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Non-standard proof for standard theorem I

Example 1.

Theorem (WWKL 0 )

If a monotone sequence of bounded continuous functions { f n s } n ∈ N

on [ 0 , 1 ] converges to a continuous function f s pointwise, then, each of f n s and f s is integrable and

n lim →∞

Z 1

0

f n s ( x ) dx = Z 1

0

f s ( x ) dx .

Non-standard proof for standard theorem II

2

If g s and g satisfy 1, then for any ω ∈ N ∗ \ N s , Z 1

0

g s ( x ) dx = st

 

 

  X

i<2

ω

g ( i2 ω ) 2 ω

 

 

  .

Let { f n } n≤m (m > N s ) and f ∗ be non-standard continuous functions taken by 1, and let ω ∈ N \ N s . Then, by Σ 0 1 - WSAT 0 and 2, there exists H > N s such that for any N s < n < H,

st( | S ( f n ; ∆ ω ) − S ( f ; ∆ ω ) | ) = 0. Thus, again by Σ 0 1 - WSAT 0 ,

k ∈ N sl ∈ N snl | S ( f n ; ∆ ω ) − S ( f ; ∆ ω ) | ≤ 2 −k . Again by 2, we have lim n →∞ R 1

0 f n s ( x ) dx = R 1

0 f s ( x ) dx.

Non-standard proof for standard theorem III

Example 2.

Theorem (WKL 0 )

Let f : R 2 → R be a continuous function. Then, there exists a maximal global solution x : D → R of the following initial value problem.

 

 

x ( 0 ) = 0 ,

dx

dt = f ( x ( t ), t ).

Proof.

We use the following Cauchy/Peano theorem.

Non-standard proof for standard theorem IV

Lemma (WKL 0 )

Let f : [ 0 , 1 ] 2 → [ − 1 , 1 ] be a continuous function. Then, there exists a solution y : [ 0 , 1 ] → R of the following initial value problem.

 

 

x ( 0 ) = 0 ,

dy

dt = f ( y ( t ), t ).

Within WKL 0 ns , we can expand f into a non-standard continuous function ¯ f such that st(¯ f ) = f and | ¯ f | < M for some M > N s . Then, apply the Cauchy/Peano theorem for an infinite interval [ − ω, ω]

( ω > N s ) for ¯ f , and take a local solution y : [ − ω, ω] → R ∗ .

Non-standard proof for standard theorem V

By infinitesimal approximation, there exists a bloken line

¯

x : [ − ω, ω] → R ∗ such that x ¯ ≈ y and satisfies the following:

¯

x ( t ) ≈ Sfx ( t ), t ); ∆) (1) for any infinitesimal splittng ∆ of [ 0 , t ] .

For n ∈ N ∗ , let

p n = inf { t : ts0 → | ¯ x ( s ) | ≤ n } , q n = inf { t : 0 ≤ st → | ¯ x ( s ) | ≤ n } .

Then, for any n ∈ N s , x is ¯ s -continuous on ( p n , q n ) by (1).

Thus, the standard part x = st(¯ x ) is a maximal global solution on

D = ∪ n ∈ N

s

( p n , q n ) .

Outline

1 Introduction

RM and subsystems of second-order arithmetic Non-standard analysis

Related topics

2 Non-standard second-order arithmetic Non-standard second-order arithmetic Axioms for non-standard analysis Non-standard analysis in NSOA

3 Non-standard axioms and Reverse Mathematics Reverse Mathematics for non-standard analysis The strengh of transfer principle

Standard part principle

Question

Which axioms are essentially needed for non-standard analysis?

Reverse Mathematics for non-standard analysis

WWKL 0 ns proves:

Lebesgue measure is the standard part of Loeb measure.

Riemann integral can be infinitesimally approximated by

hyperfinite Riemann sum.

Reverse Mathematics for non-standard analysis

Within RCA 0 ns ,

“Lebesgue measure is the standard part of Loeb measure”

⇔ WWKL

0ns

.

“Riemann integral can be infinitesimally approximated by hyperfinite Riemann sum”

⇔ WWKL

0ns

.

This means that LMP is equivalent to “approximation for measure

and integral”.

Reverse Mathematics for non-standard analysis

Within RCA 0 ns ,

“Lebesgue measure is the standard part of Loeb measure”

⇔ WWKL

0ns

.

“Riemann integral can be infinitesimally approximated by hyperfinite Riemann sum”

⇔ WWKL

0ns

.

This means that LMP is equivalent to “approximation for measure

and integral”.

Reverse Mathematics for non-standard analysis

WKL 0 ns proves:

Every continuous function can be infinitesimally approximated by hyperfinite broken line.

Every compact separable metric space is a standard part of a

non-standard metric space whose points are all standard.

Reverse Mathematics for non-standard analysis

Within RCA 0 ns ,

Every continuous function can be infinitesimally approximated by hyperfinite broken line.

⇔ WKL

0ns

.

Every compact separable metric space is a standard part of a non-standard metric space whose points are all standard.

⇔ WKL

0ns

.

This means that ST is equivalent to “approximation for continuous

functions”.

Reverse Mathematics for non-standard analysis

Within RCA 0 ns ,

Every continuous function can be infinitesimally approximated by hyperfinite broken line.

⇔ WKL

0ns

.

Every compact separable metric space is a standard part of a non-standard metric space whose points are all standard.

⇔ WKL

0ns

.

This means that ST is equivalent to “approximation for continuous

functions”.

Reverse Mathematics for non-standard analysis

ACA 0 ns proves:

If { a

ns

} is a bounded sequence of standard real numbers, then for some non-standard ω, st(a

ω

) is an accumulation value of { a

ns

} .

If { f

n

} is a normal family of holomorphic functions on a bounded domain, then for some non-standard ω, st(f

ω

) is an

accumulation value of { f

ns

} . Π 1 1 CA 0 ns proves:

For every closed set C of a complete separable metric space,

there exists a non-standard sequence { c

n

} such that for any

non-standard ω, st( { c

i

| i < ω } ) = C.

Reverse Mathematics for non-standard analysis?

Within RCA 0 ns ,

“If { a

ns

} is a bounded sequence of standard real numbers, then for some non-standard ω, st(a

ω

) is an accumulation value of { a

ns

} ”

; ACA

0ns

.

“If { f

n

} is a normal family of holomorphic functions on a bounded domain, then for some non-standard ω, st(f

ω

) is an accumulation value of { f

ns

} ”

; ACA

0ns

. Within RCA 0 ns ,

For every closed set C of a complete separable metric space, there exists a non-standard sequence { c

n

} such that for any non-standard ω, st( { c

i

| i < ω } ) = C.

; Π

11

CA

0ns

.

Reverse Mathematics for non-standard analysis?

Within RCA 0 ns ,

“If { a

ns

} is a bounded sequence of standard real numbers, then for some non-standard ω, st(a

ω

) is an accumulation value of { a

ns

} ”

; ACA

0ns

.

“If { f

n

} is a normal family of holomorphic functions on a bounded domain, then for some non-standard ω, st(f

ω

) is an accumulation value of { f

ns

} ”

; ACA

0ns

. Why?

⇒ These are provable within WKL 0 ns + Σ 1 0 TP, but Σ 1 1 TP is not provable from WKL 0 ns + Σ 1 0 TP.

In fact, Σ 1 1 TP is non-standard over WKL 0 ns + Σ 1 0 TP, i.e.,

WKL 0 ns + Σ 1 0 TP +( TA 2 ) s does not prove Σ 1 1 TP.

Reverse Mathematics for non-standard analysis?

Within RCA 0 ns ,

“If { a

ns

} is a bounded sequence of standard real numbers, then for some non-standard ω, st(a

ω

) is an accumulation value of { a

ns

} ”

; ACA

0ns

.

“If { f

n

} is a normal family of holomorphic functions on a bounded domain, then for some non-standard ω, st(f

ω

) is an accumulation value of { f

ns

} ”

; ACA

0ns

. Why?

⇒ These are provable within WKL 0 ns + Σ 1 0 TP, but Σ 1 1 TP is not provable from WKL 0 ns + Σ 1 0 TP.

In fact, Σ 1 1 TP is non-standard over WKL 0 ns + Σ 1 0 TP, i.e.,

WKL 0 ns + Σ 1 0 TP +( TA 2 ) s does not prove Σ 1 1 TP.

Reverse Mathematics for non-standard analysis?

Within RCA 0 ns ,

“If { a

ns

} is a bounded sequence of standard real numbers, then for some non-standard ω, st(a

ω

) is an accumulation value of { a

ns

} ”

; ACA

0ns

.

“If { f

n

} is a normal family of holomorphic functions on a bounded domain, then for some non-standard ω, st(f

ω

) is an accumulation value of { f

ns

} ”

; ACA

0ns

. Why?

⇒ These are provable within WKL 0 ns + Σ 1 0 TP, but Σ 1 1 TP is not provable from WKL 0 ns + Σ 1 0 TP.

In fact, Σ 1 1 TP is non-standard over WKL 0 ns + Σ 1 0 TP, i.e.,

WKL 0 ns + Σ 1 0 TP +( TA 2 ) s does not prove Σ 1 1 TP.

Transfer principle

We need to compare TP with axioms of second-order arithmetic.

However, . . . Theorem

WKL 0 ns + Σ 1 0 TP + (TA 2 ) s does not prove Σ 1 1 TP .

Theorem

1

(Impense, Sanders) PRA ⊢ Con(ERNA + ˇ Σ 0 2 TP) . ( ERNA : Elementary Recursive Non-standard Analysis)

2

RCA 0 ns + ST + Σ 0 2 TP ⊢ ACA 0 .

The strengh of transfer principle

On the other hand, Theorem

1

Σ 1 0 TP < Σ 1 1 TP < Σ 1 2 TP over RCA 0 ns + ST .

2

RCA 0 ns + ST + Σ 1 2 TP ≡ Π

1

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