Wednesday, 21 November 2018

What is signal? A mathematical model of nerve 26 November 2018

What is signal?

A mathematical model of nerve

For father and mother

TANAKA Akio

Tokyo
21 November 2018-26 November 2018


0.
This short paper would finally write on signal through the relation between language and nerve, for which using mathematical method at the way.
This paper's one of kernels is energy which is naturally accepted at the side of verve, but at the side of language, it may be not accepted widely till now.
In this paper, I probably do not refer to the language's energy, that has been written several times in the papers before.
If necessary refer to the next essays.

The days when I was thinking on Energy Distance Theory
Energy of language

1.
Next definition for language shows my simple image to language and energy.


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Language
Definition for the Child who Lost the World 


0 The world spreads around the human being.
1 Language divides the world.
2 Language connects the world.
3 Language bends the world.
4 Language stretches the world.
5 Language shrinks the world.
6 Language extinguishes the world.
7 Language creates the world.
8 Language gives despair.
9 Language gives hope.
10 Language is pasting on spacetime with energy.
Postscript
[Referential note / November 29, 2007]
For Authentication of Solidity 
[Definition added / November 3, 2008]
Definition 10, the part of <with energy> is newly added.
Tokyo March 3, 2007
Tokyo November 3, 2008 Added


Read more: https://srfl-lab.webnode.com/news/language-definition-for-the-child-who-lost-the-world/



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2.
On language and human sense, I ever wrote simply at the next paper.


Macro Time and Micro time

TANAKA Akio
24 July 2013
atbankofdam


1. Through natural language, in human being, occurred the electrical signal by eye or ear. These complex situations are beyond this paper’s limits.
2. Language is a physical object as signal and its transmission. At this circumstances, language must be recognised to be the existence that has finite time.
3. An apple on the desk gradually becomes rotten by passing the time very after the crop in the orchard. #0
4. Like an apple, language has passing physical time in oneself.
5. Language is metamorphosed  by the time progressing.  #1
6. Language includes the outer world from human being to universe. At this declaration, I recall Blaise Pascal’s Pensées. XXXIII. PROOFS OF JESUS CHRIST 308 The infinite distance between body and mind symbolizes the infinitely more infinite distance between mind and charity, for charity is supernatural.(Translated by A.J. Krailsheimer, 1966) #2
7. Language’s time goes freely from the present to the future or the present to the past. #3
8. Language symbolises the time from finiteness to infinity. #4
9. Human being recognises this vast language world perfectly. #5

References
#0 For WITTGENSTEIN Ludwig Position of Language / December 10, 2005 – August 3, 2012 / Sekinan Research Field of Language
#1 Time of Word / Complex Manifold Deformation Theory / January 1, 2009 / sekinanlogos
#2 PASCAL PENSÉES. Translated with an introduction by A.J. Krailsheimer. PENGUIN BOOKS 1966.
#3 Escalator language and Time For SHINRAN’s Idea and BOHDISATTVA / Escalator Language Theory / December 16, 2006 / Sekinan Research Field of Language
#4 From Finiteness to Infinity on Language / Topological Group Theory / February 1, 2009 / sekinanlogos
#5 Understandability of Language / Complex Manifold Deformation Theory /January 9, 2009 / sekinanlogos


Read more: https://srfl-lab.webnode.com/news/macro-time-and-micro-time/


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3.
Signal Goes to meaning.
Traffic signal shows Go, Attention and Stop to people by three colour lights
Morse code sends a message by short and long signals.
Signal has structure that resembles language.
Morse code can regards as a written language.
What is signal's peculiarity?
It depends on signal's generation that has simple on-off phenomenon.
This phenomenon combines with the other on-off phenomena and become complex structure that has meaning like language.
Signal seems a primordial form of language.


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4.
Is nerve signal?
I have any knowledge on physiological nerve.
So at this paper I prepare a mathematical model of nerve comparative with signals.
At mathematical model, on-off system is not simply fit with the expression of mathematical space.
Here on-off system is arranged for more simple form.
I ever wrote a paper below.

Manuscript of Quantum Theory for Language   2003

The paper is a very intuitive one but there are some hints on signal.
Now I need one chapter for my new trial paper.
The chapter is " 6. Basic principle of quantum theory"
The original text is the following.

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6 量子理論の基本原理
 量子理論は、伝統的には実辞とされる陽性量子が1階層で進行することが基本である。したがってある種の量子群すなわち文において、陰性量子が冒頭に立つときには、その前に陽性量子または量子群が省略されたと考えることができる。
陰性量子が陽性量子の進行方向に変化を与えて、新しい階層に移行させることは、陰性量子が受けている被圧迫エネルギーによるとしたが、より正確には、以下のように説明できる。
一般に断定の虚辞とされる「也」は、その実辞としての意味は現代においては不分明であり、陽性量子としてはほぼ消滅したと考えることができる。その代わりに陰性量子としての虚辞機能が台頭して現在に至るが、その機能を細分すれば、断定、主題提示、呼びかけ、詠嘆、疑問、反語等の極めて多様である。
たとえば、「回也不愚」(『論語』為政篇)においては、「回」という人物が、(階層が変わり)孔子の心中において、(また階層が変わり)否定される存在であり、(さらに階層が変わり)「おろかものの類」が提示される。」
「階層が変わる」ということは、「回」という人物が、「也」と出現によって実在の人物から、孔子の心中における考察対象へと変換されたことを意味し、さらにその考察対象が「不」によって抹消されることを意味し、さらに新しく「愚」という概念が登場することを意味する。
すなわち陰性量子は、陽性量子が有する言語世界への直接的な意味を行うのではなく、実辞としてはもはや空白となった自らの領域へ、陽性量子を導くjことによって、一種の真空無重力の状態を現前させ、その方位を転換することであると仮定する。その転換に必要とされるエネルギーは、領域が受けている被圧迫のエネルギーから生ずるものと仮定する。 

Read more: https://srfl-lab.webnode.com/products/manuscript-of-quantum-theory-for-language-with-preface-note-and-note-2-2003-2018/


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At this chapter, the most important concept is positive quantum and negative quantum.
Negative quantum changed to positive quantum by energy.
At the linear space, quantum changes positive to negative and also negative to positive.
By this model, on-off phenomena are mapped at the linear space's quanta's situation.
In the models, quantum is led from V.G.Drinfel'd and M.Jinbo's Quantum group originated in 1985.

Reference
JIMBO Michio. Quantum group and Yang-Baxter equation. Maruzen Shuppan. Tokyo. 2012


5.



This paper is unfinished.

Sunday, 18 November 2018

von Neumann Algebra 2 Note Generation Theorem 2008

von Neumann Algebra 2
 
Note
Generation Theorem 
 
TANAKA Akio
 
 
[Main Theorem]
<Generation theorem>
Commutative von Neumann Algebra N is generated by only one self-adjoint operator.
[Proof outline]
N is generated by countable {An}.
An = *An
Spectrum deconstruction       An = ∫1-1  λdEλ(n)
C*algebra that is generated by set { Eλ(n) ; λ∈Q∩[-1, 1], n∈N}     A
A’’ = N
A is commutative.
I∈A
Existence of compact Hausdorff space Ω = Sp(A  )
A   = C(Ω)
Element corresponded with f∈C(Ω)     A∈A
N is generated by A.
 
 
[Index of Terms]
|A|Ⅲ7-5
|| . ||Ⅱ2-2
||x||Ⅱ2-2
<x, y>Ⅱ2-1
*algebraⅡ3-4
*homomorphismⅡ3-4
*isomorphismⅡ3-4
*subalgebraⅡ3-4
adjoint spaceⅠ12
algebraⅠ8
axiom of infinityⅠ1-8
axiom of power setⅠ1-4
axiom of regularityⅠ1-10
axiom of separationⅠ1-6
axiom of sumⅠ1-5
B ( H )Ⅱ3-3
Banach algebraⅡ2-6
Banach spaceⅡ2-3
Banach* algebraⅡ2-6
Banach-Alaoglu theoremⅡ5
basis of neighbor hoodsⅠ4
bicommutantⅡ6-2
bijectiveⅡ7-1
binary relationⅡ7-2
boundedⅡ3-3
bounded linear operatorⅡ3-3
bounded linear operator, B ( H )Ⅱ3-3
C* algebraⅡ2-8
cardinal numberⅡ7-3
cardinality, |A|Ⅱ7-5
characterⅡ3-6
character space (spectrum space), Sp( )Ⅱ3-6
closed setⅠ2-2
commutantⅡ6-2
compactⅠ3-2
complementⅠ1-3
completeⅡ2-3
countable setⅡ7-6
countable infinite setⅡ7-6
coveringⅠ3-1
commutantⅡ6-2
D ( )Ⅱ3-2
denseⅠ9
dom( )Ⅱ3-2
domain, D ( ), dom( )Ⅱ3-2
empty setⅠ1-9
equal distance operatorⅡ4-1
equipotentⅢ7-1
faithfulⅡ3-4
Gerfand representationⅡ3-7
Gerfand-Naimark theoremⅡ4
HⅡ3-1
Hausdorff spaceⅠ5
Hilbert spaceⅡ3-1
homomorphismⅡ3-4
idempotent elementⅡ9-1
identity elementⅡ9-1
identity operatorⅡ6-1
injectiveⅢ7-1
inner productⅡ2-1
inner spaceⅠ6
involution*Ⅰ10
linear functionalⅡ5-2
linear operatorⅡ3-2
linear spaceⅠ6
linear topological spaceⅠ11
locally compactⅠ3-2
locally vertexⅠ11
NⅢ3-8
N1Ⅲ3-8
neighborhoodⅠ4
normⅡ2-2
normⅡ3-3
norm algebraⅡ5
norm spaceⅡ2-2
normalⅡ2-4
normalⅡ3-4
open coveringⅠ3-2
open setⅠ2-2
operatorⅡ3-2
ordinal numberⅡ7-3
productⅠ8
product setⅡ7-2
r( )Ⅱ2
R ( )Ⅱ3-2
ran( )Ⅱ3-2
range, R ( ), ran( )Ⅱ3-2
reflectiveⅠ12
relationⅢ7-2
representationⅡ3-5
ringⅠ7
Schwarz’s inequalityⅡ2-2
self-adjointⅡ3-4
separableⅡ7-7
setⅠ7
spectrum radius r( )Ⅱ2
Stone-Weierstrass theoremⅡ1
subalgebraⅠ8
subcoveringⅠ3-1
subringⅠ7
subsetⅠ1-3
subspaceⅠ2-3
subtopological spaceⅠ2-3
surjectiveⅢ7-1
system of neighborhoodsⅠ4
τs topologyⅡ7-9
τw topologyⅡ7-9
the second adjoint spaceⅠ12
topological spaceⅠ2-2
topologyⅠ2-1
total order in strict senseⅡ7-3
ultra-weak topologyⅢ6-4
unit sphereⅡ5-1
unitaryⅡ3-4
vertex setⅡ3-3
von Neumann algebraⅡ6-3
weak topologyⅡ5-3
weak * topologyⅡ5-3
zero elementⅡ9-1
 
[Explanation of indispensable theorems for main theorem]
ⅠPreparation
<0 Formula>
0-1 Quantifier
(i) Logic quantifier  ┐ ⋀  ⋁  → ∀ ∃
(ii) Equality quantifier  =
(iii) Variant term quantifier
(iiii) Bracket  [  ]
(v) Constant term quantifier
(vi) Functional quantifier
(vii) Predicate quantifier
(viii) Bracket  (   )
(viiii) Comma  ,
0-2 Term defined by induction
0-3 Formula defined by induction 
 
<1 Set>
1-1 Axiom of extensionality     ∀x∀y[∀z∈x↔z∈y]→x=y.
1-2 Set     a, b
1-3 a is subset of b.    ∀x[x∈a→x∈b].Notation is a⊂b. b-a = {x∈b ; x∉a} is complement of a.
1-4 Axiom of power set     ∀x∃y∀z[z∈y↔z⊂x]. Notation is P (a).
1-5 Axiom of sum     ∀x∃y∀z[z∈y↔∃w[z∈w∧w∈x]]. Notation is ∪a.
1-6 Axiom of separation     x, t= (t1, …, tn), formula φ(x, t)     ∀x∀t∃y∀z[z∈y↔z∈x∧φ(x, t)].
1-7 Proposition of intersection     {x∈a ; x∈b} = {x∈b; x∈a} is set by axiom of separation. Notation is a∩b.
1-8 Axiom of infinity     ∃x[0∈x∧∀y[y∈x→y∪{y}∈x]].
1-9 Proposition of empty set     Existence of set a is permitted by axiom of infinity. {x∈a; x≠x} is set and has not element. Notation of empty set is 0 or Ø.
1-10 Axiom of regularity     ∀x[x≠0→∃y[y∈x∧y∩x=0].
 
<2 Topology>
2-1
Set     X
Subset of power set P(X)     T
T that satisfies next conditions is called topology.
(i) Family of X’s subset that is not empty set     <Ai; i∈I>, Ai∈T→∪i∈I Ai is belonged to T.       
(ii) A, B ∈T→ A∩B∈T
(iii) Ø∈T, X∈T.
2-2
Set having T, (X, T), is called topological space, abbreviated to X, being logically not confused.
Element of T is called open set.
Complement of Element of T is called closed set.
2-3
Topological space     (X, T)
Subset of X     Y
S ={A∩Y ; A∈T}
Subtopological space     (Y, S)   
Topological space is abbreviated to subspace.
 
<3 Compact>
3-1
Set     X
Subset of X     Y
Family of X’s subset that is not empty set     U = <Ui; i∈I>
U is covering of Y.     ∪U = ∪i∈I ⊃Y
Subfamily of U   V = <Ui; i∈J > (J⊂I)
V is subcovering of U.
3-2
Topological space     X
Elements of U     Open set of X
U is called open covering of Y.
When finite subcovering is selected from arbitrary open covering of X, X is called compact.
When topological space has neighborhood that is compact at arbitrary point, it is called locally compact.
 
<4 Neighborhood>
Topological space     X
Point of X     a
Subset of X     A
Open set    B
a∈B⊂A
A is called neighborhood of a.
All of point a’s neighborhoods is called system of neighborhoods.
System of neighborhoods of point a     V(a)
Subset of V(a)     U
Element of U     B
Arbitrary element of V(a)     A
When B⊂A, U is called basis of neighborhoods of point a.
 
<5 Hausdorff space>
Topological space X that satisfies next condition is called Hausdorff space.
Distinct points of X     a, b        
Neighborhood of a     U
Neighborhood of b     V
U∩V = Ø
 
<6 Linear space>
Compact Hausdorff space     Ω
Linear space that is consisted of all complex valued continuous functions over Ω     C(Ω)
When Ω is locally compact, all complex valued continuous functions over Ω, that is 0 at infinite point is expressed by C0(Ω).
 
<7 Ring>
Set     R
When R is module on addition and has associative law and distributive law on product, R is called ring.
When ring in which subset S is not φ satisfies next condition, S is called subring.
a, b∈S
ab∈S
 
<8 Algebra>
C(Ω) and C0(Ω) satisfy the condition of algebra at product between points.
Subspace     A ⊂C(Ω) or A ⊂C0(Ω)
When A is subring, A is called subalgebra.
 
<9 Dense>
Topological space     X
Subset of X     Y
Arbitrary open set that is not Ø in X     A
When A∩Y≠Ø, Y is dense in X.
 
<10 Involution>
Involution * over algebra A over C is map * that satisfies next condition.
Map * : A∈A ↦ A*∈A
Arbitrary A, B∈A, λ∈C
(i) (A*)* = A
(ii) (A+B)* = A*+B*
(iii) (λA)* =λ-A*
(iiii) (AB)* = B*A*
 
<11 Linear topological space>
Number field     K
Linear space over K     X
When X satisfies next condition, X is called linear topological space.
(i) X is topological space
(ii) Next maps are continuous.
(x, y)∈X×X ↦ x+y∈X
(λ, x)∈K×X ↦λx∈X
Basis of neighborhoods of X’ zero element 0     V
When V⊂V is vertex set, X is called locally vertex.
 
<12 Adjoint space>
Norm space     X
Distance     d(x, y) = ||x-y|| (x, y∈X )
X is locally vertex linear topological space.
All of bounded linear functional over X    X*
Norm of f ∈X*      ||f||
X* is Banach space and is called adjoint space of X.
Adjoint space of X* is Banach space and is called the second adjoint space.
When X = X*, X is called reflective.
 
 
ⅡIndispensable theorems for proof
<1 Stone-Weierstrass Theorem>
Compact Hausdorff space     Ω
Subalgebra     A ⊂C(Ω)
When A ⊂C(Ω) satisfies next condition, A  is dense at C(Ω).
(i) A  separates points of Ω.
(ii) f∈A → f-∈A
(iii) 1∈A
Locally compact Hausdorff space        Ω
Subalgebra     A ⊂C0(Ω)
When A ⊂C0(Ω) satisfies next condition, A  is dense at C0(Ω).
(i) A  separates points of Ω.
(ii) f∈A → f-∈A
(iii) Arbitrary ω∈A ,  f∈A ,  f(ω) ≠0
 
<2 Norm algebra>
C* algebra     A
Arbitrary element of A     A
When A is normal, limn→∞||An||1/n = ||A||
limn→∞||An||1/n  is called spectrum radius of A. Notation is r(A).
 
[Note for norm algebra]
<2-1>
Number field     K = R or C
Linear space over K     X
Arbitrary elements of X     x, y
< x, y>∈K satisfies next 3 conditions is called inner product of x and y.
Arbitrary x, y, z∈X, λ∈K
(i) <x, x> ≧0,  <x, x> = 0 ⇔x = 0
(ii) <x, y> = 
(iii) <x, λy+z> = λ<x, y> + <x, z>
Linear space that has inner product is called inner space.
 
<2-2>
||x|| = <x, x>1/2
Schwarz’s inequality
Inner space     X
|<x, y>|≦||x|| + ||y||
Equality consists of what x and y are linearly dependent.
||・|| defines norm over X by Schwarz’s inequality.
Linear space that has norm || ・|| is called norm space.
 
<2-3>
Norm space that satisfies next condition is called complete.
un∈X (n = 1, 2,…), limn, m→∞||un – um|| = 0
u∈X   limn→∞||un – u|| = 0
Complete norm space is called Banach space.
 
<2-4>
Topological space X that is Hausdorff space satisfies next condition is called normal.
Closed set of X     F, G
Open set of X     U, V
F⊂U, G⊂V, U∩V = Ø
 
<2-5>
When A  satisfies next condition, A  is norm algebra.
A  is norm space.
∀A, B∈A
||AB||≦||A|| ||B||
 
<2-6>
When A is complete norm algebra on || ・ ||, A is Banach algebra.
 
<2-7>
When A is Banach algebra that has involution * and || A*|| = ||A|| (∀A∈A),  A is Banach * algebra.
 
<2-8>
When A is Banach * algebra and ||A*A|| = ||A||2(∀A∈A) , A is C*algebra.
 
<3 Commutative Banach algebra>
Commutative Banach algebra     A
Arbitrary A∈A
Character X
|X(A)|≦r(A)≦||A||
 
[Note for commutative Banach algebra]  (   ) is referential section on this paper.
<3-1 Hilbert space>
Hilbert space     inner space that is complete on norm ||x||      Notation is H.
 
<3-2 Linear operator>
Norm space     V
Subset of V     D
Element of D     x
Map T : x → Tx∈V
The map is called operator.
D is called domain of T. Notation is D ( T ) or dom T.
Set A⊂D
Set TA     {Tx : x∈A}
TD is called range of T. Notation is R (T) or ran T.
α , β∈C,   x, y∈D ( T )
T(αx+βy) = αTx+βTy
T is called linear operator.
 
<3-3 Bounded linear operator>
Norm space     V
Subset of V     D
sup{||x|| ; x∈D} < ∞
D is called bounded.
Linear operator from norm space V to norm space V1      T
D ( T ) = V
||Tx||≦γ (x∈V )  γ > 0
T is called bounded linear operator.
||T || := inf {γ : ||Tx||≦γ||x|| (x∈V)} = sup{||Tx|| ; x∈V, ||x||≦1} = sup{; x∈V,  x≠0}
||T || is called norm of T.
Hilbert space     H ,K
Bounded linear operator from H  to K     B (H, K )
B ( H ) : = B ( H, H )
Subset K ⊂H
Arbitrary x, y∈K, 0≦λ≦1
λx + (1-λ)y ∈K
K  is called vertex set.
 
<3-4 Homomorphism>
Algebra A  that has involution*       *algebra
Element of *algebra     A∈A
When A = A*, A is called self-adjoint.
When A *A= AA*, A is called normal.
When A A*= 1, A is called unitary.
Subset of A     B
B * := B*∈B
When B = B*, B is called self-adjoint set.
Subalgebra of A     B
When B is adjoint set, B is called *subalgebra.
Algebra     A, B
Linear map : A →B  satisfies next condition, π is called homomorphism.
π(AB) = π(A)π(B) (∀A, B∈A )
*algebra    A
When π(A*) = π(A)*, π is called *homomorphism.
When ker π := {A∈A ; π(A) =0} is {0},π is called faithful.
Faithful *homomorphism is called *isomorphism.
 
<3-5 Representation>
*homomorphism π from *algebra to B ( H ) is called representation over Hilbert space H of A .
 
<3-6 Character>
Homomorphism that is not always 0, from commutative algebra A  to C, is called character.
All of characters in commutative Banach algebra A  is called character space or spectrum space. Notation is Sp( A ).
 
<3-7 Gerfand representation>
Commutative Banach algebra     A
Homomorphism ∧: A →C(Sp(A))
∧is called Gerfand representation of commutative Banach algebra A.
 
<4 Gerfand-Naimark Theorem>
When A is commutative C* algebra, A  is equal distance *isomorphism to C(Sp(A)) by Gerfand representation.
 
[Note for Gerfand-Naimark Theorem]
<4-1 equal distance operator>
Operator     A∈B ( H )
Equal distance operator A     ||Ax|| = ||x|| (∀x∈H)
 
<4-2 Equal distance *isomorphism>
C* algebra      A
Homomorphism π
π(AB) = π(A)π(B) (∀A, B∈A )
*homomorphism   π(A*) = π(A)*
*isomorphism     { π(A) =0} = {0}
 
<5 Banach-Alaoglu theorem>
When X is norm space, (X*)1 is weak * topology and compact.
 
[Note for Banach-Alaoglu theorem]
<5-1 Unit sphere>
Unit sphere X1 := {x∈X ; ||x||≦1}
 
<5-2 Linear functional>
Linear space     V
Function that is valued by K     f (x)
When f (x) satisfies next condition, f is linear functional over V.
(i) f (x+y) = f (x) +f (y)   (x, y∈V)
(ii) f (αx) = αf (x)   (α∈K, x∈V)
 
<5-3 weak * topology>
All of Linear functionals from linear space X to K     L(X, K)
When X is norm space, X*⊂L(X, K).
Topology over X , σ(X, X*) is called weak topology over X.
Topology over X*, σ(X*, X) is called weak * topology over X*.
 
<6 *subalgebra of B ( H )>
When *subalgebra N of B ( H ) is identity operator I∈N , N ”= N is equivalent with τuw-compact.
 
[Note for *subalgebra of B ( H )]
<6-1 Identity operator>
Norm space     V
Arbitrary x∈V
Ix = x
I is called identity operator.
 
<6-2 Commutant>
Subset of C*algebra B (H)     A
Commutant of A     A ’
A ’ := {A∈B (H) ; [A, B] := AB – BA = 0, ∀B∈A }
Bicommutant of A     A ' ’’ := (A ’)’
A ⊂A ’’
 
<6-3 von Neumann algebra>
*subalgebra of C*algebra B (H)     A
When A  satisfies A ’’ = A  , A  is called von Neumann algebra.
 
<6-4 Ultra-weak topology>
Sequence of B ( H )     {Aα}
{Aα} is convergent to A∈B ( H )
Topology     τ
When α→∞, Aα →τ A
Hilbert space     H
Arbitrary {xn}, {yn}⊂H
∑n||xn||2 < ∞
∑n||yn||2 < ∞
|∑n<xn, (Aα- A)yn>| →0
A∈B ( H )
Notation is Aα →uτ A
 
[ 7 Distance theorem]
For von Neumann algebra N over separable Hilbert space, N1 can put distance on τs and τw topology.
 
[Note for distance theorem]
<7-1 Equipotent>
Sets     A, B
Map     f : A → B
All of B’s elements that are expressed by f(a) (a∈A)     Image(f)
a , a’∈A
When f(a) = f(a’) →a = a’, f is injective.
When Image(f) = B, f is surjective.
When f is injective and surjective, f is bijective.
When there exists bijective f from A to B, A and B are equipotent.
 
<7-2 Relation>
Sets     A, B
x∈A, y∈B
All of pairs <x, y> between x and y are set that is called product set between a and b.
Subset of product set A×B     R
R is called relation.
x∈A, y∈B, <x, y>∈R     Expression is xRy. 
When A =B, relation R is called binary relation over A.     
 
<7-3 Ordinal number>
Set     a
∀x∀y[x∈a∧y∈x→y∈a]
a is called transitive.
x, y∈a
x∈y is binary relation.
When relation < satisfies next condition, < is called total order in strict sense.
∀x∈A∀y∈A[x<y∨x=y∨y<x]
When a satisfies next condition, a is called ordinal number.
(i) a is transitive.
(ii) Binary relation ∈ over a is total order in strict sense.
 
<7-4 Cardinal number>
Ordinal number    α
α that is not equipotent to arbitrary β<α is called cardinal number.
 
<7-5 Cardinality>
Arbitrary set A is equipotent at least one ordinal number by well-ordering theorem and order isomorphism theorem.
The smallest ordial number that is equipotent each other is cardinal number that is called cardinality over set A. Notation is |A|.
When |A| is infinite cardinal number, A is called infinite set.
 
<7-6 Countable set>
Set that is equipotent to N     countable infinite set
Set of which cardinarity is natural number     finite set
Addition of countable infinite set and finite set is called countable set.
 
<7-7 Separable>
Norm space     V
When V has dense countable set, V is called separable.
 
<7-8 N1>
von Neumann algebra     N   
A∈B ( H )
N1 := {A∈N; ||A||≦1}
 
<7-9 τs and τw topology>
<7-9-1τs topology>
Hilbert space     H
A∈B ( H )
Sequence of B ( H )  {Aα}
{Aα} is convergent to A∈B ( H )
Topology     τ
When α→∞, Aα →τ A
|| (Aα- A)x|| →0 ∀x∈H
Notation is Aα →s A
<7-9-2 τw topology>
Hilbert space     H
A∈B ( H )
Sequence of B ( H )  {Aα}
{Aα} is convergent to A∈B ( H )
Topology     τ
When α→∞, Aα →τ A
|<x, (Aα- A)y>| →0 ∀x, y∈H
Notation is Aα →w A
 
<8 Countable elements>
von Neumann algebra N over separable Hilbert space is generated by countable elements.
 
<9 Only one real function>
For compact Hausdorff space Ω,C(Ω) that is generated by countable idempotent elements is generated by only on real function.
 
<9-1>
Set that is defined arithmetic・     S
Element of S     e
e satisfies a・e = e・a = a is called identity element.  
Identity element on addition is called zero element.
Ring’s element that is not zero element and satisfies a2 = a is called idempotent element.
 
 
To be continued
Tokyo April 20, 2008
Sekinan Research Field of Language
www.sekinan.org


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