JP2021144365A - Arithmetic unit - Google Patents

Abstract

To provide a method that can be incorporated into self-operated computers in which the operand is self and conventional computers, to realize the start operator that solves problems such as minus existence problems, singularities, directional contradictions, smoothness, coordinate composition, and infinitesimal real numbers.SOLUTION: Any one of Zai Δ and Kyoku | or a combination thereof is contained. An N operator that inherits from them and an N formula group are used.SELECTED DRAWING: Figure 17

Description

The arithmetic unit (N arithmetic unit) of the present invention is the (actual) arithmetic unit that is the basis of all industries, and it consists of existence and poles. A mathematically imaginary operation is regarded as an imaginary operation with respect to an existing real operation. Mathematics that deals with real operations is called real mathematics, and mathematics that deals with imaginary operations is called imaginary mathematics.

Conventional arithmetic units in the real world have a group of imaginary problems such as the following problems. That is,
1 minus existence problem <br /> In our world, there is neither a minus one apple nor a space of minus 1 m (meter) . (This is called the negative existence problem .) However, in conventional mathematics, this negative existence is used in a function (in the actual field, the function is an arithmetic means ) in a disorderly, unlimited, and unruled manner. Was there. In other words, the existence that does not exist in this world was calculated as the existence of this world. In the patent, if the software can be replaced with hardware, it was a patent, but in fact, internally ( because it uses imaginary mathematics such as including negative existence problems ), 36 without knowing it. It violated the article, and this caused singular points and errors, which had the risk of causing malfunctions peculiar to the software. It was extremely likely that software that violated the Patent Law would be granted a patent or malfunction. Furthermore, in academic and industrial progress, this causes contradictions in direction, singularities, restrictions on the functions that can be used in quantum mechanics (lagrange, gauge, metric, tensor, etc.), which are subject to the restrictions of imaginary mathematics as described later. Not only has it significantly hindered the development of science and industry, but it has also caused a risk of human life and economic turmoil due to malfunctions. It is very likely that you are inviting.
(It is necessary to pay attention to parallel calculation and orthogonal calculation as well as the negative existence problem)
2 Operators and mathematical formulas that do not make nature an element To analyze natural phenomena, formulate a differential equation, find the solution, and make a prediction. That is the usual pattern, but this differential equation is a model and needs a solution. It is an expression that does not resemble the natural world, and includes an error of infinitesimal real numbers.
On the other hand, a relative differential equation (which also has micro-decomposition and differential decomposition) by using operators that elementize, visualize, and embody nature created by classifying the natural world into five categories. RDE) is a self-calculation computer (SOC) in which the differential equation itself can be observed as a calculation result (graph of the calculation result) expressing nature. Furthermore, since it consisted of finite arithmetic means (OOC), the speed of the means was limited by these arithmetic means. However, in SOC where the calculation target itself is made into a calculation circuit, the calculation time becomes zero, which is extremely high speed. For more information,
Y. Nonomura, Measurement and self-operating computer of the leukocyte continuum as a fixed space time continuum in inflammation, bioRxiv, please use links in the literature

In conventional mathematics, problems such as negative existence problems , singularities, contradictions in direction, smoothness, coordinate composition, and infinitesimal real numbers have been solved by primitive operators. The primitive operator can be realized by incorporating it into a self-operated computer in which the operand is self or a conventional computer.
Realize SOC and gOOC by operators that elementize, embody, and visualize nature.
In particular, by realizing a self-calculation type computer, an ultra-high-speed general-purpose arithmetic unit that cannot be compared with a conventional computer general-purpose arithmetic unit (infinite speed if the manufacturing time is not included. Time is not included.) Furthermore, the "necessity of recalculation of civilization" by the components is an issue.

In particular, the existing arithmetic means and the polar arithmetic means are used.

By solving the problem of negative existence, we will accelerate all industries, drastically reduce errors, and in medical care, further improve life and health and produce safe and secure medical care.
Moreover,
Disclosed is an ultra-high-speed general-purpose arithmetic unit that cannot be compared with a conventional computer general-purpose arithmetic unit. In addition, it directly represents nature and can solve conventional mathematical problems, and it calculates operations from elementary particles to the universe in a unified and infinite speed, regardless of whether it is a living thing or an inanimate object.

ただし、

(ここはブール代数でも可)そして、
そして、実施例を開示します。
[実施例]
前記における

演算手段Ａ(AND)は、既存の掛け算機を飽和領域で使用する。

演算手段O(OR)は、既存の２入力の加算差動入力非反転DCアンプを飽和領域で使用する。

演算手段N(NOT)演算子は、既存の差動入力反転DCアンプを飽和領域で使用する。
など,もしくはダイオードアレイやトランジスタアレイにより作製される. となります。
実際のＴＴＬやＤＴＬは、反転出力を基本とするから、ＮＡＮＤとＮＯＲが要素となってもよい。その場合、ＮＡＮＤやＮＯＲの入力をショートし共通の入力とすれば、ＮＯＴができるのは、言うまでも無い。さらにＮＯＴをＮＡＮＤやＮＯＲに前置するとＡＮＤやＯＲができるのは言うまでも無い。
この従来コンピュータ演算装置の演算手段を、無限速という速度、確度などで遙かに凌駕する新しい演算装置の実現を目的とする。
――― 演算子や数におけるシンボル ―――
[式または定義] シンボルの位置と作用 (効果は,Hidden Information(H.I.)の顕在化など)

ただし,使用しない部分,不明な部分は,空白となる.不要な場合,シンボルは表示しない.各位置は,
位置：シンボルの説明を示す。 ( a: ならaの位置：の説明である。)
a:
1 ω：ω演算子参照 など
ω,ω1,ω2,ω3,ω4,ωcなどを表示する
2 増加関数

や減少関数

の表示。
b:
1 h: Hidden Information(H.I.)隠された情報あり, s : shown (省略可),
2 位相(以下のe項と共に使用し,その位相により在の内極,外極を示したりできる),
3 ₁Nは存在1,₂Nは存在2など,存在の違いを示す.
4

5

添え字を省略した微分記号は、従来の微分である。
6 G,K,Z,他などの軸を表す. 基本は、fの位置を使用する。
c:
1 演算子,

Δ, | など
2 数, ,0,1,2,3,4,5,6,7,8,9,10…
3 変数(主変数,). x, y, z, など
4 関数, f( ), g( ), h( ), k( ) など
5 外極(のエンベロープ), 種々な括弧,
6 内極(のエンベロープ), 種々な括弧,
(cは主の位置) (おおよそc以外は省略が可能である。)

d: 乗数など ： 従来通り.

e:
1 位相(カスケードで使用可), n, m, が基本
2 独立変数の性質, (intは整数, realは実数など)
3 位相空間の連続接続m, n, n_a, n_j, n_iなど,
4 n(|n)やΔnなどにて空,空間,を表す.
5 虚数学にける虚な空,虚な空間も表す事ができるが,まれである。pC4
f:
1 ベクトル, → や ←
2 数Exの値,
3 在の番号,
4 G,K,Z,他などの軸を表す.

g: 位相(前記e項のポジションと同じ)など、まれに終極位相、さらにごくまれに始極位相
基本的に在の終極位相

や極の現位相,

など、

以上cの主部分以外、いづれもカスケード使用が可能である。

などである。

附則) 平行除算と直交除算の表示
c―, o―, / ,「÷」は直交除算, p―,÷は,平行除算,を示す.(不確定または直交平行関係が解れば省略可)
注釈
注1) NpとWpが同値Np=Wpな場合は,NpまたはWpは,省略可の場合もある。
Np≡Wpではなく

, 両者は異質である.{位相分類はω1(ω)でしかできない点にも注意}
注2) 位相n,mなどは基本的に整数.
注3) n_i,m_iなどのiを付与する場合,iは位相が示す”もの”の種類をあらわす :
The infinite speed arithmetic unit of the present invention will be described based on an embodiment or a modification.
1 Use the View operator (means) to solve the negative existence problem.
In macros, use the StrZai operator (means).
In quantum, the UZai operator (means) is used.
Use the primitive coordinate system (PCS) or real coordinate system (RCS) derived from them.
As an effect, when View, especially minus, is used in the conventional coordinate system, a large directional error occurs, a singular point is generated, or it cannot be actually used. As an example, in the most popular Cartesian coordinates, only the first quadrant could be used. Furthermore, even in the first quadrant, a special means of coordinate movement (coordinate observation) such as the Euler method or the Lagrange method was required. However, if you use the StrZai operator (means) or RCS using the StrZai operator (means), you can use all quadrants, there are no singularities, and no special coordinate movement (coordinate observation) means is required. .. {If used, coordinate movement (coordinate observation) means can also be used. }

In our world, there is neither a minus one apple nor a minus one m space . The problem of negative existence has permeated the world deeply. To overcome this is to build a safe and secure world where industrial science can be greatly advanced in all layers from quantum to macro.

Moreover,
The infinite speed arithmetic unit of the present application is claimed up based on the conventional computer arithmetic unit shown below, and the AND, OR, and NOT arithmetic units, which are the arithmetic units, are novel operator means. By replacing it with polar operator means, existing operator means, etc., it became a completely new and general-purpose arithmetic unit that is super-faster than conventional computer arithmetic units. (ZAI, KYOKU, STREAM of Operator)
The conventional computer computing means will be described below, which is the gist of the claims of the computing means of the present application.
Outline 1
[Claim 1]
AND (calculation means)
When
OR (calculation means)
When
NOT (calculation means)
A computer (general-purpose) arithmetic unit characterized by having either or a combination thereof.
Outline 2
[Claim 1]
AND (calculation means) that performs a logical product operation
OR (calculation means) that performs OR operation with
NOT (operation means) that performs a negative operation
A computer arithmetic unit characterized in that any one of them or a combination thereof is provided.
Outline 3
[Claim 1]
Arithmetic means A that performs a logical product operation
And the arithmetic means that performs the OR operation O
And the arithmetic means N that performs the negative operation
A computer arithmetic unit characterized in that any one of them or a combination thereof is provided.
Outline 4
[Claim 1]
Predetermined calculation means A
And the predetermined calculation means O
And the predetermined calculation means N
The outline of the computer arithmetic unit 5 characterized by being provided with any one of the above or a combination thereof.
[Claim 1]
Predetermined A
And the given O
And the given N
Computer arithmetic unit, characterized in that any or a combination thereof is provided [Specification] for the above claims.
First of all, it is natural, but I will explain the operation of arithmetic means by mathematics.

However,

(This can be Boolean algebra) And
And we will disclose the examples.
[Example]
In the above

The calculation means A (AND) uses an existing multiplication machine in the saturation region.

The arithmetic means O (OR) uses an existing two-input additive differential input non-inverting DC amplifier in the saturation region.

The arithmetic means N (NOT) operator uses an existing differential input inverting DC amplifier in the saturation region.
Or, it will be manufactured by a diode array or a transistor array.
Since the actual TTL and DTL are based on the inverted output, NAND and NOR may be elements. In that case, it goes without saying that if the NAND and NOR inputs are short-circuited and used as a common input, NOT can be performed. Furthermore, it goes without saying that AND and OR can be achieved by prefixing NOT to NAND and NOR.
The purpose is to realize a new arithmetic unit that far surpasses the arithmetic means of this conventional computer arithmetic unit in terms of speed and accuracy of infinite speed.
――― Symbols in operators and numbers ―――
[Expression or definition] Position and action of the symbol (effect, such as manifestation of Hidden Information (HI))

However, unused and unknown parts will be blank. If unnecessary, the symbol will not be displayed. Each position is
Position: Shows a description of the symbol. (A: Then the position of a: is the explanation.)
a:
1 ω: ω operator reference, etc.
Display ω, ω1, ω2, ω3, ω4, ωc, etc.
2 increasing function

And decrease function

Display of.
b: b:
1 h: Hidden Information (HI) Hidden information, s: shown (optional),
2 phases (used with the following e term, the phase can indicate the existing inner and outer poles),
3 ₁ N indicates existence 1, ₂ N indicates existence 2, etc., indicating the difference in existence.
Four

Five

Derivative symbols without subscripts are conventional derivatives.
6 Represents an axis such as G, K, Z, etc. Basically, the position of f is used.
c:
1 operator,

Δ, | etc.
2 numbers ,, 0,1,2,3,4,5,6,7,8,9,10…
3 variables (principal variable,). X, y, z, etc.
4 Functions, f (), g (), h (), k (), etc.
5 Outer poles (envelope), various parentheses,
6 Inner pole (envelope), various parentheses,
(c is the main position) (except for c can be omitted.)

d: Multiplier, etc .: As before.

e:
Basically 1 phase (can be used in cascade), n, m,
2 Properties of independent variables, (int is an integer, real is a real number, etc.)
3 Continuous connection of topological spaces m, n, n _a , n _j , n _i, etc.
4 The sky and space are represented by n (| n) and Δn.
5 It is possible to express the imaginary sky and imaginary space in imaginary mathematics, but it is rare. pC4
f:
1 vector, → or ←
2 Number Ex value,
3 existing numbers,
4 Represents axes such as G, K, Z, etc.

g: Phase (same as the position of term e above), etc., rarely the final polar phase, and very rarely the initial polar phase, which is basically the final polar phase.

And the current phase of the pole,

Such,

Other than the main part of c above, any of them can be used in cascade.

And so on.

Supplementary provision) Display of parallel division and orthogonal division
c―, o―, /, “÷” indicates orthogonal division, p―, ÷ indicates parallel division. (Can be omitted if uncertain or orthogonal parallel relationship is known).
Note 1) If Np and Wp are equivalent Np = Wp, Np or Wp may be optional.
Not Np≡Wp

, Both are different. {Note that phase classification can only be done with ω1 (ω)}
Note 2) Phases n, m, etc. are basically integers.
Note 3) When _{i is given such as n i} , m _i , i represents the type of "thing" indicated by the phase:

1.2 Ex 被演算数 １行目
Ex 演算子の値 (Exは、数や関数) 、演算できる全ての「数」である。
1.3性質値｛２行目(位相数)と３行目(位相幅もしくは位相長)｝
２行目(位相数)と３行目(位相幅もしくは位相長)は、被演算数(Ex)の性質を表す数。である性質値。
1.3.1 Np (位相数)
Np 位相により数える数.
位相数とは、軸上(主に数直線上、もちろん曲線もあり得ます。)の位相により数える極の数です。それは、存在の数です。
Np=0の場合、対象は、存在しない。

|Np|>0 とは、存在です。基本的に整数ですが、原始レベル以下では実数もあり得え、マクロレベルでも無視は、できない。
中高生レベルでの表記 即ち、当業者容易か否かへの判断項目
位相数Npは、図面のごとく、Ｇ軸などの数直線上(曲線もある)にての数の数え方が基本で、即ち、通常の数の数え方に他ならない事がわかります。(小中学性レベルでの杭の数え方など)。同時に個々から存在(在演算子手段)の幅である位相幅も同様である事が読み取れます。数直線上では、極２つに囲まれた区間、時空間を位相数１つとする。３次元では、極をエンベロープとする球により囲まれた空間を位相数１つとするなどです。（前記の杭の数え方とともに、直線の長さの計り方など、小中学レベルです。）
さらに言い換えれば、我々の存在する３次元空間での最も一般的な数や幅{以下の位相幅(位相長)}といった長さのとらえ方を具体的に手段化したに過ぎない事がわかります。
理系高校レベルでの記載
ここで、位相数は、「計測値を位相により分類(位相分類)するために使用される値(性質値)であり、実際の時空間における同一時間軸または同一空間軸における物体の個数である位相数を保持する計測値保持手段」とし、その記載レベルを理系高校３年生レベルまで、レベルを落としました。

1.3.1.1
G軸上(主に数直線上、もちろん曲線上もあり得ます。)のStrZaiやMuZaiにおけるNpのマイナスは、Rv1です。
|Np|>0, この場合の| |は、RAOです。相対値絶対演算子(relative absolute value operator)
1.3.1.2
K軸上のUZaiの-?におけるマイナスは、実質なマイナスです。
|Np|>0, この場合の| |は、AOです。絶対値演算子(absolute-value operator)
1.3 ω性質値であるNpとWp

is,
従来の絶対値演算子 (AO) は、

相対絶対値演算子 (RAO) (See after-mentioned View operator)

1.3.2 Wp {位相幅(位相長)}
Wpは、位相による幅(長さ)(を持つもの)を示す。相対的な長さであり次元は、「長さ」であるが、相対的な長さを採用している。すなわち、ある物体を１として、それに対して他の長さをPoなどの値で示す。ある物体は、原器であってもよいし、そうでなくてもよい。目の前にある何かでもよい。
Poの必要性 (中高校生レベルでの表記で言い換えますと)
以上以下におき、多くの場合、異なる物体における、個々の計測に関して、その違いを与える変数(手段)が必要となる事がわかります。つまり、
絶対的な計測と相対的な計測があるということです。たとえば、
Kgとかｍ(メートル)などの計測は、その計測値自身が比較できるので絶対的な計測と言えます。
これに対して、ある任意の長さの紐をスケールとした場合の長さの計測など、絶対的な量でない計測の場合、変換定数(、比較)が必要となります。位相による計測は、これが必要となることが、この段階でも容易に理解ができます。これがPo手段です。(高校生レベル)
このPoは、明細書全般および図面全般における変数名Poの数式をみれば、容易に理解ができ新規事項の追加には、あたりません。Poが無ければ、１種類の計測や演算しかできない事が容易に理解できます。（中学高校レベル）

以上による３行１列の行列による分類を位相分類として、記載しますと、{自然界から得られた被演算値(Exなど)を、性質値で分類(フィルトレーション)すると、}

2 位相分類 1 (Phase class : pC1); (View: relative, on K axis) 基本的にＫ軸に存在。

極Kyoku |, (ExはG軸に直交したＫ軸の値、) 存在と存在の境界や存在と時空間との境界を示す。極は、原始演算子(primitive operator)でもある。
3 位相分類２Phase class 2 (Phase class : pC2); (View: UZaiはViewなし, StrZai: local and relative View) 基本的にＧ軸に存在。

(ExはG axisに平行な値 )は自然界をあらわす。
MuZaiからViewを除いた不確定性在UZai Δは、K軸に行く。

在は、G 軸自信を形成する。IDO参照
4 位相分類３Phase class 3 (Phase class : pC3); (Fig. 1e, f) (View: relative) 基本的にＫ軸に存在。

極集合(体)です。ただし１個の極(体)を含む。
不確定性在UZaiは、(Str, Viewを失う事によりＧ軸からＫ軸にシフトするので、)、ここに分類される。

Exは、G軸に直交な値です。
5 位相分類4 (Phase class : pC4); (Fig. 1g) (View: relative) 虚区間

位相分類４は、虚な区間。虚区間です。それはベクトルやスケール(定規などの目盛りを実世界に重ねるARするイメージ)です。そのExは、G軸に虚な平行関係値です。場がありません。虚なスケールです。Viewは、数学上使用できますが、それは虚なViewであり、束ねや分配というような、観察と演算は、ｐC4でも区別して使用しなければなりません。
6 純数 (pN) 分類外は、位相分類５
性質値であるNpやWpを持たない数、関数、演算子。

7 以上のごとくに、ω演算子(３行１列の行列)は、分類(フィルター手段)手段とも言えるし、また、演算子(手段)という事もできるし、数Ｅｘの性質を示す指標子(手段)という事もできる。

8 請求項的なまとめ (日本語で、かつ、数学高校生レベルでの３６条対応文)
被計測物を計測した計測値などの、あらゆる演算できる、被演算値(変数名Exなどで表現)を、分類(フィルター)する、分類(フィルター手段)手段である
少なくとも３行１列の行列手段を備えるω演算子手段を、少なくとも備える演算装置であって、
前記行列手段は、
１行目は、被演算値を保持する被演算値保持手段、と
２行目は、前記被演算値を位相により分類(位相分類)するために使用される値(性質値)であり、実際の時空間における同一時間軸または同一空間軸における時間や物(体)の個数である位相数を保持する位相数保持手段、と
３行目は、前記被演算値を位相により分類(位相分類)するために使用される値(性質値)であり、実際の時空間における同一時間軸または同一空間軸における時間や物(体)の幅(長さ)である位相幅を保持する位相幅保持手段、
（ここで位相数や位相幅において、時間は１次元なら１軸、空間は３次元なら３軸まで存在するとする。）
とである行列手段であり、

前記行列において、前記位相数がゼロ以外 かつ
前記行列において、前記位相幅がゼロ以外
の計測値を識別する 在(位相分類２)手段である
Δ手段(略してΔ)
または／と
前記在演算子において、少なくとも、マイナスの演算を相対的な演算に限定するStr演算手段において相対演算における＋側である左Str演算手段を備えた左Str在演算手段である

手段(略して

)
または／と
前記在演算子において、少なくとも、マイナスの演算を相対的な演算に限定するStr演算手段において相対演算における−側(マイナス側)である右Str演算手段を備えた右Str在演算手段である

手段(略して

)
または／と
前記行列において、前記位相数がゼロ かつ
前記行列において、前記位相幅がゼロ
の計測値を識別する 極(位相分類１)手段である
|手段(略して|)

におけるいずれかまたはその組み合わせにおける演算をなす原始演算手段、
とを備える事を特徴とするコンピュータ(演算装置)。

さらに詳細には、
1 View 視 {観察(位置)は、重要}
View演算子 (視演算子) (1)
1.1.1局所場におけるローカルビュー, 局所ビュー, 局所視{local View (Lv) of local field}
このView (Lv)は、 + のみです。
Lv=+ (2)
1.1.2全域場における全域ビュー(全域視) グローバルView, Global View (Gv) of Outer field
このView (Gv) は、 + or−の２種類です。
Gv₁= - (3-1)
Gv₂ = + (3-2)
1.1.3 リレイティブView, 相対View, 相対視, Relative View (=Real View) (Rv)
LvとGvの複合場(合成場)が Rvです。Rv は、複合場(complex Views)です。 それは{+ and −} or {+ and +}などです。 (内側の括弧は{Lv and Gv}をあらわします) Viewは、以下の演算則により計算(演算)されます。
1.2 Str演算子, Str (Stream and Strepto)
Str は、純数との乗算により演算される。生まれる。

一例として

. (5)
“h” は、隠された変数です。
1.3 定乗算Constant Multiplication (CM)
Viewを持つ違う種類の在において、“_*” 演算子は、"・"です。しかし、同じ種類の在においては、それらは、異なります。同じStrZai同士においての“_*” 演算子の結果は、一定不変です。
(Gv₁= -, Gv₂=+, Lv=+) (h is HI) (Gv: Global View, Lv: local View)

Gvは原極(Kyoku Origin)を使用しない乗算と除算において不変です。(変化しません)。そして観察者が見ている(観察している)同じView (向き)は、変化しません。 それは束ね(Bundling)と分配(Distributing)です。しかし、もし観察者が、在対の中心原極に位置するなら、観察者は、２つのViewと外極を得る事ができます。

ゆえに
Rv₁= - (8-1)
Rv₂ = + (8-2)
_RVStr におけるS_? (補足方程式S1)

すなわちStr演算手段(Str演算子手段)は、（View演算子も同様）
マイナス１個のリンゴもなければ、マイナス１ｍの空間も無い。などの絶対的な数や演算は、この世界に存在しない。ので、
マイナスの演算を相対的な演算に限定した手段がStr演算手段(Str演算子手段)。と言うことが容易に理解できます。
Str演算手段(Str演算子手段)は、そういったものでありますので非常に単純な改良に過ぎませんが、
効果は、身の回りにあるどのような発明よりも高く、幅広い分野への大きな効果を有します。
従来は、実際に存在しえないマイナスの時空間(マイナス１個のリンゴもなければ、マイナス１ｍの空間も無い。)を、演算してしまっていたのですから、当然、従来の手段では、誤差、特異点、誤動作をしていたわけです。非常に恐ろしい装置の存在、その動作不良の断続、連続であったわけです。特に力学系では、領域制限や特異点の排除を行って、性状動作を得ていた訳ですので、予測不可能な領域、特異点の出現は、動作不良につながっていました。
これらをStr演算手段が解決します。
そして、Str演算手段は、在演算手段（または／と極演算手段）を実現した上で、作動する手段ですので、請求項１では、在演算手段に配置されています。

2 pC2存在、The pC2 existence, (Figs 1b-d, 4, and 5) 方程式equation (2)
水処理白血球(WTL)、水溶液処理白血球(WSTL) (Fig. 3)から要素化した在は、極による閉じた内場です。(Fig. 1 と 3) その極は、内極です。内極は、Z軸を構成します。(Fig. 5a)
内極からの観察は、閉場として観察されます。その閉場は、局所場Lfです。その内場(If)の観察は、開場です。(Figs 1 and 3) (Supplementary Note S1)
2.1 位相場Phase field (pF) (It distinguishes from topological space and physical phase space.)
(空)ポテンシャルPoの分離、隔離、アイソレート、 (Poは、実ポテンシャル)
Po が τ 時の場合¹ (Fig. 3)

ここで, pC5純数としての純要素数pure Element Number (pEN)が、

であるとする。
局所View(local View)を

LvStr (_LvStr)はLeft Str (_LStr)であり“_*” は定乗算Constant Multiplication (CM). (1.3参照)

Local Viewは + のみ、そして、local Str は Left のみです。 (Fig. 3b)
τの分離(アイソレーション),

要素数としての純数は、自然のオブジェクトを要素化した純数です。
Lv は、局所視,局所View (local View). それは始内極(内極の始まりから)での観察から見られる方向です。(Fig. 3b). Lvは+のみ.
g(p)は、位相計測関数 phase measure function (PMF)
g₁(p) = (n+1) -n = +1 (10-1)
g₂(p) = n - (n-1) = +1 (10-2)
さらに拡張すれば (基本 m=1) (n は 原極Origin, m は、非原極non Origin)
g₁(p) = (n+m) -n = +m (10-3)
g₂(p) = n - (n-m) = +m (10-4)
この以下の場合の| | は絶対値absolute value
n = n・Str, (n is Origin)
m・Str = m・Str (n is non-Origin)
|Str|=Str, |S₁|= S₁, |S₂|= S₂
従来のabsolute-value operatorは、

相対絶対値演算子relative absolute value operator (RAO)だと,

Str と g(m)は、
S₂・g₁(m) = (n+S₂m) -n = +m (10-5)
S₁・g₁(m) = (n+S₁m) -n = -m (10-6)
S₂・g₂(m) = n - (n-S₂m) = +m (10-7)
S₁・g₂(m) = n - (n-S₁m) = -m (10-8)
関数g(p) は、要素数の位相計測をなす位相計測関数である。関数g( )は、ひとつのオブジェクトを位相により計測した時の絶対無次元尺度です。
2.2 _LvStrZai (Fig. 3b)
局所場Local field (内場Inner field)

原極Originは、境界に位置します。従来, 境界の原極Originは、マクロでは使用できない。しない。 (次の2.3章参照, 束ねと収束微分Bundling and Convergence Differentiation)

これは、(絶対原極を除く)IDO{Inner Filed Draws (Defines) Outer field}により決定された座標を示します。
2.3 全域場Global View
白血球が、位相ｎ(Fig. 3b)で観察されたとします。その時、その演算は、C3の全域視(Global View)を得る。(C3はcondition 3.) そのGlobal Viewsは、それぞれGv₁= - そしてGv₂=+。 そして、2つの局所場local fieldsはひとつの在対Zai Pairを形成します. その場は、相対場relative field (実場real field)を形成します. この行為は、原極Originを生じます. その時、外極は、原極の性質を持っています。 観察は、位相ｎで内極へ原極の性質を与えます。それはIOSF (Inner Kyoku-and-Outer Kyoku Synchronous field)です. それは原極Originの決定です.
原極としての極の求め方一例、IOSFの一例

Rf is relative field. phase value n is character of Origin.
2.4 相対場Relative field RvStrZai (Figs 3c and 4)
Gv is operated to local field. It is relative field.
C3 (Figs 1c-1, 3c and 4)¹ , m=1

分配Distributing,

分配Distributing,

C4 (Figs 1d-1 and 4) (Supplementary Fig. S3)¹ , m=1

分配Distributing,

分配Distributing,

ゆえにRvStrは、式 (8)参照

2.5 座標系Coordinate system
As a result, coordinate system consists of the scale by IDO, and an Origin by IOSF. 結果、
座標系は、IOSFによる原極OriginとIDOによる目盛り(スケール)により構成される。
2.6 Np と Wp
iN は、内場数 inner field Number. {Npの要素数}, iW は内場幅inner field Width { Wpの要素幅}, iN=1, iW=1.
2.6.1 Np

2.6.2 Wp

2.7 ω 演算子のメンバω operator memberは、

ViewやStrは、関数の変数に混ぜてはいけない(混ぜないとは直接演算しないこと)。This is an answer of millennium problem in Navier-Stokes’s equation NSE¹. 加減算は,

3 在Zai
3.0 Uncertainty Zai (U.Zai)² (原始演算子primitive operator)
U.Zaiは、Viewを持たない。Viewなしの在は、存在する (Figs 1b and 4).
もしViewが この式から除去されたなら (16) or (15),

Here,

The { or }は、不確定性演算子Uncertain operator. (Supplementary equation S1)
? = {-1 or +1 } (33)
3.1 U.Zai (primitive operator)
pC2 of ω1_operator generated the Uncertainty Zai (U.Zai) as the simple element in OW. .

The n is a value of phase. An example is Fig. 1.
従来は、このような不確実な値は、計測に不向きとされ採用していなかった。この要素素子の作成が、素粒子からマクロまでの統一と、座標系の結合、さらには虚数の実体化に寄与してゆく。これまで、数百年間謎であった自然界の計測を可能とする基礎となる。そして、不確定演算子Δは、Str演算子によりStr在となり、極値を演算でき、その結果、実施例における炎症計測、従来計算してしまっていた座標系の符号、特にマイナスの関数内変数への混在を予防し、正しい演算を導く。
3.2 StrZai (Secondary operators)
ω1演算子のpC2は、我界の連続体としてのStrZaiを生成します。Str演算子によりU.ZaiにStrが与えられると, _RStrZai と _LStrZai が得られます. Right Str (_RStr)は、Str₁=S₁= -1. Left Str (_LStr)は、Str₂=S₂= +1, そのテンプレートは

です。(Strは、微分で変化しません, しかし, その“?” は、微分で変化します。) (Figs 1, 3, 4, 5) (Supplementary equation S1) ここでの微分は、従来の収束微分です。基本的には、微分といったら従来の微分である収束微分を示します。在対演算による微分は、相対微分です。
3.3

一般的に m = 1. _pPo は、位相場における位相ポテンシャル(_pPo=m) pPo：phase Potential.
3.4

3.5 Strのテンプレートでもある S_? (マクロ不確定性在)
S_?Zai は、マクロ不確定性在Macro Uncertainty Zai (MuZai) (Template Str Zai is TSZai) (Fig. 3)¹

g₁(p) = (n+m) -n = +m (10-1)より
g₂(p) = n - (n-m) = +m (10-2) より
(S_?は、微分で変化しない。しかし“?”は、微分で変化する。) (Supplementary equation S1)
3.6 実数学の表記法Notation of real mathematics
Rf と Lf は、場の表記法です。Rf and Lf are field notations.
3.6.1 StrZais (Rf は、省略可能)

3.6.2 Relative View 相対視

3.7 虚数学の表記法Notation of imaginary mathematics (Vector) is, (pC4)

4 pC1ゼロの存在pC1 existence of Zero 極(Fig. 1a) 式(1)
pC1ゼロの存在、相対微分方程式、実座標系におき、
もし、NpまたはWpがゼロに計算されるなら、それは極を得ます。それは正確に微分です。RDEは、無限小実数を使用しません。それは、連立式を実現可能とします。
4.1 単在の保存場Conservative field of single Zai

極と不確定性在は、

UZaiとKyokuは、同じK軸にあります。従いまして、それらはpC3となります。
4.2 C3 Str在対C3 StrZai Pair¹(相対場relative field, 加算addition)

4.2.1 ２つのWSTL Two WSTL (Figs 3c and 4)¹

その状態は

{g(p) = m 独立変数 m }
4.3 C4 Str在対C4 StrZai Pair (Fig. 4)¹

4.4 U.Zai Pair¹

4.5 極Kyoku
ω1_演算子のpC1は、極を生成します。Foundation is; (K is K axis. Z is Z axis.) {1は純要素数pure Element Number (pEN). pENは、純数(pC5)です.}

３状態は、

4.6 相対微分Relative differentiation
相対微分は、在対により極を得ます。
4.7 従来の微分conventional differentiations
従来の微分は、StrZaiの束ねです。ゆえに、無限小(実)数は、ひとつのStrZaiを示す。ひとつのStrZaiは、ひとつの内極にて、ひとつの外極と接続しています。
5 相対座標Relative coordinate
原極Originは、IOSF, IDOであり、座標系のスケール(目盛り)でもあります。
6 pC3 (Fig.1e, f) 式(3)
上記のごとく、内極とリンクしている外極は、現実のものとなります(Fig.1e)。内極と分離した外極は、不知となります(Fig.1f)。ゆえに、pC3は、現状での隠れた情報です。(Fig. 3).
7 pC4 (Fig. 1g) 式(4)
肉眼をはじめとする人間の感覚において、pC4はマクロに存在しません。
8 IDO と要素相対座標系 element-relative coordinate system (eRCS) in OW in N.W.
C3とC4における位相によるeRCSの例 (Poがtなら, 原極は時空間のt= 0となる)
8.1.1 C3座標系 (位相を詳細表示) ２行ｎ列の行により局所場と相対場を表現
C3 coordinate system (RCS)の位相詳細phase in detail, 原始状態ではPo=1
IDO C3;

phase value g₁(p) & g₁(p) は上記の位相値です。
g₁(p) = (n+1) -n = +1 from (10-1)
8.1.2 C4 座標系 {The C4 coordinate system (RCS)}
IDO C4¹

Phase value g₂(p) & g₂(p) は、上記の位相値
g₂(p) = n - (n-1) = +1 from (10-2)
(上記式の左辺：

の下に記載の数は、各々の場におけるStrZaiの値です。その両側は、位相値です。第１行(１列から６列、但し中央の２列は原極とし、実態は中央１列として計５列)は、局所場の位相です。第２行は、相対場です。そして、その２つの行は、内場と外場による複合場の位相を示します。
式の右辺: 場の関数による表記)
省略して表記すると,
C3 is ^R(^L

) ^R(^L

), C4 is ^R(^L

) ^R(^L

).
さらに省略すると,
C3 is

,C4 is

.
となる。
同じStrZaiは,局所場で演算(絶対演算)され、最終的に,違うStrZaiが全域視にて演算される。相対演算である。これは、絶対的な演算は,局所場により行われ,相対的な演算は、相対場により行われる。言い換えると,この世には、マイナス一個のリンゴもなければ、マイナス１ｍの空間も無いので、絶対演算には、そのようなマイナスの存在を禁止し、相対的な演算にのみマイナスを使用する。即ち、違うStr同士の演算にのみ、マイナス(減算)を許可する。５個のリンゴを２個食べれば３個(5-2=3)となるなどである。
8.2.1 Wp =m, Np = m, そして Str はg()に組み込む.
C3相対座標系 (RCS), IDO C4 (Po=1, n=0),

Phase value g₁(m) & g₁(m)
g₁(m) = (n+m) −n = +m
S₁ g₁(m) = (n+ S₁m) −n = + S₁m = −m
S₂ g₁(m) = (n+ S₂m) −n = + S₂m = +m
8.2.2 C4相対座標系 C4 relative coordinate system, (n=0)

Phase value g₂(m) & g₂(m)
g₂(m) = n − (n−m) = +m
S₂ g₂(m) = n − (n−S₂m) = +S₂m = +m
S₁ g₂(m) = n − (n−S₁m) = +S₁m = −m
8.3 Smooth-quality 滑らか品質
同じStrZaiは、束ねられます。違うStrZaiは、計算されます。Nの定理N’s formulaによる束ねの定義を、(m=Po)として以下に記載します。ここで、Poは、実ポテンシャルです。pPoは、位相ポテンシャルです。pPoとpPoは、Po=pPo または Po≠pPoの場合があります。Po≠pPoの場合は、頭のなかでの思考の中のポテンシャルです。
8.3.1 局所場Local field
_LStrZai only

8.3.2 相対場は実場Relative field is real field
8.3.2.1 位相変位(位相推移)Phase shift
_RStrZai

_LStrZai

8.3.2.2 位相固定Phase locking
_RStrZai

_LStrZai

8.3.3 簡略化Abbreviated, (位相推移と位相固定phase shift and phase locking)

それら二つの式は Nの定理(N’s formulas) として定義されます(特に_RStr). (この演算は、演算の途中に原極Kyoku Originを含まない)¹ さらに,

(すべての座標系で一定)
これを滑らか品質 smooth-quality と定義する。(特に _RStrが重要).
8.4 滑らか品質と極(原極)Smooth-quality and generation of Kyoku (Origin) (Orthogonal axis),
8.4.1 Str在対
Str在対(StrZai Pair) (C3

と C4

){加算(Rf) と乗算(Lf) の同時性}
もし原極が生成されたなら、演算は、相対場relative field (Rf)でなされる。K軸(K axis)が、G軸に直交して現れる。(マクロ)関数演算は,局所場local field (Lf) (G axis は我界)でなされる。

これは回転しません。滑らかで安定な実座標系real coordinate system (RCS), (原極| 発生は、特別な場合です。それは、直交軸生成です。そしてRDEなどです。)

8.4.2 実座標系としての機能演算 Functional operation, as real coordinate system (RCS),

8.4.3実座標系としての機能演算 Functional operation, as real coordinate system (RCS),

それらは滑らかです。回転しません。(自然現象と等価です), the n is AO.
マクロでは、RCSは滑らかで安定です。相対場(Rfは相対視を有する)による加算と局所場における乗算そして極接続においては、同時におこる。それがマクロの実座標系です。
8.4.4 PCS (原始座標系primitive coordinate system)
もしViewがStrZaiから外されると、UZaiとなる。UZaiは、乗算により回転する。それは、４つの象限を生成する。それは、粒子から波動性を生成する。それは原始座標系と定義されます。
連続的加算と連続的乗算Continuous addition and continuous multiplication,
存在時間が不確定性原理のEｔ関係ほど短いと、

ゆえに、保存場が、ほんの少しでも崩れると、マクロ(RCS)が生じる。

ここで、存在時間が長いと、

8.4.5 在の乗算Multiplication by Zai (parallel multiplication),
8.4.5.1 Local View 局所視

It is smoothness. No rotation, by +1 is not able to rotate. It is not able to rotate by +1.
8.4.5.2 Relative View 相対View、相対視、

8.6基本的にStrZaiのバンドリング(束ね)の後に、その他の演算を行う。
8.7 一様連続Uniformly continuous
8.7.1 一様"Uniformly"は、在の存在と等価です。
8.7.2 連続“Continuous”は、極接続している相互の在の内極が同期している様です。 さらに, その在が相互に同等なら一様連続"uniformly continuous"です。
9 在と極は、自然界の要素たりえます。ゆえに、それを実体化したWSTL, WTLは、単体なら実在の要素素子であり、結合体、集合体、連続体では演算回路であります。また、OOCでプログラミングした(仮想マシンなどの)極や在も自然界の要素たりえます。
それらは、SOCやOOC、gOOCなどのコンピュータを形成できます。
10 The biggest problem of physics is using the minus of coordinate system in function, especially in Descartes's coordinate system. 以上以下のごとく物理学の一つの大きな大きな問題は、座標系のマイナスを関数内で無秩序にて使用する事により生じた問題(マイナス存在問題)である。
このマイナス存在問題を解決するために、StrZai演算子は、座標系のViewと関数内の符号演算を分離するためのView演算子を有する事を特徴とする。UZaiは、Viewが無いので、マイナス存在問題がなく、さらにPCSや(マクロ)RCSを生成できるので、マイナス存在問題を解決できる。

基本演算
Re-calculation of modern civilization by the new-operator which phase class makes
演算手段の動作を数学により解説 図１から図２１も適時参照してください。
0 ω演算子(ω_Operator) (ωとω1は、同じ。ω_Operator とω1_Operatorも同じ演算子)
任意の純数Exにおき,原始演算子Op(ここでは在Δ、極｜)(基本型)は,

0.1 ω：この部分の情報(シンボル)は、
0.1.1 ω(ω1), ω2, ω3, ω4, などのどのω格子なのかのω格子(ω matrix)情報
ωなら上記演算子（省略可能）、ω３は、３元のExを示す（省略不可）、ω格子は文献特願2013-189894, 2015-35196, 2015-200651, 2015-201199, 2015-201200, 2015-201201, 2015-201206, 2015-076389, 2015-076390, 2015-076391, 2015-076392, 2015-078097, 2016-124020, 2017-247113, 2017-163799, 2018-123768などを参照
0.1.2 場の名前field nameなどの場の情報
Lf : 局所場(Local field)、{Gf : 局所場(Global field)}
Rf : 相対場(Relative field=Real field)
0.1.3 ωd(switch) の状態情報
ON OFF 後述
0.2 P or ΔP、：この部分の情報(シンボル)は、
位相、位相場phase fieldを示す。後述参照、位相は、同質の数値の対比です。同質とは、同じ物理量を示す数や、後述のNp,Wpなどで分類された数などの対比が可能な数における対比です。対比は、減算または除算、そして場合により加算です。まれに乗算です。
在や極などの位相、位相場を示す
ここで基本的に、
nは、原極です. 「ｎ」は、オリジンです。
LFのOriginは、AOでありROでもあります。(別の言い方では、Local FieldのAOとROは、同じものです。)
右Strと左Strが出会う位相または離れる位相「ｎ」は、「AO」です。
異種Strの接合極は、AOです。
同種Strの接合極は、ROです。
1 在演算手段は、

不確定性在には、Viewがない. 観察者がない. 観測行為がない。Str在には、それが、ある。
2 極演算手段は

3 Str演算手段(Str Operator)は、
S₁= −1, S₂=+1, Template S_?={ −1 or +1} となる。
ここで、ω1演算子(ω1_Operator)は, ωd (switch)を以下のごとくON,OFFできるものとする。

ωd (switch)がONなら,ω1_Operatorは位相幅widthと位相数numberを区別できる。

ωd (switch)がOFFなら, そのω1演算子(ω1_Operator)は交換則commutative lawを有する
極や不確定性在は原始演算子(Primitive Operator),Str在は２次演算子(Secondary Operator)
ここでPoは、空ポテンシャルであり、ここの存在同士の相対的比率を示す。（言い換えると、この世界（我界）の基本（要素）は、無限小実数ではなく、純数（整数）の１なのである。
それに空Poを乗じて、様々な存在をあらわすのである。）
4 演算手段の応用回路手段の諸例
どんなアプリを搭載する、どんな複雑なコンピュータもAND,OR,NOTの手段(SN7400など)により実現されている.(実際現実の回路要素は、NAND,とNORである.) 理論的にはAND,OR,NOTの演算手段により,どのような演算を実現するかを数学的に示せば、それは、どのような記載より,より明確な,特許の開示手段である。さらに極、在を数学的に示し,それを実現する水溶液処理白血球や素粒子などを始めとする様々な(自然界に存在する素材にて加工された)部品として示せば,それは,どのような記載より,より明確な特許である.
演算手段の応用回路手段の諸例とは、以上の様式などにより、従来のAND,OR,NOTの演算手段に変わる在、極、(Str)を開示し、AND,OR,NOTの演算手段により成り立つ手段などを、従来と同様に示す事である。
ただし、開示順は、先に記載した特許庁の様式により、回路の数学、そして、実施例を記載する。
1 ω1_Operator, (pF :位相場 phase Field)

自然界を分類する演算子であるω1_Operator
Exが、ある“もの”の値である.
Npは、位相により数える数である。具体的な一例としては,位相により数える極の数である。
Wpは、位相による幅、極と極の位相による幅(長さ)である。
基本的に観測者は、G軸上に存在する。
以下などの位相分類は、図１参照
2 位相分類１:Phase class 1 (pC1) (View: relative)

ゆえに、我々の(宇宙)空間を示している。The space is zero space. (位相)数Npがゼロ,空,であり、そして(位相)幅Wpもゼロ、空、であるから。ゆえに、我々の(宇宙)空間を示している。絶対原極での相対微分方程式の(出力)値。即ち、無存在での空間の背景値である。保存場におけるブラックホール、ホワイトホール、宇宙の中心を、２世界から相対微分した値でもある。
3位相分類2:Phase class 2 (pC2) (View: UZai:relative and StrZai:Local)

3.1 極と在

4位相分類3:Phase class 3 (pC3) (View: relative)

観測者が絶対原極にいる場合における、少なくとも分母に内極iKをもつ存在に対する、絶対原極以外の相対微分方程式の(出力)値。在の直交変換とも考えられる。我界からは、(位相)幅ゼロの極であるが、その直交世界には、在連続体が存在するので、その在連続体の数が, (位相)数(Np)としてもよい。在連続体が存在するので不確定性在（不確定性理論に派生できる）、があり、逆に、不確定性理論ゆえに、時間は、在連続体である。
存在におきiKなしが無生物で、iKありが生物となる。
pC3 Np>1生命力であり、pC3 Np=1は、卵やコッコイドフォームの細菌など休止期の生命または、無生命体である。
相対微分方程式C1やC2における解のγ上限値が、生命の上限を示す(他項ゼロの場合のSLLの値γ=2)。組織破壊がこの値を負にすれば、それは修復不可能な傷害となり、逆に、生命の上限を超えても、細胞が連続性を失い、脱落自立化する。それはガン化(過剰生命)を意味する。ガンのNpは、Np→１（限りなく１に近い１、無限小実数分のみ１から遠い。）である。
極と極集合

pC3のNp>0なら、pC3→pC1(エントロピーの減少, 生命の享受), 生命は、pC3Np>0
pC3のNp<0なら、pC3←pC1(エントロピーの増大, 通常物質), 非生命は、pC3Np<0
Np=0なら通常空間すなわち、pC1極となる。極は、エントロピーの橋。
ゆえに、生命は、単極を含む極集合体となる。
5位相分類4:Phase class 4 (pC4) (View: relative)

6 純数Pure Number (pN)
純数はclass5 (pC5)とする、純数はNp と Wpをもたない。
pure Element Number (pEN)は、純数pC5

ちなみに、AND,OR,NOTの各演算手段は、pC2に分類される.
７ 在、極演算子と形態素、ラベリング文字
ここで、在と極は、究極の漢字(形態素)でもある事がわかる。それに対して純数は、ラベリングの文字の進化形ともいえる。Poなどは、ラベリングの文字の進化形としてわかりやすい。そして空ポテンシャルPoは、在や極の分配(Distributing)によりpC2などへ派生することができる。また、束ね(バンドリング)(Bundling)により純数へ戻ることもできる。演算の精度をより向上させるためには、標準体である在以外の演算子や数(極や純数)を使用する方がよい場合が多い。在演算子などpC2の数や演算子は、極力少なく使用する方が演算が楽である場合が多い。
在演算子や極演算子が明示されている場合は、明確であるが、Δや|などの漢字表示の場合は、時空間情報が示されるが、ラベリングの文字表示（ｔ、τ、Nなど）では、時空間は、位相などにて明示しなければならない(_nN_n+1)など。そのため位相を明示するか、斜体を在pC2(Nなど),その他を標準文字(Nなど極pC1や純数など)で表示する。ゆえにPoなどは、斜体でも標準でも、どちらでも良い場合が多く、それゆえに、これらの表示は、間違いやすく、煩雑である。ゆえにΔ、|などの演算子表示が望ましい。なお、在演算子は、三角在Δが基本であるが、丸在○、角在□(四角在〜多角在)などを使用して、より現象に即した演算子を使用してもよい。
以上などこれは、まさに、究極の漢字である。
それらに対応してPoなどラベリングの文字(日本語では、ひらがな、かたかなに相当する。) を、組み合わせ使用する。さらに説明文は、ラベリングの文字が有効である。こういった意味では、日本語がいかに実数学の基礎をなしているかがわかる。ゆえに実数学の文章は、日本語で記載するのが最適である。（幼い時から日本語を使用しているものの科学的優位性がここから判明する。アルファベットなどラベリングの文字のみでは、位相表示、斜体表示をしても限界がある）
7 各種演算手段の数学による動作説明 図３、図４、図５，図６参照
Local View

Lv Str (_LvStr) is Left Str (_LStr) “_*” は、Constant Multiplication(CM)

Local View は + のみである。Local Str is Left のみです(If:内場Inner Field, Lf:局所場Local Field)

τの分離

白血球単体に対応
g(p) は、位相観察関数(phase measure function)
g₁(p) = (n+1) −n = +1 (10-1)
g₂(p) = n − (n−1) = +1 (10-2)
pを今まで通りmで書き直すと、
g₁(m) = (n+m) −n = +m (10-3)
g₂(m) = n − (n−m) = +m (10-4)
Strを加味するなら、(nはoriginなのでStrは,作用しない。もっとも,等式内で消滅する)
S₂・g₁(m) = (n+S₂m) −n = +m (10-5)
S₁・g₁(m) = (n+S₁m) −n = −m (10-6)
S₂・g₂(m) = n − (n−S₂m) = +m (10-7)
S₁・g₂(m) = n − (n−S₁m) = −m (10-8)
m=1なら、
g₁(1) = (n+1) −n = +1 (10-9)
g₂(1) = n − (n−1) = +1 (10-10)
_LvStrZai
Local Field (Inner Field)

すると(Rf:相対場)

C3

C4

さらに、位相をｍ単位として表記すると、（さらに、位相にStrを分配した表記を付記する）
位相をStr表記するという事は、局所場に全域のViewをCMする表記であるので、局所場表記と言ってもよい{ Gv_*LF(_*pEN) }。n, m などの変数のみでの表記は、Rf表記(n+m, n−m)と言ってもよい。{原極であるnには、StrがCMできない。またnは、g( )中で消滅する。}

位相をStr表記するという事は、局所場に全域のViewをCMする表記であるので、局所場表記と言ってもよい{ Gv_*LF(_*pEN) }。n, m などの変数のみでの表記は、Rf表記(n+m, n−m)と言ってもよい。{原極であるnには、StrがCMできない。またnは、g( )中で消滅する。}
在の位相表記は、Gv_*LF(_*pEN)表記でもよいし、RF表記であるn+m, n−mでも良い。
n−m = n+S₁m, n+m = n−S₁m, n+m = n+S₂m, n−m = n+S₁m などである。
左辺がRF表記、右辺がLFとGvによる(RF)表記である。

全域局所場表記GvLF表記(GvLf表記): n+S₁m, n+S₂m, n−S₂m, n−S₁m
GvLf notation, Global View Local Field notation,

相対場変数表記 Rf変数表記(RF変数表記)} : n−m, n+m
Rf variable notation, Relative Field Variable notation

C3

,

C4

｛の括弧における向かって左肩のC3,C4は、それぞれC3場(space,座標)C4場(space,座標)を示している。原極(Origin)をしめす位相値nに対してStr在の配置(配向)関係を示す。
Np (18) g(1)をg(m)としても良い。mは任意の正の整数

Wp (19) g(1)をg(m)としても良い。mは任意の正の整数

Wp=λ・Np＝Np・λ, iW=λ・iN=λ・iN iN:位相個数比(要素内場数)は原則１となる。iW:位相＿位相幅係数(要素内場幅)(ここでは１である)。iN is inner field Number (内場数,内場位相数). {Number of element in Np (位相数の要素数)}, iW is inner field Width (内場幅,内場位相幅). {Width of element in Wp (位相幅の要素幅)}
ZaiFTから考察した場合、K軸周波数(空間)とG軸時間(空間)の変換係数となる。
以上、以下などのNp、Wpは、図２参照
さらに、g( )が内極を有していたなら(閉じていたなら),

となる。g( )が内極を持たなければ、

ω Operator member

Viewは、関数に混ぜてはいけない。Viewは観測行為なのだから、量子場には無い。

Local View (Lv) of Local Field
The View (Lv) は + のみである
Lv=+ (22)
Outer FieldのGlobal View (Gv)
Gvは+ または−.
Gv₁= − (23-1)
Gv₂ = + (23-2)
Relative View (=Real View) (Rv)
LvとGvの複合ViewがRelative Viewです。LvとGvのそれぞれのViewは、{+ and −} or {+ and +}となります。
Str (Stream and Strepto)

. (25)
“h” は隠された情報{Hidden Information (HI)}
Constant Multiplication (CM)
(Gv₁= −, Gv₂=+, Lv=+) (h is HI) (Gv: Global View, Lv: Local View)

ゆえに
Rv₁= − (28-1)
Rv₂ = + (28-2)
そしてS_? in _RVStr図１７

_RStr = S₁ = −
_LStr = S₂ = +
_RStr は右Str. _LStr は左Str. Right StrZai は

. Left StrZai は

.
Zai
Uncertainty Zai (UZai)
UZai はViewをもたない. ので
式11, 12, 15, 16,からViewを除くと,(観測者,観察者、が存在しない.)

ここで Viewを除く部分の詳細は、いずれの方法でも

g₁(m) = (n+m) −n = +m (10-3)
g₂(m) = n − (n−m) = +m (10-4)

S₂・g₁(m) = (n+S₂m) −n = +m (10-5) C3
S₁・g₁(m) = (n+S₁m) −n = −m (10-6) C3
S₂・g₂(m) = n − (n−S₂m) = +m (10-7) C4
S₁・g₂(m) = n − (n−S₁m) = −m (10-8) C4

{ or }は、不確定性演算子Uncertain Operator. ? = {−1 or +1 }
? = { −1 or +1 } (33)
UZai （不確定性在は、原始演算子Primitive Operatorのひとつ。）
ω1_Operator が Uncertainty Zai (UZai)を示す。（pC2）(OWの要素のひとつである)

n は位相の値.(両内極位相は、n & n+?, or n & n−? のいづれか)

(_pPo=m) pPoはphase Potentialです。図１７
ｍは、基本的に、m=1

基本的にm = 1. 独立変数におき m はg(p)

図１７

StrのテンプレートであるS_?
S_?Zaiは Macro Uncertainty Zai (MuZai) (Template Str Zai は TSZaiと略する) 図１７

(S_?はStrのテンプレートであり、微分で変化しない。しかし, “?” は、微分で変化する)
（Str在は、２次演算子Secondary Operatorのひとつ。2次演算子は、原始演算子から派生できる）
(不確定性在には、Viewがない. 観察者がない. 観測行為がない。Str在には、それが、ある)
Real Mathematicsの表記のしかた
Rf と Lf は 場(Field) の表記
StrZais

Relative Views

Image Mathematicsの表記 ｛ベクトル(Vector)｝(それはpC4)

保存場としてのsingle Zai

Kyoku と Zaiは、

外極と内極は、同じ平面に存在し、平行加算と直交加算が可能である
C3 StrZai Pair

(43)
２つの白血球leukocytes

状態Conditionは、

{g(p) = m 独立変数としてのm}
C4 StrZai Pair

|.Exは、極の値。

不確定性在対Uncertainty Zai Pair

Kyoku
ω1_Operator は、位相分類１(pC1)の極を生成する (KはK軸, ZはZ軸) {1は pure Element Number (pEN). pENは,純数は、pC5}

極の３様

C3座標系 (RCS：Relative Coordinate System) 位相を明示すると, (原始状態でPo=1), IDO

C4座標系 (RCS), IDO C4;

そして、さらにg()にStrを移行、組み込むとすると、（Strを位相に移行、組み込むと）
さらにWp, Npをｍとすると、
C3座標系 (RCS), IDO C4 (Po=1, n=0),

Phase value g₁(m) & g₁(m)
g₁(m) = (n+m) −n = +m
S₁ g₁(m) = (n+ S₁m) −n = −m
S₂ g₁(m) = (n+ S₂m) −n = +m
3.1.2 The C4 Relative Coordinate System, (n=0)

Phase value g₂(m) & g₂(m)
g₂(m) = n − (n−m) = +m
S₂ g₂(m) = n − (n− S₂m) = +m
S₁ g₂(m) = n − (n− S₁m) = −m
そして、
左辺

の真下は、StrZaiの値、上段の行は、Local Fieldの各値,下段の行は、Relative Field(Real Field)の各値、
C3座標系は、図８参照、C4座標系は、図９参照
省略表記では、
.

さらに, C3 is

,C4 is

.
同じ種類のStrZaiは、Local Fieldにて演算され、Global Viewにて違う種類のStrZaiが演算される
Local Field
_LStrZai のみ

Relative Field is Real Field (on RCS)
位相シフト(型)｛位相可変(型)｝Phase shift
_RStrZaiにおいて、

_LStrZaiにおいて、

位相固定(型) Phase locking
_RStrZaiにおいて、

_LStrZaiにおいて、

まとめるとAbbreviated, (位相可変と位相固定型) (phase shift and phase locking)

この２つの式は、Nの公式 (特に_RSTRの式). (演算子間にOriginがない場合)

NewOpeSp
Str, View と pEN

ここで, バンドリング(bundling)は

ゆえに,

ここで
在による加算(在対極生成, Rf)、乗算(束ねBundlingと分配Distribution, Lf)
1 Str在対¹ (C3

と C4

) (同時性の、加算と乗算 )
1.1同時性の、加算と乗算: (平行加算と平行乗算)
原極(Origin)を求めるなら(原極生成するならOrigin | generation), RFを使用する. K軸は、G軸からは、観察できない。
関数内の演算は、局所場(Lf)で行われる(G axis). そのG axisは我界です.

これは回転しない安定した実座標を提供する. (その原極 | 生成は、特殊な場合であり、特異点と呼ぶ. この特異点は、解析可能でありマクロにおき滑らかである。その特殊な場合とは、直交座標生成とRDEなどである。)

1.2実座標系(RCS)としての関数内演算,

1.3実座標系(RCS)としての関数内演算,

以上、それらは滑らかである。回転しない。(それらは自然現象と等価である。)
AO (absolute origin)は、絶対原極です。マクロを示すRCSは、滑らかで安定です。ここで、もしStr在からViewが無くなると(取り除くと)、不確定在(不確定性在)となります。それは回転します。そして４つの象限を生成します。それは粒子からの波動性を示します(意味します)。それを原始座標系primitive coordinate system (PCS)と定義します。それは、正に原点です。波動性と粒子性、そしてRCSの原点となります。原極は、おおきさをもたないが、原点は、大きさ１をもつ。Rfでの加算, Lfでの乗算は、同時性を持つ、それが座標系をつくりだしている
1.4 在の乗算multiplication by Zai (平行乗算),
1.4 1 Local View 局所視野

これは、滑らかであり、回転しない。＋１は、回転しない事を示す (回転できない)。
1.4.2 相対的視野Relative View （計算する場合があるのか？）

1.5 RCSにおける在の加算(Rf), 乗算(Lf), 同時性
座標系への寄与として除算{時間連続体など他の連続体からの在の分配(Distributing)},
減算{位相生成}(対比), (まれに除算対比がある)

閉極Closed Kyoku (内極Inner Kyoku)
内極は、閉極であり、両極(連続した閉極)に対して演算が可能である。一方、開極は、演算できない。観察者は、G軸にて、閉極としての在の演算は、
Str Zai (Lf, Rf) (m=Po) (G_v1=S₁=-, G_v2=S₂=+)
その位相は、 n and n-m

G ph は、Exの値が在が存在するG軸の位相を示す。
ゆえに, (Po=m),

位相が n+1 と n の場合

C3

C4

[ ]_Δ:閉極Closed Kyoku

2.1.4 その表記は、(基本的にRfは省略可能、基本的にLfは省略不可)

観察者がG 軸に存在(nにて存在)

観察者が他世界に存在する場合

観察者がG 軸に存在. (n-1に存在) (Closed Kyoku connection)

不確定性在UZai

不確定性在UZai 位相を明示すると

開極Open Kyoku

は演算不可
? and S_?の演算

S_? は smoothness. ? はsmoothnessではない。 Basic operation
Re-calculation of modern civilization by the new-operator which phase class makes
Definition and method
1 The ω1 operator is (pF: phase field symbol) 3-by-1 matrix

1.2 Ex Operand number 1st line
The value of the Ex operator (Ex is a number or function), all "numbers" that can be operated on.
1.3 Property values {2nd line (number of phases) and 3rd line (phase width or phase length)}
The second line (number of phases) and the third line (phase width or phase length) are numbers representing the properties of the operand (Ex). The property value that is.
1.3.1 Np (number of phases)
Number counted by Np phase.
The number of phases is the number of poles counted by the phase on the axis (mainly on a number straight line, and of course there can be a curve). It's the number of beings.
If Np = 0, the target does not exist.

| Np |> 0 is an existence. It is basically an integer, but it can be a real number below the primitive level and cannot be ignored even at the macro level.
Notation at the junior and senior high school level That is, the judgment item for whether or not it is easy for those skilled in the art. , You can see that it is nothing but the usual way of counting numbers. (How to count stakes at the elementary and junior high school level, etc.). At the same time, it can be read that the same applies to the phase width, which is the width of existence (operator means) from each individual. On the number line, the interval surrounded by two poles and the space-time are defined as one phase number. In three dimensions, the space surrounded by spheres with poles as envelopes has one phase. (Along with the above-mentioned counting of stakes, how to measure the length of a straight line, etc., is at the elementary and junior high school level.)
In other words, we can see that it is just a concrete means of understanding the lengths such as the most common numbers and widths {the following phase widths (phase lengths)} in the three-dimensional space in which we exist. ..
Description at the science high school level
Here, the number of phases is " a value (property value) used for classifying measured values by phase (phase classification), and is the number of objects on the same time axis or the same space axis in actual time and space. The level of description has been lowered to the level of the third grade of science high school.

1.3.1.1
The minus of Np in StrZai and MuZai on the G axis (mainly on a few straight lines, and of course on a curved line) is Rv1.
| Np |> 0, | | in this case is RAO. Relative absolute value operator
1.3.1.2
The minus at -? Of UZai on the K axis is a real minus.
| Np |> 0, | | in this case is AO. Absolute-value operator
1.3 ω property values Np and Wp

is,
The traditional absolute value operator (AO) is

Relative Absolute Value Operator (RAO) (See after-mentioned View operator)

1.3.2 Wp {Phase width (Phase length)}
Wp indicates the width (length) (with) according to the phase. Relative length and dimension is "length", but relative length is adopted. That is, a certain object is set to 1, and another length is indicated by a value such as Po. An object may or may not be a prototype. It can be something in front of you.
Necessity of Po (In other words, in terms of notation at the junior high and high school level)
From the above to the following, it can be seen that in many cases, variables (means) that give the difference are required for individual measurements in different objects. in short,
It means that there are absolute measurements and relative measurements. for example,
Measurements such as Kg and m (meters) can be said to be absolute measurements because the measured values themselves can be compared.
On the other hand, in the case of non-absolute measurement such as length measurement when a string of an arbitrary length is used as a scale, a conversion constant (, comparison) is required. It is easy to understand that this is necessary for phase measurement even at this stage. This is the Po method. (High school level)
This Po can be easily understood by looking at the formula of the variable name Po in the entire specification and drawings in general, and it does not correspond to the addition of new items. It is easy to understand that without Po, only one type of measurement or calculation can be performed. (Junior high school and high school level)

If the classification by the matrix of 3 rows and 1 column by the above is described as the phase classification, {If the operand value (Ex etc.) obtained from the natural world is classified by the property value (filtration),}

2 Phase classification 1 (Phase class: pC1); (View: relative, on K axis) Basically exists on the K axis.

Pole Kyoku |, (Ex is the value of the K axis orthogonal to the G axis) Indicates the boundary between existence and existence and the boundary between existence and space-time. Pole is also a primitive operator.
3 Phase classification 2 Phase class 2 (Phase class: pC2); (View: UZai has no View, StrZai: local and relative View) Basically exists on the G axis.

(Ex is a value parallel to G axis) represents the natural world.
Uncertainty in UZai Δ excluding View from MuZai goes to the K axis.

At present, it forms G-axis self-confidence. IDO reference
4 Phase classification 3 Phase class 3 (Phase class: pC3); (Fig. 1e, f) (View: relative) Basically exists on the K axis.

It is a polar set (body). However, it includes one polar body.
Uncertainty UZai is classified here (because it shifts from the G axis to the K axis by losing Str and View).

Ex is a value orthogonal to the G axis.
5 Phase classification 4 (Phase class: pC4); (Fig. 1g) (View: relative) Imaginary interval

Phase classification 4 is an imaginary section. It is an imaginary section. It is a vector or scale (an image of AR that overlays a scale such as a ruler on the real world). Its Ex is an imaginary parallel relation value on the G axis. There is no place. It's an empty scale. View can be used mathematically, but it is an imaginary view, and observations and operations such as bundling and distribution must be used separately in pC4 as well.
6 For non-pure number (pN) classification, phase classification 5
Numbers, functions, operators that do not have the property values Np or Wp.

Like 7 or more, the ω operator (matrix of 3 rows and 1 column) can be said to be a classification (filter means) means, and can also be called an operator (means) , and is an indicator showing the properties of numbers Ex. It can also be called (means).

8 Claim-like summary (in Japanese and corresponding to Article 36 at the math high school level)
A matrix means of at least 3 rows and 1 column, which is a classification (filter means) means for classifying (filtering) the operand value (expressed by the variable name Ex, etc.) that can perform all kinds of operations such as the measured value obtained by measuring the object to be measured. An arithmetic unit that includes at least ω operator means.
The matrix means
The first line is the calculated value holding means for holding the calculated value, and the second line is the value (property value) used for classifying the calculated value by phase (phase classification). The phase number holding means for holding the number of phases which is the number of time and objects (body) on the same time axis or the same space axis in the space and time of A phase width holding means that holds a phase width that is a value (property value) used to perform the above, and is the width (length) of a time or object (body) on the same time axis or the same space axis in the actual time and space. ,
(Here, in terms of the number of phases and the phase width, it is assumed that time exists up to one axis if it is one-dimensional, and space exists up to three axes if it is three-dimensional.)
It is a matrix means that is

Δ means (abbreviated as Δ) which is a means (phase classification 2) for identifying measured values having a number of phases other than zero in the matrix and having a phase width other than zero in the matrix.
Or / and in the above-mentioned existing operator, at least in the Str operation means that limits negative operations to relative operations, the left Str existing operation means provided with the left Str operation means that is the + side in the relative operation.

Means (abbreviated

)
Or / and in the above-mentioned existing operator, at least in the Str operation means that limits negative operations to relative operations, the right Str existing operation means provided with the right Str operation means that is the minus side (minus side) in the relative operation. be

Means (abbreviated

)
Or / and a polar (phase classification 1) means for identifying a measured value in which the number of phases is zero in the matrix and the phase width is zero in the matrix.
| Means (abbreviated |)

Primitive arithmetic means that performs arithmetic in any or a combination of
A computer (arithmetic unit) characterized by having and.

For more details,
1 View view {Observation (position) is important}
View operator (visual operator) (1)
1.1.1 Local view, local view, local view {local View (Lv) of local field}
This View (Lv) is + only.
Lv = + (2)
1.1.2 Global View, Global View (Gv) of Outer field
There are two types of View (Gv), + or −.
Gv ₁ =-(3-1)
Gv ₂ = + (3-2)
1.1.3 Relative View, Relative View, Relative View, Relative View (= Real View) (Rv)
The complex field (synthesis field) of Lv and Gv is Rv. Rv is a complex views. It could be {+ and −} or {+ and +}. (The inner parentheses represent {Lv and Gv}) View is calculated (calculated) according to the following arithmetic rules.
1.2 Str operator, Str (Stream and Strepto)
Str is calculated by multiplying by a pure number. to be born.

As an example

. (Five)
“H” is a hidden variable.
1.3 Constant Multiplication (CM)
In different kinds of existence with View, the " _* " operator is "・". But in the same kind of presence, they are different. _{The result of the “*} ” operator between the same StrZai is constant.
(Gv ₁ =-, Gv ₂ = +, Lv = +) (h is HI) (Gv: Global View, Lv: local View)

Gv is invariant in multiplication and division without the Kyoku Origin. (Does not change). And the same view (orientation) that the observer is seeing (observing) does not change. It is Bundling and Distributing. However, if the observer is located at the central primary pole of the pair, the observer can get two views and the outer pole.

therefore
Rv ₁ =-(8-1)
Rv ₂ = + (8-2)
S _? (Supplementary equation S1) _{in RV Str}

That is, the Str operation means (Str operator means) is (the same applies to the View operator).
There is no minus one apple, and there is no space of minus one m. Absolute numbers and operations such as do not exist in this world. So
Str operation means (Str operator means) is a means that limits negative operations to relative operations. It is easy to understand.
The Str arithmetic means (Str operator means) is such a thing, so it is only a very simple improvement, but
The effect is higher than any invention around us, and it has a great effect on a wide range of fields.
In the past, a negative space-time that could not actually exist (there is no minus 1 apple, no minus 1 m space) has been calculated, so of course, with conventional means, there is an error. , Singularity, malfunction. It was the existence of a very scary device, the intermittent and continuous malfunctions. Especially in dynamical systems, the appearance of unpredictable regions and singular points led to malfunctions because the property movements were obtained by limiting the regions and eliminating singular points.
The Str calculation method solves these problems.
And since the Str calculation means is a means that operates after realizing the current calculation means (or / and the pole calculation means), it is arranged in the current calculation means in claim 1.

2 pC2 existence, The pC2 existence, (Figs 1b-d, 4, and 5) Equation equation (2)
The elementalized presence of water-treated leukocytes (WTL) and aqueous solution-treated leukocytes (WSTL) (Fig. 3) is a closed internal field with poles. (Fig. 1 and 3) The pole is the inner pole. The inner pole constitutes the Z axis. (Fig. 5a)
Observations from the inner pole are observed as closed. Its closure is the local field Lf. The observation of the inside (If) is the opening. (Figs 1 and 3) (Supplementary Note S1)
2.1 Phase field (pF) (It distinguishes from topological space and physical phase space.)
(Empty) Potential Po separation, isolation, isolation, (Po is real potential)
When Po is τ ¹ (Fig. 3)

Here, the pure element number (pEN) as a pC5 pure number is

Suppose that
Local View (local View)

LvStr ( _Lv Str) is Left Str ( _L Str) and “ _* ” is constant multiplication Constant Multiplication (CM). (See 1.3)

Local View is + only and local Str is Left only. (Fig. 3b)
Separation of τ (isolation),

A pure number as the number of elements is a pure number that is an element of a natural object.
Lv is the local view, the local view. It is the direction seen from the observation at the opening inner pole (from the beginning of the inner pole). (Fig. 3b). Lv is + only.
g (p) is the phase measure function (PMF)
g ₁ (p) = (n + 1) -n = +1 (10-1)
g ₂ (p) = n-(n-1) = +1 (10-2)
Further expansion (basic m = 1) (n is the origin, m is the non-origin)
g ₁ (p) = (n + m) -n = + m (10-3)
g ₂ (p) = n-(nm) = + m (10-4)
In the following cases, | | is an absolute value
n = n · Str, (n is Origin)
m ・ Str = m ・ Str (n is non-Origin)
| Str | = Str, | S ₁ | = S ₁ , | S ₂ | = S ₂
The traditional absolute-value operator is

With the relative absolute value operator (RAO),

Str and g (m) are
S ₂ · g ₁ (m) = (n + S ₂ m) -n = + m (10-5)
S ₁・ g ₁ (m) = (n + S ₁ m) -n = -m (10-6)
S ₂ · g ₂ (m) = n-(nS ₂ m) = + m (10-7)
S ₁ · g ₂ (m) = n-(nS ₁ m) = -m (10-8)
The function g (p) is a phase measurement function that measures the phase of the number of elements. The function g () is an absolute dimensionless scale when one object is measured by phase.
2.2 _Lv StrZai (Fig. 3b)
Local field (Inner field)

Origin Origin is located at the boundary. Traditionally, the boundary origin cannot be used in macros. do not. (See Chapter 2.3 below, Bundling and Convergence Differentiation)

It shows the coordinates determined by the IDO {Inner Filed Draws (Defines) Outer field} (excluding the absolute original pole).
2.3 Global View
Suppose leukocytes are observed in phase n (Fig. 3b). At that time, the operation obtains the global view of C3. (C3 is condition 3.) The Global Views are Gv ₁ =-and Gv ₂ = +, respectively. And the two local fields form one pair of Zai Pairs. The fields form a relative field (real field). This action gives rise to the origin. At that time, the outer pole has the nature of the original pole. The observation gives the properties of the original pole to the inner pole in phase n. It's IOSF (Inner Kyoku-and-Outer Kyoku Synchronous field). It's Origin's decision.
An example of how to find the pole as the original pole, an example of IOSF

Rf is relative field. Phase value n is character of Origin.
2.4 Relative field RvStrZai (Figs 3c and 4)
Gv is operated to local field. It is relative field.
C3 (Figs 1c-1, 3c and 4) ¹ , m = 1

Distribution Distributing,

Distribution Distributing,

C4 (Figs 1d-1 and 4) (Supplementary Fig. S3) ¹ , m = 1

Distribution Distributing,

Distribution Distributing,

Therefore, for RvStr, refer to Eq. (8).

2.5 Coordinate system
As a result, coordinate system consists of the scale by IDO, and an Origin by IOSF.
The coordinate system is composed of the original pole Origin by IOSF and the scale by IDO.
2.6 Np and Wp
iN is the number of inner fields. {Number of elements of Np}, iW is the inner field width {width of Wp}, iN = 1, iW = 1.
2.6.1 Np

2.6.2 Wp

2.7 ω operator member ω operator member

View and Str should not be mixed with the variables of the function (do not calculate directly without mixing). This is an answer of millennium problem in Navier-Stokes's equation NSE ^1. Additions and subtractions are

3 in Zai
3.0 Uncertainty Zai (U.Zai) ² (Primitive operator)
U.Zai does not have a View. Existence without View exists (Figs 1b and 4).
If View is removed from this equation (16) or (15),

Here,

The {or} is the uncertainty operator. (Supplementary equation S1)
? = {-1 or +1} (33)
3.1 U.Zai (primitive operator)
pC2 of ω1_operator generated the Uncertainty Zai (U.Zai) as the simple element in OW ..

The n is a value of phase. An example is Fig. 1.
Conventionally, such uncertain values have not been adopted because they are unsuitable for measurement. The creation of this element element contributes to the unification of elementary particles to macros, the connection of coordinate systems, and the materialization of imaginary numbers. It will be the basis for the measurement of the natural world, which has been a mystery for hundreds of years. Then, the uncertain operator Δ becomes Str by the Str operator, and the extremum can be calculated. Prevents mixing with and leads to correct calculation.
3.2 StrZai (Secondary operators)
The ω1 operator pC2 produces StrZai as a continuum of our world. If U.Zai is given Str by the Str operator, then _R StrZai and _L StrZai are obtained. Right Str ( _R Str) is Str ₁ = S ₁ = -1. Left Str ( _L Str) is Str ₂ = S ₂ = +1, the template is

is. (Str does not change with differentiation, but its “?” Changes with differentiation.) (Figs 1, 3, 4, 5) (Supplementary equation S1) The differentiation here is the conventional convergence differentiation. is. Basically, when we talk about differentiation, we mean convergent differentiation, which is the conventional differentiation. Derivatives based on paired operations are relative derivatives.
3.3

Generally, m = 1. _p Po is the phase potential in the phase field ( _p Po = m) pPo: phase Potential.
3.4 3.4

3.5 Str template S _? (Macro uncertainty present)
S _? Zai is Macro Uncertainty Zai (MuZai) (Template Str Zai is TSZai) (Fig. 3) ¹

From g ₁ (p) = (n + m) -n = + m (10-1)
From g ₂ (p) = n-(nm) = + m (10-2)
(S _{? Does} not change with differentiation, but “?” Changes with differentiation.) (Supplementary equation S1)
3.6 Notation of real mathematics
Rf and Lf are field notations. Rf and Lf are field notations.
3.6.1 StrZais (Rf is optional)

3.6.2 Relative View Relative view

3.7 Notation of imaginary mathematics (Vector) is, (pC4)

4 pC1 existence of zero pC1 existence of zero pole (Fig. 1a) Equation (1)
Existence of pC1 zero, relative differential equations, in real coordinate system,
If Np or Wp is calculated to zero, it gets a pole. It's exactly the derivative. RDE does not use infinitesimal real numbers. It makes a coalition feasible.
4.1 Conservative field of single Zai

Pole and uncertainty

UZai and Kyoku are on the same K axis. Therefore, they are pC3.
4.2 C3 Str vs. C3 StrZai Pair ¹ (relative field relative field, addition addition)

4.2.1 Two WSTL Two WSTL (Figs 3c and 4) ¹

The state is

{g (p) = m independent variable m}
4.3 C4 Str vs. C4 StrZai Pair (Fig. 4) ¹

4.4 U.Zai Pair ¹

4.5 pole Kyoku
The ω1_ operator pC1 produces a pole. Foundation is; (K is K axis. Z is Z axis.) {1 is the pure element number (pEN). PEN is the pure number (pC5).}

3 states

4.6 Relative differentiation
Relative differentiation obtains poles by pairing.
4.7 Traditional differentiations
Traditional differentiation is a bundle of StrZai. Therefore, an infinitesimal (real) number indicates one StrZai. One StrZai is connected to one outer pole at one inner pole.
5 Relative coordinates
Origin is IOSF, IDO, and is also the scale of the coordinate system.
6 pC3 (Fig.1e, f) Equation (3)
As mentioned above, the outer pole linked to the inner pole becomes a reality (Fig.1e). The outer pole separated from the inner pole becomes unknown (Fig. 1f). Therefore, pC3 is currently hidden information. (Fig. 3).
7 pC4 (Fig. 1g) Equation (4)
In the human senses, including the naked eye, pC4 does not exist in macros.
8 IDO and element-relative coordinate system (eRCS) in OW in NW
Example of eRCS by phase in C3 and C4 (If Po is t, the original pole is t = 0 in space-time)
8.1.1 C3 coordinate system (detailed display of phase) Local field and relative field are expressed by rows of 2 rows and n columns.
C3 coordinate system (RCS) phase detail phase in detail, Po = 1 in primitive state
IDO C3;

phase value g ₁ (p) & g ₁ (p) are the above phase values.
g ₁ (p) = (n + 1) -n = +1 from (10-1)
8.1.2 C4 coordinate system {The C4 coordinate system (RCS)}
IDO C4 ¹

Phase value g ₂ (p) & g ₂ (p) are the above phase values
g ₂ (p) = n-(n-1) = +1 from (10-2)
(Left side of the above formula:

The numbers listed below are the StrZai values for each field. Both sides are phase values. The first row (1st to 6th columns, but the central 2 columns are the original poles, and the actual situation is the central 1 column for a total of 5 columns) is the phase of the local field. The second line is the relative field. And the two lines show the phase of the complex field by the inner field and the outer field.
Right side of expression: Notation by field function)
If abbreviated,
C3 is ^R ( ^L

) ^R ( ^L)

), C4 is ^R ( ^L

) ^R ( ^L)

).
If omitted further,
C3 is

, C4 is

..
Will be.
The same StrZai is calculated in the local field (absolute calculation), and finally a different StrZai is calculated in the whole view. It is a relative operation. This is because absolute operations are performed in the local field, and relative operations are performed in the relative field. In other words, there is neither a minus one apple nor a minus 1m space in this world, so the existence of such a minus is prohibited in the absolute operation, and the minus is used only in the relative operation. That is, minus (subtraction) is allowed only for operations between different Str. If you eat two of five apples, you get three (5-2 = 3).
8.2.1 Wp = m, Np = m, and Str is included in g ().
C3 Relative Coordinate System (RCS), IDO C4 (Po = 1, n = 0),

Phase value g ₁ (m) & g ₁ (m)
g ₁ (m) = (n + m) −n = + m
S ₁ g ₁ (m) = (n + S ₁ m) −n = + S ₁ m = −m
S ₂ g ₁ (m) = (n + S ₂ m) −n = + S ₂ m = + m
8.2.2 C4 relative coordinate system, (n = 0)

Phase value g ₂ (m) & g ₂ (m)
g ₂ (m) = n − (n − m) = + m
S ₂ g ₂ (m) = n − (n − S ₂ m) = + S ₂ m = + m
S ₁ g ₂ (m) = n − (n − S ₁ m) = + S ₁ m = −m
8.3 Smooth-quality The same StrZai is bundled. Different StrZai will be calculated. The definition of bundling by N's formula is described below as (m = Po). Where Po is the real potential. pPo is the phase potential. pPo and pPo can be Po = pPo or Po ≠ pPo. If Po ≠ pPo, it is the potential in your mind.
8.3.1 Local field Local field
_L StrZai only

8.3.2 Relative field is real field
8.3.2.1 Phase shift Phase shift
_R StrZai

_L StrZai

8.3.2.2 Phase locking
_R StrZai

_L StrZai

8.3.3 Simplified Abbreviated, (Phase shift and phase locking)

These two formulas are defined as N's formulas (especially _R Str). (This operation does not include the original Kyoku Origin in the middle of the operation) ^{1 In} addition,

(Constant in all coordinate systems)
This is defined as smooth-quality. ( _R Str is especially important).
8.4 Smooth-quality and generation of Kyoku (Origin) (Orthogonal axis),
8.4.1 Str
Str Zai Pair (C3)

And C4

) {Simultaneity of addition (Rf) and multiplication (Lf)}
If the original pole is generated, the operation is done in the relative field (Rf). The K axis appears orthogonal to the G axis. (Macro) Function operations are performed in the local field (Lf) (G axis is our world).

It does not rotate. Smooth and stable real coordinate system (RCS), (Primary pole | Occurrence is a special case, it is orthogonal axis generation, and RDE etc.)

8.4.2 Functional operation, as real coordinate system (RCS),

8.4.3 Functional operation, as real coordinate system (RCS),

They are smooth. Does not rotate. (Equivalent to a natural phenomenon), the n is AO.
In macro, RCS is smooth and stable. Addition by relative field (Rf has relative vision) and multiplication in local field and pole connection occur at the same time. That is the macro's real coordinate system.
8.4.4 PCS (primitive coordinate system)
If View is removed from StrZai, it becomes UZai. UZai rotates by multiplication. It produces four quadrants. It produces wave nature from the particles. It is defined as the primitive coordinate system.
Continuous addition and continuous multiplication,
If the existence time is as short as the Et relationship of the uncertainty principle,

Therefore, if the conservation field collapses even a little, macro (RCS) will occur.

Here, if the existence time is long,

8.4.5 Multiplication by Zai (parallel multiplication),
8.4.5.1 Local View Local view

It is smoothness. No rotation, by +1 is not able to rotate. It is not able to rotate by +1.
8.4.5.2 Relative View Relative View, Relative View,

8.6 Basically, after StrZai's bundling, other operations are performed.
8.7 Uniformly continuous
8.7.1 Uniformly "Uniformly" is equivalent to being.
8.7.2 Continuous “Continuous” seems to be synchronized with each other's internal poles that are connected to each other. Furthermore, if their existence is equal to each other, it is "uniformly continuous".
9 The present and the pole can be elements of the natural world. Therefore, WSTL and WTL, which are the realizations of it, are real element elements if they are simple substances, and they are arithmetic circuits if they are conjugates, aggregates, and continuums. Also, the poles and presences (such as virtual machines) programmed in OOC can be elements of nature.
They can form computers such as SOC, OOC, gOOC.
10 The biggest problem of physics is using the minus of coordinate system in function, especially in Descartes's coordinate system. It is a problem caused by ( minus existence problem ).
In order to solve this negative existence problem , the StrZai operator is characterized by having a View operator for separating the view of the coordinate system and the sign operation in the function. Since UZai does not have a View, there is no negative existence problem , and since PCS and (macro) RCS can be generated, the negative existence problem can be solved.

Basic operation
Re-calculation of modern civilization by the new-operator which phase class makes
Explain the operation of arithmetic means by mathematics Please also refer to Fig. 1 to Fig. 21 in a timely manner.
0 ω operator (ω_Operator) (ω and ω1 are the same. Ω_Operator and ω1_Operator are the same operators)
In any pure number Ex, the primitive operator Op (here Δ, pole |) (basic type) is

0.1 ω: The information (symbol) in this part is
0.1.1 ω lattice (ω matrix) information of which ω lattice such as ω (ω1), ω2, ω3, ω4, etc. If ω, the above operator (optional), ω3 indicates ternary Ex (omitted) Not possible), ω lattice is a literature application 2013-189894, 2015-35196, 2015-200651, 2015-201199, 2015-201200, 2015-201201, 2015-201206, 2015-076389, 2015-076390, 2015-076391, 2015 See -076392, 2015-078097, 2016-124020, 2017-247113, 2017-163799, 2018-123768, etc.
0.1.2 Field information Field information such as field name
Lf: Local field, {Gf: Global field}
Rf: Relative field = Real field
0.1.3 Status information of ωd (switch)
ON OFF described later
0.2 P or ΔP ,: The information (symbol) in this part is
Indicates the phase and phase field. See below, phase is a contrast of homogeneous numbers. Homogeneity is a comparison of numbers that show the same physical quantity or numbers that can be compared, such as numbers classified by Np, Wp, etc., which will be described later. Contrast is subtraction or division, and possibly addition. Rarely multiplication.
Indicates the phase and phase field such as presence and pole. Here, basically,
n is the original pole. "N" is the origin.
Origin of LF is both AO and RO. (In other words, the AO and RO of the Local Field are the same.)
The phase "n" where the right Str and the left Str meet or separate is "AO".
The junction pole of the dissimilar Str is AO.
The junction pole of the same type Str is RO.
1 The current calculation means is

There is no View in the uncertainty. There is no observer. There is no observing act. There is it in Str.
Two-pole calculation means

3 Str operator is
S ₁ = −1, S ₂ = + 1, Template S _? = {−1 or +1}.
Here, the ω1 operator (ω1_Operator) can turn ωd (switch) ON and OFF as follows.

If ωd (switch) is ON, ω1_Operator can distinguish between phase width width and phase number number.

If ωd (switch) is OFF, the ω1 operator (ω1_Operator) has a commutative law. Pole or uncertainty is the Primitive Operator, and Str is the Secondary Operator.
Here, Po is an empty potential and indicates the relative ratio of the existences here. (In other words, the basis (element) of this world (my world) is not an infinitesimal real number but a pure number (integer) of 1.
By multiplying it by the empty Po, it represents various existences. )
4 Applications of arithmetic means Examples of circuit means
Any complex computer with any app is realized by AND, OR, NOT means (SN7400, etc.). (Actually, the actual circuit elements are NAND, and NOR.) Theoretically, AND, Mathematically showing what kind of calculation is realized by the OR and NOT calculation means, it is a clearer means of disclosing patents than any description. Furthermore, if the poles and existence are mathematically shown and shown as various parts (processed with materials existing in nature) such as aqueous solution-treated leukocytes and elementary particles that realize them, what kind of description is it? A clearer patent.
Applications of Computational Means Examples of circuit means disclose the presence, pole, (Str) that replaces the conventional AND, OR, NOT arithmetic means by the above-mentioned form, and by the AND, OR, NOT arithmetic means. It is to show the means that can be established in the same way as before.
However, in the order of disclosure, the mathematics of the circuit and the examples will be described in the format of the Japan Patent Office described above.
1 ω1_Operator, (pF: phase field phase field)

Ω1_Operator, an operator that classifies the natural world
Ex is the value of a certain "thing".
Np is a number counted by phase. A specific example is the number of poles counted by phase.
Wp is the width by phase and the width (length) by phase of poles.
The observer is basically on the G axis.
See Fig. 1 for the following phase classifications.
2 Phase classification 1: Phase class 1 (pC1) (View: relative)

Therefore, it shows our (outer) space. The space is zero space. Because the (phase) number Np is zero, empty, and the (phase) width Wp is also zero, empty. Therefore, it shows our (outer) space. The (output) value of the relative differential equation at the absolute original pole. That is, it is the background value of the space in the absence. It is also a value obtained by relative differentiation of the black hole, white hole, and center of the universe in the conservation field from the two worlds.
3 Phase classification 2: Phase class 2 (pC2) (View: UZai: relative and StrZai: Local)

3.1 Pole and presence

4 Phase classification 3: Phase class 3 (pC3) (View: relative)

The (output) value of a relative differential equation other than the absolute primary pole, at least for an entity with an internal pole iK in the denominator, when the observer is in the absolute primary pole. It can also be considered as an existing orthogonal transformation. From our world, it is a pole with a (phase) width of zero, but since there is a continuum in the orthogonal world, the number of the continuum may be the (phase) number (Np). Since there is a continuum, there is uncertainty (which can be derived from the uncertainty theory), and conversely, because of the uncertainty theory, time is a continuum.
Existence is inanimate without iK, and with iK is a living thing.
pC3 Np> 1 vitality, and pC3 Np = 1 is telogen life or inanimate organisms such as eggs and coccoid form bacteria.
The γ upper limit of the solution in the relative differential equations C1 and C2 indicates the upper limit of life (SLL value γ = 2 when the other term is zero). If tissue destruction makes this value negative, it becomes an irreparable injury, and conversely, even if the upper limit of life is exceeded, the cells lose continuity and become shed and self-sustaining. It means canceration (excessive life). The Np of the cancer is Np → 1 (1 which is infinitesimally close to 1, and only the infinitesimal real number is far from 1).
Polar and polar set

If Np> 0 of pC3, pC3 → pC1 (decrease in entropy, enjoyment of life), life is pC3Np> 0
If Np <0 of pC3, pC3 ← pC1 (increased entropy, normal substance), non-life, pC3Np <0
If Np = 0, it is a normal space, that is, pC1 pole. The pole is the bridge of entropy.
Therefore, life is a polar set containing a single pole.
5 Phase classification 4: Phase class 4 (pC4) (View: relative)

6 Pure Number (pN)
The net number is class5 (pC5), and the net number does not have Np and Wp.
pure Element Number (pEN) is the pure number pC5

By the way, each operation means of AND, OR, NOT is classified into pC2.
7 Location and pole operator and morpheme, labeling character Here, it can be seen that presence and pole are also the ultimate Chinese characters (morphemes). On the other hand, pure numbers can be said to be an evolution of labeling characters. Po etc. are easy to understand as an evolution of labeling characters. And the empty potential Po can be derived to pC2 etc. by the distribution of existence and poles (Distributing). It can also be returned to a pure number by bundling. In order to improve the accuracy of operations, it is often better to use operators and numbers (poles and pure numbers) other than the standard field. In many cases, it is easier to calculate the number and operators of pC2 such as existing operators if they are used as few as possible.
It is clear when the current operator and polar operator are specified, but in the case of Chinese character display such as Δ and |, spatiotemporal information is shown, but labeling character display (t, τ, N, etc.) ), The space-time must be specified by the phase etc. ( _n N _{n + 1} ) etc. Therefore, either specify the phase or display italics in pC2 (N, etc.) and others in standard characters (extreme pC1 such as N, pure numbers, etc.). Therefore, Po and the like are often either italic or standard, and these displays are confusing and confusing. Therefore, operator display such as Δ and | is desirable. The operator is basically triangular Δ, but you may use an operator that is more in line with the phenomenon by using round ○, square □ (square to polygonal), and so on.
As mentioned above, this is exactly the ultimate Chinese character.
Correspondingly, labeling characters such as Po (in Japanese, equivalent to hiragana and katakana) are used in combination. Furthermore, the labeling characters are valid for the explanation. In this sense, you can see how Japanese forms the basis of real mathematics. Therefore, it is best to write real mathematics sentences in Japanese. (Although I have been using Japanese since I was a child, the scientific superiority can be seen from here. There is a limit to the phase display and italic display using only labeling characters such as the alphabet.)
7 Explanation of the operation of various arithmetic means by mathematics See Fig. 3, Fig. 4, Fig. 5 and Fig. 6.
Local View

Lv Str ( _Lv Str) is Left Str ( _L Str) “ _* ” is Constant Multiplication (CM)

Local View is + only. Local Str is Left only (If: Inner Field, Lf: Local Field)

Separation of τ

Corresponds to white blood cells alone
g (p) is the phase measure function
g ₁ (p) = (n + 1) −n = +1 (10-1)
g ₂ (p) = n − (n−1) = +1 (10-2)
If you rewrite p as usual with m,
g ₁ (m) = (n + m) −n = + m (10-3)
g ₂ (m) = n − (n − m) = + m (10-4)
If Str is added (since n is origin, Str does not work, but it disappears in the equation)
S ₂ · g ₁ (m) = (n + S ₂ m) −n = + m (10-5)
S ₁・ g ₁ (m) = (n + S ₁ m) −n = −m (10-6)
S ₂ · g ₂ (m) = n − (n − S ₂ m) = + m (10-7)
S ₁ · g ₂ (m) = n − (n − S ₁ m) = −m (10-8)
If m = 1, then
g ₁ (1) = (n + 1) −n = +1 (10-9)
g ₂ (1) = n − (n−1) = +1 (10-10)
_Lv StrZai
Local Field (Inner Field)

Then (Rf: relative field)

C3

C4

Furthermore, if the phase is expressed in units of m (further, the notation in which Str is distributed to the phase is added).
The Str notation of the phase is a notation that CMs the view of the entire area in the local field, so it can be said to be the local field notation {Gv _* LF ( _* pEN)}. The notation using only variables such as n and m may be called Rf notation (n + m, n−m). {Str cannot be CM to n, which is the original pole. Also, n disappears in g (). }

The Str notation of the phase is a notation that CMs the view of the entire area in the local field, so it can be said to be the local field notation {Gv _* LF ( _* pEN)}. The notation using only variables such as n and m may be called Rf notation (n + m, n−m). {Str cannot be CM to n, which is the original pole. Also, n disappears in g (). }
The current phase notation may be Gv _* LF ( _* pEN) notation or RF notation n + m, n−m.
n−m = n + S ₁ m, n + m = n−S ₁ m, n + m = n + S ₂ m, n−m = n + S ₁ m, and so on.
The left side is RF notation, and the right side is (RF) notation by LF and Gv.

Whole area local field notation GvLF notation (GvLf notation): n + S ₁ m, n + S ₂ m, n−S ₂ m, n−S ₁ m
GvLf notation, Global View Local Field notation,

Relative field variable notation Rf variable notation (RF variable notation)}: n−m, n + m
Rf variable notation, Relative Field Variable notation

C3

,

C4

C3 and C4 on the left shoulder in parentheses indicate the C3 field (space, coordinates) and the C4 field (space, coordinates), respectively. The arrangement (orientation) relationship of Str is shown with respect to the phase value n indicating the origin.
Np (18) g (1) may be g (m). m is any positive integer

Wp (19) g (1) may be g (m). m is any positive integer

Wp = λ ・ Np = Np ・ λ, iW = λ ・ iN = λ ・ iN iN: The phase number ratio (number of in-element fields) is 1 in principle. iW: Phase_Phase width coefficient (element infield width) (here, 1). iN is inner field Number. {Number of element in Np}, iW is inner field Width. {Width of element in Wp (Phase width element width)}
When considered from ZaiFT, it is the conversion coefficient between K-axis frequency (space) and G-axis time (space).
For Np and Wp such as above and below, see Fig. 2. Furthermore, if g () has an internal pole (if it is closed),

Will be. If g () does not have an internal pole

ω Operator member

View should not be mixed with functions. Since View is an observation act, it is not in the quantum field.

Local View (Lv) of Local Field
The View (Lv) is + only
Lv = + (22)
Outer Field Global View (Gv)
Gv is + or −.
Gv ₁ = − (23-1)
Gv ₂ = + (23-2)
Relative View (= Real View) (Rv)
A composite view of Lv and Gv is a Relative View. The respective views of Lv and Gv are {+ and −} or {+ and +}.
Str (Stream and Strepto)

. (twenty five)
“H” is hidden information {Hidden Information (HI)}
Constant Multiplication (CM)
(Gv ₁ = −, Gv ₂ = +, Lv = +) (h is HI) (Gv: Global View, Lv: Local View)

therefore
Rv ₁ = − (28-1)
Rv ₂ = + (28-2)
And S _? In _RV Str Figure 17

_R Str = S ₁ = −
_L Str = S ₂ = +
_R Str is right Str. _L Str is left Str. Right Str Zai

. Left StrZai

..
Zai
Uncertainty Zai (UZai)
UZai does not have a View, so if you remove the View from Equations 11, 12, 15, 16, (there is no observer, observer).

Here, the details of the part except View can be explained by either method.

g ₁ (m) = (n + m) −n = + m (10-3)
g ₂ (m) = n − (n − m) = + m (10-4)

S ₂・ g ₁ (m) = (n + S ₂ m) −n = + m (10-5) C3
S ₁・ g ₁ (m) = (n + S ₁ m) −n = −m (10-6) C3
S ₂ · g ₂ (m) = n − (n − S ₂ m) = + m (10-7) C4
S ₁ · g ₂ (m) = n − (n − S ₁ m) = −m (10-8) C4

{or} is the uncertainty operator Uncertain Operator.? = {−1 or +1}
? = {−1 or +1} (33)
UZai (Uncertainty is one of the primitive operators.)
ω1_Operator indicates Uncertainty Zai (UZai). (PC2) (one of the elements of OW)

n is the phase value. (Both internal polar topologies are either n & n + ?, or n & n−?)

( _p Po = m) p Po is phase Potential. FIG. 17
m is basically m = 1

Basically m = 1. In the independent variable, m is g (p)

FIG. 17

Str template S _?
S _? Zai is Macro Uncertainty Zai (MuZai) (Template Str Zai is abbreviated as TS Zai) Figure 17

(S _? Is a template of Str and does not change with differentiation, but “?” Changes with differentiation)
(Str is one of the secondary operators. The secondary operator can be derived from the primitive operator.)
(There is no View in the Uncertainty Principle. There is no observer. There is no observing act. In the Str presence, there is it.)
How to write Real Mathematics
Rf and Lf are field notations
StrZais

Relative Views

Image Mathematics notation {Vector} (it is pC4)

Single Zai as a storage field

Kyoku and Zai

The outer pole and the inner pole are on the same plane, and parallel addition and orthogonal addition are possible.
C3 StrZai Pair

(43)
Two white blood cells leukocytes

State Condition is

{g (p) = m m as an independent variable}
C4 StrZai Pair

| .Ex is the polar value.

Uncertainty Zai Pair

Kyoku
ω1_Operator produces poles of phase classification 1 (pC1) (K is K-axis, Z is Z-axis) {1 is pure Element Number (pEN). PEN is pure number pC5}

3 poles

C3 Coordinate System (RCS: Relative Coordinate System) When the phase is specified, (Po = 1 in the primitive state), IDO

C4 Coordinate System (RCS), IDO C4;

And if Str is transferred and incorporated into g () (when Str is transferred and incorporated into phase)
Furthermore, if Wp and Np are m,
C3 coordinate system (RCS), IDO C4 (Po = 1, n = 0),

Phase value g ₁ (m) & g ₁ (m)
g ₁ (m) = (n + m) −n = + m
S ₁ g ₁ (m) = (n + S ₁ m) −n = −m
S ₂ g ₁ (m) = (n + S ₂ m) −n = + m
3.1.2 The C4 Relative Coordinate System, (n = 0)

Phase value g ₂ (m) & g ₂ (m)
g ₂ (m) = n − (n − m) = + m
S ₂ g ₂ (m) = n − (n − S ₂ m) = + m
S ₁ g ₂ (m) = n − (n − S ₁ m) = −m
and,
Left side

Below is the value of StrZai, the upper row is each value of Local Field, the lower row is each value of Relative Field (Real Field),
See Fig. 8 for the C3 coordinate system, and see Fig. 9 for the C4 coordinate system.
..

In addition, C3 is

, C4 is

..
The same type of StrZai is calculated in the Local Field, and a different type of StrZai is calculated in the Global View.
Local Field
_L StrZai only

Relative Field is Real Field (on RCS)
Phase shift (type) {variable phase (type)} Phase shift
_{In R} StrZai

_{In L} StrZai

Phase locking (type)
_{In R} StrZai

_{In L} StrZai

In summary, Abbreviated, (phase shift and phase locking)

These two expressions are N formulas (especially _R STR expressions). (If there is no Origin between operators).

NewOpeSp
Str, View and pEN

Where the bundling is

therefore,

Here, addition by presence (counter electrode generation, Rf), multiplication (bundle Bundling and distribution Distribution, Lf)
1 Str vs. ¹ (C3

And C4

) (Simultaneous addition and multiplication)
1.1 Simultaneous addition and multiplication: (parallel addition and parallel multiplication)
If you want to find the origin (Origin | generation), use RF. The K-axis cannot be observed from the G-axis.
The operations in the function are performed in the local field (Lf) (G axis). The G axis is our world.

It provides stable real coordinates that do not rotate. (its original pole | generation is a special case and is called a singularity. This singularity is parseable and smooth in the macro. That special case. Cases include Cartesian coordinate generation and RDE.)

1.2 In-function operations as a real coordinate system (RCS),

1.3 In-function operations as a real coordinate system (RCS),

As mentioned above, they are smooth. Does not rotate. (They are equivalent to natural phenomena.)
AO (absolute origin) is the absolute origin. RCS, which shows macros, is smooth and stable. Here, if View disappears (removes) from Str, it becomes uncertain (uncertain). It rotates. And it creates four quadrants. It shows (means) the wave nature of the particles. We define it as the primitive coordinate system (PCS). That is exactly the origin. It is the origin of wave nature, particle nature, and RCS. The original pole does not have a large size, but the origin has a size of 1. Addition at Rf and multiplication at Lf have simultaneity, which creates the coordinate system.
1.4 Multiplication by Zai,
1.4 1 Local View Local field of view

It is smooth and does not rotate. +1 indicates that it does not rotate (it cannot rotate).
1.4.2 Relative View (Is it possible to calculate?)

1.5 Addition of presence (Rf), multiplication (Lf) in RCS, division as a contribution to the simultaneity coordinate system {Distributing of presence from other continuums such as time continuum},
Subtraction {topological generation} (contrast), (rarely there is division contrast)

Closed Kyoku (Inner Kyoku)
The inner pole is a closed pole, and operations can be performed on both poles (continuous closed poles). On the other hand, the open pole cannot be calculated. The observer can calculate the existence as a closed pole on the G axis.
Str Zai (Lf, Rf) (m = Po) (G _v1 = S ₁ =-, G _v2 = S ₂ = +)
Its phase is n and nm

G ph indicates the phase of the G axis where the value of Ex exists.
Therefore, (Po = m),

When the phases are n + 1 and n

C3

C4

[] _Δ : Closed Kyoku

2.1.4 The notation is (basically Rf can be omitted, basically Lf cannot be omitted)

Observer exists on G-axis (exists at n)

When the observer exists in another world

Observer exists on G-axis. (Exists on n-1) (Closed Kyoku connection)

Uncertainty in UZai

Uncertainty UZai When the phase is specified

Open Kyoku

Cannot be calculated
? and S _? Arithmetic

S _? is smoothness.? Is not smoothness.

バンドリングBundling
(同種の)在連続体は、Nの公式(Nフォーミュラ,N's formula)によりひとつに束ねられる.
位相可変型 (位相シフト型)
_RStrZaiでは

_LStrZaiでは

位相固定型

xは任意の正の整数
_RStrZai

(単体または連続体) Nの公式N's formulaは、

位相可変と位相固定をまとめると(phase shift type and phase locking type)

他の関係も併記し整理すると
Relative Fieldにおいて、
_RStr (S₁) 側

_LStr (S₂) 側

C3

C4

{_RStr (S₁)}側または、

{ _LStr (S₂)}側のみをLocal Field (局所場)とする。局所場は、在内場値(局所独立変数)が、＋の値を持つ場である。局所場のViewもまた、＋のみである。
そして２つ以上の局所場が結合(合成)される時に、個々のViewが相対的に変化する。値づけされる。Viewとは、観測者の観察方向である。ゆえに、Viewは、関数に混合すべきでなく、両者は区別されるべきである。
これら2つから成る結合場をRelative Fieldとする。この場合はC3 Relative Field となり、この相対場はC3座標系を成す。(示す。) (Fig. 3) 本論における運動単体の場合、_RStr (S₁) 側は、−側(View is minas - )であり、_LStr (S₂)側は、＋側(View is plus + )である。
(これらの事は、白血球と微生物の抗原抗体反応における合成場において、さらに容易に理解される。この場合の結合場は、C4である。）
そして私は、Str演算子を従来の微分に応用(適用)した。そして前述の問題を解決した。具体的には、独立変数軸を単独のStrZai (またはStrZai連続体)により形成した。
実際の使用におき、もし実数への対応やもの同士の区別が必要な場合、在にPoを乗じて使用すれば良い。(その目的が達成される) 一例では、Poをtとするなどである。(tは、この場合、時をあらわす)
[補足説明]
View、Np,Wp in 我界 （＋と−と場）
1 Local Field と Relative Field
まずは直交座標系において、Originに観測者が存在するとし、その観測者の右側と左側の独立変数軸をそれぞれ、S₁側とS₂側の局所場Local Fieldとする。
それぞれのLocal Field内では、独立変数は＋のみであり、第１象限と同等な場である。
両Fieldへの、観測行為や比較(加減による比較、乗除による比較も含む)を成す場合など、
即ち、
その２つのField同士の演算が必要な場合、Viewという符号演算を必要とし、その相対的な場を相対場Relative Fieldとする。
2相対的な比較
加減算による比較
乗除算による比較
3 Np Wp
どんなに分割しても(ちぎっても)、我界においては、一個の存在である。存在は一個である。
ゆえに、最小単位は、１(個) (Np=1)である。
（我界では、Npの最小単位は１である。Viewを考慮すると−１と＋１である。量子レベルにおけるNpの値は、？={-1 or +1}である）
Wpは、
Wp=λ・Np＝Np・λ
[Npの補足説明]
Npの最小単位は、１である。Npは、１が(基本)要素である。存在の基本は、１個だからである。少なくとも、我々の認識において、物体の最小単位は、１個である。
０．５個は、存在しないのである。 １個を２つに分けても、個々には、１個である。
一個を幾つに分けても、個々は、１個である。１個を２つに分けても０．５個でなく、それぞれ１個である。(Np値においても観察者が存在すると、Viewが付与される)

[運動方程式への応用]
ここで、前記Str在を運動方程式(とそれを表記する座標系)に適用してみる。
Gvの_RStrは、

ニュートンの運動方程式においては （図７参照）

(a: 加速度, m:質量, y:距離, t:時)

ここで、
相対性理論で拡張された運動方程式においても同様な現象があり、ニュートンの運動方程式は、相対性運動方程式の要素例となる。
加速度と速度が直交関係の場合。

加速度と速度が平行の場合

この場合,

ここで、
その他の(拡張された)運動方程式をあげると、
他の(拡張された)運動方程式も、同様な矛盾をもつ。

その一例は、以下のごとくナビエストークス方程式である。

(a: acceleration, x, y, z : positions on the coordinate, u, v, w : velocity on x, y, z, F : external force, p pressure, ρ density, νcoefficient of kinematic viscosity)
ここで先の関係式を確認しておく。

| =

+

=0 , | =

+

= 0 印刷用
さらに相対的に(相対加減算)

そして
要素例であるニュートンの運動方程式は、Str在を加味すると、

であり、その要素例であるニュートンの運動方程式の解は、（n とm は任意の整数)

単在の場合は、ωｄスイッチは、ONとなる。その他は、基本的にOFF、以下の時間が在連続体である場合は、ωｄスイッチは、OFFが基本である。

Po=t. この場合、観察者は一人で、局所場(Local Field)は右または左のうちの一つ。k は正の整数 positive integer. さらに詳細に、

上記を微分すると

略すると
_RStr 側は

_LStr 側は

ゆえに、全領域においては、以下のごとくであり、

ゆえに

ここで

なので、

となる。特異点の問題と、初期値の問題、積分定数の問題が解消されている。
ここでyは、C3座標系を含んでいる。この結果を従来のソフトに組み込めば、正しい結果を得られる新しいソフトができる。C3座標系手段の作成は、従来の作成手段を利用する。
ゆえに、従来の解は、

実数学において、
S₁ 側は負の側,

微分すると

S₂ 側は正の側

微分すると

図で示すと
図7 aは従来の運動方程式“inconsistency line”
図７b ニュートンの運動方程式をStrZaiによる表記とする縦軸はｙ,横軸はStrZai (C3 coordinate system )
曲線部分

直線部分

定数部分、積分定数部分と原極部分

時(間)状態

図７cは、C3 (Condition 3) coordinate system by StrZai on G axis. Orthogonal axis is K axis. Single Zai (Np=S₁1, Wp= S₁3) (Np=S₂1=2, Wp= S₂3=3) and Zai continuum (Np=S₁3, Wp=S₁3) (Np=S₂3=3, Wp=S₂3=3).

ここで、
従来の極限式

極限式により関数"

"を微分すれば、

分母は、バンドリング(Bundling)を伴い

ゆえに （以下の式から上式へは、分配Distributingと定義する。）

_LStr (S₂) 側は、

収束微分は、座標系の片側のみの使用である事がわかる 在は、ここではhやxで表現されている空Poにより無限小実数も表現できる。
単在は、無限小実数や実数を表現できます。在Poは、実数を表現できます。ここで在は、無限小より現実的なものであり、実在の要素(数)です。（言い換えると、この世界（我界）の基本（要素）は、無限小実数ではなく、純数（整数）の１なのである。それに空Poを乗じて、様々な存在をあらわすのである。）
ゆえに、在連続体から単在へのバンドリングから、極限化(lim)を継承派生できます。
さらに

がS₁ 側で微分されると,

ここで、極で運動方程式の解を示すと

微分方程式から示すと

微分すると

S₂ 側は正の側

微分すると

expの微分

極によれば、

新旧座標系の比較 （さらに図８も参照）

以上印刷上のため明示する。
ここで、

分母は (バンドリングを伴い、)

ゆえに, バンドリングを伴い、（ここでバンドリングの逆は、分配となる。）

ｈ項は、位相可変型のバンドリングを主に使用し、ｘ項は、位相固定型のバンドリングを使用する Bundle Bundling, and Distributing Distributing
Operation of Local Field to Relative Field (LRO)
PM (Parallel Multiplication) in a certain RCS is

Bundling
Continuums (of the same kind) are bundled together by the N formula (N's formula).
Variable phase type (phase shift type)
_{In R} Str Zai

_{In L} Str Zai

Fixed phase type

x is any positive integer
_R StrZai

(Simple substance or continuum) N's formula N's formula is

To summarize phase variable and phase fixed (phase shift type and phase locking type)

If you also write and organize other relationships
In Relative Field
_R Str (S ₁ ) side

_L Str (S ₂ ) side

C3

C4

{ _R Str (S ₁ )} side or

Only the { _L Str (S ₂ )} side is the Local Field. The local field is a field in which the in-field value (local independent variable) has a + value. The local field View is also + only.
Then, when two or more local fields are combined (combined), the individual views change relatively. Priced. View is the observation direction of the observer. Therefore, the View should not be mixed with the function and the two should be distinguished.
The binding field consisting of these two is called a Relative Field. In this case, it becomes a C3 Relative Field, and this relative field forms the C3 coordinate system. (Show.) (Fig. 3) In the case of the motion unit in this paper, the _R Str (S ₁ ) side is the − side (View is minas-), and the _L Str (S ₂ ) side is the + side (View is). plus +).
(These things are more easily understood in the synthesis field in the antigen-antibody reaction between leukocytes and microorganisms. The binding field in this case is C4.)
And I applied (applied) the Str operator to the conventional derivative. And the above-mentioned problem was solved. Specifically, the independent variable axis was formed by a single StrZai (or StrZai continuum).
In actual use, if it is necessary to deal with real numbers or distinguish between things, you can use it by multiplying it by Po. (The purpose is achieved) In one example, Po is t. (t represents time in this case)
[supplementary explanation]
View, Np, Wp in my world (+ and-and slaughterhouse)
1 Local Field and Relative Field
First, in the Cartesian coordinate system, assume that there is an observer in Origin, and let the independent variable axes on the right and left sides of the observer be the local fields on the _{S 1} side and S _{2 side, respectively.}
Within each Local Field, the independent variable is only +, which is a field equivalent to the first quadrant.
When making observations or comparisons (including comparisons by adjustment and comparison by multiplication and division) for both fields, etc.
That is,
When an operation between the two fields is required, a code operation called View is required, and the relative field is a relative field Relative Field.
2 Relative comparison
Comparison by addition and subtraction Comparison by multiplication and division
3 Np Wp
No matter how much it is divided (or torn), it is one in our world. There is one.
Therefore, the minimum unit is 1 (pieces) (Np = 1).
(In our world, the minimum unit of Np is 1. Considering View, it is -1 and +1. The value of Np at the quantum level is? = {-1 or +1})
Wp is
Wp = λ ・ Np ＝ Np ・ λ
[Supplementary explanation of Np]
The minimum unit of Np is 1. In Np, 1 is the (basic) element. This is because the basis of existence is one. At least in our perception, the smallest unit of an object is one.
0.5 does not exist. Even if one is divided into two, each is one.
No matter how many pieces are divided, each is one. Even if one piece is divided into two pieces, it is not 0.5 pieces, but one piece each. (If there is an observer even in the Np value, View is given)

[Application to equation of motion]
Here, let's apply the Str presence to the equation of motion (and the coordinate system that describes it).
Gv's _R Str is

In Newton's equation of motion (see Figure 7)

(a: acceleration, m: mass, y: distance, t: hour)

here,
There is a similar phenomenon in the equation of motion extended by the theory of relativity, and Newton's equation of motion is an element example of the equation of motion of relativity.
When acceleration and velocity are orthogonal.

When acceleration and velocity are parallel

in this case,

here,
Other (extended) equations of motion include
Other (extended) equations of motion have similar contradictions.

An example is the Navier-Stokes equation as follows.

(a: acceleration, x, y, z: positions on the coordinate, u, v, w: velocity on x, y, z, F: external force, p pressure, ρ density, νcoefficient of kinematic viscosity)
Here, the above relational expression is confirmed.

| =

+

= 0, | =

+

= 0 For printing More relative (relative addition / subtraction)

And Newton's equation of motion, which is an element example, takes into account the presence of Str.

And the solution of Newton's equation of motion, which is an example of its elements, is (n and m are arbitrary integers).

In the case of single existence, the ωd switch is ON. Others are basically OFF, and when the following time is a continuum, the ωd switch is basically OFF.

Po = t. In this case, there is only one observer and the Local Field is one of the right or left. k is a positive integer. More specifically,

When the above is differentiated

Abbreviated
_{On the R} Str side

_L Str side

Therefore, in all areas, it is as follows:

therefore

here

that's why,

Will be. The problem of singularity, the problem of initial value, and the problem of constant of integration have been solved.
Where y contains the C3 coordinate system. By incorporating this result into conventional software, new software that can obtain correct results can be created. To create the C3 coordinate system means, use the conventional creation means.
Therefore, the conventional solution is

In real mathematics
S ₁ side is the negative side,

When differentiated

S ₂ side is the positive side

When differentiated

As shown in the figure, Fig. 7a shows the conventional equation of motion “inconsistency line”.
Fig. 7b Newton's equation of motion is expressed in StrZai. The vertical axis is y and the horizontal axis is StrZai (C3 coordinate system).
Curved part

Straight line part

Constant part, integral constant part and original pole part

Time (interval) state

Figure 7c shows the C3 (Condition 3) coordinate system by StrZai on G axis. Orthogonal axis is K axis. Single Zai (Np = S ₁ 1, Wp = S ₁ 3) (Np = S ₂ 1 = 2, Wp = S ₂ 3 = 3) and Zai continuum (Np = S ₁ 3, Wp = S ₁ 3) (Np = S ₂ 3 = 3, Wp = S ₂ 3 = 3).

here,
Conventional limit type

Function by limit expression "

If you differentiate ",

Fraction is accompanied by Bundling

Therefore (from the following equation to the above equation, it is defined as distribution distribution.)

_{On the L} Str (S ₂ ) side,

It turns out that the convergent derivative is used only on one side of the coordinate system. Now, infinitesimal real numbers can also be expressed by the empty Po represented by h and x.
Uniexistence can represent infinitesimal real numbers and real numbers. The current Po can represent a real number. Here, existence is more realistic than infinitesimal, and is an element (number) of reality. (In other words, the basic (element) of this world (my world) is not an infinitesimal real number, but a pure number (integer) of 1. Multiplying it by an empty Po to represent various existences.)
Therefore, the limit (lim) can be inherited and derived from the bundling from the continuum to the single.
Moreover

Is differentiated on the _{S 1 side,}

Here, if the solution of the equation of motion is shown at the pole

From the differential equation

When differentiated

S ₂ side is the positive side

When differentiated

Differentiation of exp

According to the pole

Comparison of old and new coordinate systems (see also Figure 8)

The above is clearly stated for printing purposes.
here,

The denominator (with bundling)

Therefore, with bundling (where the opposite of bundling is distribution).

The h term mainly uses a variable phase bundling, and the x term mainly uses a fixed phase bundling.

左辺 第１項と第２項は,あわせて直前の状態項(相対式なので)、第３項は時間項、第４項は、移流項。
右辺は、第１項が圧力項、第２項が粘性項、第３項が外力項 となり、外力項は、極あり、(内)極なしが存在する。さらに圧縮項も付与したければ、同様に付与すればよい。
相対微分によるNSE

左辺第１項は時間項、第２項は、移流項、である。
右辺は、同じにて、第１項が圧力項、第２項が粘性項、第３項が外力項である。
SOC,OOC,gOOCを使用しても良い。
N;数, rは相対系のシンボル τ:τ時, υ:無次元粘性, Np: 位相数, 位相圧はpN (phase pressure) を使用

はStrZai のmacro templateマクロテンプレート.
pN=N.Np−N
Ｇ軸上の観察者が、Ｇ軸Zai内の位相圧を観察するとpN=N.Np−N
pN= N−N.Np
Ｇ軸上のZaiの中の観察者が、Ｇ軸の位相圧を観察するとpN= N−N.Np
一例
K軸の在（それはK_axis_Zai の内側,G軸在と同じ位相圧が変動分としてK軸にある）の場合、

/ を直交除算Orthogonal Division. ×を直交乗算Orthogonal Multiplicationとするなら
K/Z=G, K = Z×G, −K =G×Z
Kは、K軸K axisでの値,Zは、Z軸Z axisでの値, Gは、G軸G axisでの値,
N. Npは位相数(現在の数にもとづく位相数)
実圧Actual pressureであるPは
P=pPo・pN
(pPo 圧ポテンシャル: 位相圧を実圧に変換する)
nは、原極なので、Strを乗しても無変化、Strを乗せいない。
S₂・g₁(m) = (n+S₂m) −n = +m (10-5)
S₁・g₁(m) = (n+S₁m) −n = −m (10-6)
S₂・g₂(m) = n − (n−S₂m) = +m (10-7)
S₁・g₂(m) = n − (n−S₁m) = −m (10-8)
左辺 第１項と第２項は,あわせて直前の状態項、第３項は時間項、第４項は、移流項

右辺

右辺は、圧力項、粘性項、外力項 となり、外力項は、(内)極なしの力のみの

の場合もあります。N=f(eF)、f( )は、eFをNに変換する関数。
ここで、
Str Zaiで記述されたナビエストークス方程式(NSE)は、滑らかさを有する.

相対微分の観点からは、
C3左辺

C3右辺

C4は、上記C3関係を

のC4関係で置き換えればよい。
もちろんBundlingバンドリング(束ね)やDistributing分配をしてもよい。
他の式も同様である。

C4

右辺

右辺は、圧力項、粘性項、外力項 となり、外力項は、(内)極なしの力のみの

の場合もあります。N=f(eF)、f( )は、eFをNに変換する関数。

NSE Sp
テーラー展開第２項までは,

(_CcdN)収束微分子による数は、座標系の片側のみを示す無限小実数. _rd は極をしめす.

相対微分Relative Differentiation, 極値算出手段は、少なくとも相対微分方程式をSOCまたはOOCで実現した手段である。SOCでは、白血球連続体であり、OOCでは、コンピュータなどに搭載された相対微分方程式である。従来の収束微分での評価は、Δｔ後のΔNという在表記(在の増加分)であぅたが、相対微分は、

とでの評価で良いので、
C1

C1より,

となり、従来NSEと方向は、逆となっている。さらにΔｔ分の未来での式構成ではなく、相対微分構成(極構成)としてもよい。
詳細,

C2

C2より

詳細,

N は存在数. Nは他の変数でもよい, 位置、距離、変位など.
C1とC2 相対微分方程式Relative Differential Equation
C1

バンドリングBundling

C2

バンドリングBundling

NSE from NSE convergent derivative (absolute derivative) to relative derivative NSE

The first and second terms on the left side are the state term immediately before (because it is a relative expression), the third term is the time term, and the fourth term is the advection term.
On the right side, the first term is the pressure term, the second term is the viscosity term, and the third term is the external force term. The external force term has a pole and there is no (inner) pole. If you want to add a compression term, you can add it in the same way.
NSE by relative differentiation

The first term on the left side is the time term, and the second term is the advection term.
The right side is the same, the first term is the pressure term, the second term is the viscosity term, and the third term is the external force term.
SOC, OOC, gOOC may be used.
N; number, r is the symbol of the relative system τ: τ, υ: dimensionless viscosity, Np: number of phases, phase pressure uses pN (phase pressure)

Is StrZai's macro template.
pN = N.Np−N
When an observer on the G axis observes the phase pressure in the G axis Zai, pN = N.Np−N
pN = N−N.Np
When an observer in Zai on the G-axis observes the phase pressure on the G-axis, pN = N−N.Np
One case
In the case of K-axis (it is inside K_axis_Zai, the same phase pressure as G-axis is on K-axis as fluctuation)

If / is Orthogonal Division. × is Orthogonal Multiplication
K / Z = G, K = Z × G, −K = G × Z
K is the value on the K axis K axis, Z is the value on the Z axis Z axis, G is the value on the G axis G axis,
N. Np is the number of phases (the number of phases based on the current number)
P, which is the actual pressure, is
P = pPo ・ pN
(pPo pressure potential: convert phase pressure to actual pressure)
Since n is the original pole, it does not change even if Str is added, and Str is not added.
S ₂ · g ₁ (m) = (n + S ₂ m) −n = + m (10-5)
S ₁・ g ₁ (m) = (n + S ₁ m) −n = −m (10-6)
S ₂ · g ₂ (m) = n − (n − S ₂ m) = + m (10-7)
S ₁ · g ₂ (m) = n − (n − S ₁ m) = −m (10-8)
The first and second terms on the left side are the state term immediately before, the third term is the time term, and the fourth term is the advection term.

right side

The right side is the pressure term, viscosity term, and external force term, and the external force term is only the force without (inner) pole.

In some cases. N = f (eF) and f () are functions that convert eF to N.
here,
The Navier-Stokes equation (NSE) written in Str Zai has smoothness.

From the point of view of relative differentiation,
C3 left side

C3 right side

C4 has the above C3 relationship

It can be replaced with the C4 relationship of.
Of course, Bundling bundling or Distributing distribution may be used.
The same applies to other formulas.

C4

right side

The right side is the pressure term, viscosity term, and external force term, and the external force term is only the force without (inner) pole.

In some cases. N = f (eF) and f () are functions that convert eF to N.

NSE Sp
Up to the second item of Taylor expansion,

( _Cc dN) The number by the convergent molecule is an infinitesimal real number indicating only one side of the coordinate system. _R d indicates the pole.

Relative Differentiation, an extremum calculation means, is a means that realizes at least a relative differential equation by SOC or OOC. In SOC, it is a leukocyte continuum, and in OOC, it is a relative differential equation installed in a computer or the like. The conventional evaluation by the convergent derivative is the existing notation (increased amount) of ΔN after Δt, but the relative derivative is

Since the evaluation with and is good,
C1

From C1

Therefore, the direction is opposite to that of conventional NSE. Further, instead of the formula configuration in the future for Δt, a relative differential configuration (polar configuration) may be used.
detail,

C2

From C2

detail,

N is the number of existences. N can be other variables, such as position, distance, and displacement.
C1 and C2 Relative Differential Equation
C1

Bundling

C2

Bundling

保存場なら

50%と

50%の存在確率、偏りあれば、適時存在確率は変化する。
断り無ければ、保存場とする。
1.1.1Δの２乗, 正確には在対Zai pairの乗算 (原極originの使用)

これは、虚数学の共役複素数と同じ、それは、実数学の、原極originに接続しているZai Pairの乗算. (

)
1.1.2 在対の位相詳細, 存在軸詳細 The phase expression of Zai Pair
この場合n は 原極origin. ｎに接続している極の状態、GとKは、軸名

もしViewが観察者が存在するG軸上のMuZaiから取り除かれるならMuZai は、観察者が存在しないK軸上のUZaiとなります。観察者は、現状、G軸上にしか存在できない。
1.1.3対でないZais Δの自乗,

,

1.1.3.1 non Zai Pair例, ｛位相と軸 (K or G)を明記.｝

演算子は、重なるか並列.

1.2 C3 または C4 観察
Strの決定 (Strの付与)、 観察におけるViewの決定

1.3 UZai Pair (Continuum)の総積と原始座標系primitive coordinate system (PCS)
1.3.1 UZai Pair (Continuum)の総積は原始空間(PCS)をみせる.

省略型は、ここで( [a, b, c, d]_rep=[a, b, c, d]_repeating : a, b, c, d, a, b, c, d, …)

をくりかえす。(repeating=rep 省略型)
UZaiは直交座標に存在し,定常的平行乗算をしている。
UZai連続体(UZai Pair)の総積は.

の連続 この演算の結果は figure 1に示す. これは波動性と粒子性を示す。各状態のシフト量は、各々π/2.

(

1.3.2 Other operation PCS (

)

The above equation is applied to ω operator. (‘×’ orthogonal multiplication)

(

)

Distributingは、分配、Bundlingは、束ね。
1.3.3 配列連続体The array continuum, 配列メンバの位相角phase angleはπ/2です,

そのサイン側配列sine side arrayは、(位相が)コサイン側配列cosine side arrayはπ/2進んでいる. もしコサイン側配列が第１象限横軸であるなら、サイン側配列は、第１象限縦軸です。ゆえに、もしUZaiがオイラーの公式における虚数(項)に置き換わるなら、その式の左辺は、振幅またはpower (面積)を示し、その式の右辺RHS (Right hand side)は、PCSの実枠(座標系の縦軸と横軸)を示す。その両者は、波動性と粒子性における原点origin point (原極は大きさがないが、原点は大きさをもつ)を示す。
{単独のPCSは、断続波ですが、多くのPCSが相対的に重なることにより滑らかな波が生成できる。} それは、オイラーの公式の真の姿です。それを多位相４項式{multi-phase four term equation (MpFtE)}と定義します。

1.3.4多位相４項式Multi-phase four term equation (MpFtE)
RL MpFtE (左回転の多位相４項式rotation-left multi-phase four term equations) C3 Fig2

第２式, 第４式におけるsinθとZai (cosθとZai)のこの演算は、直交演算を構成する.その値は、cos軸またはsin軸と在との面積「１」と等しい。
第２項式 (第２式) (2^nd term eq.)は、右辺いずれかの項がS_?１，他項が０となる。

4^th term eq. は、

相対絶対値演算子Relative absolute value operator (RAO) ²を、エリア確認のために使用すると

エリアは、1で一定. そのマイナスは、View演算子のRv₁です.
RR MpFtE (右回転多位相４項式rotation right multi-phase four term equations) C4 Fig3

θ と Zaiは、直交関係
従来、オイラー項式のθとiは、直交関係。
右辺θと在は、直交関係、ゆえに左辺在とθも直交関係Δ×θ (‘×’ 直交乗算)

Their equations are origin point (OP) on PCS. It has wave and particle property.
Examples
第１式の例 Example 1^st equation (他も同様)

左辺側Left hand side (LHS), 右辺側right hand side (RHS), φは、Z軸とGK平面の角度です。
オイラーの公式の真の姿と未来 における詳細C3
1.3.3.1 開始位相θ = 0, 1.3.3.2 開始位相θ=π/2, 1.3.3.4 開始位相θ= 3π/2, 1.3.3.3 開始位相θ=π,
1.3.3.1 開始位相θ = 0

LHSは, もし開始位相がθ=0なら, (See G, K, and Z axis in Figure 5)

観察者(観測者)は、Z軸からGK平面を観測(観察)している。 (Figure 5)
RHSは、C4連続体とC3連続体

1.3.3.2 開始位相 θ=π/2

LHS, (See G, K, and Z axis in Figure 5)

RHSは、K軸K axisです. PCS No1

1.3.3.3 開始位相θ=π

ここで, この第１項目1 ^st termは、

Euler's equation)と等価な式です.

LHSは,

RHSは、C3連続体とC4連続体

ここで、上記の第１項目の式は、

(Euler's equation)と等価である.

1.3.3.4 開始位相θ= 3π/2

LHSは、

RHSは、

1.3.3.5 RHSをまとめると

RCS C3 C4 C3 C4 C3

RCS C4 C3 C4 C3 C4

不確定性在と虚数は、違う値ですが、UZai Δは、虚数iと等価な演算を行えます。
1.4実座標系(RCS)における原始座標系(PCS)の基本性質
そして、横軸であるS₂ side (+side) 側に存在する_LStrZaiとS₁ side (-side) 側に存在する_RStrZaiと、それと直交する直交軸上にて、かつ、横軸とその直交軸とが交差する位置の原極(origin)の両側で、+Δと-Δは、位置する。(Figs 2, 3)
もし、観察者(観測者)が横軸に存在するなら、UZai対連続体の総積の値は、

(Figs 2a, c, e and g, and 3a, c, e and g)
となる。
ゆえに、(RCSの)PCSは、UZaiが直交軸のZai対を構成します。他方、横軸におき、それはC3とC4のStrZai対を構成します。
従って、在連続体による実座標系(RCS)は、StrZaiを使用するC4とC3座標系を構成します。 (Figs 2 and 3) (Fig. 4).

1.5 (マクロ) RCS
1.5.1 Str在対、StrZai対、StrZai Pair

1.5.2 StrZai連続体, 関数内演算, 実座標系real coordinate system (RCS) において,

1.6.3 StrZai連続体, 関数内演算, 実座標系real coordinate system (RCS) において,
N’s formula は、

ゆえに, (座標系の)横軸連続体は、StrZaiより形成される。
1.7 原始座標系の詳細性質Primitive coordinate system (PCS) Detail character
1.7.1 乗算と回転 (座標系の生成)
第１項と第３項、そして、第２項と第４項は、平行です。(同じ軸上の乗算と加算連続体) (UZai対による乗算または在対によるRfにおける極接続そして加算), ゆえに、平行乗算が、以下のごとくに可能である。
1.7.2 1^st項と3^rd項による乗算 (1^st and 3^rd are conjugate complex number.)

1.7.3 The 2^nd項と4^th項の乗算 (power term : 面積項)

そのオイラーの項式による４項式は、原始座標系の原極(Kyoku originまたは単にoriginと表現する)辺りの動的状態の一部であります。とれは、ちょうど、大きさをもつ原点origin point (OP)を示します。(Kyoku originは、大きさゼロです。)
それは、波動性と粒子性を示します。
1.7.4 ４象限の１周期 One cycle in four quadrants,
上記１周期の4要素を加算すると、その結果はゼロとなる。

2 複素数の検証 The verification (result) of a complex number.
在がオイラーの公式など、複素数へ対応する虚数に等しいけれど、その在の値は異なる。
{以下の場合ωd (switch)¹はOFFです。(See supplementary Method S1 in ref 1.)}
2.1 分配Distribution

2.2 加算Addition

2.3 乗算Multiplication
2.3.1

2.3.2

2.4 共役複素数の乗算 Multiplication of a conjugate complex number: (Generation of _RStr)

共役複素数(共役複素UZai)は、乗算により_RStrZaiを抽出する。算出する。(平行関係と直交関係に注意)
2.4.1 共役複素数と絶対値A conjugate complex number and absolute value
1^st 項と 3^rd 項は、共役関係

2^nd 項と 4^th 項

左辺の絶対値Absolute value of left hand side is

右辺の絶対値Absolute value of right hand side is

2.5 オイラーの公式 Euler's equation
1.3.3.3 開始位相 θ=π より、

であり、これを略すると

となり、この式は、

(Euler's equation)と等価であることがわかる

Discussion 1
もし、ViewがMuZaiから除去されたなら、UZaiが発生する。生成される。それゆえに、UZaiは、G軸から、K軸へ行きます。観察者が居るG軸から、観察者の居ないK軸へゆく。それは、実数学の要素です。UZaiは、虚数と等価な演算子です。UZaiの総積は、(実座標における)原始座標をつくります。そして、それはマクロ実座標をつくります。その過程において、UZai粒子は、波動をなします。さらに、もしUZaiがオイラーの公式に代入されるなら、PCSが生成されます。その生成は、オイラーの公式の真の姿です。違う見方をすれば、我々は、オイラーの公式を理解できなかった。しかし、我々はUZaiの適用により、容易に理解することができます。
その公式は、４状態をもつ動的な座標系です。

それは、PCS(素粒子と波動性と粒子性)を示す。それは、マクロRCSを生成する。ゆえに、UZaiは、素粒子を示す。ゆえに、その存在確率は、50%と50% (

)です。もしUZaiが完全な保存場に存在するなら、それは、{50%と50%: (

)}の値をとる。もし保存場が崩壊するなら、UZai対の存在率が変化する。(例えば 49%-51% など) その変動は、PCSからマクロRCSを生成します。(量子からマクロへ) この偏りを生成する手段を、物質生成手段とする。
Discussion 2
場は、保存場で、最小エネルギーの正常状態(normal state)です。それは、バイアス有しません。UZaiの存在確率は、{50%と50%: (

)}です。「View(観察者)がありません。」は、UZaiがK軸にあり、それは素粒子を意味します。
Discussion 3
マクロレベルの要素は、不確定性(MuZai)です。そして、それは、量子レベル(UZai)としての不確定性と同じです。


ーーーーーーーー 旧バージョン ーーーーーーーーーーーーーー
不確定性在UZai, UZai 図１０参照
Δ (UZai)は,

Zai pairの乗算 (在対の極接続している極が原極の場合)(原極Originの使用)

虚数と等価である。(複素共役での乗算、各々が各々に対し共役複素数)しかし、虚数とは異質である。(複素共役の場合は、在対であり、極接続の在同士の位相が異なる。一方、絶対値は、同相の在同士の乗算の√平方根である) (在対の乗算と同相の在自身の乗算)
在対(Zai Pair)を位相明示すれば

_RStrの生成
(同相)在の自乗,在対不使用の場合,原極の不使用でもある(在自身の乗算は,在対の乗算と異なる)

在対でない在２組の一例 non Zai Pair, (位相明示.)

C3 または C4 の観察下(Obs)
Strの決定 (Strの付与)は、観察のViewを決めることである

不確定性在対の総乗、原始座標系Primitive Coordinate System (PCS)、実座標系Real Coordinate System (RCS) 相対座標系Relative Coordinate System (RCS)＝実座標系

(x は任意の整数)
オイラーの公式などより、虚数学での実軸と虚軸は、直交している。同様に、またはω１演算子(ω演算子)よりわるように、実数学上の極側(cos側)と在側(sin側)は、直交している。

UZaiをオイラーの公式Euler's formulaに適用するには、原始座標系Primitive Coordinate System (PCS)から始まる。（nはorigin. 不確定性在Δと虚数iは、等価であるが、その値は違っている）

原始座標系Primitive Coordinate System (PCS)
横軸にS₁ (−側)である_RStr ZaiとS₂側(+side)である_LStr Zai が存在し、+Δと −Δは、(在が存在する横軸に対し)直交軸の極の両側に位置している. (Viewが無いと、G軸には存在できない)
観察者が横軸にあるなら、不確定性在の総積は

UZai によってなされた原始座標系は縦軸(K軸)で在対を構成する。 他方、横軸(G軸)で C3 あるいは C4 の StrZai のペアが構成される。
さらにZai連続体によっての実座標系はStr Zaiを使うC3とC4座標系でできている。
Nの公式N’s formula は

ゆえに、
横軸連続体は、StrZaiにより形成されます。
粒子性と波動性を統一することができる座標システムは、Zai による座標系を構成します (UZai, _LStrZai and _RStrZai).
以上などは、
原始座標系Primitive Coordinate System (PCS)
を示す。
さらに、
上記より{continues mode (no View)}

ここで

上記演算を以下のω演算子に適用する,ただし,場は保存場とし,偏りが無く,エネルギーの低い状態の基底状態(定常状態)とすると,UZaiの両在(−１と＋１)の存在確率は,50％と50％で＋場と−場に存在するという事(保存場)は,交互に繰り返す事である(慣性系).さらにView(観察者)が無いとは, UZaiは極軸にあるという事を意味する.

粒子状態 Particle mode Our World

反粒子状態 Antiparticle condition

D: Distributing 分配, B: Bundling 束ね(収束),
UZai continues mode (no View) Viewを取り外すと回転する.在の極移動

The extruding from pF,
MuZai macro mode (View が存在するが、Viewを見失っている. Lost View)

場は、保存場とし、偏りの無く、エネルギーの低い状態の基底状態(定常状態)とすると、UZaiの両在(−１と＋１)の存在確率は、５０％と５０％で＋場と−場を交互に繰り返すと最も安定する。ここで、５１％と４９％など場に偏りがあると、G軸上での右または左において連続StrZaiが形成される。

である。実際に量子は、観察者Viewが無い。さらに不確定性原理より、真空は粒子の生成や消滅をくりかえしている。この生成、消滅が、K軸での

の繰り返しの結果表出したG軸での右在と左在の生成、消滅である。５０％と５０％で繰り返さなければ、不安定になり、そして宇宙は、爆発する。そして、同一Originで回転しなければ、やはり不安定となる。繰り返し、同一Originでの回転が、保存場を形成しうる。この同一Originを回転するこの実座標系を観察した結果が

であり、その解{テーラー級数による合成(変換)により解をもとめた結果}が、

となる。ここで、From figure 1 in reference 1,
Local View

であり、滑らかである。It is smoothness.
Relative View

となる。そして、and, in equation (1),
この式は、

を
第１象限からにすると, (以下第１項から[第1, 第2, 第3, 第4]象限をしめす)

となり、(素粒子側から観たものなので、G軸は、横軸、交互に現れている)

上記第１項がオイラーの公式であることがわかる。すると、第２，３，４項は、各々、

となる。G軸とK軸の混合座標、素粒子ならではの座標である。
ここで、左辺乗数は、特に２項と４項、見えにくいので、以下に拡大記載する。

さらに、第１項と第３項は、共役関係となっている。

第1項と第3、そして、第2項と第4同士は、並行であり、並行乗算可能であり,
( Rfで在対加算、Lfで定速乗算し続けている。この状態が保存場、慣性系である。)
Rfでの加算, Lfでの乗算は、同時性を持つ、それが座標系をつくりだしている
第１項と第３項、第２項と第４項は、同軸に存在する乗算連続体でもある。（Rf加算連続体でもある）
第1項と第3項を乗すると、(Local fieldで演算する事に注意)

なので,、、
第2項と第4項だと、

オイラーの公式とは, AO周りのprimitive coordinate system (PCS) の動態(様態) (第1項と第3項)の一部であった。そして、１サイクル(４象限分, ４項分)足すと０となる。

さらに、進めると、
1.3.3
上記位相角π/2の連続体(４つの配列の連続体：４配列連続体)である

をオイラーの公式の左辺の虚数iに代入してみると、（個々の状態は、π/2づれており、さらに、スタート位相を４位相分記述する、）右辺は、

これは、
cos側配列からみて、sin側配列は、π/2進んでいる。
cos側配列が第一象限横軸なら、sin側配列は、第一象限縦軸である。
ゆえに、

{配列内値は、後値ほど演算位相+π/2進んでいる。

前方検討}

以上第１項の位相、θ =０，π/2、π、3π/2、として計算すると、



1.3.3.1 スタート位相 θ = 0

左辺, θが、この位相だと、Local View(K, G, Z)が６つある。(See G, K, and Z axis in Figure 5)

from Relative Viewから見ている。GK面をZから観ている。(Lv３つ,Rvひとつ)
θが、この位相だと、右辺はC4, C3の連続となる。Local View(K, Gと＋、―)が４つある。

1.3.3.2 スタート位相 θはπ/2から

左辺, θがこの位相だと、{ここでLocal View(K, G, Z)は６つある。(See G, K, and Z axis in Figure 5)}

θが、この位相だと、右辺はK軸となる。PCS No1 (Local Viewは相対View2つとなる。)

1.3.3.3 スタート位相 θはπから

左辺, θが、この位相だと、Local View(K, G, Z)が６つある。(See G, K, and Z axis in Figure 5)

from Relative Viewから見ている。GK面をZから観ている。(Lv３つ,Rvひとつ)
θが、この位相だと、右辺はC3とC4の連続となる。Local View(K, Gと＋、―)が４つある。

1.3.3.4 スタート位相 θは3π/2から

左辺, θがこの位相だと、{ここでLocal View(K, G, Z)は６つある。(See G, K, and Z axis in Figure 5)}

θが、この位相だと、右辺はK軸となる。(Local Viewは相対View2つとなる。)

1.3.3.5 右辺まとめると

となる。
ーーーーー 以上旧バージョン ーーーーーーーーーーーーーーーーー
附則)
1 オイラーの公式の生成過程

2 一方,三角関数は,

3 他方, expΔθは,

ここで［ ］は,繰り返し部分を示す。・は(平行関係の数の)平行乗算,×は(直交関係数の)直交乗算
4 不確定性在Δでの三角関数は,

上記Eは、マクロにおき、上記のごとく

pENは、素粒子レベルでは、(Viewがない. 観察者がない. 観測行為がない)

となる。
ここで、不確定性在Δにおける、複素数a complex numberに準拠する諸性質
分配Distribution
k(|a+Δb) = (k|a+kΔb) = k(a|+bΔ) = (ka|+kbΔ)

加算Addition と 束ねBundling
(|a+Δb)+ (|c+Δd) = |(a+c) +Δ(b+d) = (a|+bΔ)+(c|+dΔ) = (a+c)| + (b+d)Δ.

Local fieldだと、StrZaiは、

乗算 Multiplication

×は直交乗算orthogonal multiplier.

は平行乗算 parallel multiplier.
さらに、
(|a+Δb)(|c+Δd) = |a|c+|aΔd+|cΔb+ΔbΔd = |ac+Δad+ Δcb+Δ²b d

(a|+bΔ)(c|+dΔ) = a|c|+a|dΔ+c|bΔ+bΔdΔ= a|c|+adΔ+cbΔ+ bdΔ²

極|を

に置き換えても同様である。

複素数の乗算Multiplication of a conjugate complex number: (_LStrの生成)
(a+bΔ)( a−bΔ) = (|a+Δb)(|a−Δb) = |a²−|aΔb + |aΔb−Δ²b² = |²a²−Δ²b²

複素数と複素不確定性在は等価であり、_LStr Zaiを乗算により生成できる
複素数と絶対値A conjugate complex number and absolute value

さらにオイラーの公式第１項と第３項は、共役関係にあり、

左辺の絶対値Absolute value of left hand sideは

右辺の絶対値Absolute value of right hand sideは

図1,4から16に関して 一例として在は三角形として描く 丸の例図3,17,18, 特願2015-35196, 2015-200651, 2015-201199, 2015-201200, 2015-201201, 2015-201206などもあり
図１０(A) UZai
図１０(B) C3 Str Zai Pair
図１０(C) C4 Str Zai Pair
図１０(D) C3 Str Zai Pair and UZai
図１０(E) C4 Str Zai Pair and U.Za
総積によるC3不確定性在の図11, C3 UZai Pair by Infinite product

Originに極接続した在の縦軸値
(A) +Δ = ?

総積によるC4不確定性在の図12, C4 UZai Pair by Infinite product

Originに極接続した在の縦軸値
(A) +Δ = ?

原始座標系における不確定性在UZai 図１３参照
(A) A-0:UZai, A-1: 極接続Kyoku connectionの過渡状態, A-2: 在対
(B) C3座標系 Str在対StrZai Pair.
(C) C4座標系 Str在対StrZai Pair
(D) もし,同値の在が極結合したなら,連続な在でなく,倍の大きさの在が生成される.
(E) 直交在対Orthogonal Zai Pair
(F) 極Kyokuは |.
極在平面と複素平面は、それぞれ、Originで接続される直交する２軸をもつ。
UZai Sp
ωd Operatoion {ωd (switch)} をONにすると
Δbはb 個 という事 (Ex= b・? = ?・b, Np= b・?=?・b, Wp = b・? =? ・b) (ωd ON)
bΔはΔ のサイズがb という事 (Ex= b・? = ?・b, Np＝?, Wp = b・? =? ・b) (ωd ON)
Δb と bΔは等価であるが、(Δb＝bΔ), 意味が違う (Np と Wp は異なる).
1.4 ωd is OFF; Δb ≡ bΔ, (Np=Wp= b・? =? ・b)
?バージョン

n=0, m 任意の整数. m=Po, 原始状態で m=1

在を成す閉じた極ゆえに、NpとWpは復元可能です。(HI→SI)

S?バージョン
n=0, m 任意の整数. m=Po, 原始状態で m=1

The S_?はStr (S₁ or S₂)のテンプレート,

在を成す閉じた極ゆえに、NpとWpは復元可能です。(HI→SI)

It is said that Rafael Bombelli's imaginary number was defined in 1572, after which René Descartes made the imaginary number "nombre (s) imaginaire (s)" simply "imaginaire (s)" in "La Geometrie", and then It becomes an imaginary number. However, from Wikipedia, we will disclose the real UZai and MuZai that enable the same operations as imaginary numbers. This means that it is possible to actually create an arithmetic means equivalent to an imaginary number as an actual arithmetic means, which is elementized from an actual Leukocyte (WTL, WSTL). Furthermore, the actual behavior of UZai clarifies the actual behavior and effect of the imaginary number, and the imaginary part that cannot be actually used and the part that can be used in the real world by the actual UZai operator are clarified. I was able to secure the sex. This is a great effect of imaginary and real mathematics. That is, real mathematics has Article 36 clarity.
In the past, it was only a convenient mathematical index, but with UZai and MuZai, it can be used as an actual circuit. This effect is industrially significant.

With the clarity of Article 36 of the imaginary relationship by UZai and MuZai and its realization as an operator in the real world, the operation of the imaginary relationship, which was previously unclear, will be patented.

Furthermore, by RCS and PCS, the coordinate system is realized and Article 36 clarity is ensured. Similarly, Article 36 clarity is ensured for the four arithmetic operations. Coordinate system operators can be patented, and operators can also be patented for four arithmetic operations.

Uncertainty UZai, UZai See Figure 10 New version
1 UZai verification result, Δ (UZai). (Art_File UZai 8-8-T18-2 + Abst 1 K1)
1.1 The definition of Δ (UZai) is

If it's a storage field

50%

If the existence probability is 50% and biased, the existence probability will change in a timely manner.
Unless otherwise noted, it will be a storage field.
1.1.1 Δ squared, to be exact, multiplication of Zai pair (use of origin)

This is the same as the conjugate complex number of imaginary mathematics, which is the multiplication of the Zai Pair connected to the origin of the original mathematics. (

)
1.1.2 Phase expression of Zai Pair
In this case, n is the state of the pole connected to the origin. N, and G and K are the axis names.

If View is removed from MuZai on the G-axis where the observer is present, MuZai becomes UZai on the K-axis where the observer is not present. Observers can currently only exist on the G-axis.
1.1.3 Square of non-paired Zais Δ,

,

1.1.3.1 non Zai Pair example, {Specify phase and axis (K or G).}

Operators overlap or parallel.

1.2 C3 or C4 observation
Determining Str (giving Str), determining View in observation

1.3 UZai Pair (Continuum) Infinite Product and Primitive coordinate System (PCS)
1.3.1 The total product of UZai Pair (Continuum) shows the primitive space (PCS).

The abbreviation is here ([a, b, c, d] _rep = [a, b, c, d] _repeating : a, b, c, d, a, b, c, d,…)

Repeat. (repeating = rep abbreviation)
UZai exists in Cartesian coordinates and performs steady parallel multiplication.
The total product of the UZai continuum (UZai Pair) is.

The result of this operation is shown in figure 1. This shows the wave nature and the particle nature. The shift amount for each state is π / 2.

(

1.3.2 Other operation PCS (

)

The above equation is applied to ω operator. ('×' orthogonal multiplication)

(

)

Distributing is distribution, Bundling is bundling.
1.3.3 The array continuum, the phase angle of the array members is π / 2,

The sine side array is (in phase) the cosine side array is advanced by π / 2. If the cosine side array is the first quadrant horizontal axis, the sine side array is the first quadrant vertical. The axis. Therefore, if UZai replaces the imaginary number (term) in Euler's formula, the left side of the equation indicates the amplitude or power (area), and the right hand side of the equation RHS (Right hand side) is the actual frame (coordinates) of the PCS. The vertical and horizontal axes of the system) are shown. Both show the origin point in wave nature and particle nature (the origin has no size, but the origin has size).
{A single PCS is an intermittent wave, but a smooth wave can be generated by the relative overlap of many PCSs. } It is Euler's official true form. We define it as a multi-phase four term equation (MpFtE)}.

1.3.4 Multi-phase four term equation (MpFtE)
RL MpFtE (rotation-left multi-phase four term equations) C3 Fig2

This operation of sinθ and Zai (cosθ and Zai) in the second and fourth equations constitutes an orthogonal operation. Its value is equal to the area "1" between the cos axis or the sin axis and the presence.
Second binomial (second equation) (2 ^nd term eq.) Is the right side either term is the _S? 1, the other terms 0.

4 ^th term eq. Is,

When the Relative absolute value operator (RAO) ² is used for area confirmation,

The area is constant at 1. Its minus is the View operator Rv ₁ .
RR MpFtE (rotation right multi-phase four term equations) C4 Fig3

θ and Zai have an orthogonal relationship Conventionally, θ and i in the Euler term equation have an orthogonal relationship.
The right side θ and the presence are orthogonal, and therefore the left side θ and θ are also orthogonal relation Δ × θ ('×' orthogonal multiplication).

Their equations are origin point (OP) on PCS. It has wave and particle property.
Examples
Example 1 ^st equation (same for others)

Left hand side (LHS), right hand side (RHS), φ are the angles between the Z axis and the GK plane.
Euler's formula true picture and details in the future C3
1.3.3.1 Starting phase θ = 0, 1.3.3.2 Starting phase θ = π / 2, 1.3.3.4 Starting phase θ = 3π / 2, 1.3.3.3 Starting phase θ = π,
1.3.3.1 Starting phase θ = 0

LHS, if the starting phase is θ = 0, (See G, K, and Z axis in Figure 5)

The observer (observer) is observing (observing) the GK plane from the Z axis. (Figure 5)
RHS is C4 continuum and C3 continuum

1.3.3.2 Starting phase θ = π / 2

LHS, (See G, K, and Z axis in Figure 5)

RHS is K axis K axis. PCS No1

1.3.3.3 Starting phase θ = π

Here, this first item 1 ^st term is

Euler's equation) .

LHS is

RHS is C3 continuum and C4 continuum

Here, the formula of the first item above is

Equivalent to (Euler's equation).

1.3.3.4 Starting phase θ = 3π / 2

LHS is

RHS is

To summarize 1.3.3.5 RHS

RCS C3 C4 C3 C4 C3

RCS C4 C3 C4 C3 C4

Uncertainty exists and imaginary numbers are different values, but UZai Δ can perform operations equivalent to imaginary numbers i.
1.4 Basic properties of the primitive coordinate system (PCS) in the real coordinate system (RCS) And _L StrZai _{existing on the S 2} side (+ side) side and _R StrZai _{existing on the S 1} side (-side) side of the horizontal axis. And, + Δ and -Δ are located on the orthogonal axis orthogonal to it, and on both sides of the origin at the position where the horizontal axis and the orthogonal axis intersect. (Figs 2, 3)
If the observer is on the horizontal axis, the value of the total product of UZai vs. continuum is

(Figs 2a, c, e and g, and 3a, c, e and g)
Will be.
Therefore, in PCS (of RCS), UZai constitutes a Zai pair with orthogonal axes. On the other hand, on the horizontal axis, it constitutes a StrZai pair of C3 and C4.
Therefore, the real coordinate system (RCS) with continuums constitutes the C4 and C3 coordinate systems that use StrZai. (Figs 2 and 3) (Fig. 4).

1.5 (macro) RCS
1.5.1 Str vs. StrZai, StrZai Pair

1.5.2 StrZai continuum, in-function operation, real coordinate system (RCS),

1.6.3 StrZai continuum, in-function operation, real coordinate system (RCS),
N's formula is

Therefore, the horizontal axis continuum (in the coordinate system) is formed from StrZai.
1.7 Primitive coordinate system (PCS) Detail character
1.7.1 Multiplication and rotation (coordinate system generation)
The first and third terms, and the second and fourth terms are parallel. (Multiplication and addition continuum on the same axis) (Multiplication by UZai pairs or pole connection and addition in Rf by pairs), therefore, parallel multiplication is possible as follows.
1.7.2 ^{Multiplication by 1 st} and 3 ^rd terms (1 ^st and 3 ^rd are conjugate complex number.)

1.7.3 The 2 multiplications ^nd term and 4 ^th term (power term: area section)

The Euler's binomial is part of the dynamic state around the origin (Kyoku origin or simply expressed as origin) in the primitive coordinate system. Tore just indicates the origin point (OP) of magnitude. (Kyoku origin is zero in size.)
It exhibits wave nature and particle nature.
1.7.4 One cycle in four quadrants,
When the four elements of the above one cycle are added, the result becomes zero.

2 The verification (result) of a complex number.
The existence is equal to the imaginary number corresponding to the complex number such as Euler's formula, but the value of the existence is different.
{In the following cases, ωd (switch) ¹ is OFF. (See supplementary Method S1 in ref 1.)}
2.1 Distribution Distribution

2.2 Addition Addition

2.3 Multiplication Multiplication
2.3.1

2.3.2

2.4 Multiplication of a conjugate complex number: (Generation of _R Str)

The conjugate complex number (conjugate complex UZai) _{extracts R} StrZai by multiplication. calculate. (Note parallel and orthogonal relationships)
2.4.1 A conjugate complex number and absolute value
1 ^st term and 3 ^rd section, conjugate relationship

2 ^nd term and the 4 ^th term

Absolute value of left hand side is

Absolute value of right hand side is

2.5 Euler's formula
1.3.3.3 From the start phase θ = π

And if this is abbreviated

And this formula is

It turns out that it is equivalent to (Euler's equation)

Discussion 1
If View is removed from MuZai, UZai will occur. Will be generated. Therefore, UZai goes from the G axis to the K axis. From the G-axis with the observer to the K-axis without the observer. It is an element of real mathematics. UZai is an operator equivalent to an imaginary number. UZai's infinite product creates primitive coordinates (in real coordinates). And it creates macro real coordinates. In the process, UZai particles make waves. In addition, if UZai is assigned to Euler's formula, a PCS will be generated. Its generation is Euler's official true form. From a different point of view, we could not understand Euler's formula. However, we can easily understand it by applying UZai.
The formula is a dynamic coordinate system with four states.

It exhibits PCS (elementary particles and wave nature and particle nature). It produces a macro RCS. Therefore, UZai represents elementary particles. Therefore, its existence probability is 50% and 50% (

)is. If UZai is in a complete servative, it will be {50% and 50% :(

)} Takes the value. If the conservation field collapses, the abundance of UZai pairs will change. That variation (for example, 49% -51%) produces a macro RCS from PCS. The means for generating this bias (from quantum to macro) is called the substance generation means.
Discussion 2
The field is a conservative field, which is the normal state of minimum energy. It has no bias. UZai's probability of existence is {50% and 50% :(

)}is. "No View" means UZai is on the K axis, which means elementary particles.
Discussion 3
The macro level element is the uncertainty (MuZai). And that is the same as the uncertainty as a quantum level (UZai).


---------- Old version ---------- Uncertainty present UZai, UZai See Fig. 10 Δ (UZai),

Multiplication of Zai pair (when the pair of poles connected to the original pole is the original pole) (use of the original pole Origin)

Equivalent to an imaginary number. (Multiplication with complex conjugates, each conjugate complex number for each) However, it is different from the imaginary number. (In the case of complex conjugates, they are paired and the phases of the polar connections are different. On the other hand, the absolute value is the √ square root of the multiplication of the in-phase multiplications.) Multiplication)
If the phase of Zai Pair is shown

_R Str generation
(Homeomorphism) In the case of the square of existence and non-use of the pair, it is also the non-use of the original pole (the multiplication of the existence itself is different from the multiplication of the pair).

An example of two pairs that are not paired non Zai Pair, (Phase explicit.)

Under observation of C3 or C4 (Obs)
Determining Str (giving Str) is determining the view of the observation.

Infinite product of pairs, Primitive Coordinate System (PCS), Real Coordinate System (RCS) Relative Coordinate System (RCS) = Real Coordinate System

(x is any integer)
According to Euler's formula, the real axis and the imaginary axis in imaginary mathematics are orthogonal. Similarly, or as opposed to the ω1 operator (ω operator), the polar side (cos side) and the existing side (sin side) in real mathematics are orthogonal.

Applying UZai to Euler's formula starts with the Primitive Coordinate System (PCS). (N is origin. Uncertainty presence Δ and imaginary number i are equivalent, but their values are different)

Primitive Coordinate System (PCS)
S on the horizontal axis ₁ - a (side) _R Str Zai and S ₂ side (+ side) _L Str Zai exists a, + delta and -Δ are (relative to the horizontal axis standing exists) orthogonal axes Located on both sides of the pole. (Without View, it cannot exist on the G axis)
If the observer is on the horizontal axis, the total product of uncertainty is

The primitive coordinate system created by UZai constitutes a pair on the vertical axis (K axis). On the other hand, the horizontal axis (G axis) constitutes a pair of C3 or C4 StrZai.
Furthermore, the real coordinate system by the Zai continuum is made up of C3 and C4 coordinate systems that use Str Zai.
N's formula is N's formula

therefore,
The horizontal axis continuum is formed by StrZai.
A coordinate system that can unify particle nature and wave nature constitutes a coordinate system by Zai (UZai, _L StrZai and _R StrZai).
The above is
Primitive Coordinate System (PCS)
Is shown.
Moreover,
From the above {continues mode (no View)}

here

The above operation is applied to the following ω operator, but if the field is a conservative field, and the ground state (steady state) is a state with no bias and low energy, the existence of both UZai (-1 and +1) The probability is 50% and 50%, and the fact that they exist in the + field and the-field (conservative field) means that they repeat alternately (inertial frame). Furthermore, if there is no View (observer) , UZai is extremely It means that it is on the axis.

Particle state Particle mode Our World

Antiparticle condition

D: Distributing distribution, B: Bundling bundling (convergence),
UZai continues mode (no View) Rotates when View is removed. Polar wander

The extruding from pF,
MuZai macro mode (View exists, but I'm missing a View. Lost View)

Assuming that the field is a conservative field and that it is a ground state (steady state) with no bias and low energy, the existence probabilities of UZai's ambivalence (-1 and +1) are 50% and 50%, and + field and-. It is most stable when the fields are repeated alternately. Here, if there is a bias in the field such as 51% and 49%, a continuous StrZai is formed on the right or left on the G axis.

Is. In fact, quantum has no observer view. Furthermore, due to the uncertainty principle, the vacuum repeats the generation and disappearance of particles. This creation and annihilation is on the K axis

The creation and annihilation of right and left on the G axis expressed as a result of repeating. If not repeated at 50% and 50%, it will become unstable and the universe will explode. And if it does not rotate in the same Origin, it will still be unstable. Repeated rotations in the same Origin can form a conservative field. The result of observing this real coordinate system that rotates this same Origin is

And the solution {the result of finding the solution by the composition (transformation) by the Taylor series} is

Will be. Here, From figure 1 in reference 1,
Local View

And smooth. It is smoothness.
Relative View

Will be. And, in equation (1),
This formula is

Is from the 1st quadrant (hereinafter, the 1st to [1st, 2nd, 3rd, 4th] quadrants are shown)

(Because it is viewed from the elementary particle side, the G axis appears alternately on the horizontal axis)

It can be seen that the first term above is Euler's formula. Then, the second, third, and fourth terms are, respectively.

Will be. Mixed coordinates of G-axis and K-axis, coordinates unique to elementary particles.
Here, the left-sided multiplier is particularly difficult to see in terms 2 and 4, so it will be expanded below.

Further, the first term and the third term have a conjugated relationship.

The first and third terms, and the second and fourth terms are parallel and can be multiplied in parallel ,.
(Rf is added to the pair, and Lf is continuously multiplied at a constant speed. This state is the conservative field and inertial system.)
Addition at Rf and multiplication at Lf have simultaneity, and the first and third terms, and the second and fourth terms that create the coordinate system are also coaxial multiplication continuums. .. (It is also an Rf addition continuum)
Multiplying the 1st and 3rd terms (note that the calculation is done in the Local field)

that's why,,,
In the second and fourth terms,

Euler's formula was part of the dynamics (modes) (1st and 3rd terms) of the primitive coordinate system (PCS) around AO. Then, when one cycle (4 quadrants, 4 terms) is added, it becomes 0.

If you go further,
1.3.3
It is a continuum of the above phase angle π / 2 (continuum of 4 arrays: continuum of 4 arrays).

Is substituted into the imaginary number i on the left side of Euler's formula (each state is divided by π / 2, and the start phase is described by 4 phases).

this is,
Seen from the cos side sequence, the sin side sequence is advanced by π / 2.
If the cos-side sequence is the first quadrant horizontal axis, the sin-side sequence is the first quadrant vertical axis.
therefore,

{The value in the array is advanced by the operation phase + π / 2 toward the later value.

Forward review}

When the phase of the first term is calculated as θ = 0, π / 2, π, 3π / 2,



1.3.3.1 Start phase θ = 0

If the left side and θ are in this phase, there are 6 Local Views (K, G, Z). (See G, K, and Z axis in Figure 5)

Viewed from from Relative View. I'm watching the GK side from Z. (3 Lv, 1 Rv)
When θ is in this phase, the right side is a series of C4 and C3. There are four Local Views (K, G and +,-).

1.3.3.2 Start phase θ starts from π / 2

If the left side and θ are in this phase, there are 6 Local Views (K, G, Z). (See G, K, and Z axis in Figure 5)}

If θ is in this phase, the right side is the K axis. PCS No1 (Local View has two relative views.)

1.3.3.3 Start phase θ starts from π

If the left side and θ are in this phase, there are 6 Local Views (K, G, Z). (See G, K, and Z axis in Figure 5)

Viewed from from Relative View. I'm watching the GK side from Z. (3 Lv, 1 Rv)
When θ is in this phase, the right side is a continuation of C3 and C4. There are four Local Views (K, G and +,-).

1.3.3.4 Start phase θ starts from 3π / 2

If the left side and θ are in this phase, there are 6 Local Views (K, G, Z). (See G, K, and Z axis in Figure 5)}

If θ is in this phase, the right side is the K axis. (Local View has two relative views.)

1.3.3.5 Summarizing the right side

Will be.
-------- Above old version ------------- Supplementary provisions)
1 Euler's formula generation process

2 On the other hand, trigonometric functions are

3 On the other hand, expΔθ is

Here, [] indicates a repeating part.・ Is parallel multiplication (of the number of parallel relations), × is orthogonal multiplication (of the number of orthogonal relations)
4 The trigonometric function with uncertainty present Δ is

The above E is placed in the macro, as described above.

At the elementary particle level, pEN has (no view, no observer, no observing action).

Will be.
Here, in the uncertainty presence Δ, the distribution of properties based on the complex number a complex number Distribution
k (| a + Δb) = (k | a + kΔb) = k (a | + bΔ) = (ka | + kbΔ)

Bundling bundled with Addition
(| a + Δb) + (| c + Δd) = | (a + c) + Δ (b + d) = (a | + bΔ) + (c | + dΔ) = (a + c) | + ( b + d) Δ.

In the Local field , StrZai

Multiplication Multiplication

× is orthogonal multiplier orthogonal multiplier.

Is a parallel multiplier.
Moreover,
(| a + Δb) (| c + Δd) = | a | c + | aΔd + | cΔb + ΔbΔd = | ac + Δad + Δcb + Δ ² bd

(a | + bΔ) (c | + dΔ) = a | c | + a | dΔ + c | bΔ + bΔdΔ = a | c | + adΔ + cbΔ + bdΔ ²

Pole |

It is the same even if it replaces with.

Multiplication of a conjugate complex number: (Generation of _{L Str)}
(a + bΔ) (a−bΔ) = (| a + Δb) (| a−Δb) = | a ² − | aΔb + | aΔb−Δ ² b ² = | ² a ² −Δ ² b ²

Complex numbers and complex uncertainties are equivalent, and complex numbers and absolute values that can be generated by multiplication of _{L Str Zai A conjugate complex number and absolute value}

Furthermore, Euler's formulas 1 and 3 are in a conjugate relationship,

Absolute value of left hand side is

Absolute value of right hand side is

Regarding Figures 1, 4 to 16, an example of a circle drawn as a triangle as an example Fig. 3,17,18, Japanese Patent Application 2015-35196, 2015-200651, 2015-201199, 2015-201200, 2015-201201, 2015-201206, etc. There is also Fig. 10 (A) UZai
Fig. 10 (B) C3 Str Zai Pair
Fig. 10 (C) C4 Str Zai Pair
Figure 10 (D) C3 Str Zai Pair and UZai
Figure 10 (E) C4 Str Zai Pair and U.Za
Figure of C3 Uncertainty by Infinite Product 11, C3 UZai Pair by Infinite product

Current vertical axis value connected to Origin
(A) + Δ =?

Figure of C4 Uncertainty by Infinite Product 12, C4 UZai Pair by Infinite product

Current vertical axis value connected to Origin
(A) + Δ =?

Uncertainty in the primitive coordinate system UZai See Figure 13.
(A) A-0: UZai, A-1: Transient state of polar connection Kyoku connection, A-2: Attribution
(B) C3 coordinate system Str vs. StrZai Pair.
(C) C4 coordinate system Str vs. StrZai Pair
(D) If equivalence exists are polarly coupled, a double-sized presence is generated instead of a continuous presence.
(E) Orthogonal Zai Pair
(F) Goku Kyoku is |.
The polar plane and the complex plane each have two orthogonal axes connected by Origin.
UZai Sp
When ωd Operatoion {ωd (switch)} is turned ON, there are b Δb (Ex = b ・? =? ・ B, Np = b ・? =? ・ B, Wp = b ・? =? ・ B) ( ωd ON)
bΔ means that the size of Δ is b (Ex = b ・? =? ・ B, Np = ?, Wp = b ・? =? ・ B) (ωd ON)
Δb and bΔ are equivalent, but (Δb = bΔ), meanings are different (Np and Wp are different).
1.4 ωd is OFF; Δb ≡ bΔ, (Np = Wp = b ・? =? ・ B)
?version

n = 0, m any integer. m = Po, m = 1 in primitive state

Np and Wp are recoverable because of the closed poles that exist. (HI → SI)

S? Version
n = 0, m any integer. m = Po, m = 1 in primitive state

The S _{? Is} a template for Str (S ₁ or S _2),

Np and Wp are recoverable because of the closed poles that exist. (HI → SI)

C4Str在対 Str Zai Pair of C4 C4 Str Zai Pair

C3Str在対 Str Zai Pair of C3 C3 Str Zai Pair

以上は、球座標、極座標や直交座標の原始状態でもあります。そして、
Schwarzschild solutionは

( s: 区間interval ,c: 光速度Velocity of light, r,θ,φ:球座標の変数Spherical coordinate, G:重力定数Constant of gravitation, M:質量mass) シュバルツシルト半径の内側は閉じた場である。ゆえにC4系(ブラックホールに対応)またはC3系(ホワイトホールに対応)のRCS上で演算できる。シュバルツシルト半径(a=2GM／c²)をWp=aとし,(Np≠0), (Po=ds²), 重力(計量)をExに代入する, 位相０である特異点ｒ＝０では、
_RStrZai側は,

_LStrZai側は,

RCS C4在対では、

RCS C3在対では、

[r=0] では ds²=0. これは関数SMFによる、基底状態である在対AOからのRelative Origin (Kyoku) (ROK)です. （図１４）(原極に存在するとすれば、それは過渡光です。)
ホワイトホールC3のRCSでも同様です。そしてC3とC4のRCSは、極接続できるので、ブラックホールとホワイトホールは、エネルギー、運動量、物質、そして生命をリンクすることができます。それらの挙動は、RDEなどにより計算できます。
1.1 RDEによる例
1.1.1 相対微分と微分解 RDE and the solution (differentiation solution)

(c: 定数)と仮定するなら、

C4ブラックホールは、
増加系

減少系

となる。C3ホワイトホールなら、(bは、バイアス)
減少系

増加系

となる。
1.1.2 差分解 Difference solution
もし２次関数など他の曲面なら、差分解を適用すれば良い。
2 特異点の消滅、Disappearance of singularity by RDE
f(p)=|p|, (p=0)の場合.
位相 n=0にてRDEのSOC.

^4-6

y=|x|の特異点は、消滅します。The singularity of y=|x| disappears.
3 特異点の無い場合 There is no singularity. (SOC)
f(p)=(p)², (p=0) 従来値と同値 This is conventionally equivalent to the value.

2.3他例
Zai Pairの差分解例; Example of difference solution (Zai pair)
絶対原極 (AOK);

相対原極 (ROK);

BH Art_File BH 18-3W
1 Use of real coordinate system (RCS) ^3-7 in absolute origin (AO) (no function)
Use in AO
Parallel addition in Zai Pair Uncertainty Zai Pair

C4 Str vs. Str Zai Pair of C4 C4 Str Zai Pair

C3 Str vs. Str Zai Pair of C3 C3 Str Zai Pair

The above is also the primitive state of spherical coordinates, polar coordinates and Cartesian coordinates. and,
Schwarzschild solution

(s: interval interval, c: light velocity Velocity of light, r, θ, φ: spherical coordinate variable Spherical coordinate, G: gravitational constant Constant of gravitation, M: mass mass) The inside of the Schwarzschild radius is a closed field. be. Therefore, it can be calculated on the RCS of C4 system (corresponding to black hole) or C3 system (corresponding to white hole). Let the Schwarzschild radius (a = 2GM / c ² ) be Wp = a, and substitute (Np ≠ 0), (Po = ds ² ), gravity (metric) for Ex, at the singularity r = 0, which is phase 0. ,
_{On the R} StrZai side,

_{On the L} StrZai side,

In RCS C4

In RCS C3

In [r = 0] ds ² = 0. This is the Relative Origin (Kyoku) (ROK) from the ground state pair AO by the function SMF. (Fig. 14) (If it exists in the original pole, it is It is a transient light.)
The same is true for RCS in Whitehall C3. And since the RCS of C3 and C4 can be polarly connected, black holes and white holes can link energy, momentum, matter, and life. Their behavior can be calculated by RDE etc.
1.1 Example by RDE
1.1.1 RDE and the solution (differentiation solution)

Assuming (c: constant)

C4 black hole
Increasing system

Decrease system

Will be. For C3 white holes, (b is bias)
Decrease system

Increasing system

Will be.
1.1.2 Difference solution
If it is another surface such as a quadratic function, the difference decomposition can be applied.
2 Disappearance of singularity by RDE
When f (p) = | p |, (p = 0).
SOC of RDE at phase n = 0.

^4-6

The singularity of y = | x | disappears. The singularity of y = | x | disappears.
3 If there is no singularity There is no singularity. (SOC)
f (p) = (p) ² , (p = 0) This is equivalent to the value.

2.3 Other examples
Example of difference solution (Zai pair)
Absolute original pole (AOK);

Relative primary pole (ROK);

は、不確定性原理の‘Et’項における保存場における慣性系です。UZai(対)連続体の総積は

となる.(K, ZとGは、軸名axis nameです nは位相値phase value^{1 and 2}.)

なので、基本的に左辺の振幅(項)は、

となる。
Unified Equation N (UEN)の使用方法は、上記式のUZaiの数を(平行または直交に)増加させる事だけです。
Result
UENにおけるZaiの種類
単不確定性在Single UZai, 直交不確定性在Orthogonal UZai, 平行在対Parallel Zai Pair (PZP, N=2), Str在連続体StrZai continuum (include single StrZai,

),
1 単不確定性在Single UZai (SUZ) (Zai simplex), (N=1) UENとしての, (Ep=1 as above equation value)

1.1 極接続Kyoku connect pC1, pC2, and pC3^1-4
UZai pairは(Δ²= -1) (i²= -1と共役複素数の存在), 我々の宇宙は保存場を示す. 不確定性原理の‘Et’項があります。故に, 単UZai 接続

,

,そして外極outer Kyoku (Fig. 2) { pC3^1,2 極集合体Kyoku manifold (連続体を含む)}.
2 直交UZai Pair (OUZ) (Orthogonal N=2) UENとしての

直交UZai Pairは,またPCS pairでもあります. それらは、極接続で実現します.成り立ちます.
式(1)からの振幅Ep and 位相シフト値は, (see Fig. 1e)

そのEp振幅値は

, その初期位相θ = π/4. (element of OLWを参照)

係数 P_EH (UEN photon 参照), この場合は P_EH = 1.
上記の関係は、以下の不確定性原理をも示す

2.1 These are also synthesizing PCS. これらは、合成PCSでもある。
3 Parallel Zai Pair (PZP, N=2), StrZai continuum (single StrZaiを含む,

),
ここで, 平行在対Parallel Zai Pair ,

ゆえに, 量子としてのあるPZP (そして、より多くのPZP)は、消滅する

UZai pairは、不確定性原理が許す短い時間は存在する。ゆえに, 乗算が生成される.
ゆえに, Quantumからmacroへ (SUZからStrZai 連続体)はresult 2.
Result 2 Quantumからmacro (SUZからStrZai連続体)
1 UENの左辺と右辺 UEN LHS and RHS
左辺LHSは、振幅項amplitude term with UZai Δ continuum (window) そして右辺RHSは原始座標系primitive coordinate system (PCS)項. (C4 は ref 3)
C3

2 RHSは,

偶数のときK軸の値は0 そして

, 奇数はGが0 で K軸値が

.
その右辺RHSは、まとめると,

RCS C3 C4 C3 C4 C3 ( j is even),(9-0)

RCS C4 C3 C4 C3 C4 ( j is even),(9-2)

上記は連続乗算continuous multiplying (continuous multiplication) (内極接続inner Kyoku connected). 上記は, UZaiが波動性wave propertyと粒子性particle propertyをもつことを示す. これは量子からマクロへの一つの構築法one build (construction) wayです. PCSは、４つの異軸でなる断続空間なので、PCS同士は簡単にシンクロする。それは、量子もつれを意味します。
2.1 UENの右辺(RHS)としてのPCS
ゆえに、単体のPCS (単UZai)は、断続波であるが、2つ以上が重なれば、滑らかな連続波となる。それをoverlapped wave (OLW)と定義する. それは、量子からマクロへの構造成長を示す。そして、UZaiは、K軸に位置しているので、G軸の時空の影響を受けない。
さらに、“1.1 極接続pC1, pC2, そして pC3 “UZai pairが(Δ²= -1) (i²= -1 と 共役複素数の存在)なので, 我々の宇宙は、保存場をみせる。しめす。不確定性原理の‘Et’項があります。それゆえに単UZaiが

と

と外極に接続されます。

2.2 右辺RHSの拡張としての在フーリエ変換(ZaiFT)
PCSにおいて、θが、もし連続値をとるなら、そのPCSは、フーリエ変換式を生成する。この時左辺との整合性は、一部(PCSの直交軸２対)を除いて失われる。その右辺を拡張された右辺と定義する。上記の如くまたは、参考文献UZaiのごとくに、拡張された右辺は、４種類存在する。この内、第１項と第３項は、それぞれ、逆フーリエ変換、フーリエ変換を基礎としている事が解る。
2.4 form generator and form definition 形状生成手段と形状定義手段
形状生成手段の一例：UEN第３項の拡張された右辺は、ある形状(ウェーブパケット)とウェーブストリング(の振幅)からなる。それにより、ある関数G(f)が生成される。UEN第１項の拡張された右辺は、その、ある関数G(f)とウェーブストリング(の振幅)からなり、それからどのような形状でも生成が可能である。
ひとつまたは、幾つかの、周波数のウェーブストリングから、どのような形の形状(ウェーブパケット)でも生成が可能である。すなわちK軸上の周波数f空間における、各ウェーブストリング(の振幅)の相対的なエンベロープG(f)がモチーフとなる。あるモチーフが決まれば、ある形状が決まる。そして、どのような形状も再現が可能である。言い換えれば、ある形状の構成要素は、つねにG軸とK軸上のsin項、cos項により決まる各ウェーブストリング(の振幅)の相対的なエンベロープであるモチーフG(f)である。それらは、K軸の外極に存在する連続体とG軸での在連続体の内極を成している。である。G軸空間では、長さWpが要素である球が基本の波長であり、K軸周波数空間では、数Npが要素である周波数となる。
効果：これにより量子からマクロまでの全ての形状設計が容易に可能となる。マクロでの具体例としては、３Dプリンターへの応用、各種CAD/CAMへの応用、製造ラインの一般化などである。量子レベルにおいては、様々な素材の生成、本宇宙内無遅延通信、暗号化通信などである。
形状生成手段は、form synthesizer 形状シンセサイザーと言ってもよい。
2.5
そして、議論３Discussion 3における、他の量子からマクロへの、製造方法,建立法,生成法などの提示。
連続または断続のフーリエ変換も、ひとつの量子からマクロへの製造方法,建立法,生成法。
それゆえ、量子もつれ、２重スリット実験がそれらの演算により明らかにされる。

3 量子の粒子からマクロの粒子、量子から物質へ、一つの製造方法,建立法,生成法
Quantum particle to macro particle (particle to material or matter) (One build (construction) way (quantum to macro). 粒子性と波動性の２方法way、２つの道)
3.1 在連続体Zai continuum
PCSからRCSをもつRDEへは、極接続している。RDEは、上記PCSの在により生成されたStrZaiによりつくられている. 束ねと分配という動作をもつ(極接続している)在連続体は、ViewをもつマクロRCSである。もし、ほんの少しの偏りがあれば、StrZaiは、UZaiから生成されるでしょう。UZaiは、不確定性原理の‘Et’項による、ほんの少しの時間で存在します。

は、波の特性をもっていない。それは、物質です。そのStr演算子は、束ねと分配を可能にする
3.2 RCSは、束ねと分配をする。The RCS have bundling and distributing^{1, 2}.
3.3 相対場での平行在対Parallel Zai Pair in relative View (Rv),

3.4 Po 空ポテンシャル Po
もし、在が空時連続体をつくるなら、在にPoが与えられる。これが、物質選別手段です。
{N は、ゼロ次元空間, τは、τ時τ time(固定された時)}

n と m は位相値, t は時, τ は 固定された時、τ 時です。 ΔはUZai. Strは、Str演算子Str Operator (Viewを内蔵). {τはτ 時ポテンシャル. n と mは位相(値). m は位相ポテンシャルphase Potentialでもある. t_a は、初期時initial time. t_n は、位相ｎの時. τ_nは位相ｎのτ時τ_time. }^1-4 {τは粒子片のポテンシャルです。そしてもし白血球が一例として言及されるなら、τ時単体の画像の直径と等しいです。} ポテンシャルPoの例は、空間、時、時間、時刻、質量、重力、電荷、磁荷、強い力、弱い力、電磁力、エネルギー (space, time, mass, gravity, electric charge, magnetic charge, strong force, weak force, electric-magnetic force, and energy etc)などです。。
内極の乖離は、最も強い力を要します。弱い力は、極接続力です。
3.5 RDEの解 Solution^1-4 of RDE

ゆえにマクロでのUENは、, (N は、オブジェクト数 number of object.)

3.6 それらの極接続 Kyoku connect
これらの合成PCS, RCS, RDE,と他の在による式はKyoku connectにより実現される。これらの連立性と号税は、極接続により実現される。
4.7 Gravity (Force) [see StrLC in ref 1] (relative force value: 10^-39, Interaction distance: ∞, DC component in outer Kyoku (oK), If graviton exist, it is ΔgPo. Zai equation of motion)
External force for Kyoku

t (time) (toki) is Zai continuum. (M is mass. “g” is gravity acceleration. y is distance. t is time)
Single Zai

Zai continuum:

はPoとしての重力加速度; v₀ は、Poとしての速度、 y₀ は、Poとしての距離

(Definitions S2 and S3 in ref 1),
5 RCS (RHSとしてのPCSを含む)
RCS (UENのお拡張RHSとPCSを含む)は、自由に、関数を使用できる。従来のような関数の制限が殆ど無い。それらは、ラグランジュやゲージ理論の制限を持たない。さらに、PCSは、簡単に、素粒子の動的状態を表現できる。そして、PCSは、マクロRCSへと発展する事ができる。さらに、それは、ZaiFTへと拡張できる。(UENの拡張RHSは、ZaiFTとなる) さらに具体的に、PCSは、線対称性、点対称性、を確保しています。
そして、外極により決定される別々の異空間同士のような、非対称な空間の互換性も有しています。

Discussion 1
Poを持つUZaiは、素粒子を示す。もし在がPoを持つなら、それは、様々な粒子に変化する。素粒子は、空Poの種類であるxPoで区別される。(x は、個々の素粒子に特有な性質文字(名)です。)
1 UEN光子、UEN photon {直交UZai, Orthogonal UZai (N=2)}
Photon relations は、

ここでNは、粒子の構成個数、もしN個なら,

そして、極と在により示されるこの式は、

In this case, εE²とμH² は、電磁波の各々のPo. P_EHは電場と磁場の合成後のPo. その式は、直交不確定性在対Orthogonal UZai Pairを示します。ゆえに、式 (11)と式(12)は、OUZ pairの1/2と主張します。{Orthogonal UZai (N=2)}
LHS (13) は,

RHS (14) は,

上記の式は、オイラーの公式の第1項と第3項です。
ここでN=1なら(座標情報は、省略)

2 様々な粒子は、Poにより継承されます。

Discussion 2
1 Poとしての時、時間 Time as Po

量子式UENには、上記の方法と結果において、時の項はありません。時と空は、Poにより与えられます。ここで、もし θ に時を与えると、
1.1 θからの記述例

{E: ある粒子のエナジーenergy of a certain particle (acp), v: ある粒子の速度velocity of acp, m: ある粒子の質量mass of acp, h: プランク定数Planck constant

, t: 時time, ν: 周波数frequency, k; ボルツマン定数Boltzmann's constant (

), T; 絶対温度Absolute temperature, j: 観察軸と同じ平行運動している粒子の数The component number of particles same parallel movement on an observation axis,}
1.1.1 単在 N=1, Single Zai
j=1, and

1.1.2 直交在 N=2, orthogonal Zai Pair
j=

, and

1.1.3 平行在 N=2, Parallel Zai Pair
j=0, θ= 0, 波動性なし no wave property
2 位相エナジー Phase energy Ep
SUZ Ep=1 (Fig. 1a), OUZは,

3 不確定性原理のトレードオフThe trade-off of an uncertain principle,
不確定性原理のトレードオフは,

この値は、J.Erhart et al.⁹の実験と同じです。さらに、もし

が、不確定性における、位置θ=f(t)の原始変数として、それを、考えるなら、

は、時の原始変数となる。
他方、位相エナジーEpが運動量とエナジーの原始変数である。ゆえに、不確定性原理における、源の変数は、(θ＋Ψ)である。もし粒子生成の時における位相θが既知なら、対形成(対生成)の時である位相Ψは、系統的システマティックに制御できるので、不確定性は消滅する。
4 不確定性原理の“E t”関係とオイラーの４項公式
“E t” relationship of the uncertainty principle and four term Euler formula
不確定性原理の“E t”関係が共役複素数連続体(CCNC, はUZai continuumと等価)を、生成する場合、表す場合、それは、オイラーの４項公式の右辺の結果と同じです。それは、内極接続した連続乗算を示します。
5 加算と乗算 addition and multiplication
UEN{Zai(平行連続体 PCZ) (N=2j: 偶数) (N≧3j: 奇数), j は自然数} (加算と乗算、同時性)² 相対場(Rfは相対Viewを含む)による加算におき、そして局所場による乗算または極接続は、同時性をもつ。それは、実座標系を生成します。そのRCSは、真の自然(我々の世界)です。加算は、相対Viewに必要です。UZaiはViewを持ちません。乗算は、滑らかさに必要です。
6 StrZaiは, G軸上に存在しViewを所有します。しかし、StrZaiからViewを取り除くと、UZaiとなり、それはK軸上に存在します。移動します。それゆえUZaiは、G軸の時空間に影響を受けません。

Discussion 3, 別の建立, 製造方法, 生成法 Another build (construction) way (quantum to macro)
量子からマクロ全域における、波のみによる、ひとつの建立, 製造方法, 生成法.
The build (construction) way is the global of quantum from macro¹³.
3.1 量子連続波Quantum continuous wave,とマクロ連続波 macro continuous wave そして、
粒子物質particle (matter)
在は、以下の連続または断続のフーリエ変換(逆変換)式により親形態(どんな形でも)を生成できる。その親形態はmotif を形成するでしょう。¹² {g(s)は、とある形です。¹³, ‘s’ は、独立変数としての空space または 時timeです。(一例として 長さの尺度をもつx, y, または/と z など), G(f) は、とある空間または時間周波数パターンにおける振幅です。(θ=2πfs)} それは在のWpにおける課題(問題)です。 PCSが複数、原極で動的に同期する場合、時、それは相対的連続波となる。これは、ひとつの量子からマクロへの建立、生成過程です。

Integration of the UEN RHS is,
UEN RHSの統合は、
{ここで原式と違うのは, 原式のθは、 Z axis上にあったが、ここでは、G軸上の‘s’に移行する。 すると、オイラーの公式(θ on Z axis)とは、異なる式(θ on G axis)となる。左辺は使用できない。 } {K axis上のpC1としての宇宙は閉じた空間です。 (Figure 2).}
波(f)から物質(s)へ From wave (f) to substance or matter(s)

物質(s)から波(f)へ From substance or matter (s) to wave (f)

3.2 量子断続波Quantum intermittent waveとマクロ断続波macro intermittent waveと粒子、物質particle (material or matter)
When there are few PCS, it is intermittent wave. This is one build (construction) way (quantum to macro). There is only wave which is one way. {f(n)はある形状, ‘n’ は空または時で独立変数 (一例は、x, y, または/と z 次元は長さなど), F(k) は、空間周波数パターンや(時間)周波数パターンの振幅, k は、空間または時間における周波数}
断続波intermittent wave(k)から断続物質intermittent substance(n) or matter(n)へ

断続物質intermittent substance(n) or intermittent matter(n)から断続波intermittent wave(k)へ

原極での極同期による複数のPCSがある場合、それは連続波となります。
2.2.1 ZaiFt continuum 在フーリエ変換連続体
g(s)は、形状（ウェーブパケット, 波束）です。‘s’は、空間または時間です。独立変数です。一例として時として‘t’ (time), 空間(長さ)としてx, y, と/または z などです。
G(f)は、空間、時間周波数パターンの振幅です。 G(f)は、ある周波数のウェーブストリング（WS）(群)に、周波数成分分解する事ができます。 G(f)は、ある周波数のWS群です。f は、空間または時間における周波数(θ=2πfs) 一方、原極における動的極同期による複数のPCSは、相対的連続波を生成できる。
拡張UEN RHSの積分(統合)は、逆フーリエ変換とフーリエ変換です。｛しかし、１次元において、Z軸上のθが、G軸上の‘s’やK軸上の‘f’に移行します。ゆえにオイラーの公式(Z軸上のθ)とこのフーリエ方程式(K軸や G軸上のθ)は違うものです。そのLHSは、直交軸以外、使用できません。｝{K軸上のとしての宇宙は閉じた空間です。(Figure 2)} ここで、‘s’, ‘f’, ‘G’ and ‘K’は、多次元の表記です。
G(f)から形状g(s) [j次元,

]

ウェーブストリングWave string (WS) 複数形wave strings (WSs)

各々の周波数

におけるWSの振幅集合体であるモチーフ関数（生命の定義のひとつ）

Koは、K軸上の従属変数です。Kiは、K軸上の独立変数です。Goは、G軸上の従属変数です。Giは、G軸上の独立変数です。KcはK軸上の、GcはG軸上の座標軸です。
この式は、形状生成手段(形状シンセサイザーform synthesizer)の基礎方程式です。
aKとaGの‘a’は、複合平面(K軸とGによる)(虚数学での複素平面極座標)の振幅を示す。{G(f): 1つ以上の周波数のウェーブストリングの振幅集合体関数}
内極(iK)による円周(球周)は、2πの１波長から成ります。より詳細には、WTLなどにおける内極iK [ ]が、円(球) (内極周囲場は 2π)であるなら、外極oKの１波長となります。

MLLの内極iKは、外極としての同じ3次元ウェーブストリング集合体をとります。
The iK of MLL takes the same three-dimensional wave string manifold as oK.
複合平面の複合値は、GとK、２つの直交位相構成要素に分割されることにより計算され、そして複合平面の複合値は、結合される。それらは、２つの直交位相構成要素に分割され計算された後に結合される。もしこの式が１次元なら(j =1),

形状(ウェーブパケット) g(s)から, G(f)へ

１次元なら (j =1),

2.2.2 ZaiFt intermittent 離散ZaiFt, 断続ZaiFt
PCS は、断続波です. {f(n)は、形状¹³, ‘n’は、独立変数の空間または時間(一例として長さとしてのx, y, または/と z), F(k)は、空間または時間周波数パターンの振幅。k は、空間または時間周波数}
From intermittent F(k) to intermittent form f(n)
離散(断続)F(k)から離散形状f(n)

From intermittent form(n) to wave(k)
離散形状f(n)から離散(断続)F(k)

2.3 (逆)フーリエ変換が示すG軸とK軸の性質

が、外極oKにおける閉じた波であるなら、方向性は、不確定性です。K軸は、波でできています。‘s’が、実ポテンシャル(空Poのひとつ)なら、方向性が明確です。K軸はG軸の次元分の１の次元をもっています。 もし、G軸が次元T(時)ならK軸の次元は、１／T(周波数)です。また、G軸の次元がL(長さ)ならK軸の次元は、１／L(空間周波数)です。さらに、G軸が時間と空間なら、K軸は、周波数と空間周波数です。それは、粒子と波の関係でもあります。もし、ある物体(粒子や物質)が、G軸上のWpにおいて位相幅(位相長)が１０なら、K軸上での位相数Npは、位相周波数(位相数)１０となる。内場は、外場の(IDO)とIOSFにより描画(定義)される。
Wp & Np

内極iKは、外極oKの波動性を有する。
2.4 form generator and form definition
UEN第３項の拡張された右辺は、ある形状(ウェーブパケット)とウェーブストリング(の振幅)からなる。それにより、ある関数G(f)が生成される。UEN第１項の拡張された右辺は、その、ある関数G(f)とウェーブストリング(の振幅)からなり、それからどのような形状でも生成が可能である。それはモチーフでもある。
ひとつまたは、幾つかの、周波数のウェーブストリングから、どのような形の形状(ウェーブパケット)でも生成が可能である。すなわちK軸上の周波数f空間における、各ウェーブストリング(の振幅)の相対的なエンベロープG(f)がモチーフとなる。あるモチーフが決まれば、ある形状が決まる。そして、どのような形状も再現が可能である。言い換えれば、ある形状の構成要素は、つねにG軸とK軸上のsin項、cos項により決まる各ウェーブストリング(の振幅)の相対的なエンベロープであるモチーフG(f)である。それらは、K軸の外極に存在する連続体とG軸での在連続体の内極を成している。である。G軸空間では、長さWpが要素である球が基本の波長であり、K軸周波数空間では、数Npが要素である周波数となる。
ゆえに、在は、連続フーリエ(逆)変換式により親形態を発生できる。その親形態(全ての形態)は、モチーフを構成しうる。
これらは、UENを利用したモチーフの作り方でもあるし、また当業者ならモチーフを容易に作成できる。

2.5原極(Kyoku origin)による、いくつかのPCSが存在する場合、それは連続波を生成する。
2.6 -∞ to +∞：電磁波は、外極(oK)の閉じた無限にて、存在する
Origin to origin 原極から原極: 絶対原極から絶対原極に対し、外極の無限のウェーブストリングが存在します。 ゆえにある周波数のウェーブストリングは、周波数構成要素ごとに分解分類できる。そしてそれは、外極(oK)の閉じた無限に存在する。{外極において、ある物体形状がフーリエ積分により表現することができる。(ref 13)}
ゆえに、2重スリット実験の可視の波が存在する空間(エリア)において、飽和エネルギーの連続波(パケット)が存在する場合、光源の出力を落とし１光子分の出力をした場合、短い時間が積み上げられ、エネルギーが連続波と同じになった場合、到達した場合、UZaiの存在確率に従って、その両者(wave packet)は、同等となる。
3 UZai, four force and changing the kind of a quark and lepton
UZai ４つの力とクォークやレプトン種への対応、変化
3.1 素粒子Elementary particleは、UZai Δ.
3.2 二次粒子Secondary particles は、Zai Po (ΔPo).
The Number of particles 粒子番号
Po_jにおいて, その ‘j’が粒子番号です。
Various particles do inheritance derivation by xPo.
Poを持つUZaiは、粒子と波を示します。もし、在が様々なPoを有すなら、様々な粒子と波に変化、対応します。素粒子は、空Poの一種であるxPoにより区別します。[その‘x’は、ここの粒子や波に対して特有な文字で記載します。{例としてpPoは、光子Po (photn Po). Po₁ や Po₂ の番号は、２つの同じ粒子です。 pPo₁ と pPo₂ は、２つの光子です。}]
3.3 強い力(nuclear)Strong force (相対力値: 1, 作用距離: 10^-15m, 例:Gluon)
内極(iKs)同士の結合力

内極(iK)の解離力
Δ→| |
3.4 弱い力Weak force (相対力値: 10^-5, 作用距離: 10^-17m, 例: Boson,
ΔkPoのPo変化力(クォークやレプトンの種類を変化させる力)
ΔxPo→ΔyPo
3.5 電磁力Electromagnetic force (相対力値: 10^-2, 作用距離: ∞, 外極のAC成分, 例: UEN photon, ZaiFT)
3.5.1 UEN photon UEN光子 {直交UZai (N=2)}
光子の関係式

において
ここで、Nは、構成粒子数だと

この式を、極と在により示すと

この場合、εE²とμH²は、電磁波の個々のPoです。P_EHは、電場と磁場の合成Poです。その式は直交UZai対を示しています。ゆえに式(11) and (12)は、OUZ対の１/２の式と、言えます。{直交UZai (N=2)}
LHS (13) は,

RHS (14)は,

-----------------------------------------------------------------------------------------------------

, なら

(20)上記の式は、オイラーの公式における第１項とだい３項である。ここで、N=1、(座標情報は省略)

Discussion 4, 内場が描く(定義する)外場であるIDO｛Inner filed draws (defines) outer field (IDO)｝と内極と外極の同期場であるIOSF｛IOSF (Inner Kyoku-and-Outer Kyoku Synchronous field)｝
IDO (場)と相対微分 IDO (field) ^1-4 and relative differentiation
その在(素粒子)自身は場を形成することができるので、IDOはゲージ理論(場)を必要としません。Since the Zai (elementary particle) itself is able to form a field, IDO does not need Gauge theory.
さらに、IDO場は、IOSFでもあります。ゆえに、相対微分relative differential equation (RDE)は、従来の座標系に依存しません、影響されません。RDEは、無限小実数の影響をうけません。
Discussion 5, relationship of Clay Millennium prize Problems (CMP)
5.1 Perfect answer of CMP^{1, 2}
クレイミレニアム問題における滑らかさ問題(Fefferman et al., 2000)の完全な答えは、

これは、完全な滑らかさです。 このStrZaiを持たない現在のNSEは、滑らかで無い。
5.2 P=NP問題CMPｓの一つの答え
WTL 連続体は、(特にMLC¹) は、P=NP 性質をもっています. これは、P=NP問題のひとつの答えです。
5.3 Yang Mills and Mass Gap problem¹¹ in CMPsについて
UZaiとMuZaiは、Mass Gapの上位概念です。 それらは、実数学の原始演算子です。在の閉じた内極の解離力は、強大な力を要する。
5.4 proposals to imperfect other problems
The all problems of CMPs should distinguish the area of the real mathematics and imaginary mathematics and should be given to us.
Discussion 4
Two big methodologies, Reductionism (particle property) and Holism (wave property) by UEN UENによる要素還元論(粒子性)と全体論(波動性)の２大方法論
フーリエ変換により,波群G(f)から形成される物体g(s)は,形状(空間または時間)を成します.そして,その波群G(f)は,周波数パターンで示されます.従って,式(24)と(27)は,(生成された)物体として認識されます.そして,(25)と(26)は,空間波または時間波の解析(結果)として認識されます.
第１項と第３項

第２項と第４項 (そのRAOは、「１」で一定)

式(8)は、要素数pENのためのフーリエ変換式の要素(基礎骨格)でもある。

Conclusion
1 上記のごとく、マクロの要素から作られた原始演算子は、同時に、量子のレベルで使用可能である。そして、少なくとも、その二者のレベルの違いは, View(演算子)を除いて見当たらない。(階級は感じられない。)
2 UENは、波動性と粒子性をもつ統一式です。そのUENの左辺は、振幅項です、そして右辺は原始座標系です。
3 UENは、マクロ要素(水処理白血球)よりつくられた原始演算子から継承派生した式です。
4 位相エナジーEpとこの式の値であるθとを計算したUENを基礎に生み出された相対式は、不確定性をあらわす。
5 UZaiによるPCS生成
PCSは,macro RCSを生成します. そのRCSは、物質substance (matter) (粒子)です. 他方で, PCSは波を生成します。. UZaiの存在確率The existence probabilityは50%-50% (

)です. もしUZaiが、完全な保存場で存在するなら、その値は{50%-50%: (

)}です. もし、保存場が崩壊するなら, UZai pairの存在率は変わります。(例えば 49%-51% など). それをfluctuation produces PCS to macro RCS (FpPR) (quantum to macro)とします。FpPRは、物質生成場です。その場を人工的に作り出すと物質生成手段となります。
6 連続乗算の存在 Existence of continuous multiplying (continuous multiplication)
複数の在の結合は、量子からマクロへの連続乗算です。
The connected multiple Zais is continuous multiplying (continuous multiplication) in quantum to macro.
それは、数学的に滑らかです。その連続乗算は、PCSを生じます。そして、PCSは、RCSを生成します。それは、不確定性原理での“Et”関係とオイラーの項式から証明されます。具体的に、PCSは、不確定性原理での“Et”関係として観測されたなら、在の連続乗算が証明されるでしょう。UZai連続体は、

です.
連続加算と連続乗算Continuous addition (and continuous multiplication),

これは、極限と無限小(実)数の存在を示しています。なぜなら時間ｔは、水処理白血球のような閉じた極としての閉場を持っていますから。言い方を変えると不確定性原理のEｔ項におけるエネルギー値におき,それは出現します。ゆえに、不確定性原理のEｔ項における短い時間において、乗算は、加算よりはやく起きます。優先されます。

極Kyokuは、無限小実数に影響を受けません それはRDEもです.不確定性原理のEｔ項における短い時間において不確定性在対は、乗算します。

以下の式はFpPRにより生成される

旧バージョン UEN
Unified Equation N (UEN) 左辺UEN θ=2πνt_n

ここで各項は,
波動性項

そして、前記後記式より、この右辺UENは、原子レベルの項(素粒子レベルの発現式)をなす
さらに、

のごとくに４状態の繰り返し、
すなわち、
オイラーの公式としての第１項、さらに２項、オイラーの公式３項、そして、４項にて、PCSとして連続的に振る舞う。

, n, m, γ, t, τ, Δ

は粒子数を示す. ｎやｍは位相の値、γは速度係数、ｔは時間、τはτ時であり、固定された時間である。後述参照。StrはStr 演算子(Viewから求まる)
粒子数が十分多いと粒子状態はNSEにより示されるt_a は初期値initial time. t_n は位相ｎの時の時間τ_nは位相ｎでのτ_time
単在：UENでの単在 {N1 Single (N=1)}は、

または

のいづれを使用してもよい。前記(Δ)²=+1参照

(そのEp値は1, その初期位相値θ = π/4.) θ=2πνt (ν: frequency), {2πνt±t_n/τ}
波動性を見いだせる.そして、その周波数は、(t/τ)・n分変動する。
ν> 100 Hzならt/τ項が無視できる。時が１００時程度以上経過しているならt/τ項が無視できる。τは,粒子一個の空ポテンシャル,白血球ならτ時間単位の画像における直径に相当する.
ここで、UZaiの項は、

この式の特性は２つの波である
UENでの直交在対Orthogonal UZai Pair
UEN (Orthogonal N=2)

UEN {N2 orthogonal (N=2)}

(Ep値は

, 初期位相値はθ = π/4)、ここで、繰り返しの４状態は、

直交在対Orthogonal UZai Pair は波動性wave propertyをもつ.
もし、直交在対の合成が始まったとしたら素粒子が爆発的に増減してしまう。

となってしまう. ここで平行在対Parallel Zai Pair または状態C1からC4 のStr在対Str_Zai Pair (平行連続体 N = ２以上)、繰り返しの４状態は、

UENでの平行連続体 {平行連続体parallel continuum (N≧2)}

(そのEp値は1, その初期位相 θ = 0.) この右辺UENの項は、発展項(マクロレベルの項)を示す。
N2平行在 N2 Parallel Zai

在は回転せず、波動性は消失する
θの一例

{E:あるparticle (acp)のエネルギー, v:acpの速度, M: Mass of acp, h: プランク定数

, t: time, ν:周波数, k:ボルツマン定数(

), T絶対温度}
j:観察軸上における,同じ平行した動きの粒子が構成する数 (この式は在と極が示しにくい)
ここで(vは斜体)
N=1 である 単在Single Zai
j=1,

N=2 である 直交在対orthogonal Zai Pair
j=

, and

N=2 である 平行在対Parallel Zai Pair
j=0, θ= 0, 波動性なし


Unified Equation N (UEN) 統一式N
pENが真の素粒子であり、この部品を使用して作成する演算手段が最も小さな演算手段となる。

直交在対の初期値Ep
横軸にG1縦軸にG2をあてるとして、Epは

(Ep,π/4)が初期値、保存場として対が存在するなら(Ep, 5/4π)に対が存在する

Ψは、出会い位相、Ψの同期が量子もつれとなる。
単在は、

これらにより在演算手段による遠距離通信手段や暗号化手段の一例であり、後述の実施例に従い、当業者なら、光子などの波動性を有する素粒子を部品とした在演算手段による回路形成は極めて容易である。
不確定性のトレードオフは,

以上ゆえに不確定性が消滅して精度が向上する
N= 1、N=2(直交在対)までが素粒子、N=2平行在対(短時間は素粒子対),N≧２在連続体は,粒子となる。
これにより回路設計が確実、容易となる。
原始演算子Primitive Operator は、Zai (Inner Kyoku), Kyoku (Outer Kyoku), Po and Str etc. などであり、それらは実数学Real Mathematicsにより記述できる。
内極による在 Zai (by Inner Kyoku)

単在Single Zai N=1による演算手段の一例
単在の例としては、光子、電子などがある。
光子の例。図１５のごとくの在と極による回路を形成する。
それらの関係は

N 個なら,

極演算手段と在演算手段では,

UEN in Nature World
光子の直交UZai Pairは、光子の式より1/2 of Zai Pairとなり、

繰り返しの４状態は、

となる。
この場合εE²とμH² は空ポテンシャルPoであり、電磁波をなす. この式の要素エネルギーelement (energy)は1/2Δに存在する.
N=1 なら

であり、後述の実施例に従い、当業者なら、光子を部品とした在演算手段と極演算手段による回路形成は極めて容易である。

電子Electronを単在の一例として開示する。

であり、後述の実施例に従い、当業者なら、電子を部品とした在演算手段と極演算手段による回路形成は極めて容易である。

N=2 (N≧2)クォーク複合体から物質 a quark complex to a substanceによる一例
G軸上の直交在対Orthogonal Zai Pair N=2は、バリオンを部品とする一例であり、後述の実施例に従い、当業者なら、バリオンを部品とした在演算手段と極演算手段による回路形成は極めて容易である。

平行在対Parallel Zai Pair N=2による一例
G軸上の平行在対A Parallel Zai Pair on G axisはメゾンMesonを部品とする一例であり、後述の実施例に従い、当業者なら、メゾンを部品とした在演算手段と極演算手段による回路形成は極めて容易である。メゾンは、以下のごとくに寿命が短いので、取り扱いに注意が必要である

グルーオンは、在の内極を、開く力である。
Mass Gapは、単不確定性在から継承派生できる。
RDEは、座標系に依存しないので、ゲージ場を必要としない。RCSは、ゲージ変換はもとより、実世界におけるほとんどの関数を使用できる。量子からマクロまで、

以上の各手段は、現象解析を適確に行え、物質設計を可能とし、物質生成を行える。

UEN Unified Equation N (UEN) (Art_File UEN 18-C34E W photon K3)
New version
Methods
In the multi-phase four term equation (MpFtE),
The 1 ^st and the 3 ^rd Koshiki is the Left Hand Left hand side (LHS) is {(including single Zai) uncertainty stationary continuum UZai Δcontinuum} amplitude term (Amplitude term) with UZai Δ window right right The hand side (RHS) is the primitive coordinate system (PCS).] Its uncertain pair UZai pair (Δ ² = -1) continuum

Is the inertial frame of reference in the conservation field in the'Et'term of the uncertainty principle. The infinite product of the UZai (pair) continuum

(K, Z and G are the axis names axis name n is the phase value phase value ^{1 and 2.} )

So basically the amplitude (term) on the left side is

Will be.
The only way to use Unified Equation N (UEN) is to increase the number of UZai in the above equation (parallel or orthogonal).
Result
Types of Zai in UEN Single UZai, Orthogonal UZai, Parallel Zai Pair (PZP, N = 2), Str Zai continuum (include single StrZai,

),
1 Single UZai (SUZ) (Zai simplex), (N = 1) As UEN, (Ep = 1 as above equation value)

1.1 Polar connection Kyoku connect pC1, pC2, and pC3 ^1-4
The UZai pair is (Δ ² = -1) (i ² = -1 and the existence of the conjugate complex number), our universe shows a conservative field. There is an'Et' term of the uncertainty principle. Therefore, a single UZai connection

,

, And the outer polar outer Kyoku (Fig. 2) {pC3 ^{1, 2-} pole aggregate Kyoku manifold (including continuum)}.
2 Orthogonal UZai Pair (OUZ) (Orthogonal N = 2) As UEN

Orthogonal UZai Pairs are also PCS pairs. They are realized by polar connections.
The amplitude Ep and phase shift value from Eq. (1) is (see Fig. 1e).

Its Ep amplitude value is

, Its initial phase θ = π / 4. (See element of OLW)

Coefficient P _EH (see UEN photon), in this case P _EH = 1.
The above relationship also shows the following uncertainty principle:

2.1 These are also synthesizing PCS. These are also synthesizing PCS.
3 Parallel Zai Pair (PZP, N = 2), StrZai continuum (including single StrZai,

),
Here, Parallel Zai Pair,

Therefore, some PZPs (and more PZPs) as quanta disappear.

UZai pair has a short time allowed by the uncertainty principle. Therefore, multiplication is generated.
Therefore, from Quantum to macro (SUZ to StrZai continuum) results 2.
Result 2 Quantum to macro (SUZ to StrZai continuum)
1 Left and right sides of UEN UEN LHS and RHS
The left side LHS is the amplitude term with UZai Δ continuum (window) and the right side RHS is the primitive coordinate system (PCS) term. (C4 is ref 3)
C3

2 RHS,

When even, the K-axis value is 0 and

For odd numbers, G is 0 and the K-axis value is

..
The RHS on the right side can be summarized as follows:

RCS C3 C4 C3 C4 C3 (j is even), (9-0)

RCS C4 C3 C4 C3 C4 (j is even), (9-2)

The above shows continuous multiplication (continuous multiplication). The above shows that UZai has wave wave property and particle particle property. This is one construction method from quantum to macro. One build (construction) way. Since PCS is an intermittent space consisting of four different axes, PCS can easily synchronize with each other. It means entanglement.
2.1 PCS as the right-hand side (RHS) of UEN
Therefore, a single PCS (single UZai) is an intermittent wave, but if two or more overlap, it becomes a smooth continuous wave. We define it as an overlapped wave (OLW). It shows the structural growth from quantum to macro . And since UZai is located on the K axis, it is not affected by the space-time of the G axis.
Furthermore, since “1.1 polar connections pC1, pC2, and pC3“ UZai pair is (Δ ² = -1) (i ² = -1 and the existence of conjugate complex numbers), our universe shows a conservation field. Shimesu. There is an'Et'term of the uncertainty principle. Therefore simply UZai

When

And is connected to the outer pole.

2.2 Fourier Transform as an extension of the right-hand side RHS (ZaiFT)
In a PCS, if θ takes a continuous value, the PCS produces a Fourier transform equation. At this time, the consistency with the left side is lost except for a part (two pairs of orthogonal axes of PCS). The right side is defined as the extended right side. As mentioned above, or as in reference UZai, there are four types of extended right-hand sides. It can be seen that the first and third terms are based on the inverse Fourier transform and the Fourier transform, respectively.
2.4 form generator and form definition Example of shape generating means and shape defining means: The extended right side of the UEN term 3 consists of a certain shape (wave packet) and wave string (amplitude). As a result, a function G (f) is generated. The extended right-hand side of the UEN term 1 consists of its function G (f) and the wavestring (amplitude), from which any shape can be generated.
Any shape (wave packet) can be generated from one or several frequency wavestrings. That is, the relative envelope G (f) of each wave string (amplitude) in the frequency f space on the K axis becomes the motif. Once a certain motif is decided, a certain shape is decided. And any shape can be reproduced. In other words, the component of a shape is the motif G (f), which is always the relative envelope of each wavestring (amplitude) determined by the sin and cos terms on the G and K axes. They form the inner pole of the continuum existing at the outer pole of the K axis and the continuum existing at the G axis. Is. In the G-axis space, the sphere whose element is the length Wp is the basic wavelength, and in the K-axis frequency space, the frequency Np is the element.
Effect: This makes it easy to design all shapes from quantum to macro. Specific examples of macros include application to 3D printers, application to various CAD / CAM, and generalization of production lines. At the quantum level, it includes the generation of various materials, non-delayed communication in this universe, and encrypted communication.
The shape generating means may be called a form synthesizer shape synthesizer.
2.5
Then, in Discussion 3 Discussion 3, presentation of manufacturing method, erection method, generation method, etc. from other quanta to macro.
Continuous or intermittent Fourier transforms are also one quantum-to-macro manufacturing method, erection method, and generation method .
Therefore, the entanglement and double slit experiments are revealed by those operations.

3 From quantum particles to macro particles, from quantum to matter, one manufacturing method, erection method, production method
Quantum particle to macro particle (particle to material or matter) (One build (construction) way (quantum to macro).
3.1 Zai continuum
There is a polar connection from PCS to RDE with RCS. The RDE is created by StrZai generated by the presence of the above PCS. The continuum with the operation of bundling and distribution (polar connection) is a macro RCS with View. If there is a slight bias, StrZai will be generated from UZai. UZai exists in a fraction of the time due to the'Et'termin of the uncertainty principle.

Does not have wave characteristics. It's a substance. Its Str operator allows bundling and distribution
3.2 RCS bundles and distributes. The RCS have bundling and distributing ^{1, 2} .
3.3 Parallel Zai Pair in relative View (Rv),

3.4 Po Sky Potential Po
If the existence creates a space-time continuum, the existence is given Po. This is the substance sorting method.
{N is zero-dimensional space, τ is τ time τ time (when fixed)}

n and m are phase values, t is hour, τ is fixed, τ hour. Δ is UZai. Str is the Str operator Str Operator (built-in View). {τ is the potential at τ. N and m are the phase (value). M is also the phase potential phase Potential. T _a is the initial initial time. t _n is the time of phase n. τ _n is the time of τ of phase n τ_time.} ^1-4 {τ is the potential of the particle piece. And if white blood cells are mentioned as an example, they are equal to the diameter of a single image at τ. } Examples of potential Po are space, time, time, time, mass, gravity, charge, magnetic charge, strong force, weak force, electromagnetic force, energy (space, time, mass, gravity, electric charge, magnetic charge, strong). force, weak force, electric-magnetic force, and energy etc). ..
The divergence of the inner pole requires the strongest force. The weak force is the polar connection force.
3.5 RDE Solution ^1-4 of RDE

Therefore, the UEN in the macro is, (N is the number of objects.)

3.6 Those polar connections Kyoku connect
These synthetic PCS, RCS, RDE, and other existing expressions are realized by Kyoku connect. These simultaneousity and taxation are realized by polar connections.
4.7 Gravity (Force) [see StrLC in ref 1] (relative force value: 10 ^-39 , Interaction distance: ∞, DC component in outer Kyoku (oK), If graviton exist, it is ΔgPo. Zai equation of motion)
External force for Kyoku

t (time) (toki) is Zai continuum. (M is mass. “G” is gravity acceleration. y is distance. T is time)
Single Zai

Zai continuum:

Is the gravitational acceleration as Po; v ₀ is the velocity as Po, y ₀ is the distance as Po

(Definitions S2 and S3 in ref 1),
5 RCS (including PCS as RHS)
RCS (including UEN's extended RHS and PCS) is free to use functions. There are almost no restrictions on functions as in the past. They have no restrictions on Lagrange or gauge theory. Furthermore, PCS can easily express the dynamic state of elementary particles. And PCS can evolve into macro RCS. In addition, it can be extended to ZaiFT. (UEN's extended RHS becomes ZaiFT) More specifically, PCS ensures line symmetry and point symmetry.
It also has asymmetric space compatibility, such as different spaces that are determined by the outer poles.

Discussion 1
UZai with Po indicates elementary particles. If the presence has Po, it transforms into various particles. Elementary particles are distinguished by xPo, which is a type of empty Po. (x is a property letter (name) peculiar to each elementary particle.)
1 UEN photon, UEN photon {Orthogonal UZai, Orthogonal UZai (N = 2)}
Photon relations

Where N is the number of particles, if N,

And this formula, which is shown by the pole and the presence,

In this case, εE ² and μH ² _{, each Po. P EH} of the electromagnetic wave is the Po after the synthesis of the electric and magnetic fields. The equation shows the orthogonal uncertainty pair Orthogonal UZai Pair. Therefore, equations (11) and (12) claim to be 1/2 of the OUZ pair. {Orthogonal UZai (N = 2)}
LHS (13)

RHS (14)

The above formulas are the first and third terms of Euler's formula.
If N = 1 here (coordinate information is omitted)

2 Various particles are inherited by Po.

Discussion 2
Time as Po as 1 Po

The quantum UEN has no time term in the above methods and results. Time and sky are given by Po. Here, if we give time to θ,
1.1 Description example from θ

{E: Energy of a certain particle (acp), v: Velocity of acp, m: Mass of a cp, h: Planck constant

, t: hour time, ν: frequency frequency, k; Boltzmann's constant (

), T; Absolute temperature, j: The component number of particles same parallel movement on an observation axis,}
1.1.1 Single N = 1, Single Zai
j = 1, and

1.1.2 Orthogonal N = 2, orthogonal Zai Pair
j =

, and

1.1.3 Parallel N = 2, Parallel Zai Pair
j = 0, θ = 0, no wave property
2 Phase energy Ep
SUZ Ep = 1 (Fig. 1a), OUZ,

3 The trade-off of an uncertain principle,
The trade-off of the uncertainty principle is

This value is the same as in the experiment by J. Erhart et al. ^9. In addition, if

However, if we think of it as a primitive variable at position θ = f (t) in uncertainty,

Is the primitive variable of time.
On the other hand, the phase energy Ep is the primitive variable of momentum and energy. Therefore, in the uncertainty principle, the source variable is (θ + Ψ). If the phase θ at the time of particle production is known, the uncertainty disappears because the phase Ψ at the time of pair production (pair production) can be systematically controlled.
4 “Et” relation of uncertainty principle and Euler's four-term formula
“Et” relationship of the uncertainty principle and four term Euler formula
When the “Et” relation of the uncertainty principle produces and represents a conjugate complex continuum (CCNC, is equivalent to UZai continuum), it is the same as the result on the right side of Euler's four-term formula. It shows continuous multiplication with internal poles connected.
5 Addition and multiplication
UEN {Zai (parallel continuum PCZ) (N = 2j: even) (N ≧ 3j: odd), j is a natural number} (addition and multiplication, simultaneity) ^{2 For addition by} relative field (Rf includes relative View) Odd and local field multiplication or pole connections are simultaneous. It produces a real coordinate system. That RCS is true nature (our world). Addition is required for relative views. UZai does not have a View. Multiplication is required for smoothness.
6 StrZai exists on the G axis and owns the View. But if you remove the View from StrZai, it becomes UZai, which is on the K axis. Move Therefore UZai is not affected by the space-time of the G axis.

Discussion 3, Another build (construction) way (quantum to macro)
One erection, manufacturing method, generation method using only waves in the entire quantum to macro range.
The build (construction) way is the global of quantum from macro ¹³ .
3.1 Quantum continuous wave, and macro continuous wave And
Particulate matter particle (matter)
Currently, the parent form (in any form) can be generated by the following continuous or intermittent Fourier transform (inverse transform) equation. Its parental form will form a motif. ¹² {g (s) is a certain form. ¹³ ,'s' is an empty space or hour time as an independent variable. (For example, x, y, or / and z with a measure of length), G (f) is the amplitude in a spatial or temporal frequency pattern. (θ = 2πfs)} That is the problem in the existing Wp. When multiple PCSs are dynamically synchronized at the original pole, it is sometimes a relative continuous wave. This is the process of building and generating one quantum to macro.

Integration of the UEN RHS is,
UEN RHS integration
{The difference from the original formula here is that θ in the original formula was on the Z axis, but here it shifts to's' on the G axis. Then, the formula (θ on G axis) is different from Euler's formula (θ on Z axis). The left side cannot be used. } {The universe as pC1 on the K axis is a closed space. (Figure 2).}
From wave (f) to substance or matter (s)

From substance or matter (s) to wave (f)

3.2 Quantum intermittent wave and macro intermittent wave and particle, material or matter
When there are few PCS, it is intermittent wave. This is one build (construction) way (quantum to macro). There is only wave which is one way. Independent variables (for example, x, y, or / and z dimension is length, etc.), F (k) is the amplitude of the spatial frequency pattern or (time) frequency pattern, k is the frequency in space or time}
From intermittent wave (k) to intermittent substance (n) or matter (n)

From intermittent substance (n) or intermittent matter (n) to intermittent wave (k)

If there are multiple PCSs with polar synchronization at the original pole, it will be a continuous wave.
2.2.1 ZaiFt continuum
g (s) is the shape (wave packet, wave packet). 's' is space or time. It is an independent variable. Examples are sometimes't' (time) and space (length) x, y, and / or z.
G (f) is the amplitude of the spatial and temporal frequency patterns. G (f) can be decomposed into frequency components into wavestrings (WS) (groups) of a certain frequency. G (f) is a group of WS of a certain frequency. f is the frequency in space or time (θ = 2πfs) On the other hand, multiple PCSs due to dynamic pole synchronization at the original pole can generate relative continuous waves.
The integral of the extended UEN RHS is the inverse Fourier transform and the Fourier transform. {However, in one dimension, θ on the Z axis shifts to's' on the G axis and'f' on the K axis. Therefore, Euler's formula (θ on the Z axis) and this Fourier equation (θ on the K and G axes) are different. The LHS can only be used on orthogonal axes. } {The universe as on the K axis is a closed space. (Figure 2)} Where's','f','G'and'K' are multidimensional notations.
From G (f) to shape g (s) [j dimension,

]

Wave strings Wave strings (WS) Plural wave strings (WSs)

Each frequency

Motif function (one of the definitions of life), which is an amplitude set of WS in

Ko is the dependent variable on the K axis. Ki is an independent variable on the K axis. Go is the dependent variable on the G axis. Gi is an independent variable on the G axis. Kc is the coordinate axis on the K axis and Gc is the coordinate axis on the G axis.
This formula is the basic equation of the shape generator (form synthesizer).
The'a'in aK and aG indicates the amplitude of the complex plane (according to the K axis and G) (complex plane polar coordinates in imaginary mathematics). {G (f): Amplitude aggregate function of wavestrings of one or more frequencies}
The circumference (sphere circumference) due to the inner pole (iK) consists of one wavelength of 2π. More specifically, if the inner pole iK [] in WTL etc. is a circle (sphere) (the inner pole perimeter field is 2π), it will be one wavelength of the outer pole oK.

The inner pole iK of the MLL takes the same 3D wavestring aggregate as the outer pole.
The iK of MLL takes the same three-dimensional wave string manifold as oK.
The composite value of the composite plane is calculated by dividing it into two quadrature components, G and K, and the composite value of the composite plane is combined. They are divided into two quadrature phase components, calculated and then combined. If this equation is one-dimensional (j = 1),

Shape (wave packet) from g (s) to G (f)

If it is one-dimensional (j = 1),

2.2.2 ZaiFt intermittent Discrete ZaiFt, Intermittent ZaiFt
PCS is an intermittent wave. {F (n) is shape ¹³ ,'n' is space or time of an independent variable (for example, x, y, or / and z as length), F (k) is , Spatial or temporal frequency pattern amplitude. k is the spatial or temporal frequency}
From intermittent F (k) to intermittent form f (n)
Discrete (intermittent) F (k) to discrete shape f (n)

From intermittent form (n) to wave (k)
Discrete shape f (n) to discrete (intermittent) F (k)

2.3 (Inverse) Properties of G-axis and K-axis indicated by Fourier transform

However, if it is a closed wave at the outer pole oK, the direction is uncertain. The K axis is made up of waves. If's' is the real potential (one of the empty Pos), the direction is clear. The K-axis has one dimension of the G-axis. If the G-axis is dimension T (hours), the dimension of K-axis is 1 / T (frequency). If the dimension of the G axis is L (length), the dimension of the K axis is 1 / L (spatial frequency). Furthermore, if the G-axis is time and space, then the K-axis is frequency and spatial frequency. It is also the relationship between particles and waves. If a certain object (particle or substance) has a phase width (phase length) of 10 at Wp on the G axis, the phase number Np on the K axis is the phase frequency (phase number) 10. The inner field is drawn (defined) by the outer field (IDO) and IOSF.
Wp & Np

The inner pole iK has the wave nature of the outer pole oK.
2.4 form generator and form definition
The extended right-hand side of the UEN term 3 consists of a shape (wave packet) and a wave string (amplitude). As a result, a function G (f) is generated. The extended right-hand side of the UEN term 1 consists of its function G (f) and the wavestring (amplitude), from which any shape can be generated. It is also a motif.
Any shape (wave packet) can be generated from one or several frequency wavestrings. That is, the relative envelope G (f) of each wave string (amplitude) in the frequency f space on the K axis becomes the motif. Once a certain motif is decided, a certain shape is decided. And any shape can be reproduced. In other words, the component of a shape is the motif G (f), which is always the relative envelope of each wavestring (amplitude) determined by the sin and cos terms on the G and K axes. They form the inner pole of the continuum existing at the outer pole of the K axis and the continuum existing at the G axis. Is. In the G-axis space, the sphere whose element is the length Wp is the basic wavelength, and in the K-axis frequency space, the frequency Np is the element.
Therefore, the parent form can be generated by the continuous Fourier (inverse) transform equation. Its parental form (all forms) can constitute a motif.
These are also ways to create motifs using UEN, and those skilled in the art can easily create motifs.

2.5 Due to the Kyoku origin, if there are several PCSs, it produces a continuous wave.
2.6 -∞ to + ∞: Electromagnetic waves exist at the closed infinity of the outer pole (oK).
Origin to origin From the original pole to the original pole: From the absolute original pole to the absolute primary pole, there is an infinite wavestring of the outer pole. Therefore, a wave string of a certain frequency can be decomposed and classified by frequency component. And it exists in the closed infinity of the outer pole (oK). {At the outer pole, a certain object shape can be expressed by Fourier integration. (ref 13)}
Therefore, in the space (area) where the visible wave of the double slit experiment exists, when a continuous wave (packet) of saturation energy exists, when the output of the light source is reduced and the output of one photon is output, a short time is accumulated. When the energy becomes the same as the continuous wave, and when it arrives, both (wave packets) become equivalent according to the existence probability of UZai.
3 UZai, four force and changing the kind of a quark and lepton
UZai 4 powers and correspondence to quarks and leptons, changes
3.1 Elementary particles are UZai Δ.
3.2 Secondary particles are Zai Po (ΔPo).
The Number of particles
In Po _j , the'j'is the particle number.
Various particles do inheritance derivation by xPo.
UZai with Po shows particles and waves. If the presence has various Pos, it changes and responds to various particles and waves. Elementary particles are distinguished by xPo, which is a type of empty Po. [The'x'is written in letters that are unique to the particles and waves here. {As an example, pPo is a photon Po (photn Po). Po ₁ and Po ₂ numbers are two identical particles. pPo ₁ and pPo ₂ are two photons. }]
3.3 Nuclear Strong force (Relative force value: 1, ^{Working distance: 10 -15} m, Example: Gluon)
Bonding force between internal poles (iKs)

Internal pole (iK) dissociation force
Δ → | |
3.4 Weak force (relative force value: 10 ^-5 , working distance: 10 ^-17 m, example: Boson,
Po change force of ΔkPo (force to change the type of quark and lepton)
ΔxPo → ΔyPo
3.5 Electromagnetic force (Relative force value: 10 ^-2 , Working distance: ∞, AC component of external pole, Example: UEN photon, ZaiFT)
3.5.1 UEN photon UEN photon {Orthogonal UZai (N = 2)}
Photon relational expression

Here, N is the number of constituent particles

When this formula is shown by pole and presence

In this case, εE ² and μH ² are the individual Pos of the electromagnetic wave. _PEH is a combined Po of electric and magnetic fields. The equation shows an orthogonal UZai pair. Therefore, equations (11) and (12) can be said to be 1/2 equations of OUZ pairs. {Orthogonal UZai (N = 2)}
LHS (13)

RHS (14),

-------------------------------------------------- -------------------------------------------------- ---

, If

(20) The above equation is the first term and the third term in Euler's formula. Here, N = 1, (coordinate information omitted)

Discussion 4, IDO {Inner filed draws (defines) outer field (IDO)}, which is the outer field drawn (defined) by the inner field, and IOSF {IOSF (Inner Kyoku-and-Outer), which is the synchronous field between the inner and outer poles. Kyoku Synchronous field)}
IDO (field) ^1-4 and relative differentiation
IDO does not require gauge theory (field) because its presence (elementary particles) itself can form a field. Since the Zai (elementary particle) itself is able to form a field, IDO does not need Gauge theory.
In addition, the IDO field is also IOSF. Therefore, the relative differential equation (RDE) is independent and unaffected by the traditional coordinate system. RDE is not affected by infinitesimal real numbers.
Discussion 5, relationship of Clay Millennium prize Problems (CMP)
5.1 Perfect answer of CMP ^{1, 2}
The complete answer to the smoothness problem in the clay millennium problems (Fefferman et al., 2000) is

This is perfect smoothness. The current NSE without this StrZai is not smooth.
5.2 P = NP Problem One answer to CMPs
The WTL continuum (especially MLC ¹ ) has the P = NP property. This is one answer to the P = NP problem.
5.3 About Yang Mills and Mass Gap problem ¹¹ in CMPs
UZai and MuZai are superordinate concepts of Mass Gap. They are primitive operators in real mathematics. The dissociation force of the existing closed inner pole requires a great force.
5.4 proposals to imperfect other problems
The all problems of CMPs should distinguish the area of the real mathematics and imaginary mathematics and should be given to us.
Discussion 4
Two big methodologies, Reductionism (particle property) and Holism (wave property) by UEN UEN's two major methodologies, element reduction theory (particle property) and whole theory (wave property), are formed from the wave group G (f) by Fourier transformation. The object g (s) forms a shape (space or time), and its wave group G (f) is represented by a frequency pattern. Therefore, equations (24) and (27) are (2). It is recognized as a (generated) object, and (25) and (26) are recognized as a spatial or time wave analysis (result).
1st and 3rd terms

2nd and 4th terms (the RAO is constant at "1")

Equation (8) is also an element (basic skeleton) of the Fourier transform equation for the number of elements pEN.

Conclusion Conclusion
1 As mentioned above, primitive operators made from macro elements can be used at the quantum level at the same time. And at least the difference between the two levels is not found except for View (operator). (I can't feel the rank.)
2 UEN is a unified formula with wave nature and particle nature. The left side of the UEN is the amplitude term, and the right side is the primitive coordinate system.
3 UEN is an expression inherited from a primitive operator created from macro elements (water-treated leukocytes).
4 The relative equation created based on UEN, which is the calculation of the phase energy Ep and the value θ of this equation, expresses uncertainty.
5 PCS generation by UZai
PCS produces macro RCS. Its RCS is a substance substance (matter). On the other hand, PCS produces waves. . UZai's existence probability The existence probability is 50% -50% (

). If UZai exists in a complete servative, its value is {50% -50% :(

)}. If the conservation field collapses, the UZai pair's abundance will change. (For example, 49% -51%). Let it be fluxuation produces PCS to macro RCS (FpPR) (quantum to macro). FpPR is a substance production site. When the place is artificially created, it becomes a means of producing substances.
6 Existence of continuous multiplication (continuous multiplication)
Multiple existing couplings are quantum-to-macro continuous multiplications.
The connected multiple Zais is continuous multiplying (continuous multiplication) in quantum to macro.
It's mathematically smooth. That continuous multiplication yields PCS. PCS then produces RCS. It is proved by the “Et” relation in the uncertainty principle and Euler's binomial. Specifically, if the PCS is observed as an “Et” relationship on the uncertainty principle, it will prove the continuous multiplication of existence. UZai continuum

is.
Continuous addition (and continuous multiplication),

This indicates the existence of limits and infinitesimal (real) numbers. Because time t has a closure as a closed pole like water treated leukocytes. In other words, it appears in the energy value in the Et term of the uncertainty principle. Therefore, in the short time in the Et term of the uncertainty principle, multiplication occurs faster than addition. It will be prioritized.

The pole Kyoku is not affected by infinitesimal real numbers, it is also RDE. In a short time in the Et term of the uncertainty principle, the uncertainty pair multiplies.

The following formula is generated by FpPR

Old version UEN
Unified Equation N (UEN) Left side UEN θ = 2πνt _n

Here, each term is
Wave nature term

Then, from the above-mentioned formula, this right-hand side UEN forms a term at the atomic level (expression formula at the elementary particle level).

Repeating 4 states like
That is,
Euler's formula 1st term, 2nd term, Euler's formula 3rd term, and 4th term act continuously as PCS.

, n, m, γ, t, τ, Δ

Indicates the number of particles. N and m are phase values, γ is the velocity coefficient, t is time, and τ is τ, which are fixed times. See below. Str is the Str operator (obtained from View)
When the number of particles is sufficiently large, the particle state is indicated by NSE _{. T a} is the initial value initial time. T _n is the time when the _{phase n is τ n} is the τ_time at the phase n.
Single: Single in UEN {N1 Single (N = 1)}

or

You may use either of them. See (Δ) ² = + 1 above

(The Ep value is 1, its initial phase value θ = π / 4.) θ = 2πνt (ν: frequency), {2πνt ± t _n / τ}
Wave nature can be found. And its frequency fluctuates by (t / τ) · n minutes.
If ν> 100 Hz, the t / τ term can be ignored. If the time has passed about 100 o'clock or more, the t / τ term can be ignored. τ corresponds to the empty potential of one particle, and for white blood cells, it corresponds to the diameter in the image in τ time units.
Here, the UZai section is

The characteristic of this equation is two waves
Orthogonal UZai Pair at UEN
UEN (Orthogonal N = 2)

UEN {N2 orthogonal (N = 2)}

(Ep value is

, The initial phase value is θ = π / 4), where the four repeating states are

Orthogonal UZai Pair has a wave nature.
If the synthesis of orthogonal pairs starts, the number of elementary particles will increase or decrease explosively.

Here, the parallel vs. Parallel Zai Pair or the Str present vs. Str_Zai Pair of states C1 to C4 (parallel continuum N = 2 or more), and the repeating 4 states are

Parallel continuum in UEN {parallel continuum (N ≧ 2)}

(The Ep value is 1, its initial phase θ = 0.) This right-hand side UEN term indicates the evolution term (macro level term).
N2 Parallel Zai

An example of θ where the current does not rotate and the wave nature disappears

{E: Energy of a particle (acp), v: Velocity of acp, M: Mass of acp, h: Planck's constant

, t: time, ν: frequency, k: Boltzmann constant (

), T absolute temperature}
j: Number of particles with the same parallel movement on the observation axis (this formula is difficult to indicate the presence and pole)
Here (v is italic)
Single Zai with N = 1
j = 1,

Orthogonal Zai Pair with N = 2
j =

, and

Parallel Zai Pair with N = 2
j = 0, θ = 0, no wave nature


Unified Equation N (UEN) Unified Equation N
pEN is a true elementary particle, and the arithmetic means created using this component is the smallest arithmetic means.

Initial value of orthogonal pair Ep
Assuming that G1 is assigned to the horizontal axis and G2 is assigned to the vertical axis, Ep is

(Ep, π / 4) is the initial value, and if there is a pair as a storage field, there is a pair at (Ep, 5 / 4π)

For Ψ, the encounter phase and the synchronization of Ψ are quantum entanglements.
Single existence

These are examples of long-distance communication means and encryption means by the arithmetic means, and according to the examples described later, those skilled in the art can extremely form a circuit by the arithmetic means using elementary particles having wave nature such as photons as parts. It's easy.
The uncertainty trade-off is

Therefore, the uncertainty disappears and the accuracy improves.
Elementary particles up to N = 1 and N = 2 (orthogonal pairs), N = 2 parallel pairs (elementary particle pairs for a short time), and N ≥ 2 continuums are particles.
This makes circuit design reliable and easy.
Primitive Operators are Zai (Inner Kyoku), Kyoku (Outer Kyoku), Po and Str etc., which can be described by real mathematics.
Zai (by Inner Kyoku) in Zai (by Inner Kyoku)

Example of Computational Means Using Single Zai N = 1 Examples of single-existence are photons, electrons, and the like.
An example of a photon. As shown in FIG. 15, a circuit is formed by presence and pole.
Their relationship is

If N,

In the polar arithmetic means and the existing arithmetic means,

UEN in Nature World
The photon orthogonal UZai Pair is 1/2 of Zai Pair from the photon equation.

The four repeated states are

Will be.
In this case, εE ² and μH ² are empty potentials Po and form an electromagnetic wave. The element energy of this equation exists at 1 / 2Δ.
If N = 1

Therefore, according to an embodiment described later, those skilled in the art can extremely easily form a circuit by means of computing and polar computing using photons as components.

The electron Electron is disclosed as an example of single existence.

Therefore, according to an embodiment described later, those skilled in the art can extremely easily form a circuit by means of computing and polar computing using electrons as parts.

An example of a quark complex to a substance from the N = 2 (N ≧ 2) quark complex
An orthogonal pair Orthogonal Zai Pair N = 2 on the G axis is an example in which a baryon is used as a component, and a person skilled in the art can form a circuit using a baryon as a component and a polar calculation means according to an embodiment described later. It's extremely easy.

An example of parallel vs. Parallel Zai Pair N = 2
A Parallel Zai Pair on G axis is an example in which the Maison Meson is used as a component. Is extremely easy. The Maison has a short life as shown below, so care must be taken when handling it.

Gluon is the force that opens the inner pole of the present.
Mass Gap can be inherited from a single uncertainty.
RDE does not require a gauge field because it is coordinate system independent. RCS can use most functions in the real world, not to mention gauge transformations. From quantum to macro

Each of the above means can accurately analyze a phenomenon, design a substance, and generate a substance.

これらは、記号の付与位置の仕方の可変性を示している。

本件では、_Ccd(または_cd)という収束微分記号とした。もちろん省略可能である。

日本語の、時はτやｔ、時間は、ΔτやΔｔ、時刻は、dt (dは、収束微分記号

)

以下の添え字の１と２は、明示的に異なる変数を示している。存在は、同じでも違っていてもよい。C４の存在１と存在２は、違う存在である。
ここで、
C1, C2, C3などのCは状態conditionを示す,
n−m = n+S₁m, n+m = n+S₂m, n−m = n−S₂m, n+m = n−S₁m,左辺が相対場変数表記RF表記{Rf表記、Rf変数表記(RF変数表記)}、右辺が全域局所場表記GvLF表記(GvLf表記)。
n+S₁m, n+S₂m, n−S₁m, n−S₂mは、GvLF表記(GvLf表記)、結局GvLF(GvLf)=RF(Rf)です。
n−m, n+m は、相対場変数表記{Rf変数表記(RF変数表記)}略してRf表記(RF表記)
全域局所場表記GvLF表記(GvLf表記): n+S₁m, n+S₂m, n−S₂m, n−S₁m
GvLf notation (GvLF notation), Global View Local Field notation,
相対場変数表記 Rf変数表記(RF変数表記)}: n−m, n+m
Rf variable notation (RF variable notation: RFV notation, Rfv notation), Relative Field Variable notation, Relative field variable notation

13.1 RDE 具体例 (Self-operating computer: SOC) RDEは、自己演算を行える。実施例参照
13.1.1 C1 と C2 (C3から継承)
状態Ｃ１ {Condition 1(C1)(Existence 1)}

状態Ｃ２ {Condition 1(C2)(Existence 2)}

この位相(添え字)である1と2は、明示的に異なる変数をしめす。省略可能である。
RDE, RO, RCS, AO
RDEは、相対原極Relative Origin (Kyoku)を発生できる(図4,7,8,9,14参照). A real coordinate system (RCS)は、absolute origin (AO)を発生できる. ＲＤＥを有するRCSは、ROを発生できる. RO は、AOを（に）、重ねてもよい. ROとAOは、重ねる事ができる。
13.1.2 C3 と C4
閉じた１宇宙内においては.この２つが親RDEとなり,ほぼ全てのマクロ現象を表現できる.
状態Ｃ３ {Condition 3(C3)(Existence 3)}

状態Ｃ４ {Condition4(C4)(Existence 4)} 多くの場合、複数の存在となる。

複数の存在の場合の表記一例

13.1.3 C5 閉じた複数の宇宙にまたがった現象も表現できる。
分類１ 親RDEのC3,C4に従い親符号をR,Lとに分類、

分類２はa,b

13.1.4 反時間、反物質への拡張 C6とC7
C6は、親RDEのC3から派生継承、反時間anti-time (AT) または/と 反物質anti-matter (AM),

反物質と半時間は、
位相省略型

となる。
C6 反物質と物質の相対微分RDEを示す
右辺第１式の第２項が反時間, 右辺第２式の第２項が反物質

右辺第１式の第１項が反時間, 右辺第２式の第１項が反物質

C7 は、親RDEのC4から派生継承、反時間anti-time (AT) または/と 反物質anti-matter (AM)

C7は、親RDEのC4から派生継承、反時間anti-time (AT) または/と 反物質anti-matter (AM),
右辺第１式の第２項が反時間, 右辺第２式の第２項が反物質

右辺第１式の第１項が反時間, 右辺第２式の第１項が反物質

原始状態Primitive condition は

S₁=Str₁=−1, S₂=Str₂=+1 nとmは,位相(値)。 nは相対原極Relative Origin (Kyoku |). t;は時, τは;τ時,実施例の白血球などが示す固定された時, 空Poでもある. その n, m, and l は位相(値) (n≧0,m≧0, l≧0). t_a 位相aにおける時, t_n は位相nにおける時, t_n+m はτ_n=t_nにおける時からの位相 n+m. The k and K は任意の数。 関数f( ), ,位相観察関数g(p)

以上は、分子も分母も在.
他例は、
N が純数
純数としての関数
内極としてのN
内極としての関数
Str付きの関数
極値算出手段は、極を出力する手段全てである。極値算出手段は、少なくとも相対微分方程式をSOCまたはOOCで実現した手段である。SOCでは、白血球連続体などであり、OOCでは、コンピュータなどに搭載された相対微分方程式である。
結果
解(過渡解) Unipolar solution (transient solution) 差分解difference solution
フーリエ解 furie solution
(Example of other-operating computer: OOC)
原極の解(過渡解)Solution in an Origin (Kyoku) Unipolar solution (transient solution)
相対原極解 The solution in a Relative Origin (Kyoku)

StrZaiをStr Operatorに置換,

Str Operatorを数値に置き換えると,

さらに,

これは、偶関数です。
ここで、解にフーリエ余弦級数を使用してもよい
絶対原極解

StrZaiをStr Operatorに置換 Str Zai transpose to Str Operator,

Str Operatorを数値に置き換えるとStr Operator transpose to value (number),

さらに,

これは奇関数です.
ここで、解にフーリエ正弦級数を使用してもよい.

変数分離による解,(連続解) (constant solution)
s.t.c. (space time continuum)における存在N(γは変動速度係数fluctuation velocity coefficient)

(StrはStr演算子であり, Str₁= S₁=−1, Str₂= S₂=+1 )

は軌道を構成する。初期値は一個の細胞で１となる.

t_a はt.s.c. 領域の増加終末値の時、t_n はt.s.c.領域の減少終末時
exp{γ(t_a−t_n)} などである
t.s.c.とτs.c.の接続条件は

遷移解transition solution (接続解connective solution)
τ領域減少関数τarea decreasing function

τ領域増加関数τarea increasing function

C4座標系C4 coordinate system which set the Relative Origin (Kyoku) to n.
変数分離解Variable separations

x乗の関数x-th function (x＞0)

C3座標系C3 coordinate system set the Relative Origin (Kyoku) to n+m
変数分離解Variable separations

x乗の関数 (x＞0)

C1座標系C1 coordinate system in case a Relative Origin (Kyoku) to n

C2座標系C2 coordinate system in case a Relative Origin (Kyoku) to n

(k or K は定数constant)
3 γ は
C1, C2, C3 において,

N は, (以下の | | は絶対値absolute-value operators.) (C4は符号が反転reverse sign)
ここで通常の絶対値は、

Strに対する絶対値、(相対演算子に対しての絶対値)、を求める相対絶対{Relative Absolute-value Operator (RAO)}を、Aを表記して、

以下の絶対演算子は、A表記すると、Nは、

m=1 なら(以下の絶対演算子は、A表記ないが、RAOとすると)

C4 は, (以下の絶対演算子は、A表記ないが、RAOとすると)

ここで m=1とすると

In the case of γ=0. { Origin (Kyoku) の発生}
多重型Multiplied type
In the case of exp (γt) {t₁,t₂,t₃...t_n,γ changes in t_n.( 任意の正の整数)}

バンドリングBundlingより, space(x, y, z)も同様である 図８、図９

上の式の中央の項は,オーバーラップしたZai (数と時のZai). 左辺はTime_Zai(Timeは空Po)の数Number of Time Zai. 右辺はある時のNumber_Zai(Numberは空Po) 図８、図９
S_?はmacro template (マクロテンプレート)

さらに, 球座標値のR/2 {space(x, y, z)から}, τはτ 時,

これは水溶液処理白血球WSTL (Water Solution Treatment Leukocyte)を示しています. 図８、図９
図３ WSTLの画像 (A and B)
直径約15μm. 画像の縦横軸を長さの単位で示した場合
画像の縦横軸を時の単位で示した場合は、一個の白血球の時間(上記直径に相当)が約２３秒
(４０μm／分とするなら, 約２３秒 τ＝２３sec)
(A) 位相差顕微鏡画像
(B) τ時画像, 蛍光画像. 時間と空間が重なり合う画像

画像軸が時間の場合 (B)

画像軸が空間の場合(B)

13.0 RDE
N Number of observation targets, Po empty potential is τ, phase potential pPo = m, m is phase potential, γ is solution coefficient, number of pure elements pEN = 1.
The pole is

These show the variability of how the symbols are given.

In this case, it is a convergent differential symbol called _Cc d (or _{c d).} Of course, it can be omitted.

In Japanese, time is τ and t, time is Δτ and Δt, and time is dt (d is a convergent differential symbol.

)

The subscripts 1 and 2 below indicate explicitly different variables. Existence may be the same or different. Existence 1 and existence 2 of C4 are different existences.
here,
C such as C1, C2, C3 indicates the state condition,
n−m = n + S ₁ m, n + m = n + S ₂ m, n−m = n−S ₂ m, n + m = n−S ₁ m, left side is relative field variable notation RF notation {Rf Notation, Rf variable notation (RF variable notation)}, the right side is the whole area local field notation GvLF notation (GvLf notation).
n + S ₁ m, n + S ₂ m, n−S ₁ m, n−S ₂ m are GvLF notation (GvLf notation), and after all GvLF (GvLf) = RF (Rf).
n−m and n + m are relative field variable notation {Rf variable notation (RF variable notation)} Rf notation (RF notation) for short
Whole area local field notation GvLF notation (GvLf notation): n + S ₁ m, n + S ₂ m, n−S ₂ m, n−S ₁ m
GvLf notation (GvLF notation), Global View Local Field notation,
Relative field variable notation Rf variable notation (RF variable notation)}: n−m, n + m
Rf variable notation (RF variable notation: RFV notation, Rfv notation), Relative Field Variable notation, Relative field variable notation

13.1 RDE Specific Example (Self-operating computer: SOC) RDE can perform self-operation. See Examples
13.1.1 C1 and C2 (inherited from C3)
State C1 {Condition 1 (C1) (Existence 1)}

State C2 {Condition 1 (C2) (Existence 2)}

The phases 1 and 2 explicitly indicate different variables. It can be omitted.
RDE, RO, RCS, AO
RDE can generate relative origin (Kyoku) (see Figures 4,7,8,9,14). A real coordinate system (RCS) can generate absolute origin (AO). RCS with RDE RO can generate RO. RO may overlap AO. RO and AO can overlap.
13.1.2 C3 and C4
In one closed universe, these two become parent RDEs and can express almost all macro phenomena.
State C3 {Condition 3 (C3) (Existence 3)}

State C4 {Condition 4 (C4) (Existence 4)} In many cases, there are multiple entities.

An example of notation when there are multiple

13.1.3 C5 A phenomenon that spans multiple closed universes can also be expressed.
Classification 1 The parent code is classified into R and L according to C3 and C4 of the parent RDE.

Category 2 is a, b

13.1.4 Anti-time, extension to antimatter C6 and C7
C6 is derived from parent RDE C3, anti-time anti-time (AT) or / and anti-matter anti-matter (AM),

Antimatter and half an hour
Phase abbreviation

Will be.
C6 Shows the relative derivative RDE of antimatter and matter
The second term of the first equation on the right side is antimatter, and the second term of the second equation on the right side is antimatter.

The first term of the first equation on the right side is antimatter, and the first term of the second equation on the right side is antimatter.

C7 is derived from parent RDE C4, anti-time anti-time (AT) or / and anti-matter anti-matter (AM)

C7 is derived from parent RDE C4, anti-time anti-time (AT) or / and anti-matter anti-matter (AM),
The second term of the first equation on the right side is antimatter, and the second term of the second equation on the right side is antimatter.

The first term of the first equation on the right side is antimatter, and the first term of the second equation on the right side is antimatter.

Primitive condition is

S ₁ = Str ₁ = −1, S ₂ = Str ₂ = + 1 n and m are the phases (values). n is the relative origin Relative Origin (Kyoku |). T; is the hour, τ is; τ, the leukocyte of the example shows the fixed time, and the empty Po. Value) (n ≧ 0, m ≧ 0, l ≧ 0). When t _a phase a, t _n is when phase n, t _{n + m} is phase n + m from when _{τ n} = t _n. The k and K is any number. Function f () ,, Phase observation function g (p)

The above is the numerator and denominator.
Another example is
N as the inner pole of the function as a pure number
Function as an internal pole
The function extremum calculation means with Str are all means for outputting poles. The extremum calculation means is a means in which at least the relative differential equation is realized by SOC or OOC. In SOC, it is a leukocyte continuum, etc., and in OOC, it is a relative differential equation installed in a computer or the like.
result
Solution (transient solution) Unipolar solution (transient solution) Difference solution
Fourier solution furie solution
(Example of other-operating computer: OOC)
Solution in an Origin (Kyoku) Unipolar solution (transient solution)
The solution in a Relative Origin (Kyoku)

Replace StrZai with Str Operator,

If you replace Str Operator with a number,

Moreover,

This is an even function.
Here, an absolute primary solution in which the Fourier cosine series may be used in the solution.

Replace Str Zai with Str Operator Str Zai transpose to Str Operator,

If you replace Str Operator with a number, Str Operator transpose to value (number),

Moreover,

This is an odd function.
You may now use a Fourier series for the solution.

Separation of variables solution, (continuous solution) (constant solution)
Existence N in stc (space time continuum) (γ is fluctuation velocity coefficient)

(Str is a Str operator, Str ₁ = S ₁ = −1, Str ₂ = S ₂ = + 1)

Consists of an orbit. The initial value is 1 for one cell.

t _a is the increasing terminal value of the _{tsc region, and t n} is the decreasing terminal value of the tsc region.
For example, exp {γ (t _a −t _n )}
The connection conditions between tsc and τs.c.

Transition solution transition solution (connective solution)
τ area decreasing function τ area decreasing function

τ area increasing function τ area increasing function

C4 coordinate system C4 coordinate system which set the Relative Origin (Kyoku) to n.
Variable separations

x-th function (x> 0)

C3 coordinate system set the Relative Origin (Kyoku) to n + m
Variable separations

X-th power function (x> 0)

C1 coordinate system in case a Relative Origin (Kyoku) to n

C2 coordinate system in case a Relative Origin (Kyoku) to n

(k or K is a constant constant)
3 γ is
In C1, C2, C3,

N is (the following | | is the absolute value operators.) (C4 is the reverse sign)
Here the normal absolute value is

The relative absolute {Relative Absolute-value Operator (RAO)} for finding the absolute value for Str, (absolute value for relative operator), is expressed as A,

The following absolute operators are expressed as A, and N is

If m = 1 (the following absolute operators are not A notation, but RAO)

C4 is (the following absolute operator is not A notation, but RAO)

If m = 1 here,

In the case of γ = 0. {Origin of Origin (Kyoku)}
Multiplied type
In the case of exp (γt) {t ₁ , t ₂ , t ₃ ... t _n , γ changes in t _n . (Any positive integer)}

From Bundling, space (x, y, z) is the same. Figures 8 and 9

The central term of the above equation is the overlapping Zai (Zai of number and time). The left side is the number of Time_Zai (Time is empty Po) Number of Time Zai. The right side is Number_Zai (Number is empty Po) Figure 8, Fig. 9
S _? Is a macro template

Furthermore, from the spherical coordinate values R / 2 {space (x, y, z)}, τ is at τ,

This shows water solution treatment leukocytes (WSTL). Figures 8 and 9
Figure 3 WSTL image (A and B)
Diameter about 15 μm. When the vertical and horizontal axes of the image are shown in units of length When the vertical and horizontal axes of the image are shown in units of hours, the time of one white blood cell (corresponding to the above diameter) is about 23 seconds.
(If 40 μm / min, about 23 seconds τ = 23 sec)
(A) Phase contrast microscope image
(B) τ-time image, fluorescence image. Image in which time and space overlap

When the image axis is time (B)

When the image axis is space (B)

rdは相対微分演算子Relative Differentiation Operator, nとmは位相値 (整数) τはτ時, τ_time (ポテンシャル, potential). N は数 (正の整数positive integer). ₁Nと₂Nは存在1と存在２.

C4の干渉が生じた場合、存在１(₁N) (right Str

)と存在２(₂N) (left Str

)は、個々に以下のごとくである。

₁N白血球の数,₂ N感染抗原の数、εは干渉係数であり,ε₁₂は白血球のファゴサイト個数係数, ε₂₁は, 抗原に対する白血球の呼び出し(サイトカイン)係数、τはτ time, 固定された時間,実施例の水溶液処理白血球が有するポテンシャルであり、その処理白血球が示す固定された時間である。
γ は, (| | は絶対値. )

その他の干渉相対微分
Grを重力子(空Poの一種)とすると
C3重力対

C４重力対

C4C3C4連続重力対

C1重力

C2重力

前記計量と整合させると、

dgは整合係数

RDEの解の求め方 解法
1変数分離 C3 RDEは、（微分解の一つ）(τ：時、N：数)

ここで、Nは、

上式C3 RDEについて吟味すると

C3 MuZaiへのbundling (C3MZB)、C1やC2は直接バンドリング(同じStrZaiを使用しているから)

となり、ここで、Ｃ１，Ｃ２，Ｃ３は、それぞれ、

となる。
τMuZai項を右辺に移動

Ｃ１，Ｃ２，Ｃ３(略して)は、おのおの、

この両辺を区分求積すると、

Ｃ１，Ｃ２，Ｃ３(略して)は、おのおの、

‘×’ は、直交乗算。 ‘&#8901;’ は、平行乗算。
となる。

ここで、右辺は、１にたいする積分となる。

言い換えると、右辺は変化せず(Supplementary)にて、左辺のみとなり、

Ｃ１，Ｃ２，Ｃ３(略して)は、おのおの、

左辺LHS (右辺は、補足試料参照)は、単に区間

に対する区分求積であるので
(下段は、Str部分を省略表記)

単に区間

に対する区分求積なので、RDEの解は、変数分離で求めることが証明される。
すると、不定区間区分求積 (Supplementary不定区間区分求積)でも同様に

または、不定区間積分 (Supplementary変数分離)でも同様に、

となりRDEの解が求められるし、RDEが微分であることが証明される。さらにMathCadでも同様である。ここで、両辺を同様に極限化しているので、Viewの変化はない。(StrZaiが吸収している。)

すなわち、
RDEの微分解は、

となる。これらもまた、RDE同様に、白血球集合体(もちろん連続体を含む)などの集合体にて回路形成可能である。
(Supplementary変数分離)

(Supplementary不定区間区分求積)

f(x)とx_bとxとx_aで囲まれた面積を区分求積法で求める。

x軸の目盛りは、kのn乗毎の目盛り。そして各区間の面積は、(縦かける横)

以下一例

x_aからx_bまでの全長方形面積は、

区間区分求積での結果は、(

)

となると、不定区間区分求積は、

―――――――――― 原極Origin、AO,ROについて ――――――――――――
基本的に使用しているnについて、原極(Origin)について、
nは、原極Originです. Local FieldのAOとROは、同じものです (Local Field Origin は、AOとROが同一)
右Strと左Strが出会う位相または離れる位相「ｎ」は、「AO」です。
The conjugation Kyoku of Zais of the different Str is "AO".
異種Strの接合極(あい接する極)は、AOです。
The conjugation Kyoku of Zais of the same Str is "RO".
同種Strの接合極(あい接する極)は、ROです。
―――――――――― 原極Origin、AO,ROについて ――――――――――――
―――――――――― RDE補足 ―――――――――――――――――――
N 観測対象の数, Po空ポテンシャルはτ, 位相ポテンシャルpPo = m, そのmは、位相ポテンシャル、 γは解の係数、 純要素数pEN=1 (refs 1-8). 極は、

附則２) ω3演算子(ω3)
直交演算を観測しやすくする格子をω3格子,単にω3として以下に定義する.(ω3格子単にω3）ここでは,以下のごとくにω3演算子を定める.G,K,Zは各々,軸を意味し,添え字はそれぞれの軸における値Ex,位相数Np(位相分類1と2のみの使用ならWpでもある),であり,

とし,K,Z,G,の各軸同士の演算則は,

とし,ω３行列の一例をあげると,

(−Δなどの符号±は,在Δが独立なら取り去れる.) さらに,平行演算は,

ここで,ωx格子(xは1,2,3などの整数)のメンバを表示するのに|.Ex, ^ωx|.Exなど,C++様にドットを使用してもよい.(基本的にG軸は在軸,K軸は極軸,Z軸は在の内極軸を示す。K軸の在もありえる事に注意。)
附則3) 絶対値の符号と極の符号の区別
通常の絶対値は、

省略すると, (記述が煩雑になりすぎる場合など)

Strに対する絶対値、(相対演算子に対しての絶対値)、を求める相対絶対{Relative Absolute-value Operator (RAO)}を、Aを表記して、

附則４）相対τ率 relative τ ratio
relative τ ratio 相対τ率 個々の生物間における生物時間(時系列)の違い
Difference of the (biological) τ between each (living) thing


附則５）生命の定義
新バージョン
右辺pC3のΣ｜, 左辺 単在または在連続体と在連続体の組み合わせ
請求項１
生物活性計測装置は、
位相分類３(pC3)極集合(単極、断続極、連続極)における、極値を計測することにより生命の活性度を計測する装置であり、
細胞の数を計測する細胞数計測手段と
細胞の活性度などから細胞の時間を計測する細胞時間計測手段と
細胞数と細胞時間を独立変数として細胞活性度を演算する相対微分方程式手段と
からなる事を特徴とする生物活性計測装置
請求項２
生物活性計測装置は、
位相分類３(pC3)極集合(単極、断続極、連続極)における、極値を計測することにより生命の活性度を計測する装置であり、
細胞の幅を計測する細胞幅計測手段と
細胞の活性度などから細胞の時間を計測する細胞時間計測手段と
細胞幅と細胞時間を独立変数として細胞活性度を演算する相対微分方程式手段と
からなる事を特徴とする生物活性計測装置
請求項３
生物活性計測装置は、
位相分類３(pC3)極集合(単極、断続極、連続極)における、極値を計測することにより生命の活性度を計測する装置であり、
細胞の面積を計測する細胞面積計測手段と
細胞の活性度などから細胞の時間を計測する細胞時間計測手段と
細胞面積と細胞時間を独立変数として細胞活性度を演算する相対微分方程式手段と
からなる事を特徴とする生物活性計測装置
請求項４
生物活性計測装置は、
位相分類３(pC3)極集合(単極、断続極、連続極)における、極値を計測することにより生命の活性度を計測する装置であり、
細胞の体積を計測する細胞体積計測手段と
細胞の活性度などから細胞の時間を計測する細胞時間計測手段と
細胞体積と細胞時間を独立変数として細胞活性度を演算する相対微分方程式手段と
からなる事を特徴とする生物活性計測装置
請求項５の細胞活性計測装置は、
請求項１から請求項４のいづれかの細胞活性計測装置におき、その実際の幅、面積、体積のいづれかを、Poで除する事により位相値に変換する事を特徴とする位相変換手段を備える事を特徴とする細胞活性計測装置。
1自然を位相により分類し、その分類から派生した演算子(自然を要素化した演算子: pC1,pC2,PC3: 前記および後記、Text S1)を使用して,炎症を表記(表現)した. そして,その演算子におき,存在をあらわすpC2の在演算子の基本要素は,マクロにおいて不確定性を示した.( 前記および後記、Text S2) さらに,その演算子は,量子も矛盾なく示した.( 前記および後記、Text S3)
当然、これらの演算子が自然を要素化できているなら、そこに生命が表現されているはずである. ゆえに,生命をこれら原始演算子(pC1,pC2 and pC3)にて示してみた. それは、生命の定義です。
(ベクトルで表現表記できる従来の数学は,pC4であった. 前記および後記、Text S4)
2 位相分類より, (Macroの)白血球(細菌,細胞)から(を)要素化し生じた(要素)演算子は,極(ゼロ外極,無外極)pC1,在(有内極)pC2,有外極pC3,と,区間pC4となった.(ゆえに、分類外の純数PENが存在する) (前記および後記、Text S1:phase Class)
自然を要素化した原始演算子は pC1（ゼロ外極）、 pC2（Zai）と pC3（Kyoku 集合）でできています。その内,存在の要素演算子は,不確定性を示す不確定性在UZaiであった.( 前記および後記、Text S2:UZai) 実は,マクロの要素も不確定性MUZaiであり,量子の要素である素粒子と共通する.( 前記および後記、Text S3 UEN) ここで量子とマクロの違いは,View(観測行為)があるか,否か,であった.
その結果,(全ての)自然は,素粒子,マクロ,(ひとつまたは複数の)宇宙レベルにおき,原始演算子そしてそれから成る方程式としての,RDEとCDE(View付き)により,全ての場(時空間, 内場,外場)を矛盾なく,表現できる. すると、
生命は、外力０(ゼロ)におき、内極とpC3外極(単極から極連続体まで)の接続体と示される。
自己増殖期は、pC2内極連続体が,pC3外極連続に対応し、
単細胞期(減衰期)においては、pC2内極単体が,pC3単外極に対応する。
pC1(開いた場)ゼロ外極は、われわれの閉じたひとつの宇宙空間となる.
それは保存場を示す.
材料と方法
1内極の存在
内極の存在は、位相分類から発生した在や極から生成したRDEにより証明される。極連続もRDEから証明される。（左辺から右辺へ）
2極の検出、確認（単極、連続極）(連続極と極連続は同義)
2.1 RDE (as SOC)
C1とC2はC3から派生できる、この場合Po = τ

C3 と C4 Relative Origin (Kyoku) を使用

以上、これらの方程式は、数と大きさ(体積、面積、幅)を表現できる。
2.2原始状態は、

ｔは時、τは、τ時。n,m,lは、位相(値) (n≧0,m≧0, l≧0).
変数は、どのような値を用いても良い。

2.3 極の表記

2.4 Phase class 1 (pC1); ゼロ外極, 我々の宇宙空間

2.5 Phase class 2 (pC2);在(存在),

G軸に内場を有し、Z軸に内極をもつ。Z軸に内極は、L軸の有外極と同期している。Z軸の内場は、生命体として定義、観察され、L軸の外場は、生命として定義される。
2.6 Phase class 3 (pC3);

極集合(単極も含む)は、K軸ゼロ外場に対してL軸に有外極をもつ。L軸の外場は、生命の定義、となる。
2.7

極集合、Exは、G軸に、直交関係です。
2.8 ゆえに、RDEの右辺は、在連続体(単在も含む)の差分による極連続(単極も含む)を示しますから、RDEの左辺は、単極または極連続を示します。
3 γの検出 定義
3.1γ of RDE as OOC
C1, C2, C3 は

C1, C2, C3 は,

N は, (次の | | は RAO.)

ゆえに

C4 は

ゆえに

4 外力の検出、定義
RDE
極に対する外力(状態)

時は、在連続体で定義される。ゆえに時は生命のひとつとして定義される。

5 Phase class 4 (pC4); ベクトル:Vector(s) (ゼロ在) (Ex はG 軸に平行)

pC2, pC4はWp≠0なので, pC2, pC4は平行,
Wp=0のpC1, pC3は、平行でなくてもよい。
結論
1 SOC & OOCによる、生命の定義 (極を伴う存在の定義)
1.1.1 SOCによる増殖期 (C3 high level SOC)は、

pC3 = pC2 + pC2
L = Z + Z
ちなみに、休止期は、

pC1 = pC2 + pC2
そして、減衰期は、

pC3 = pC2 + pC2
生命病態演算手段は、上記演算をSOCまたはOOCで実現した手段であり、具体的には、SOCの一具体例として各種細胞、微生物、活性白血球(集合体、連続体、単体)を部品として使用し、その増殖、休止、減衰を顕微鏡などの観察手段でデータ化（映像データや数値データ、幾何学的データなど）する手段である。また、OOCの位置具体例としては、コンピュータ内部に取り込んだ、SOC画像におき、それらが有する細胞膜などの内極単位での増殖、休止、減衰を計測する手段である。これらは、いち具体例であり、内極単位での個数計測をはじめとした、内極単位での増殖、休止、減衰を計測できればどのような手段でもよい。
1.1.2 OOCによる増殖期 {eF=0, γ>0}

増殖期 {eF=0, γ>0},減衰期 {eF=0, γ<0}
OOCによる条件{静止期,休止期}{eF=0, γ=0}は、生命と非生命と同じ(条件)です。

1.2 SOCとしての在による定常期の表記 (C3 SOC: Low level), in OOC is γ =0 (eF=0).

死細胞 単細胞〜細胞連続体 生命の減衰期

2非生命の定義
2.1 SOCによる無極体 (High Level SOC) Noは基本１です。

pC2 = pC2 + pC2

以上は無内極の在です。もしこの式にてｐC３が生じたら、それは人工生命です。
2.2低レベルSOCは、

2.3 OOCによる非生命、人工生命も含む

非生命の定義としてeF>0は必要条件、しかし必要十分条件ではない。
3生命と非生命が同じ条件 原極(相対原極、絶対原極)
{eF=0, γ=0} in OOC is same condition in Life and non-Life.
4 動きのみ
OOC における{eF>0, γ=0}は、単に純粋に、動きのみ
5 生命の定義の結論 SOC
生命は、pC3極集合における極連続(単極も含む)である。SOC
生命体は、内極を有する内場である在である。SOC
(生命はｐC3です。生命体は、内極付きの在です。) SOC
Discussion
0 生命の定義
pC3は、SOCによる生命の定義となる。
SOCでの条件は、pC3が生命の定義となり、生命を確定できる。
生命は、OOCでは、定義も確定もできない。
OOCの条件では、生命は、定義、確定できない。
0.1 SOC
生命は、pC3極集合における極連続(単極も含む)である。SOC
生命体は、内極を有する内場である在である。SOC
(生命はpC3です。生命体は、内極付きの在です。)
0.2 OOC, SOC 生命、非生命に共通項
N=f(eF) SOC, γ=g(eF) OOC
{eF=0, γ=0} in OOC is same condition in Life and non-Life. at RO and AO
0.3 OOC
0.3.1 生命 pC3 (Np≧1, Wp=0)
{eF=0, γ>0} OOCによる生命増殖期
{eF=0, γ<0} OOCによる生命減衰期
{eF=0, γ=0} OOCによる生命定常期 絶対原極の期と定常期の区別はOOCではつかない。
eF=0は静止(期)、
0.3.2 非生命
非生命または生命に関連しない動き
eF>0は、非生命の必要条件。
{eF>0, γ>0}γ=g(eF)
{eF>0, γ=0}は、単に純粋に、動きのみ

eF>0は、非生命の必要条件
―−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−−
1 生命
1.1 内場の存在
内場の存在は、C1, C2, C3 and C4 RDEにより観察(証明)される。位相分類に従い、
在は、内極により作られた内場を有する。ゆえに、生命の前提は、極により分離された独立した内場を持つ事である。実際の検出一例は、染色です。(活性度を計測できる染色が最適です。) (in vivo では、在と極は、細胞染色などにより検出できる。) さらに、どのような方法でも境界がわかる方法を使用してもよい。
1.2 RDEの極側
1.2.1 RDEの右辺から示される左辺極は、連続体である。さらに詳細には、右辺の在の差分は、極連続である。単体の場合は、生命の減衰期となる。
1.2.2 生命はRDE解γ>0, 内場を形成し,内場の連続体であり,その極はpC3 (値)≠0を示す.
1.2.3 外力は、式４ (を使用して)より、除く。(一例：泡などは、外力による生成である。)
1.3 RDEの在側
1.3.1この式群から観れば、水は、生命である。
2非生命(非生物, 非生命体)
非生命(非生物, 非生命体) はpC3値=0, またはRDE解γ=0, 数が一定で、式４の値が０以外の値を示す。(非生命体は、外力のみの関係、状態)
Discussion
1 位相分類は、自然を要素化した分類であり、その要素から生じた(原始)演算子と、その演算子からなる方程式は、マクロから量子までを同じ基準で記述できる。
さらに、その演算子は自然そのものである. ゆえに、その演算子は、生命、非生命、準生命を定義、記述できている。(のが自然である)(と考えられる のが自然である)
2 この一連の演算子と式に間違い、矛盾がなければ、本数学(Real Mathematics)は、自然界の統一理論である。
pC1はK軸, pC2はG軸(その内極はZ軸), pC3はL軸で表現できる それらは直交している
在と極は、直交している。
3 pC3連続体は、n次元宇宙空間(n≧1,正の整数)と考えられます。(ここでは単極も含む)
一方、非生命体に対する連続体形成(独立した泡, 人工細胞, ボールなど)のための外力は、我々の宇宙空間において保存されている。(我々の宇宙空間において外力の積分値(合計値)はゼロです。)、
さらに詳細に、さらに具体的に、
非生命体のゼロ外極における外力である各種力は、１つの閉じた宇宙空間に、慣性系として、保存場を構築している。
慣性系でもエネルギーの授受は、局所において観測されるが、１つの閉じた空間では、保存場となる。それは、古くはドップラー現象が教える所である。
4 以上より,
4.1 生命とは、外力の影響がない状態(外力ゼロ)にて、外極のNp値がNp>0(整数)pC3極集合です。それに対応する生命体は、内極体(在)である。
これによれば、生命は、pC3 continuum(include single)におけるNpの値とPoにて表記される。すなわち、pC3極集合(単極も含む)が生命の本体を示す。
4.2 以上から、内極に接続可能な在でありpC3のNpを増加させる在は、準生命体である。一例としてウィルス、プリオン
5 pC1ゼロ外極は、開いた極からなる閉じた空間である我々が存在している宇宙を示す。
6 ガンの定義(生命からの定義)
6.0 単極Np=1にて(またはNpがより１に近づくほど)、γがより大きいほど危険である事がわかる。(ガンは、γ上昇、Np低下)
(活動する組織中での白血球の機能が他の細胞に転写された様相、D(N)L+1多がよくない状態)( D(N)Lは、残骸白血球、古い白血球、Nは、Neutrophil好中球, A(N)Lは、活性白血球)
(ちなみに、正常細胞、微生物は、細胞分裂にて、γとNpが、ともに上昇する。)
6.0.1 ガンリスクの数値化
Npがより１に近づくほど(Np→1)、かつ、γがより大きいほど危険である。ので
γ／Npが大ほど、リスク大 となる。D(N)L+1が多いほどリスク大となる。
適当な係数を乗してもよい。
在(側)への、pC3極集合体からNp＞＞０状態からの過度な生命力、そして在側の連続体解除(消滅)によるNp→1の収束(力)による、ブレーキのかからない、さらなる過度な生命の供給が、ガン(の定義)となる。
6.1 SOC
6.1.1 pC3連続体の単位時間あたりの多さ(Np値)が、ガンの程度における診断基準となる。
6.1.2 我々の時空間の時の流れが一様連続なら、細胞の時空間連続体における単位固定時間(τ帯)あたりの個数の多さがNp値となる。
6.2 OOC
γの異常増加も観られるが、ガンのみにおける本質ではない事を示唆している。
7 以上の結果より、ガンの治療は、Npを大きくすること(連続体の形成促進,接着性の向上でもある)、γを小さくすること(増殖、転移抑制)となる。さらに良いのは、D(N)Lの消滅となる。その指標となるのが時空間連続情報τSCとなる。
ゆえに、
D(N)L＋１が多量に、存在する病巣に関して、その(慢性炎症の)沈静化(Npを大きく,γを小さくする。またはD(N)Lを消滅させる事が最もよい。) が予防となり急務である。この時、時空間連続情報τSCを破壊してはならない事は、言うまでも無い。
まとめると
[細胞連続体の形成促進とγの抑制、沈静化] 又は／と 炎症の侵襲原因の消滅
そして、ガン細胞の細胞膜破壊(内極破壊は、ガンの生命解除) となる。
[細胞膜同士の結合促進剤とγ抑制剤] 又は／と炎症の侵襲原因消退への薬剤、 細胞膜破壊材 が薬剤となる。
8 がんを始めとし、炎症をその核にしている病気は、多く、かつ、侵襲的な病気は、その全てが、炎症により診断できる。そして、言うまでも無く、それら侵襲的病気は、炎症の程度をもって、病気の程度、そして、治療の効果、を計る行為は、医療の基本中の基本である。
ゆえに、
τSCを使用したバイオマーカーの臨床での検査確立が急務である。
注意
(τSC:固定された時空間連続情報fixed time space continuum information)
時空間連続体(τSC: L³T^-1)
8.1 目的と効果
がんを始めとし、炎症をその核(Core)や鍵(Key)にしている病気は多く、かつ、侵襲的な病気は、その全てが炎症により診断できる。
そして、言うまでも無く、それら侵襲的病気は、炎症(の組織傷害)の程度(時空間連続体計測)をもって、その診断(名)の決定(演算)がなされる、そして治療の効果の判定(演算)は、その程度にもとづく。それらは医療の(基本中の)基本である。
予防、治療の一例として、(慢性)炎症の高感度な検査、それにもとづく早期発見、早期診断と早期処置は、ガンを始めとした慢性炎症起点の疾病に大きな効果をもつ。さらに多段階の検査、診断は、過不足の無い治療を提供する。したがって、
慢性または急性炎症を、感度良く、多段階に、正確に、計測でき診断する事は急務である.
しかしながら、
周知のごとく、炎症の診断名を示すその傷害を計測できるバイオマーカーはありません。そして、なぜ白血球数計測(Leukocyte Count)(フローサイトメトリーを含む)が、炎症を計測するのに使用できなかったのかも不明でした。(特にVirchow 時代以降) しかし、水(溶液)処理された白血球連続体による固定された時空間連続体バイオマーカーは、以下の従来におけるstructural bioinformaticsの問題群をこえて、それを可能とする。
具体的な一例として、
歯周炎で示したごとく、急性炎症が原因の病気においては、
時空間連続構造が、ある一定以上の大きさになってゆっくに従い、対応する処置が高度化してゆく。
一方、慢性炎症が起点となるガンにおいて、
公知の事実として、ガンは、慢性炎症の果てに生じる事が、多々報告されている。この場合は、炎症連続体が小さく、そして多くなる方向で、対応する処置が高度化する。
[変形例]
他の疾病に関しても、細胞自体や、その内容物において、時空間構造の変化(特に増大)pC3連続体(単極も含む)が、処置の機転、すなわち、生命の危険の程度、の判断基準としてもよい。

F1 骨髄の細胞連続体で白血球などが生成される。 生命連続体 連続生命体 細胞連続体
細胞増殖期は、生命の増加を示す。そして血管に細胞単体が投与される。減生命体 単細胞生命体
F2 白血球は、水に触れると連続体を形成する。
白血球を水に漬すと、連続体形成する。これは、在側より極側への生命の増加,伝播である。
ゆえに、(この式から考察すれば、)水は、生命となる。水は、生命のアクセラレータと言える？ ネクローシスは、在側より極側への負の生命増加,伝播、アポトーシスは、極側より在側への生命増加,伝播。
F3 細胞膜がバーストして生命が消滅する。
以上、式をソフトや、ハードで実現すれば、容易に装置が作成できる。高校生程度の工作

附則６） Definition of the DNA in the Life
UENの式１により、DNAの２つのらせんは、

以上のごとく、この式は、DNA２重らせんに対応しているなど、UENは、DNAも表現している事が観て解る。
この場合、
内極は、左右のStr在が有しており、その合成Field(平面,なめらかな曲面)の位相nにおいて極(KのUZai)が接続している事になる。
ゆえに、
外極

は、塩基対の接合部となる。この外極は、pC1となるので、生命は無い。一方、白血球連続体のような細胞膜という内極による(細胞)連続体は、pC3連続体（単極も含む）となるので生命を示す。（図１５）
生命とDNAの関わり合いは、pC3 UEN中にpC3が、どう出現するかなどで、判明する。具体的には、左辺 外極 が極連続体となるか否かである。そして、素粒子が粒子へ移行するがごとく、この式においてDNAも全く同じ挙動をしめす。DNAの(構造)式と、素粒子の(構造)式 が同一なのは、非常に興味深い。

SRDE
State 4 Heterogeneous Homeomorphic Interference Differential Equation (dksp IDE),

rd is the Relative Differentiation Operator, n and m are the phase values (integers), τ is the time of τ, τ_time (potential, potential). N is the number (positive integer). ₁ N and ₂ N exist 1 And existence 2.

_{Existence 1 (1} N) (right Str) when C4 interference occurs

) And Existence 2 ( ₂ N) (left Str

) Are as follows individually.

₁ N leukocyte count, ₂ N leukocyte count, ε is the interference coefficient, ε ₁₂ is the leukocyte fagosite number coefficient, ε ₂₁ is the leukocyte call (cytokine) coefficient for the antigen, τ is τ time, fixed The time, which is the potential possessed by the aqueous solution-treated leukocytes of Examples, and the fixed time indicated by the treated leukocytes.
γ is (| | is an absolute value.)

Other interference relative differentiation
Let Gr be a graviton (a type of sky Po)
C3 gravity pair

C4 gravity pair

C4C3C4 continuous gravity pair

C1 gravity

C2 gravity

When matched with the above measurement,

dg is the matching factor

How to find the solution of RDE Solution method
One-variable separation of variables C3 RDE is (one of the subdivisions) (τ: hour, N: number)

Where N is

Examining the above formula C3 RDE

Bundling to C3 MuZai (C3MZB), C1 and C2 are direct bundling (because they use the same StrZai)

And here, C1, C2, C3, respectively,

Will be.
Move τMuZai term to the right side

C1, C2, C3 (abbreviated) are each

When these two sides are divided and quadratured,

C1, C2, C3 (abbreviated) are each

'×' is orthogonal multiplication. '&#8901;' is parallel multiplication.
Will be.

Here, the right side is an integral with respect to 1.

In other words, the right side does not change (Supplementary), only the left side,

C1, C2, C3 (abbreviated) are each

The left side LHS (for the right side, refer to the supplementary sample) is simply a section.

Because it is a quadrature for
(In the lower row, the Str part is abbreviated)

Simply section

Since it is a quadrature of variables, it is proved that the solution of RDE is obtained by separation of variables.
Then, the same applies to the indefinite section division quadrature (Supplementary indefinite section division quadrature).

Or, in the case of indefinite interval integration (Supplementary separation of variables),

Therefore, the solution of RDE is obtained, and it is proved that RDE is a derivative. The same is true for MathCad. Here, since both sides are similarly limited, there is no change in View. (StrZai is absorbing.)

That is,
The fine decomposition of RDE is

Will be. Similar to RDE, these can also be circuited by aggregates such as leukocyte aggregates (including continuums, of course).
(Supplementary separation of variables)

(Supplementary indefinite section division quadrature)

Find the area surrounded by f (x), x _b , x, and x _a by the segmented quadrature method.

The x-axis scale is the scale of k every nth root. And the area of each section is (vertical and horizontal)

The following example

The total rectangular area from x _a to x _{b is}

The result of the section division quadrature is (

)

Then, the indefinite section division quadrature is

―――――――――― About Origin, AO, RO ――――――――――――
About n that is basically used, about Origin,
n is the origin. Local Field AO and RO are the same (Local Field Origin has the same AO and RO)
The phase "n" where the right Str and the left Str meet or separate is "AO".
The conjugation Kyoku of Zais of the different Str is "AO".
The junction pole (tangent pole) of different Str is AO.
The conjugation Kyoku of Zais of the same Str is "RO".
The junction pole (tangent pole) of the same type of Str is RO.
―――――――――― About Origin, AO, RO ――――――――――――
―――――――――― RDE Supplement ―――――――――――――――――――
N Number of observation targets, Po empty potential is τ, phase potential pPo = m, m is phase potential, γ is solution coefficient, number of pure elements pEN = 1 (refs 1-8).

Supplementary Provision 2) ω3 operator (ω3)
The grid that makes it easier to observe orthogonal operations is defined below as the ω3 grid, simply ω3. (Ω3 grid simply ω3) Here, the ω3 operator is defined as follows. G, K, and Z mean axes, respectively. However, the subscripts are the value Ex in each axis, the number of phases Np (Wp if only phase classifications 1 and 2 are used) ,.

And the calculation rule between each axis of K, Z, G, is

To give an example of the ω3 matrix,

(Signs such as −Δ ± can be removed if Δ is independent.) Furthermore, parallel computing is

Here, you may use dots like C ++ to display the members of the ωx grid (x is an integer such as 1,2,3), such as | .Ex, ^ωx | .Ex, etc. (Basically G The axis indicates the existing axis, the K axis indicates the polar axis, and the Z axis indicates the existing internal polar axis. Note that the K axis may exist.)
Supplementary Provision 3) Distinguishing between the sign of the absolute value and the sign of the pole The normal absolute value is

If omitted (for example, if the description becomes too complicated)

The relative absolute {Relative Absolute-value Operator (RAO)} for finding the absolute value for Str, (absolute value for relative operator), is expressed as A,

Supplementary Provision 4) Relative τ ratio
relative τ ratio Difference in biological time (time series) between individual organisms
Difference of the (biological) τ between each (living) thing


Supplementary Provision 5) Definition of Life
New version
Σ | on the right side pC3, single on the left side or a combination of a continuum and a continuum Claim 1
The biological activity measuring device is
It is a device that measures the activity of life by measuring the extremum in the phase classification 3 (pC3) polar set (single pole, intermittent pole, continuous pole).
It consists of a cell number measuring means for measuring the number of cells, a cell time measuring means for measuring the cell time from the cell activity, and a relative differential equation means for calculating the cell activity with the cell number and the cell time as independent variables. Biological activity measuring device characterized by the above claim 2
The biological activity measuring device is
It is a device that measures the activity of life by measuring the extremum in the phase classification 3 (pC3) polar set (single pole, intermittent pole, continuous pole).
It consists of a cell width measuring means for measuring the cell width, a cell time measuring means for measuring the cell time from the cell activity, and a relative differential equation means for calculating the cell activity with the cell width and the cell time as independent variables. Claim 3 of a biological activity measuring device characterized by the above
The biological activity measuring device is
It is a device that measures the activity of life by measuring the extremum in the phase classification 3 (pC3) polar set (single pole, intermittent pole, continuous pole).
It consists of a cell area measuring means for measuring the cell area, a cell time measuring means for measuring the cell time from the cell activity, and a relative differential equation means for calculating the cell activity with the cell area and the cell time as independent variables. Claim 4 of a biological activity measuring device characterized by the above
The biological activity measuring device is
It is a device that measures the activity of life by measuring the extremum in the phase classification 3 (pC3) polar set (single pole, intermittent pole, continuous pole).
It consists of a cell volume measuring means for measuring cell volume, a cell time measuring means for measuring cell time from cell activity, and a relative differential equation means for calculating cell activity with cell volume and cell time as independent variables. The cell activity measuring device according to claim 5, wherein the cell activity measuring device is characterized by the above.
The cell activity measuring device according to any one of claims 1 to 4 is provided with a phase conversion means characterized in that any one of its actual width, area, and volume is converted into a phase value by dividing by Po. A cell activity measuring device characterized by the fact.
1 Nature is classified by phase, and inflammation is expressed (expressed) using operators derived from the classification (operators that elementize nature: pC1, pC2, PC3: above and below, Text S1). Then, in that operator, the basic element of the pC2 presence operator, which represents the existence, showed uncertainty in the macro. (The above and below, Text S2) Furthermore, the operator also shows the quantum consistently. (Above and below, Text S3)
Of course, if these operators were able to elementize nature, then life would be represented there. Therefore, I tried to show life with these primitive operators (pC1, pC2 and pC3). , The definition of life.
(The conventional mathematics that can be expressed as a vector is pC4. Above and below, Text S4)
2 From the phase classification, the (element) operators generated by (elementizing) leukocytes (bacteria, cells) (of Macro) are poles (zero outer pole, no outer pole) pC1, existing (inner pole) pC2, External poles pC3, and interval pC4. (Therefore, there is an unclassified pure number PEN) (above and below, Text S1: phase Class)
Primitive operators that elementize nature are made up of pC1 (zero outer pole), pC2 (Zai) and pC3 (Kyoku set). Among them, the element operator of existence was the uncertainty present UZai indicating uncertainty. (The above and below, Text S2: UZai) In fact, the macro element is also the uncertainty MUZai, and the quantum element. It is common with elementary particles that are (above and below, Text S3 UEN). Here, the difference between quantum and macro is whether or not there is View (observation act).
As a result, (all) nature is at the elementary particle, macro, cosmic level (one or more), and all fields (time) by RDE and CDE (with View) as equations consisting of primitive operators and them. Space, inner field, outer field) can be expressed without contradiction.
Life is shown as a connection between the inner pole and the pC3 outer pole (from a single pole to a pole continuum) at an external force of 0 (zero).
During the self-proliferation phase, the pC2 inner pole continuum corresponds to the pC3 outer pole continuum.
In the single cell phase (decay phase), the pC2 inner pole alone corresponds to the pC3 single outer pole.
The pC1 (open field) zero outer pole becomes one of our closed outer spaces.
It indicates a conservative field.
Materials and methods
1 Existence of internal pole The existence of internal pole is proved by the presence generated from the phase classification and the RDE generated from the pole. Extreme continuity is also proved by RDE. (From the left side to the right side)
Detection and confirmation of 2 poles (single pole, continuous pole) (continuous pole and pole continuous are synonymous)
2.1 RDE (as SOC)
C1 and C2 can be derived from C3, in this case Po = τ

Uses C3 and C4 Relative Origin (Kyoku)

As mentioned above, these equations can express numbers and magnitudes (volume, area, width).
2.2 Primitive state is

t is the hour and τ is the τ hour. n, m, l are the phases (values) (n ≧ 0, m ≧ 0, l ≧ 0).
Any value may be used for the variable.

2.3 Pole notation

2.4 Phase class 1 (pC1); Zero outer pole, our outer space

2.5 Phase class 2 (pC2); present (existence),

It has an internal field on the G-axis and an internal pole on the Z-axis. The inner pole on the Z axis is synchronized with the outer pole on the L axis. The Z-axis inner field is defined and observed as a living organism, and the L-axis outer field is defined as life.
2.6 Phase class 3 (pC3);

A polar set (including a single pole) has an external pole on the L axis with respect to a zero external field on the K axis. The L-axis external field is the definition of life.
2.7 2.7

The polar set, Ex, is orthogonal to the G axis.
2.8 Therefore, the right side of RDE shows the polar continuum (including unipolar) due to the difference of the continuum (including single), so the left side of RDE shows unipolar or polar continuum.
3 γ detection definition
3.1γ of RDE as OOC
C1, C2, C3

C1, C2, C3 are

N is (next | | is RAO.)

therefore

C4 is

therefore

4 External force detection and definition
RDE
External force (state) against the pole

Time is defined by the continuum. Therefore time is defined as one of life.

5 Phase class 4 (pC4); Vector: Vector (s) (at zero) (Ex is parallel to the G axis)

Since pC2 and pC4 are Wp ≠ 0, pC2 and pC4 are parallel,
PC1 and pC3 with Wp = 0 do not have to be parallel.
Conclusion
1 Definition of life by SOC & OOC (definition of existence with poles)
1.1.1 SOC Proliferation Phase (C3 high level SOC)

pC3 = pC2 + pC2
L = Z + Z
By the way, during the rest period,

pC1 = pC2 + pC2
And the decay period is

pC3 = pC2 + pC2
The biopathological condition calculation means is a means that realizes the above calculation by SOC or OOC. Specifically, as a specific example of SOC, various cells, microorganisms, and active leukocytes (aggregates, continuums, and single bodies) are used as parts. However, it is a means for converting the proliferation, pause, and attenuation into data (video data, numerical data, geometric data, etc.) by observation means such as a microscope. Further, as a specific example of the position of OOC, it is a means for measuring proliferation, rest, and attenuation in SOC images captured inside a computer and in internal pole units such as cell membranes possessed by them. These are specific examples, and any means may be used as long as the proliferation, pause, and attenuation in the inner pole unit can be measured, including the number measurement in the inner pole unit.
1.1.2 Proliferation phase by OOC {eF = 0, γ> 0}

Proliferation phase {eF = 0, γ> 0}, decay phase {eF = 0, γ <0}
The OOC conditions {stationary period, resting period} {eF = 0, γ = 0} are the same (conditions) as life and non-life.

1.2 Steady-state notation by presence as SOC (C3 SOC: Low level), in OOC is γ = 0 (eF = 0).

Dead cells Single cell to cell continuum Attenuation phase of life

2 Definition of non-life
2.1 High Level SOC No by SOC is Basic 1.

pC2 = pC2 + pC2

The above is the existence of no inner pole. If pC3 is generated by this formula, it is artificial life.
2.2 Low level SOC

2.3 Including non-life and artificial life by OOC

As a definition of non-life, eF> 0 is a necessary condition, but not a necessary and sufficient condition.
3 Conditions for life and non-life are the same. Primary pole (relative primary pole, absolute primary pole)
{eF = 0, γ = 0} in OOC is same condition in Life and non-Life.
4 movement only
{EF> 0, γ = 0} in OOC is just pure movement
5 Conclusion of the definition of life SOC
Life is a polar set (including a single pole) in the pC3 polar set. SOC
A living organism is an inner field that has an inner pole. SOC
(Life is pC3. Life forms are with internal poles.) SOC
Discussion
0 Definition of life
pC3 is the definition of life by SOC.
As for the condition in SOC, pC3 is the definition of life, and life can be determined.
Life cannot be defined or finalized in OOC.
Under OOC conditions, life cannot be defined or determined.
0.1 SOC
Life is a polar set (including a single pole) in the pC3 polar set. SOC
A living organism is an inner field that has an inner pole. SOC
(Life is pC3. Life forms are with internal poles.)
0.2 OOC, SOC Common items for life and non-life
N = f (eF) SOC, γ = g (eF) OOC
{eF = 0, γ = 0} in OOC is same condition in Life and non-Life. At RO and AO
0.3 OOC
0.3.1 Life pC3 (Np ≧ 1, Wp = 0)
{eF = 0, γ> 0} OOC-induced life growth phase
{eF = 0, γ <0} Life decay period due to OOC
{eF = 0, γ = 0} OOC-based life stationary phase OOC cannot distinguish between the absolute primary phase and the stationary phase.
eF = 0 is stationary (period),
0.3.2 Non-life Non-life or non-life related movements
eF> 0 is a non-life requirement.
{eF> 0, γ> 0} γ = g (eF)
{eF> 0, γ = 0} is just pure movement

eF> 0 is a non-life requirement -------------
1 life
1.1 Existence of the in-field The existence of the in-field is observed (proven) by C1, C2, C3 and C4 RDE. According to phase classification
The present has an inner field created by the inner pole. Therefore, the premise of life is to have an independent inner field separated by poles. An example of actual detection is staining. (Staining that can measure activity is optimal.) (In vivo, the presence and poles can be detected by cell staining, etc.) Furthermore, any method may be used to identify the boundary.
1.2 Polar side of RDE
1.2.1 The left side pole shown from the right side of RDE is a continuum. More specifically, the difference in the presence of the right-hand side is extremely continuous. In the case of a single substance, it is a period of decay of life.
1.2.2 Life is an RDE solution γ> 0, which forms an infield and is a continuum of infields, the poles of which show pC3 (value) ≠ 0.
1.2.3 External forces are excluded from Equation 4 (using). (Example: Bubbles are generated by external force.)
1.3 RDE side
1.3.1 From this group of formulas, water is life.
2 Non-living (non-living, non-living)
For non-living (non-living, non-living body), pC3 value = 0, or RDE solution γ = 0, the number is constant, and the value of Equation 4 indicates a value other than 0. (Non-living bodies have a relationship and state only with external force)
Discussion
1 Phase classification is a classification in which nature is an element, and the (primitive) operator generated from that element and the equation consisting of that operator can be described from macro to quantum with the same criteria.
Moreover, the operator is nature itself. Therefore, the operator can define and describe life, non-life, and quasi-life. (It is natural) (It is natural to be considered)
2 If there is no mistake or contradiction in this series of operators and formulas, this mathematics (Real Mathematics) is a unified theory in the natural world.
pC1 can be represented by the K-axis, pC2 by the G-axis (its inner pole is the Z-axis), and pC3 by the L-axis. They are orthogonal.
The 3 pC3 continuum is considered to be n-dimensional outer space (n ≧ 1, positive integer). (Including single pole here)
On the other hand, the external force for continuum formation (independent bubbles, artificial cells, balls, etc.) for non-living bodies is conserved in our outer space. (Integral value (total value) of external force is zero in our outer space.),
More in detail, more specifically
Various forces, which are external forces at the zero outer pole of non-living organisms, construct a conservation field as an inertial system in one closed outer space.
Energy transfer is observed locally even in an inertial frame, but in one closed space, it becomes a conservative field. That is where the Doppler phenomenon teaches in ancient times.
From 4 and above,
4.1 Life is a set of 3 poles with Np> 0 (integer) pC in which the Np value of the external pole is Np> 0 (integer) in the state where there is no influence of external force (zero external force). The corresponding life form is the internal polar body (existing).
According to this, life is represented by the value of Np and Po in pC3 continuum (include single). That is, the pC tripolar set (including unipolar) represents the body of life.
From 4.2 and above, the existence that can be connected to the inner pole and increases the Np of pC3 is a quasi-living body. Virus, prion as an example
The 5 pC1 zero outer pole represents the universe in which we are located, a closed space consisting of open poles.
6 Definition of cancer (definition from life)
6.0 At unipolar Np = 1 (or as Np gets closer to 1), it turns out that the larger γ is, the more dangerous it is. (Cancer increases γ, decreases Np)
(The function of leukocytes in active tissue is transcribed into other cells, D (N) L + 1 is not good) (D (N) L is debris leukocyte, old leukocyte, N is Neutrophil neutrophils, A (N) L are active leukocytes)
(By the way, in normal cells and microorganisms, both γ and Np increase during cell division.)
6.0.1 Quantification of cancer risk
The closer Np is to 1 (Np → 1) and the larger γ is, the more dangerous it is. Therefore, the larger the γ / Np, the greater the risk. The greater the D (N) L + 1, the greater the risk.
You may multiply by an appropriate coefficient.
Excessive vital force from the Np >> 0 state from the pC3 polar set to the current side, and further excess without braking due to the convergence (force) of Np → 1 due to the release (disappearance) of the continuum on the current side. The supply of life is (definition of) cancer.
6.1 SOC
6.1.1 The number of pC3 continuums per unit time (Np value) is a diagnostic criterion for the degree of cancer.
6.1.2 If the flow of time in our space-time is uniform and continuous, the number of cells in the space-time continuum per unit fixed time (τ band) is the Np value.
6.2 OOC
An abnormal increase in γ is also seen, suggesting that it is not the essence of cancer alone.
7 Based on the above results, cancer treatment is to increase Np (promote the formation of continuums and improve adhesiveness) and decrease γ (proliferation and metastasis suppression). Even better is the disappearance of D (N) L. The index is the spatiotemporal continuous information τSC.
therefore,
For lesions with a large amount of D (N) L + 1, their (chronic inflammation) calming (increasing Np, decreasing γ, or eliminating D (N) L is best) is preventive. There is an urgent need. Needless to say, at this time, the spatiotemporal continuous information τSC must not be destroyed.
Summary
[Promotion of cell continuum formation and suppression of γ, calming] or / and disappearance of the invading cause of inflammation, and cell membrane destruction of cancer cells (internal pole destruction is the release of cancer life).
[Cell membrane-to-cell membrane bond-promoting agent and γ-suppressing agent] Or / and a drug for eliminating the invasion cause of inflammation, a cell membrane-destroying material is a drug.
8 There are many diseases such as cancer whose core is inflammation, and all invasive diseases can be diagnosed by inflammation. And, needless to say, in these invasive diseases, the act of measuring the degree of illness and the effect of treatment with the degree of inflammation is the basis of medical treatment.
therefore,
There is an urgent need to establish clinical tests for biomarkers using τSC.
caution
(τSC: fixed time space continuum information)
Space-time continuum (τSC: L ³ T ^-1 )
8.1 Purpose and effect There are many diseases that have inflammation as their core or key, including cancer, and all invasive diseases can be diagnosed by inflammation.
And, needless to say, those invasive diseases are diagnosed (calculated) based on the degree of inflammation (tissue injury) (spatiotemporal continuum measurement), and the effect of treatment is judged. (Calculation) is based on that degree. They are the basics (in the basics) of medicine.
As an example of prevention and treatment, highly sensitive examination of (chronic) inflammation, early detection based on it, early diagnosis and early treatment have great effects on diseases originating from chronic inflammation such as cancer. Furthermore, multi-step examination and diagnosis provide just enough treatment. therefore,
There is an urgent need to measure and diagnose chronic or acute inflammation in a sensitive, multi-step, accurate manner.
However,
As is well known, there is no biomarker that can measure the injury that gives the diagnosis of inflammation. It was also unclear why Leukocyte Count (including flow cytometry) could not be used to measure inflammation. However, fixed spatiotemporal bioinformatics with water (solution) treated leukocyte continuums (especially after the Virchow era) make it possible beyond the following traditional structural bioinformatics problems.
As a concrete example
In diseases caused by acute inflammation, as shown in periodontitis,
As the spatiotemporal continuous structure becomes larger than a certain size, the corresponding measures become more sophisticated.
On the other hand, in cancers that start from chronic inflammation,
As is known, cancer is often reported to occur at the end of chronic inflammation. In this case, the corresponding treatment becomes more sophisticated as the inflammatory continuum becomes smaller and larger.
[Modification example]
For other diseases, changes in spatiotemporal structure (especially increase) pC3 continuum (including unipolar) in the cells themselves and their contents are criteria for determining the mechanism of treatment, that is, the degree of life-threatening. May be.

White blood cells are produced in the cell continuum of F1 bone marrow. Life Continuity Continuous Life Cell Continuity The cell proliferation phase indicates an increase in life. Then, a single cell is administered to the blood vessel. Unicellular organisms Unicellular organisms
F2 leukocytes form a continuum when exposed to water.
When leukocytes are immersed in water, they form a continuum. This is the increase and propagation of life from the resident side to the polar side.
Therefore, water (considering from this equation) is life. Is water an accelerator of life? Necrosis is negative life increase and propagation from the polar side to the polar side, and apoptosis is life increase and propagation from the polar side to the polar side.
The F3 cell membrane bursts and life disappears.
As described above, if the formula is realized by software or hardware, the device can be easily created. High school student work

Supplementary Provision 6) Definition of the DNA in the Life
According to UEN's equation 1, the two helices of DNA are

As described above, it can be seen that UEN also expresses DNA, such as this formula corresponds to a double helix of DNA.
in this case,
The inner pole has the left and right Str, and the pole (UZai of K) is connected at the phase n of the composite field (plane, smooth curved surface).
therefore,
External pole

Is a base pair junction. Since this outer pole becomes pC1, there is no life. On the other hand, a (cell) continuum with an internal pole called a cell membrane, such as a leukocyte continuum, becomes a pC3 continuum (including a single pole) and thus shows life. (Fig. 15)
The relationship between life and DNA is clarified by how pC3 appears in pC3 UEN. Specifically, it is whether or not the left outer pole is a polar continuum. Then, just as elementary particles migrate to particles, DNA behaves exactly the same in this equation. It is very interesting that the (structural) formula of DNA and the (structural) formula of elementary particles are the same.

The infinite speed arithmetic unit of the first embodiment is made from white blood cells. 1 to 31, especially FIGS. 3, 17, 17, 18, and the like.

分子A：化学式：Ｃ₂₇Ｈ₂₉N_２NaO_７S_２ ： 分子量580.66 ：
一般名 食用赤色106号 アシッドレッド 蛍光あり,主に,水溶液として使用する.非水溶液系でも使用ができる.一例として、水処理白血球に使用すれば、生物活性時間が観察できる。この時間は、位相時間として使用ができる。
[効果]
1 炎症の程度、将来などの演算ができる。など侵襲的病気の程度、将来などが計算できる。
在演算手段や極演算手段は、その形成時間を除き、演算時間が０となる効果をもつ無限速演算装置である。
2 白血球を生体の病巣におき、前記の回路形成を行えば、炎症の程度や将来を演算してくれる。
3 人工的に作成された在演算手段、極演算手段、Str演算手段は、前記演算諸例のいずれかひとつまたはその組み合わせを演算する演算装置である。
[理解を助ける段落] SOC+OOC ハイブリッドコンピュータ
上記例など実施例においては、SOCとOOCの混合型コンピュータ（ハイブリッドコンピュータ）を開示した。ここで、各々の部分の演算手段を説明する。
自己演算型コンピュータであるSOCは、
被演算物自身が、その演算目的における演算を成すための演算手段の形成を、自立的に成すための自己演算手段形成手段と、
前記演算のための演算手段が形成されるに従い、前記演算を自立的かつ自動的に演算する自己演算手段とを、
少なくとも備える事を特徴とする自己演算型コンピュータ。
1 SOC 自己演算型コンピュータ, 自己演算型演算手段, Self Operating Computer
1.1 SLL単層白血球集合体{Single Layer Leukocyte(s)}(SLL)(一例とし図18左の白血球クラスター円形のエンベロープで囲まれた７個の白血球)の傷害の大きさは,C1 RDEの第１項である.

ちなみにC1は、

である。ｍ＝１であり、単一のτを示している。ここではτは、空間と時間の両者を表現できる。純数として使用もできる。それらの変換(移行)は、「束ね」(bundle)と「分配」(distribute)である。
SLLは、C1-RDEの他方のNがゼロまたは不明の２つの場合がある。不明の場合は、計算不能であるが、他項ゼロの場合は、MLCと同様に計算できる。
他項がゼロの場合は、
AL{活性白血球(群)}の場合は、急性段階 (acute stageであり、N₂ > 0 and N₁ = 0である)
DL{白血球残骸(群)}の場合は、治癒段階(improved stage でありN₂ = 0 and 0 < N₁である。).
活性白血球の呼び名は、新白血球でもより。白血球残骸は、旧白血球でもよいし、壊滅または破壊白血球と呼んでも良い。
他項不明の場合は、他項がどのような値を示しても、
ALsは、現在の炎症を示す。
DLsは、過去の炎症を示している。そして、
LCのサイズがより大きければ、傷害のサイズも大きい。
自己演算手段、演算回路形成、そして自己演算手段形成手段
白血球などの細胞においては、保存的に採取して、採取物に水を添加し水処理する事により演算手段(演算回路)が形成されると同時に演算が開始され、回路形成終了後に同時に演算も終了しているので、回路の製造時間を加味しない現状の速度比較でゆけば、無限速演算装置の完成となる。言うまでも無いが素粒子から惑星単位まで、どのような素材を使用してもよい。
すなわち、自己演算手段形成手段とは、ここでは、水処理または、水溶液処理手段である。被演算物は、白血球である。そして、前記演算を自立的かつ自動的に演算する自己演算手段は、水処理または水溶液処理白血球である。その演算は、SOCにおける方程式に明確に示されている。
観察手段は、顕微鏡手段である。顕微鏡手段は、蛍光顕微鏡や、位相差顕微鏡などである。その機能として、被演算物の大きさ、個数、時間分布、活性度などが計測できる顕微鏡を使用しても良い。
ここでは、白血球を使用したが、いかなる細胞、粒子を用いてもよい。
ハイレベルSOCとしては、 C1 RDE である

となる。

1.2 MLC多層白血球集合体 {Multilayer Leukocyte Continuum (MLC)(一例とし図17C))}の傷害の大きさは、m=1におけるC1 RDEのNewer side term（より新しい白血球集合体の項）が表示している。
Newer side term is

as SOC, older side term is

となる。
1.3 SLC String Leukocyte Continuum (SLC) (一例として図３)の傷害の大きさは、W(S)TLの個々の大きさである。（SLCは、白血球一個の直径に等しい）
1.4 変動速度のSOCは、
1.4.1 もし より古いτゾーンと, より新しいτゾーンとが, 同じ白血球個数, (同じ面積、体積などの比較に使用できる因子)などであるなら、慢性状態(段階)となる。
older zone = newer zone is chronic condition.
1.4.2 もし より古いτゾーンがより新しいτゾーンより多い白血球個数, (面積、体積などの比較に使用できる因子ならいづれでも良い)などであるなら、治癒へ向かう(段階)となる。
If it is older zone > newer zone, inflammation goes to calming.
1.4.3 もし より新しいτゾーンがより古いτゾーンより多い白血球個数, (面積、体積などの比較に使用できる因子ならいづれでも良い)などであるなら、急性化状態(段階)となる。
If it is older zone < newer zone, inflammation goes to acute condition.

2 OOC 他己演算型コンピュータ、他己演算型演算手段 Other Operating Computer
白血球の場合、
2.1 相対微分方程式C１を選択し、その解を公知の数値プログラミングにより、コンピュータに入力したC1微分方程式の解手段を用意する。
一例として、式
τ領域減少関数τarea decreasing function

を使用しても良い。（もちろん段落０００７の各解や、公知の解などを使用してもよい。）
これに入力値として、初期値Bと、独立変数値である時値τを連続的に入力してゆく。その出力値をディスプレイやプリンタなどにて出力する。3次元にしたいなら、空間拡張を使用したり、公知の手法を使用してもよいなど、当業者容易である。
また、歯周ポケットのごとく厚み方向は、水処理白血球１個分としての座標系とし、炎症の傷害部位から半円状に白血球が拡散するモデルを採用すれば、上式のみでも３次元表記である事が容易に理解できる。
これらの手法は、式さえ公知であれば当業者容易であるので、この段落は冗長的な説明である。即ち、式さえ開示すれば、高校生でも可能な部分であるので、３６条明確性にたいしては、この理解を助ける段落は、不要である事は、言うまでも無い。

2.2 変動速度
SLL, MLC と StrLC) (C1 RDE) (図３，１７，１８)

となる。
具体的には、
変動速度判断手段が自動的に起こってもよい。
具体的には、
LC計測手段が、LCを背景画像から抽出し、(公知の画像処理にて作成可能)
τゾーン分割手段が、τ境界を抽出し、(公知の画像処理にて作成可能)
面積判定手段が、個々のτゾーンの面積を演算する。(公知の画像処理にて作成可能)
その後に、
変動速度演算手段である上記式が演算し、その結果を表示する。

2.3 γは、OOCのみです。 (SLL, MLC と StrLCなどにおいて) (図３，１７，１８)
C1, C2, C3 is,

N is, (次の式の| |は、 RAOです。 |は、Kyoku 演算子です。)

である。これを組み込むのは、先や後に明示的に記述したが、当業者容易であるので、非常に冗長的である。

[変形例２]
1 Str演算手段は、人工授精などを始めとするマニュピュレータを使用し作成しても良いなど、Str手段の作成手段は、何を使用してもよい。素手でつくってもよい。
2 第１実施例では、白血球を使用したが、素粒子から物質まで、在、極、Str演算子を実現できるものであるなら何でも良い。特に素粒子で形成した場合は、小型化、時空を超越した性能を得る事ができ好適である。
3 素粒子を使用した場合、素粒子一個の干渉、量子井戸などの例のごとく、極演算手段は、一個の演算手段として形成できる。本コンピュータは、マクロでは、もっぱら、アナログであるが、素粒子を用いた場合は、エネルギーギャップのごとく、デジタルコンピュータとなる。
4 どのRDEを使用してSOCやOOCを成しても良い。

[変形例３]
改良版
マテリアルは、前記のごとく
原子演算子Primitive operators
相対微分方程式Relative differential equations
自己演算装置Self operating computer (SOC)
他己演算装置Other Operating Computing (OOC)
方法
1. 演算装置生成
1.1 回路要素 Circuit elements 在や極 をW(S)TLで形成する。
1.2 回路生成 Circuit build 水処理により、白血球を回路要素と化し、さらに接続することにより回路生成(形成)をなす。

SOCは、実施例におき、顕微鏡画像. 同時に個数サイズと形が表示される。
SOCは、RDE そのもの自身.
OOC はRDEの解.
それらはRCSをもっている. ともなう。
2. 種々なLC (Leukocyte Continuum : 白血球連続体)
演算装置における、SOC としてのSτCや OOCとしてのτSC, による種々なLC
2.1 StrLC 図３、図１８右図
2.1.1 SOC
2.1.2 SOC1 (C1 RDEからの)
傷害のサイズは、(水処理)白血球１個で一定である。ゆえにこの式は、τ時間を走査し炎症を計測せねばならない。

極なしの従来運動物体(右辺)は、 DL (AL → DL):

2.1.3 SOC2

顕微鏡画像

.におけるStrLC は

と観察される。
D( )は、実世界の座標系であるＲＣＳにおける表示関数である。
2.1.4 OOC (m=1)

StrLCは, N=1, n は、origin (AOまたはRO),

内極なしを右辺第１項にもってくると、

右辺、第１項の物体は内極iKを有さない、第２、第３、第４の物体は、内極iKを有す。

2.1.5 StrLC の特性
従来の運動方程式にStr在を付与すると(内極を有する運動物体であると)

その運動方程式からの解は、(Ｃ３ＲＣＳ上にて)、
内極iKを持たない運動体は、(独立変数はt）

内極iKを持つ運動体は, (独立変数はt）

Zai連続体、
独立変数n, m, ここでnはorigin, m はnon-origin,

独立変数をkとすると,

ここで、n, m, そして kは、位相値(正の整数)である。本件においてnは絶対原極(absolute origin)または相対原極(relative origin)である。

(

t を独立変数として含む)C３座標系におき、局所場に存在する観測者は、位相n+mで観察します, 演算は局所場や相対場により計算される。全域場における観察者は、n+S₁mで観察します。この場合、空Poとしてのｔ、そして、n, m, and k は、正の整数としての位相値をとる。ここで「a」はPoとしての加速度であるv₀は,Poとしての速度,そしてy_oは,Poとしての距離である.従来,原極(Origin)において,運動方向は２次項におき反転している.y _xはW(S)TLの直径φである. τ_xは,白血球の活動度から計算される.この場合y₁=φ₁である.
速度は、運動方程式の解から計算される。C1, C2とC3 {相対場(実場)におき}

内極iKがない物体は、

y₁, y₂, …y_nは、単体のWSTLの直径となる。t₁, t₂,…t_n,は、WSTLの経過時間である。
C1, C2 and C3 (相対場の表記法) (相対場は、実場である。)

v₁, v₂, …V_n は速度を示し, t₁, t₂, …t_n は、WSTLの経過時間を示す。
C1 と C2 RDE (C3)は、変動速度を表現できる。
2.2 SLL (AL or DL) 単層白血球 (AL or DL) (活性白血球、残骸白血球) (図１８左図)
状態１相対微分方程式(C1 RDE)は、

より詳細に記載すると,

SLLの特性(プロパティ)
ALの場合は
急性段階(N₂>0 & N₁=0)
治癒段階(N₂=0 & 0<N₁)
連続体破壊や断続体は、エラーを生じる。
ALの表示は、現在の炎症をあらわす。
DLの表示は、過去の炎症を示す。
傷害部位であれば、治癒傾向。遠隔部位での発見なら、より不明確となる。
白血球が(発見され)なかったなら、それは異常なし。
SLLのSOC
ALの場合

ALからDL への一例(図３，１７，１８):
AL0 と AL1 は、

AL→DL (Life→ non-Life) 生命から非生命へ

AL→DL:

在Str移行値演算手段は、上記演算をSOCまたはOOCで実現した手段であり、具体的には、SOCの一具体例として活性白血球(集合体、連続体、単体)を部品として使用し、その経時変化を顕微鏡などの観察手段でデータ化（映像データや数値データ、幾何学的データなど）する手段である。また、OOCの位置具体例としては、コンピュータ内部に取り込んだ、SOC画像におき、白血球が有する細胞膜などの極の活性、破壊を計測する手段である。これらは、一具体例であり、極の有無をはじめとした、極の活性、破壊を計測できればどのような手段でもよい。
DLの場合

それは、m = 1 である位相における最小単位の値です。τは、固定された「時」、ALは動的な運動を示す活動的な白血球を示します。代表としてあらわします。DLは、動的な動きをしない白血球です。Nは、白血球の数です。N_τは、SLLの白血球数です。τ_nは、位相時としての生物学的時です。その生物時は、１です。（は、また、物理時間や白血球の活性度により計算できます。）
ALの場合 (τ=1)

DLの場合

SLL内は、同じτ 値です。 (それは m = 1) SτCのサイズは、傷害のサイズを示します。SLLは、他項がゼロの場合を除き、変動速度は不明です。
以上は、在Str移行値演算手段の一例であります。
2.3 Multilayer LC (MLC) 多層LC （多層白血球連続体）(図１７C)
第一義的な基本RDEは、在Nによるサイズを表します。二次的なRDEは、(ある意味)DN(τ, x, y)によるサイズを表します。{ x, y, と τ は、顕微鏡画像における直交座標の座標値(独立変数軸)です。τ は、固定時間です。}
D( ) は、表示関数です。そしてそれは、実世界の座標です。それはRCSです。DN( )は、ナビエストークス方程式(NSE)(表示機能つき)です。それはRDEから構成されます。
組織障害のサイズは、ほぼ、W(S)TLクラスターのサイズに等しいです。
SOC: MLC = DN(RDE)
組織障害は、ほぼ、W(S)TLクラスターのサイズに等しい。それは、SOC : MLCです。
OOC : RDEとしてのMLCの解 (MLCとしてのRDEの解)
2.3.1 SOC
自己演算コンピュータは、MLCとしての傷害のサイズを計算する。
より新しい側の項 is

, SOCとして, より古い側の項

詳細には
より新しい側の項は、:

as SOC,
より古い側の項は、

as SOC,
C1は、

N₂とN₁は、MLCにおける

と

の各ゾーン の白血球の数です。

と

は、物理時間または生物時間として白血球の活性度から計算されうる。 (例えば、生物時間の例として、“τ=1におき, 局所場として

τ=1 , 相対場として

τ=-1などである”)傷害のサイズは、LCのこれにより表される。
より新しい側の項が(m=1)、(ある)白血球核を表す時、その傷害のサイズは、そのLCとしてのこれにより表される。その傷害のサイズは、ひとつのW(S)TLのあるτゾーンのサイズとして表される。SτCは、直交座標の独立変数軸を変化させたその形態に等価な座標系として同じである。
変動速度
C1 RDEにより記述された変動速度,

τ zoneの個々の領域の炎症状態は、つぎの情報をもたらす。
1) もし、より古いゾーンがより新しいゾーンと同じなら、慢性段階を表する.
{N₂=N₁ (each N≠0)}
2) もし、より新しいゾーンがより古いゾーンより少なければ、小さければ、炎症は、治癒段階です。(N₂<N₁)
3) もし、より新しいゾーンがより古いゾーンより多ければ、大きければ、炎症は、急性段階です。(N₂>N₁)
2.3.2 OOCとしてのγ (C1, C2 と C3 RDE において)

一般的な絶対値演算子は、

相対的絶対値は、(相対的絶対値演算子)

相対的絶対値の使用において、

N₀ は、初期値. γ=0 は、慢性段階 (各 N≠0).
この場合、γ<0 in C1 (RDE)なら、急性段階、γ>0 in C1 (RDE)なら治癒段階。（RF）
γ<0 in C2 (RDE)なら治癒段階、γ>0 in C2 (RDE)なら急性段階。(RF and LF)
相対場におき、急性または治癒は、Viewに依存する。
γ of SLL
もし他項が存在しなかったなら、SLLは、解を得られない。もし、他項が存在するなら、その場合、他項は、ゼロである、γ=0であり、慢性段階である。
C1 (RDE) : γ=S₁(+2) は、急性段階 (N₂>0, N₁=0). γ= S₁(-2) は、治癒段階 (N₂=0, 0<N₁). (RF)
C2 (RDE) : γ= S₂(-2) は、治癒段階 (N₂>0, N₁=0). γ= S₂(+2) は、急性段階 (N₂=0, 0<N₁). (RF and LF)
2.4抗原抗体反応Antigen antibody reaction
抗原抗体反応に従いγの変動は、C4RDEにより以下のごとく記述される。

ここで、₁Nは、白血球を示し、₂Nは、感染抗原(バクテリアや微生物)を示している。εは、干渉係数であり、ε₁₂は、白血球に関する貪食数係数で、ε₂₁は、抗原に対する白血球の援助係数(呼び出し係数、サイトカイン係数)です。

Bndは、Bundlingの略です。Poは、空ポテンシャル。Nは、個数。
各Nは、干渉時における初期値です。₁N₀は、C1 RDEに対する解の値です。
₂N₀は、C2 RDEに対する解の値です。

もし、存在１(₁N)と存在２(₂N)との反応時間が、違っていたなら、τ 割合 (τ_r)が使用される。

その結果、安定解が得られる。従来の連立同時微分方程式(SDE)は、不安定で、そして、その解は、振動や回転をなす。それに対して、新しい連立同時微分方程式(SDE)は、収束に成功している。
実行例
1 StrLC SOC (図３)
1.1 SOC1 顕微鏡画像は、(同時にサイズと形状をあたえる。)
ALs:

組織障害のサイズは

その組織傷害のサイズは、一個の白血球{ W(S)TL }のサイズです。個々の白血球自身が在としての演算を行っている(在)演算手段となり作動しているのがわかる。これをNANDやNORに置き換えるには、SOCをOOC解に変換してから、置き換えてもよい。このNAND,NORによる従来型コンピュータ(OOC)とSOCは、同じ演算動作を行う別の演算装置と言える。
1.2 SOC2

この組織障害は、ひとつの白血球W(S)TLの外形形状です。水処理好中球は、約15μmです。その空間情報(組織障害情報)は、一定です。時間情報(細胞障害情報)は、変化します。
1.2 StrLC OOC
AL1s→AL2s段階(たとえば28分)において、

, 速度は

32 μm/h, 組織障害サイズは、15μm (一定).
AL0s→AL1s段階は、4時間24分 (264分)なら : 3.4μm/hとなる。
StrLC SOC や OOCによりわかる従来の問題
このStrLC SOC や OOCの動的情報は、時間情報や細胞障害情報である。組織障害情報は、一定です。StrLCにより、我々は、一個の細胞単位の観察における問題を理解できる。(我々は、白血球算定やフローサイトメトリーの問題を理解できる。)
2 SLL {活性-非活性(残骸化)} (active or destructive)
SOC や OOCについて, もし、生物時間を使用するなら、白血球の数は、バイオマーカーとしての値をとるであろう。極の変化を位相で捉える生物時間は、位相時間として使用できる。
2.1 SOC
顕微鏡画像は、同時に、(この場合、τ 時は、生物時間)
SOC 1 傷害形状は、

顕微鏡画像のτ, x と yの上限は、この画像の場合720×480ドットです。関数DN(τ, x, y)は、実世界による、WTLの空間時間流れと表示、からなされる関数(実際の現象)です。
SOC2 傷害のサイズは、
もし、他項がゼロなら(τ=1) 図18左(円の中のみなら)のごとく一例としてクラスターが７個なら、

もし、他項がゼロなら、AL としての SLL は、急性段階です。
もし他項が、不明なら、

からは、不確定な極となる。

xとy は、顕微鏡画像(720 × 480-pixel)の座標変数です。
SOC3傷害サイズと形状のグラフは、

傷害形状は、 SOC3 は、図17C, 18のごとく

2.2 OOCにおいて、 (C1 RDE (MLC)が無か、その一部か )
もし、他項がゼロなら、γ=-2=S₁2 が急性段階 (N₂ > 0, N₁ = 0). γ = +2 = S₂2なら治癒段階(N₂ = 0, N₁ > 0)

3. MLC 図17 C(図１７の最中心のエリア１が476個(N₂)、エリア２が286個(286)、)
3.1 SOC
顕微鏡画像は、同時に、傷害サイズは、{AL0 クラスタは、活性白血球核(エリア１)です。そのサイズ N₂=476.}
SOC 1 傷害形状は、図17
傷害形状は、(顕微鏡画像自身)

における各外形(エンベロープ)となります。(τ, x, yは、顕微鏡画像のτ, x, yです。)
上項は、白血球の数(サイズ)、そして下項は、あるひとつのτゾーンの時区間です。
顕微鏡画像のτ, x と yの上限は、この画像の場合720×480ドットです。関数DN(τ, x, y)は、実世界による、WTLの空間時間流れと表示、からなされる関数(実際の現象)です。
SOCの関数DN(τ, x, y)は、W(S)TLの空間時間流と表示をなす関数です。
SOC 2 傷害サイズは、

この場合、| | is RAO; τ =1, τは、位相時間としての生物時間。| |は、RAO。核は、エリア１、その外側は、エリア２です。内極の変化は、位相変化として捉える事ができるので、水(溶液)処理白血球は、位相時間を検出できる。
SOC 3: 傷害のサイズと形状のグラフ
エリア1 (活性白血球核:Active Leukocyte Core)

エリア 2

SOC 4 変動速度とγN (極)
前記エリア１，エリア２の個数から (N₂=476, N₁=286)

極の変動速度値は、

となり、急性段階を示します。γNは,可視化されている。
3.2 OOC
図１７のエリア１が476個、エリア２が286個、であるので、ゆえに,
γ は、|(-0.5)=

{C1 (RF)において}. 急性段階を示します。
OOC (time-space continuum)において従来演算装置が通常コンピュータ上により計算される.

S₁は省略。 この方程式は図１７で SOC LC の一部でgsOOC として見いだされて、そして棒グラフあるいはライングラフとして認識されるでしょう。 ここで、
感染においては坑原のγが必要とされる事が解り、次項の抗原抗体反応につながります.
4. 抗原抗体反応 (Prey and new Predator)
4.1 SOC
あるτ時間におけるバクテリアの数と白血球の数の表示装置は、疑似SOCです。なぜなら現状、“ε”は、SOC化できていないからです。さらに、この場合、バクテリアの数が不正確です。それゆえ、SOCは、不正確です。将来、SOCの表示(またはグラフ)は、改良される必要がある。さらに、“ε” のSOC化は、必要です。
4.2 OOC
一例として、γ_b=|S₁0.50(前記白血球のγ), γ_g= |S₂0.25(文献など), ε₂₁=0.5 (予測値など), ε₁₂=250 (カタログなど), f₂(τ)は、バクテリア数, f₁(τ)は、白血球数, 相対τ割合 (τ_r) 1.3 (1:1.3), τ=10が干渉した時間。を入力すれば、抗原抗体反応のグラフが描ける。View演算子によりAOやROなどの特異点の解消が成功している事が判明する。
さらなる
補足
RDE (as SOC)
C1 and C2 from C3 (In this case, Po=τ, fundamentally m=1)

C3 and C4 use Relative Origin (Kyoku) (C3 is the most familiar.)

pC1

pC2

pC3

γ of RDE as OOC
C1, C2, C3 (a Life)

C4

pC4

生命式
成長位相

pC3 = pC2 + pC2
定常位相

pC1 = pC2 + pC2
崩壊位相

pC3 = pC2 + pC2

OOC, {eF=0, γ>0}

{eF=0, γ=0}
Stationary phase by Zai as SOC (C3 SOC: Low level), in OOC is γ =0 (eF=0). [1]

dead cell mono cell ~ continuum cell in attenuation of Life

非生命式

基本的に, No=1, Np=1は除く。

pC2 = pC2 + pC2

pC3が生成されたなら, それは人工生命.
SOC (Low Level)

non-Life by OOC, (人工生命を含む)

[Embodiment of First Example]
Creation of arithmetic means such as presence, pole, Str, circuit formation
1 Collect a sample from the inflammatory plexus by a continuous circle short search, etc., and immerse the sample in an aqueous solution containing molecule A. Circuit formation is performed by this process, and when the formation is completed, the calculation is also completed. FIG. 3, FIG. 17, FIG. 18, etc.
2 Specifically, when aqueous solution treatment is performed
(One) white blood cell absorbs water and becomes spherical, and a means of calculation is completed. At this time, if the aqueous solution of molecule A is used, it becomes a means of calculation in space-time. (At this time, it is preferable to use the phase time. For the phase time, it is preferable to adopt the biological activity time and the biological time that reflect the phase of the inner pole described later.) (Using a fluorescent microscope. (It is preferable to observe and measure) If only water is used, it becomes an existing calculation means that can calculate the space, and if you want to calculate the time further, the calculation means that prepares the time separately is used.
3 Circuit connection and formation of polar arithmetic means When water treatment is performed, the individual operator means are placed close to or in contact with each other within a certain distance (a few μm for leukocytes), so that the arithmetic means can be used as a network. Can be formed. Fig. 3 etc. {Similar to the circuit connection of AND, OR, NOT (NAND and NOR may be used), and also the same as one AND, OR, NOT. It is possible. } Here, the nearby arithmetic means are combined and become Str. An operation utilizing this neighborhood connectivity may be utilized.
Example of formation of 4-pole calculation means As in the above mathematical formula, a pole calculation means can be formed by combining two or more Str presences.
We have disclosed the fabrication and calculation examples of each calculation means in Str, as well as the presence and poles of 5 or more. Other circuits may be performed in the same manner as when various general-purpose arithmetic units are made from AND, OR, and NOT circuits (NAND and NOR may be used).
In particular,
Based on the above mathematics, the existing arithmetic means, the polar arithmetic means, and the Str arithmetic means may be used. (It is easy for those skilled in the art to disclose the fabrication of a computer according to the design drawing written by mathematics even with AND, OR, NOT arithmetic means. If there is a device necessary for creation, even elementary school students can do it.)
6 Here, an example of an additive molecule for easily calculating time is disclosed.

Molecule A: Chemical formula: C ₂₇ H ₂₉ N _{2 NaO 7} S ₂ : Molecular weight 580.66:
Generic name Edible Red No. 106 Acid Red Fluorescent, mainly used as an aqueous solution. Can also be used in non-aqueous solutions. As an example, when used on water-treated leukocytes, the biological activity time can be observed. This time can be used as the phase time.
[effect]
1 Can calculate the degree of inflammation, future, etc. The degree of invasive disease, future, etc. can be calculated.
The current arithmetic means and the polar arithmetic means are infinite speed arithmetic units having an effect that the arithmetic time becomes 0 except for the formation time thereof.
2 If leukocytes are placed in the lesion of the living body and the above-mentioned circuit formation is performed, the degree of inflammation and the future can be calculated.
3 The artificially created existing arithmetic means, polar arithmetic means, and Str arithmetic means are arithmetic units that calculate any one or a combination of the above arithmetic examples.
[Paragraph to help understanding] SOC + OOC hybrid computer In examples such as the above example, a mixed computer of SOC and OOC (hybrid computer) was disclosed. Here, the calculation means of each part will be described.
SOC, which is a self-calculating computer,
A self-calculation means forming means for the operand itself to independently form an arithmetic means for performing an operation for the calculation purpose, and a self-calculation means forming means.
As the calculation means for the calculation is formed, the self-calculation means for independently and automatically calculating the calculation is provided.
A self-calculating computer characterized by at least being prepared.
1 SOC Self-Computing Computer, Self Operating Computer, Self Operating Computer
1.1 SLL single layer leukocyte aggregate {Single Layer Leukocyte (s)} (SLL) (as an example, Fig. 18 left leukocyte cluster 7 leukocytes surrounded by a circular envelope) The magnitude of injury is the C1 RDE. It is one term.

By the way, C1 is

Is. m = 1, indicating a single τ. Here, τ can represent both space and time. It can also be used as a pure number. Their transformations are "bundle" and "distribute".
SLL may have two cases where the other N of C1-RDE is zero or unknown. If it is unknown, it cannot be calculated, but if the other term is zero, it can be calculated in the same way as MLC.
If the other term is zero,
In the case of AL {active leukocytes (group)}, the acute stage (N ₂ > 0 and N ₁ = 0)
In the case of DL {white blood cell debris (group)}, the healing stage (improved stage, N ₂ = 0 and 0 <N ₁ ).
The name of active white blood cells is more than that of new white blood cells. Leukocyte debris may be old leukocytes or may be referred to as disrupted or disrupted leukocytes.
If the other term is unknown, no matter what value the other term shows
ALs indicate current inflammation.
DLs indicate past inflammation. and,
The larger the LC size, the larger the injury size.
Self-calculation means, calculation circuit formation, and self-calculation means formation means In cells such as leukocytes, calculation means (calculation circuit) are formed by conservatively collecting cells, adding water to the collected material, and treating with water. Since the calculation is started at the same time and the calculation is finished at the same time after the circuit formation is completed, the infinite speed calculation device is completed if the current speed comparison is performed without considering the circuit manufacturing time. Needless to say, any material may be used, from elementary particles to planetary units.
That is, the self-calculation means forming means here is a water treatment or an aqueous solution treatment means. The operand is white blood cells. Then, the self-calculation means that autonomously and automatically calculates the calculation is a water-treated or aqueous solution-treated leukocyte. The operation is clearly shown in the equations in SOC.
The observation means is a microscope means. The microscope means is a fluorescence microscope, a phase contrast microscope, or the like. As its function, a microscope capable of measuring the size, number, time distribution, activity, etc. of the object to be operated may be used.
Here, leukocytes are used, but any cells or particles may be used.
The high-level SOC is C1 RDE.

Will be.

1.2 The magnitude of injury in the MLC multilayer Leukocyte Continuum (MLC) (Fig. 17C as an example)} is indicated by the Newer side term of C1 RDE at m = 1. ing.
Newer side term is

as SOC, older side term is

Will be.
1.3 SLC String The injury magnitude of the Leukocyte Continuum (SLC) (Fig. 3 as an example) is the individual magnitude of the W (S) TL. (SLC is equal to the diameter of one white blood cell)
1.4 Fluctuation velocity SOC
1.4.1 If the older τ zone and the newer τ zone have the same white blood cell count, (factors that can be used to compare the same area, volume, etc.), it is a chronic condition (stage).
older zone = newer zone is chronic condition.
1.4.2 If the older τ zone has a higher white blood cell count than the newer τ zone (any factor that can be used to compare area, volume, etc.), then it is a healing process.
If it is older zone> newer zone, inflammation goes to calming.
1.4.3 If the newer τ zone has a higher white blood cell count than the older τ zone (any factor that can be used to compare area, volume, etc.), then it is in an acute state (stage).
If it is older zone <newer zone, inflammation goes to acute condition.

2 OOC Other Operating Computer, Other Operating Computer
For white blood cells
2.1 Select the relative differential equation C1 and prepare the solution means of the C1 differential equation input to the computer by the known numerical programming.
As an example, the equation τ area decreasing function

May be used. (Of course, each solution in paragraph 0007 or a known solution may be used.)
As input values, the initial value B and the time value τ, which is the independent variable value, are continuously input to this. The output value is output on a display or printer. If you want to make it three-dimensional, it is easy for those skilled in the art to use spatial expansion or a known method.
In addition, the thickness direction like a periodontal pocket is a coordinate system for one water-treated leukocyte, and if a model in which leukocytes diffuse in a semicircle from the injured site of inflammation is adopted, the above formula alone can be expressed in three dimensions. It's easy to understand something.
This paragraph is a redundant explanation, as these techniques are easy for those skilled in the art as long as the equations are known. That is, it goes without saying that a paragraph that assists in this understanding is unnecessary for the clarity of Article 36, since it is a part that even high school students can do as long as the formula is disclosed.

2.2 Fluctuation speed
SLL, MLC and StrLC) (C1 RDE) (Figs. 3, 17, 18)

Will be.
In particular,
The fluctuation speed determination means may occur automatically.
In particular,
The LC measuring means extracts the LC from the background image (can be created by known image processing).
The τ zone dividing means extracts the τ boundary (can be created by known image processing).
The area determination means calculates the area of each τ zone. (Can be created by known image processing)
After that,
The above formula, which is a fluctuating speed calculation means, calculates and displays the result.

2.3 γ is OOC only. (In SLL, MLC and StrLC, etc.) (Figs. 3, 17, 18)
C1, C2, C3 is,

N is, (| | in the following expression is RAO. | Is the Kyoku operator.)

Is. Incorporating this is very verbose because it is easy for those skilled in the art, although it was explicitly described earlier and later.

[Modification 2]
1 The Str calculation means may be created by using a manipulator such as artificial insemination, and any Str means may be created. You may make it with your bare hands.
2 In the first embodiment, leukocytes are used, but any substance can be used as long as it can realize the presence, pole, and Str operators, from elementary particles to substances. In particular, when it is formed of elementary particles, it is suitable because it can be miniaturized and can obtain performance that transcends time and space.
When 3 elementary particles are used, the polar calculation means can be formed as one calculation means, as in the case of interference of one elementary particle, quantum well, and the like. This computer is exclusively analog in macro, but when elementary particles are used, it becomes a digital computer like an energy gap.
4 Any RDE may be used to form SOC or OOC.

[Modification 3]
The improved material is the atomic operators as described above.
Relative differential equations
Self operating computer (SOC)
Other Operating Computing (OOC)
Method
1. Arithmetic logic unit generation
1.1 Circuit elements Circuit elements Form the current and poles with W (S) TL.
1.2 Circuit build Circuit build Water treatment turns white blood cells into circuit elements, which are then connected to form a circuit.

In the example, the SOC is a microscope image. At the same time, the number size and shape are displayed.
SOC is RDE itself.
OOC is the solution of RDE.
They have RCS.
2. Various LCs (Leukocyte Continuum)
Various LCs by SτC as SOC and τSC as OOC in the arithmetic unit
2.1 StrLC Fig. 3, Fig. 18 Right
2.1.1 SOC
2.1.2 SOC1 (from C1 RDE)
The size of the injury is constant with one (water treated) white blood cell. Therefore, this equation must scan τ time to measure inflammation.

The conventional moving object without poles (right side) is DL (AL → DL):

2.1.3 SOC2

Microscopic image

StrLC in.

Is observed.
D () is a display function in RCS, which is a real-world coordinate system.
2.1.4 OOC (m = 1)

StrLC is N = 1, n is origin (AO or RO),

Bringing no inner pole to the first term on the right side,

The object on the right side, the first term, does not have an internal pole iK, and the second, third, and fourth objects have an internal pole iK.

2.1.5 Characteristics of StrLC When Str presence is added to the conventional equation of motion (when it is a moving object with an internal pole)

The solution from the equation of motion is (on C3RCS),
A moving body that does not have an internal pole iK (independent variable is t)

A moving body with an internal pole iK (independent variable is t)

Zai continuum,
Independent variables n, m, where n is origin, m is non-origin,

If the independent variable is k,

Where n, m, and k are phase values (positive integers). In this case, n is an absolute origin or a relative origin.

(

In the C3 coordinate system (including t as an independent variable), the observer existing in the local field observes with the phase n + m, and the operation is calculated by the local field or the relative field. Observers in the whole field observe at n + S ₁ m. In this case, t as an empty Po and n, m, and k take a phase value as a positive integer. Here v ₀ "a" is the acceleration of the Po, the speed of the Po, and y _o is the distance of the Po. Conventionally, in Harakyoku (Origin), the direction of motion placed quadratic term reversal . _{Y x} is the diameter φ of W (S) TL. τ _x is calculated from the leukocyte activity. In this case y ₁ = φ ₁ .
Velocity is calculated from the solution of the equation of motion. C1, C2 and C3 {Place in relative field (actual field)}

Objects without an internal pole iK

y ₁ , y ₂ ,… y _n are the diameters of a single WSTL. t ₁ , t ₂ ,… t _n, are the elapsed times of WSTL.
C1, C2 and C3 (relative field notation) (relative field is real)

v ₁ , v ₂ ,… V _n indicate the velocity, and t ₁ , t ₂ ,… t _n indicate the elapsed time of WSTL.
C1 and C2 RDE (C3) can express the fluctuating velocity.
2.2 SLL (AL or DL) Monolayer leukocyte (AL or DL) (active leukocyte, debris leukocyte) (Fig. 18, left figure)
The state 1 relative differential equation (C1 RDE) is

In more detail,

SLL characteristics (property)
Acute stage for AL (N ₂ > 0 & N ₁ = 0)
Healing stage (N ₂ = 0 & 0 <N ₁ )
Continuum destruction and intermittents cause errors.
The indication of AL represents the current inflammation.
The DL display indicates past inflammation.
If it is an injured site, it tends to heal. Findings in remote areas are more obscure.
If no white blood cells are (discovered), it is normal.
SLL SOC
For AL

An example from AL to DL (Figs. 3, 17, 18):
AL0 and AL1

AL → DL (Life → non-Life) From life to non-life

AL → DL:

The Str transition value calculation means is a means that realizes the above calculation by SOC or OOC. Specifically, as a specific example of SOC, active leukocytes (aggregates, continuums, single units) are used as parts, and the same. It is a means for converting changes over time into data (video data, numerical data, geometric data, etc.) by an observation means such as a microscope. Further, as a specific example of the position of OOC, it is a means for measuring the activity and destruction of poles such as cell membranes possessed by leukocytes by placing them on a SOC image taken inside a computer. These are specific examples, and any means can be used as long as the activity and destruction of the poles can be measured, including the presence or absence of the poles.
For DL

It is the smallest unit value in the phase where m = 1. τ is a fixed “hour” and AL is an active leukocyte that exhibits dynamic movement. Represented as a representative. DL is a white blood cell that does not move dynamically. N is the number of white blood cells. N _τ is the white blood cell count of SLL. τ _n is the biological time as the phase time. The time of the creature is 1. (Can also be calculated from physical time and leukocyte activity.)
For AL (τ = 1)

For DL

Within SLL, they have the same τ value. (It is m = 1) The size of SτC indicates the size of the injury. The rate of fluctuation of SLL is unknown unless the other terms are zero.
The above is an example of the transfer value calculation method in Str.
2.3 Multilayer LC (MLC) Multilayer LC (multilayer leukocyte continuum) (Fig. 17C)
The primary basic RDE represents the size by N. The secondary RDE (in a sense) represents the size by DN (τ, x, y). {x, y, and τ are the coordinate values (independent variable axes) of Cartesian coordinates in the microscope image. τ is a fixed time. }
D () is a display function. And that's the coordinates of the real world. It's RCS. DN () is the Navier-Stokes equation (NSE) (with display function). It consists of RDE.
The size of the tissue failure is approximately equal to the size of the W (S) TL cluster.
SOC: MLC = DN (RDE)
Tissue failure is approximately equal to the size of the W (S) TL cluster. It's SOC: MLC.
OOC: MLC solution as RDE (RDE solution as MLC)
2.3.1 SOC
The self-calculating computer calculates the size of the injury as an MLC.
Newer term is

, As SOC, the older term

For details
The newer term is:

as SOC,
The older term is

as SOC,
C1 is

N ₂ and N ₁ are in MLC

When

The number of white blood cells in each zone of.

When

Can be calculated from leukocyte activity as physical or biological time. (For example, as an example of biological time, "set τ = 1, as a local field.

τ = 1, as a relative field

The size of the ") injury, such as τ = -1, is represented by this in the LC.
When the newer term represents (m = 1), (is) leukocyte nuclei, the size of the injury is represented by this as its LC. The size of the injury is expressed as the size of the τ zone with one W (S) TL. SτC is the same as the coordinate system equivalent to its form in which the independent variable axis of Cartesian coordinates is changed.
Fluctuation speed
Fluctuation rate described by C1 RDE,

The inflammatory state of the individual regions of the τ zone provides the following information:
1) If the older zone is the same as the newer zone, it represents a chronic stage.
{N ₂ = N ₁ (each N ≠ 0)}
2) If the newer zone is less than the older zone, the inflammation is in the healing stage. (N ₂ <N ₁ )
3) If the newer zone is larger than the older zone, the inflammation is in the acute stage. (N ₂ > N ₁ )
2.3.2 γ as OOC (in C1, C2 and C3 RDE)

Common absolute value operators are

Relative absolute value is (relative absolute value operator)

In the use of relative absolute values

N ₀ is the initial value. Γ = 0 is the chronic stage (each N ≠ 0).
In this case, if γ <0 in C1 (RDE), it is the acute stage, and if γ> 0 in C1 (RDE), it is the healing stage. (RF)
Healing stage if γ <0 in C2 (RDE), acute stage if γ> 0 in C2 (RDE). (RF and LF)
Placed in a relative field, acute or healing depends on View.
γ of SLL
If no other term exists, SLL cannot get a solution. If the other term is present, then the other term is zero, γ = 0, and is in the chronic stage.
C1 (RDE): γ = S ₁ (+2) is the acute stage (N ₂ > 0, N ₁ = 0). γ = S ₁ (-2) is the healing stage (N ₂ = 0, 0 <N ₁ ). (RF)
C2 (RDE): γ = S ₂ (-2) is the healing stage (N ₂ > 0, N ₁ = 0). γ = S ₂ (+2) is the acute stage (N ₂ = 0, 0 <N ₁ ). (RF and LF)
2.4 Antigen antibody reaction
The variation of γ according to the antigen-antibody reaction is described by C4RDE as follows.

Here, ₁ N indicates leukocytes, and ₂ N indicates infectious antigens (bacteria and microorganisms). ε is the interference factor, ε ₁₂ is the phagocytosis factor _{for leukocytes, and ε 21} is the leukocyte aid factor (calling factor, cytokine factor) for the antigen.

Bnd is an abbreviation for Bundling. Po is empty potential. N is the number.
Each N is the initial value at the time of interference. ₁ N ₀ is the value of the solution for C1 RDE.
₂ N ₀ is the value of the solution for C2 RDE.

If the reaction times of existence 1 ( ₁ N) and existence 2 ( ₂ N) are different, the τ ratio (τ _r ) is used.

As a result, a stable solution is obtained. Traditional simultaneous simultaneous differential equations (SDEs) are unstable, and their solutions oscillate and rotate. In contrast, the new system of simultaneous differential equations (SDE) has been successfully converged.
Execution example
1 StrLC SOC (Fig. 3)
1.1 SOC1 microscopic images (give size and shape at the same time)
ALs:

The size of the tissue disorder

The size of the tissue injury is the size of a single white blood cell {W (S) TL}. It can be seen that each leukocyte itself acts as a (presence) calculation means that performs the calculation as a presence. To replace this with NAND or NOR, you can convert the SOC to an OOC solution and then replace it. It can be said that the conventional computer (OOC) and SOC by NAND and NOR are different arithmetic units that perform the same arithmetic operation.
1.2 SOC2

This tissue disorder is the outer shape of a single white blood cell W (S) TL. Water-treated neutrophils are approximately 15 μm. The spatial information (organizational failure information) is constant. Time information (cell damage information) changes.
1.2 StrLC OOC
In the AL1s → AL2s stage (for example, 28 minutes)

, Speed is

32 μm / h, tissue damage size is 15 μm (constant).
The AL0s → AL1s stage is: 3.4 μm / h for 4 hours and 24 minutes (264 minutes).
Conventional problems found by StrLC SOC and OOC The dynamic information of StrLC SOC and OOC is temporal information and cell damage information. Tissue failure information is constant. With StrLC, we can understand the problem of observing a single cell unit. (We can understand the problems of white blood cell count and flow cytometry.)
2 SLL {active-inactive (debris)} (active or destructive)
For SOC and OOC, if biological time is used, the white blood cell count will take a value as a biomarker. Biological time, which captures the change of poles in phase, can be used as phase time.
2.1 SOC
Microscopic images are displayed at the same time (in this case, τ is biological time).
SOC 1 injury shape is

The upper limit of τ, x and y in the microscope image is 720 x 480 dots for this image. The function DN (τ, x, y) is a function (actual phenomenon) made up of the space-time flow and display of WTL in the real world.
The size of the SOC2 injury is
If the other term is zero (τ = 1), as shown in Fig. 18 left (only in the circle), if there are 7 clusters as an example,

If the other term is zero, then SLL as AL is in the acute phase.
If other terms are unknown,

From now on, it becomes an uncertain pole.

x and y are the coordinate variables of the microscope image (720 x 480-pixel).
The SOC3 injury size and shape graph is

The injury shape is shown in Figures 17C and 18 for SOC3.

2.2 In OOC, (C1 RDE (MLC) is absent or part of it)
If the other term is zero, then γ = -2 = S ₁ 2 is the acute stage (N ₂ > 0, N ₁ = 0). If γ = + 2 = S ₂ 2, then the healing stage (N ₂ = 0, N ₁₎ > 0)

3. MLC Fig. 17 C (Area 1 in the center of Fig. 17 has 476 (N ₂ ), Area 2 has 286 (286),)
3.1 SOC
At the same time, the microscopic image shows that the injury size is {AL0 clusters are active leukocyte nuclei (area 1). Its size N ₂ = 476.}
SOC 1 injury shape is shown in Figure 17
The shape of the injury is (microscope image itself)

It is each outline (envelope) in. (τ, x, y are τ, x, y in the microscopic image.)
The upper term is the number (size) of white blood cells, and the lower term is the time interval of one τ zone.
The upper limit of τ, x and y in the microscope image is 720 x 480 dots for this image. The function DN (τ, x, y) is a function (actual phenomenon) made up of the space-time flow and display of WTL in the real world.
The SOC function DN (τ, x, y) is a function that displays the space-time flow of W (S) TL.
SOC 2 injury size

In this case, | | is RAO; τ = 1, τ is the biological time as the phase time. | | Is RAO. The core is area 1, and the outside is area 2. Since the change in the internal pole can be regarded as a phase change, the water (solution) treated leukocyte can detect the phase time.
SOC 3: Injury Size and Shape Graph Area 1 (Active Leukocyte Core)

Area 2

SOC 4 Fluctuation rate and γN (pole)
From the number of areas 1 and 2 (N ₂ = 476, N ₁ = 286)

The fluctuation speed value of the pole is

Indicates the acute stage. γN is visualized.
3.2 OOC
Since there are 476 areas 1 and 286 areas 2 in FIG. 17, therefore,
γ is | (-0.5) =

{In C1 (RF)}. Indicates the acute stage.
In OOC (time-space continuum), conventional arithmetic units are usually calculated on a computer.

S ₁ is omitted. This equation will be found as gsOOC in part of the SOC LC in Figure 17 and will be recognized as a bar or line graph. here,
It is known that γ in the mine is required for infection, which leads to the antigen-antibody reaction described in the next section.
4. Antigen-antibody reaction (Prey and new Predator)
4.1 SOC
The display device for the number of bacteria and the number of white blood cells at a certain τ time is a pseudo SOC. This is because "ε" has not been converted to SOC at present. Moreover, in this case, the number of bacteria is inaccurate. Therefore, SOC is inaccurate. In the future, SOC displays (or graphs) need to be improved. Furthermore, SOC conversion of “ε” is necessary.
4.2 OOC
As an example, γ _b = | S ₁ 0.50 (γ of the leukocyte), γ _g = | S ₂ 0.25 (literature, etc.), ε ₂₁ = 0.5 (predicted value, etc.), ε ₁₂ = 250 (catalog, etc.), f ₂ (τ) is the number of bacteria, f ₁ (τ) is the number of white blood cells, the relative τ ratio (τ _r ) 1.3 (1: 1.3), and the time when τ = 10 interfered. If you enter, you can draw a graph of the antigen-antibody reaction. It turns out that the View operator has succeeded in eliminating singularities such as AO and RO.
Further supplement
RDE (as SOC)
C1 and C2 from C3 (In this case, Po = τ, fundamentally m = 1)

C3 and C4 use Relative Origin (Kyoku) (C3 is the most familiar.)

pC1

pC2

pC3

γ of RDE as OOC
C1, C2, C3 (a Life)

C4

pC4

Lifestyle growth phase

pC3 = pC2 + pC2
Steady phase

pC1 = pC2 + pC2
Collapse phase

pC3 = pC2 + pC2

OOC, {eF = 0, γ> 0}

{eF = 0, γ = 0}
Stationary phase by Zai as SOC (C3 SOC: Low level), in OOC is γ = 0 (eF = 0). [1]

dead cell mono cell ~ continuum cell in attenuation of Life

Non-life formula

Basically, No = 1 and Np = 1 are excluded.

pC2 = pC2 + pC2

If pC3 is generated, it is artificial life.
SOC (Low Level)

non-Life by OOC, (including artificial life)

An example of an inspection device for the size of holes in membranes, filter papers, filters, etc., and changes over time in the holes will be disclosed.
1 Incubate leukocytes in vitro by a known method.
2 Create a test device consisting of a leukocyte culture solution on one side and a liquid layer of water or water to which an antigen for bacteria or leukocytes is added, with the membrane (filter paper, filter) used for the test as a boundary.
3 The cultured leukocyte is administered to the leukocyte culture solution.
4 Sampling a sample from the water or antigen water using a circular probe, dropper, paper point, etc.
5 Immerse the sampled sample in the aqueous solution of molecule A and observe it under a microscope. The microscope is preferably of the type in which an image is displayed on a display. Further, a fluorescence microscope is preferable. By this processing, the leukocytes form the arithmetic means, and the arithmetic processing is completed when the formation is completed. Since manufacturing and calculation are performed at the same time, infinite speed calculation is performed except for manufacturing time. It is a well-known fact that the manufacturing time does not take into account the calculation speed in a conventional computer.
6 The calculation result in this case is that the degree of the current defect of the film being tested and the severity of the past and future defects are determined by the current calculation means, the pole calculation means, and the Str calculation means (SOC, It is calculated and displayed (in OOC). The SOC is an analog computer, and the observation target itself performs calculations. In some cases, self-display can be performed. The aqueous solution-treated leukocyte aggregate (cluster) and the aqueous solution-treated leukocyte continuum are capable of self-calculation and self-display. (See the formula above). OOC is calculated using a calculation means such as a conventional computer. (See the formula above)
Summary If the test membrane or the like is a test apparatus having a structure that separates the two liquid layers, and the test membrane does not have a hole through which leukocytes pass, the calculation result is 0. The larger the hole, the larger the leukocyte cluster, and so on. Furthermore, the relative differential operation (calculation state) of τs.c. Of the leukocyte cluster and its solution (state) in the past, present, and future. , The spatiotemporal characteristics of the hole size of the test film are calculated and displayed at the same time.

Example 3 discloses a leukocyte continuum observation means capable of observing a cell continuum such as a leukocyte continuum and then easily shifting to individual cell analysis such as flow cytometry.
FIG. 25 shows the leukocyte continuum test means 1 that easily shifts to flow cytometry.
This is step 1 of shifting the sampling means such as a continuous circular probe to the observation means.
The rectangle on the left is a transparent substrate such as a cover glass, on which a truncated cone-shaped sample holding means having a hollow inside is attached. Living tissue (fluid, liquid, solid, etc.) collected by a continuous circular probe or the like is joined to the upper part.
FIG. 26
Leukocyte continuum test means 2 that easily shifts to flow cytometry
Stage 1 to shift sampling means such as continuous circular probe to observation means
The diameter of the continuous circular probe and the sample holding means may be the same, or the observation surface may be widened as shown in the figure. In that case, if the continuous circular probe and the sample holding means are set as shown in FIGS. 25 and 26, the sample can be easily observed.
FIG. 27
Leukocyte continuum test means 3 that easily shifts to flow cytometry
Stage 2 to shift sampling means such as continuous circular probe to observation means
The stage of transferring the collected sample to a transparent substrate such as a cover glass with a fluid, viscous material, liquid, gas, etc. From the pipe on the right side of the drawing, transfer the collected sample to a transparent substrate such as a cover glass with a fluid, viscous material, liquid, gas, etc. The transparent substrate or sample holding means may be provided with holes or meshes for fluidity and depressurization.
FIG. 28
Leukocyte continuum test means 4 that easily shifts to flow cytometry
The stage of imaging with a microscope or the like after transferring to a transparent substrate such as a cover glass An image processing means such as a microscope observes a transparent substrate such as a cover glass.
Then, the white blood cells are observed and calculated by means such as those in the above embodiment.
FIG. 29
Leukocyte continuum test means 5 that easily shifts to flow cytometry
The stage of collecting with a pipette and transferring to flow cytometry.
After the observation while maintaining the structure is completed, a sample is collected with a pipette or the like and transferred to flow cytometry or the like.
FIG. 30 Transition means for transferring the sample from the continuous circular probe In the above, the sample of the continuous circular probe was extended, but in FIG. 30, the sample is transferred as it is without being extended. Furthermore, since the migration distance is extremely small, the shape of the leukocyte aggregate (leukocyte cluster) is less likely to break.
The pipe on the right (transition means) sprays fluid onto the sample window of the circular probe, much like the nozzle of an inkjet printer. Then, as shown in the figure, the sample is transferred to the slide glass.
In particular,
A fluid, viscous body, liquid, gas, etc. is injected from the pipe (transfer means) on the right side of the drawing, and the collected sample is transferred to a transparent substrate such as a cover glass. From the pipe on the right side of the drawing, the sample collected is transferred to a transparent substrate such as a cover glass using a fluid, viscous material, liquid, gas, etc. (transition means).
(The transparent substrate and the sample holding means may be provided with holes or meshes for fluidity and depressurization.)
FIG. 31 When the collecting means for collecting the sample is a pipe or a needle and when the collecting means for collecting the sample is a pipe or a needle, the collecting means is inserted into a collecting site such as a living body. Then, the sample is collected in layers. The layer transfer means for observing each part of the collected sample is disclosed. The layer transfer means continuously or intermittently transfers a layer having an arbitrarily set thickness to the glass substrate. Specifically, a gap of about 25 μm is provided between the glass substrates of the transfer means pipe, and the transfer operation is interrupted when the sample in the transfer means pipe comes into contact with the glass substrate. Then, the image recognition means captures and records the image of the sample in the recording means.
After the recording is completed, the suction is performed by a suction means or the like as shown in the lower part of FIG. 31, and the process shifts to flow cytometry or the like.
[Transformation example 1]
These mechanisms may be any mechanism as long as the sample can be continuously observed in layers.
In the above, the thickness is 25 μm, but any number of μm may be used. Further, the material and thickness of the glass substrate are free as long as the image recognition means can be used.
Any suction means may be used as long as it can shift to the subsequent flow cytometry (including white blood cell calculation). It can be a pipette, a dental vacuum, a medical vacuum, whatever you can use.
[Modification 2]
In the above, leukocytes were used as the spatiotemporal continuum, but any cell may be used. With cancer cells, spatiotemporal information on cancer can be obtained. Since cancer results from chronic inflammation, the acquisition of spatiotemporal information means that chronic inflammation can be easily eliminated or eliminated.
In the case of cancer
From the image collected by the image recognition means, the values such as Np / γ in the polar set Np and γ may be obtained by the Np / γ calculation means incorporating the differential equation and displayed by the display means. In that case, the risk of cancer becomes clear. again,
An Npγ calculation means may be used in which the closer Np is to 1, the greater the risk, and the larger γ is, the greater the risk.
Furthermore,
An N / Np calculation means that calculates N / Np as a risk value may be adopted.
N / Np is an operation that divides N by Np.
Here, N is the number of cells to be observed, and Np is the Np of the polar set. Np is 1 or more. For N and Np, refer to the above calculation example.
OOC may be used for these calculation means such as the calculation means in the above calculation. That is, it may be calculated by a known analog or digital calculation means and displayed by a known display means.
[Modification 3]
For the transparent substrate, slide glass, and cover glass used above, a known cleaning means for cleaning the surface thereof may be installed after measurement and observation. In this case, image deterioration due to dirt can be prevented.

[Comprehensive transformation example]
0 All the above operators may be operator means. In order to use it as a calculation means, each embodiment may be followed, and ecologically processed parts such as neutrophils, lymphocytes and macrophages, various elementary particles, etc. are suitable, but they should have the same performance. Anything can be used as long as it is used.
1 In the above embodiment, leukocytes, especially neutrophils, were used, but regardless of this, operators (means) such as presence (operator means), poles (operator means), and S operator (operator means) were used. It may be created. Specifically, lymphocytes, erythrocytes, Mφ, hepatocytes, undifferentiated cells, electrons, protons, neutrons, photons, various elementary particles, etc. It may be characterized by having a mathematical expression embedding means for embedding in.
3 Real mathematics including each operator may be incorporated into electronic devices using AIos.
[Explanation, configuration] The formula of N is the mathematical formula input means of the conventional mathematical formula software, the mathematical formula equipment incorporating means by the equipment embedding software for incorporating the mathematical formula into the device, the computer, the mathematical formula input means of various compilers, etc., PLD, LSI , AISIC, optoelectronics, gears, etc. Digital, analog, etc. Formula embedding means, etc. Various mathematical formulas may be incorporated into the device. Furthermore, most of the above formulas are easy on a computer having a four-rule arithmetic unit. In the past, there was no choice but to incorporate it in a numerical calculation program (approximate expression) such as the Lungekutter method for differentiation. However, most of the above expressions can be incorporated in the same format. ..
Furthermore, it can be industrially used in any device or means, such as being easily and possible to be incorporated into an analog circuit as a circuit constant. Formulas and operators consisting of the ultimate means that are used and elementized, the primitive operators that are the ultimate components, the existence, the poles, and the empty Po are patentable. It is also clear that programs and software are patentable because of hardware virtualization. It is clear that this operator is patentable in that it can perform more powerful virtualization than programs and software.
When an expression and a sentence contradict each other, the expression has priority. In the case of an expression and an expression, it goes without saying that the correct one has priority.
The above-mentioned embodiment or modification may be carried out alone or in combination, or may be used for other purposes. The above-mentioned means may also be selected by the operator or the manufacturer. It may be used alone or in any combination.
The entire text of this application is subject to copyright protection. The copyright belongs to RIKEN Co., Ltd., Nonomura Dental Clinic. Please do not copy without permission from us and the clinic. Also, posting on the Internet It is a copyright violation.

It can be used in almost all sciences. It contributes to all industries. This time, it was mainly used for definitive diagnosis of mathematics, biology, chemistry, physics, medicine, and inflammation.

An example of phase classification by the ω1 operator (ω1 operator and ω operator are the same operator.) A Phase classification 1 B to D are phase classification 2B Uncertainty in U.ZaiC Str In C3 coordinate system (continuous) Body also disclosed) C-1 C3 coordinate system (primitive system) D Str in C4 coordinate system (continuum also disclosed) D-1 C4 coordinate system (primitive system) E, F Phase classification 3 G Phase classification 4 H Global View, Global View Explanation of the above (coordinate) axes from A to H The values of Np and Wp are shown on the G axis. Wp is the width of poles and poles, and Np is the number of phases counted for each pole. An example of Np, Wp Example of circuit formation Leukocytes are treated with an aqueous solution and combined to form a circuit. copy right Nonomura Dental Clinic Uncertainty Example of circuit symbols (operator symbols) of U.Zai in U.Zai and StrZai in Str This corresponds to circuit symbols such as NAND, NOR, and NOT. Circuit symbols such as NAND, NOR, and NOT do not support Boolean algebra, but the presence and poles are excellent in that circuit means can also be used for arithmetic operations. An example on existing coordinates An example of the outer field and the inner field Example of modification of the equation of motion A Graphing the equation of motion using the conventional coordinate system (calculation) B Graphing the equation of motion in the C3 coordinate system, which is a smooth coordinate system (calculation) The uniformity of the accelerated object is maintained. ing. Newton's "right line" has been realized. C C3 Example of coordinate system Example of size change {When ωd (switch) is ON and the sky Po is multiplied from the left} and example of number change {If ωd (switch) is ON, the sky Po is on the right When multiplying from, or when ωd (switch) is OFF, it can be multiplied from either the left or right. ) An example of the C3 coordinate system Time and space overlap when observed from us An example of the C4 coordinate system Time and space overlap when observed from us An example of operation with uncertainty An example of uncertainty. G-axis is an example of the C3 coordinate system An example of uncertainty. G-axis is an example of the C4 coordinate system Example of existing operation A Example of uncertainty Existence B C3Str Example of existing pair C C4Str Example of existing pair D Example of pair non-formation E Example of orthogonal existing pair F pole example An example of the world by relative differentiation An example of calculation of the center of the universe, a black hole, and a white hole An example of photon calculation An example of calculation of the existence of uncertainty and the universe An example of calculation of elementary particles due to the presence of uncertainty An example of operations on an aggregate and a continuum τs.c. An example of calculation by a current calculation means (processed white blood cell) An example of membrane inspection by a current calculation means (processed white blood cell) Conventional Cartesian coordinates of the equation of motion (conventional mathematical space) A space that warps when the brake or accelerator is stepped on. Real coordinate display of equation of motion (real mathematical space) Explanation of real math space Phase classification, primitive operators, life indicated by RDE (relative differential equation), life reduction, quasi-life, non-life, etc. Phase classification, primitive operators, life, life reduction, quasi-life, non-life, etc. indicated by RDE (relative differential equation), and our existence space (space) Relationship diagram of existence of (life) continuum, simple substance, etc. in spatiotemporal continuum Leukocyte continuum test means that easily shifts to flow cytometry Step 1 of shifting sampling means such as a single circular probe to observation means Leukocyte continuum testing means that easily shifts to flow cytometry Step 1 of shifting sampling means such as double circular probes to observation means Leukocyte continuum test means that easily shifts to flow cytometry Step 2 that shifts sampling means such as triple circular probe to observation means 2 Covers sample collected with fluid, viscous substance, liquid, gas, etc. Transparent substrate such as glass The stage of transitioning to. Leukocyte continuum test means that easily shifts to flow cytometry 4 The stage of imaging with a microscope after transferring to a transparent substrate such as a cover glass Leukocyte continuum test means that easily shifts to flow cytometry 5 The stage of collecting with a pipette and transferring to flow cytometry. Leukocyte continuum test means that easily shifts to flow cytometry Explanation of means for injecting collected materials onto a transparent substrate such as a cover glass with fluid, viscous body, liquid, gas, etc. From the right pipe, fluid, viscous material, liquid, and gas inject the sample in the window of the continuous circular probe onto a transparent substrate such as a cover glass. When the collecting means is a pipe or a needle. Although the cleaning means is not particularly described in the drawings of FIGS. 25 to 31 above, they may be installed.

Claims (10)

A matrix means of at least 3 rows and 1 column, which is a classification (filter means) means for classifying (filtering) the operand value (expressed by the variable name Ex, etc.) that can perform all kinds of operations such as the measured value obtained by measuring the object to be measured. An arithmetic unit that includes at least ω operator means.
The matrix means
The first line is the calculated value holding means for holding the calculated value, and the second line is the value (property value) used for classifying the calculated value by phase (phase classification). The phase number holding means for holding the number of phases which is the number of time and objects (body) on the same time axis or the same space axis in the space and time of A phase width holding means that holds a phase width that is a value (property value) used to perform the above, and is the width (length) of a time or object (body) on the same time axis or the same space axis in the actual time and space. ,
(Here, in terms of the number of phases and the phase width, it is assumed that time exists up to one axis if it is one-dimensional, and space exists up to three axes if it is three-dimensional.)
It is a matrix means that is

Δ means (abbreviated as Δ) which is a means (phase classification 2) for identifying measured values having a number of phases other than zero in the matrix and having a phase width other than zero in the matrix.
Or / and in the above-mentioned existing operator, at least in the Str operation means that limits negative operations to relative operations, the left Str existing operation means provided with the left Str operation means that is the + side in the relative operation.

Means (abbreviated

)
Or / and in the above-mentioned existing operator, at least in the Str operation means that limits negative operations to relative operations, it is a right Str existing operation means provided with a right Str operation means that is the minus side (minus) in the relative operation.

Means (abbreviated

)
Or / and a polar (phase classification 1) means for identifying a measured value in which the number of phases is zero in the matrix and the phase width is zero in the matrix.
| Means (abbreviated |)

Primitive arithmetic means that performs arithmetic in any or a combination of
A computer (arithmetic unit) characterized by having and.
The arithmetic unit according to claim 1 is
Operands are operands that form a spatiotemporal continuum or spatiotemporal discontinuity in the past, present, future, or a combination thereof.
Primitive arithmetic (child) means for computing the spatiotemporal properties of the operand
As a self-calculation means in which the operand itself performs an operation
Or / and
Using a calculation means other than the operand such as a computer as a self-calculation means
An arithmetic unit characterized by being equipped. The arithmetic unit according to claim 1 or claim 2 is
When the operator means is self-calculation, the arithmetic unit is characterized in that the self-calculation means is white blood cells and the circuit-forming means is water. Placed in the arithmetic unit according to any one of claims 1 to 3,
The arithmetic means in the arithmetic circuit is
An arithmetic unit including a pole value calculation means for calculating the value of a pole unit or a pole continuum in pC3. The arithmetic unit in any one of claims 1 to 4 is
An arithmetic unit characterized in that it is provided with at least an existing Str transition value calculation means that calculates a transition (state) between an existing arithmetic means and a Str calculation means based on an extreme value and its Np value. The arithmetic unit according to claim 5 is
An arithmetic unit including a life pathological condition calculating means for calculating a calculated value in the Str transition value calculating means as a pathological condition or a degree of life. The arithmetic unit in any one of claims 1 to 6 is
A wavestring (WS) means consisting of at least one or more sine waves, or / and cosine waves, existing on the K-axis or / and the G-axis.
Motif means, which is a means for giving amplitude to the wave of the WS means,
An arithmetic unit characterized by being provided with a shape generating means characterized by being provided with and. The arithmetic unit in any one of claims 1 to 7 is
Motif generation means for calculating and outputting the correlation between a shape value, a K-axis or /, and at least one or more sine waves or / existing on the G-axis, and a wave string (WS) consisting of a cosine wave. An arithmetic unit characterized by being equipped with. The arithmetic unit in any one of claims 1 to 8 is
An arithmetic unit including a UEN means for performing any or a combination of phenomenon analysis, substance design, or substance generation by the UEN equation means operating in the arithmetic unit. The arithmetic unit in any one of claims 1 to 9 is
An arithmetic unit characterized by being provided with a substance generating means for generating a substance by breaking the symmetry of a storage field.

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