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Axioms of determinacy and their set-theoretic strength Daisuke - - PowerPoint PPT Presentation

Axioms of determinacy and their set-theoretic strength Daisuke Ikegami The Institute for Logic, Language and Computation University of Amsterdam November 17, 2006 Outline Determinacy Axioms Set-theoretic Strength Questions for Ph.D topic


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Axioms of determinacy and their set-theoretic strength

Daisuke Ikegami

The Institute for Logic, Language and Computation University of Amsterdam

November 17, 2006

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Outline

Determinacy Axioms Set-theoretic Strength Questions for Ph.D topic

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SLIDE 3

Outline

Determinacy Axioms Set-theoretic Strength Questions for Ph.D topic

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Infinite games

  • 1. Infinite games with perfect information

I Axiom of regular (Gale-Stewart) determinacy (AD):

For any A ⊆ ωω, Gω(A) is determined.

  • 2. Infinite games with imperfect information

I Axiom of Blackwell determinacy (Bl-AD):

For any A ⊆ ωω, Bω(A) is determined.

Remark

I AD implies Bl-AD. I The converse is unknown (Martin’s Conjecture). I Con(AD) ⇐

⇒ Con(Bl-AD).

I We can prove some consequences of AD from Bl-AD.

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SLIDE 5

Infinite games

  • 1. Infinite games with perfect information

I Axiom of regular (Gale-Stewart) determinacy (AD):

For any A ⊆ ωω, Gω(A) is determined.

  • 2. Infinite games with imperfect information

I Axiom of Blackwell determinacy (Bl-AD):

For any A ⊆ ωω, Bω(A) is determined.

Remark

I AD implies Bl-AD. I The converse is unknown (Martin’s Conjecture). I Con(AD) ⇐

⇒ Con(Bl-AD).

I We can prove some consequences of AD from Bl-AD.

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SLIDE 6

Infinite games

  • 1. Infinite games with perfect information

I Axiom of regular (Gale-Stewart) determinacy (AD):

For any A ⊆ ωω, Gω(A) is determined.

  • 2. Infinite games with imperfect information

I Axiom of Blackwell determinacy (Bl-AD):

For any A ⊆ ωω, Bω(A) is determined.

Remark

I AD implies Bl-AD. I The converse is unknown (Martin’s Conjecture). I Con(AD) ⇐

⇒ Con(Bl-AD).

I We can prove some consequences of AD from Bl-AD.

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SLIDE 7

Infinite games

  • 1. Infinite games with perfect information

I Axiom of regular (Gale-Stewart) determinacy (AD):

For any A ⊆ ωω, Gω(A) is determined.

  • 2. Infinite games with imperfect information

I Axiom of Blackwell determinacy (Bl-AD):

For any A ⊆ ωω, Bω(A) is determined.

Remark

I AD implies Bl-AD. I The converse is unknown (Martin’s Conjecture). I Con(AD) ⇐

⇒ Con(Bl-AD).

I We can prove some consequences of AD from Bl-AD.

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SLIDE 8

Infinite games

  • 1. Infinite games with perfect information

I Axiom of regular (Gale-Stewart) determinacy (AD):

For any A ⊆ ωω, Gω(A) is determined.

  • 2. Infinite games with imperfect information

I Axiom of Blackwell determinacy (Bl-AD):

For any A ⊆ ωω, Bω(A) is determined.

Remark

I AD implies Bl-AD. I The converse is unknown (Martin’s Conjecture). I Con(AD) ⇐

⇒ Con(Bl-AD).

I We can prove some consequences of AD from Bl-AD.

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SLIDE 9

Infinite games

  • 1. Infinite games with perfect information

I Axiom of regular (Gale-Stewart) determinacy (AD):

For any A ⊆ ωω, Gω(A) is determined.

  • 2. Infinite games with imperfect information

I Axiom of Blackwell determinacy (Bl-AD):

For any A ⊆ ωω, Bω(A) is determined.

Remark

I AD implies Bl-AD. I The converse is unknown (Martin’s Conjecture). I Con(AD) ⇐

⇒ Con(Bl-AD).

I We can prove some consequences of AD from Bl-AD.

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SLIDE 10

Determinacy vs Axiom of Choice

I AD, Bl-AD are inconsistent with AC. I AD, Bl-AD imply many interesting statements contradicting

with AC.

I Many restricted versions of AD, Bl-AD are consistent with

AC (e.g. Projective determinacy).

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SLIDE 11

Determinacy vs Axiom of Choice

I AD, Bl-AD are inconsistent with AC. I AD, Bl-AD imply many interesting statements contradicting

with AC.

I Many restricted versions of AD, Bl-AD are consistent with

AC (e.g. Projective determinacy).

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SLIDE 12

Determinacy vs Axiom of Choice

I AD, Bl-AD are inconsistent with AC. I AD, Bl-AD imply many interesting statements contradicting

with AC.

I Many restricted versions of AD, Bl-AD are consistent with

AC (e.g. Projective determinacy).

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Outline

Determinacy Axioms Set-theoretic Strength Questions for Ph.D topic

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SLIDE 14

Consistency strength

I Many mathematical questions are undetermined in ZF or

ZFC.

I We need additional axioms to resolve them. I How do we compare them? ⇒ via “consistency strength”

S, T: theories

I If Con(S) ⇒ Con(T), then S ≥ T. I If Con(S) ⇒ Con(T) and we cannot derive Con(T) ⇒

Con(S), then S > T. Is there any standard measure for consistency strength? ⇒ Large Cardinals.

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SLIDE 15

Consistency strength

I Many mathematical questions are undetermined in ZF or

ZFC.

I We need additional axioms to resolve them. I How do we compare them? ⇒ via “consistency strength”

S, T: theories

I If Con(S) ⇒ Con(T), then S ≥ T. I If Con(S) ⇒ Con(T) and we cannot derive Con(T) ⇒

Con(S), then S > T. Is there any standard measure for consistency strength? ⇒ Large Cardinals.

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SLIDE 16

Consistency strength

I Many mathematical questions are undetermined in ZF or

ZFC.

I We need additional axioms to resolve them. I How do we compare them? ⇒ via “consistency strength”

S, T: theories

I If Con(S) ⇒ Con(T), then S ≥ T. I If Con(S) ⇒ Con(T) and we cannot derive Con(T) ⇒

Con(S), then S > T. Is there any standard measure for consistency strength? ⇒ Large Cardinals.

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SLIDE 17

Consistency strength

I Many mathematical questions are undetermined in ZF or

ZFC.

I We need additional axioms to resolve them. I How do we compare them? ⇒ via “consistency strength”

S, T: theories

I If Con(S) ⇒ Con(T), then S ≥ T. I If Con(S) ⇒ Con(T) and we cannot derive Con(T) ⇒

Con(S), then S > T. Is there any standard measure for consistency strength? ⇒ Large Cardinals.

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SLIDE 18

Consistency strength

I Many mathematical questions are undetermined in ZF or

ZFC.

I We need additional axioms to resolve them. I How do we compare them? ⇒ via “consistency strength”

S, T: theories

I If Con(S) ⇒ Con(T), then S ≥ T. I If Con(S) ⇒ Con(T) and we cannot derive Con(T) ⇒

Con(S), then S > T. Is there any standard measure for consistency strength? ⇒ Large Cardinals.

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SLIDE 19

Consistency strength

I Many mathematical questions are undetermined in ZF or

ZFC.

I We need additional axioms to resolve them. I How do we compare them? ⇒ via “consistency strength”

S, T: theories

I If Con(S) ⇒ Con(T), then S ≥ T. I If Con(S) ⇒ Con(T) and we cannot derive Con(T) ⇒

Con(S), then S > T. Is there any standard measure for consistency strength? ⇒ Large Cardinals.

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SLIDE 20

Consistency strength

I Many mathematical questions are undetermined in ZF or

ZFC.

I We need additional axioms to resolve them. I How do we compare them? ⇒ via “consistency strength”

S, T: theories

I If Con(S) ⇒ Con(T), then S ≥ T. I If Con(S) ⇒ Con(T) and we cannot derive Con(T) ⇒

Con(S), then S > T. Is there any standard measure for consistency strength? ⇒ Large Cardinals.

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SLIDE 21

What are Large Cardinals?

I Uncountable cardinals. I Generalizations of ω: some transcendental properties for

smaller cardinals.

Example

I Inaccessible cardinals:

I κ is inaccessible if κ is regular and (∀λ < κ) 2λ < κ.

I Weakly compact cardinals:

I κ is weakly compact if the compactness theorem holds for

Lκ,κ in a weak sense.

I Strongly compact cardinals:

I κ is strongly compact if the compactness theorem holds for

Lκ,κ in a strong sense.

I Measurable cardinals:

I κ is measurable if there is a non-principal κ-complete

ultrafilter on κ.

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SLIDE 22

What are Large Cardinals?

I Uncountable cardinals. I Generalizations of ω: some transcendental properties for

smaller cardinals.

Example

I Inaccessible cardinals:

I κ is inaccessible if κ is regular and (∀λ < κ) 2λ < κ.

I Weakly compact cardinals:

I κ is weakly compact if the compactness theorem holds for

Lκ,κ in a weak sense.

I Strongly compact cardinals:

I κ is strongly compact if the compactness theorem holds for

Lκ,κ in a strong sense.

I Measurable cardinals:

I κ is measurable if there is a non-principal κ-complete

ultrafilter on κ.

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SLIDE 23

What are Large Cardinals?

I Uncountable cardinals. I Generalizations of ω: some transcendental properties for

smaller cardinals.

Example

I Inaccessible cardinals:

I κ is inaccessible if κ is regular and (∀λ < κ) 2λ < κ.

I Weakly compact cardinals:

I κ is weakly compact if the compactness theorem holds for

Lκ,κ in a weak sense.

I Strongly compact cardinals:

I κ is strongly compact if the compactness theorem holds for

Lκ,κ in a strong sense.

I Measurable cardinals:

I κ is measurable if there is a non-principal κ-complete

ultrafilter on κ.

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SLIDE 24

What are Large Cardinals?

I Uncountable cardinals. I Generalizations of ω: some transcendental properties for

smaller cardinals.

Example

I Inaccessible cardinals:

I κ is inaccessible if κ is regular and (∀λ < κ) 2λ < κ.

I Weakly compact cardinals:

I κ is weakly compact if the compactness theorem holds for

Lκ,κ in a weak sense.

I Strongly compact cardinals:

I κ is strongly compact if the compactness theorem holds for

Lκ,κ in a strong sense.

I Measurable cardinals:

I κ is measurable if there is a non-principal κ-complete

ultrafilter on κ.

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SLIDE 25

What are Large Cardinals?

I Uncountable cardinals. I Generalizations of ω: some transcendental properties for

smaller cardinals.

Example

I Inaccessible cardinals:

I κ is inaccessible if κ is regular and (∀λ < κ) 2λ < κ.

I Weakly compact cardinals:

I κ is weakly compact if the compactness theorem holds for

Lκ,κ in a weak sense.

I Strongly compact cardinals:

I κ is strongly compact if the compactness theorem holds for

Lκ,κ in a strong sense.

I Measurable cardinals:

I κ is measurable if there is a non-principal κ-complete

ultrafilter on κ.

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SLIDE 26

What are Large Cardinals?

I Uncountable cardinals. I Generalizations of ω: some transcendental properties for

smaller cardinals.

Example

I Inaccessible cardinals:

I κ is inaccessible if κ is regular and (∀λ < κ) 2λ < κ.

I Weakly compact cardinals:

I κ is weakly compact if the compactness theorem holds for

Lκ,κ in a weak sense.

I Strongly compact cardinals:

I κ is strongly compact if the compactness theorem holds for

Lκ,κ in a strong sense.

I Measurable cardinals:

I κ is measurable if there is a non-principal κ-complete

ultrafilter on κ.

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SLIDE 27

What are Large Cardinals?

I Uncountable cardinals. I Generalizations of ω: some transcendental properties for

smaller cardinals.

Example

I Inaccessible cardinals:

I κ is inaccessible if κ is regular and (∀λ < κ) 2λ < κ.

I Weakly compact cardinals:

I κ is weakly compact if the compactness theorem holds for

Lκ,κ in a weak sense.

I Strongly compact cardinals:

I κ is strongly compact if the compactness theorem holds for

Lκ,κ in a strong sense.

I Measurable cardinals:

I κ is measurable if there is a non-principal κ-complete

ultrafilter on κ.

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What is good in Large Cardinals?

  • 1. Large enough: we can resolve many mathematical

questions undetermined in ZFC.

  • 2. Almost all large cardinals are linearly ordered via

consistency strength.

  • 3. Many mathematical statements are consistent or

equiconsistent with some large cardinals. ⇒Large cardinals are a standard measure via consistency strength.

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SLIDE 29

What is good in Large Cardinals?

  • 1. Large enough: we can resolve many mathematical

questions undetermined in ZFC.

  • 2. Almost all large cardinals are linearly ordered via

consistency strength.

  • 3. Many mathematical statements are consistent or

equiconsistent with some large cardinals. ⇒Large cardinals are a standard measure via consistency strength.

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SLIDE 30

What is good in Large Cardinals?

  • 1. Large enough: we can resolve many mathematical

questions undetermined in ZFC.

  • 2. Almost all large cardinals are linearly ordered via

consistency strength.

  • 3. Many mathematical statements are consistent or

equiconsistent with some large cardinals. ⇒Large cardinals are a standard measure via consistency strength.

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SLIDE 31

What is good in Large Cardinals?

  • 1. Large enough: we can resolve many mathematical

questions undetermined in ZFC.

  • 2. Almost all large cardinals are linearly ordered via

consistency strength.

  • 3. Many mathematical statements are consistent or

equiconsistent with some large cardinals. ⇒Large cardinals are a standard measure via consistency strength.

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SLIDE 32

What is good in Large Cardinals?

  • 1. Large enough: we can resolve many mathematical

questions undetermined in ZFC.

  • 2. Almost all large cardinals are linearly ordered via

consistency strength.

  • 3. Many mathematical statements are consistent or

equiconsistent with some large cardinals. ⇒Large cardinals are a standard measure via consistency strength.

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SLIDE 33

Determinacy and Large Cardinals

Theorem (Woodin et al.)

  • 1. The following are equiconsistent:

I ZF + AD. I ZFC + “There are infinitary many Woodin cardinals.”

  • 2. The following are equiconsistent:

I ZFC + ∆1

2-determinacy.

I ZFC + “There is a Woodin cardinal.”

  • 3. The following are logically equivalent.

I ZFC + Π1

1-determinacy.

I ZFC + “0♯ exists.”

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SLIDE 34

Determinacy and Large Cardinals

Theorem (Woodin et al.)

  • 1. The following are equiconsistent:

I ZF + AD. I ZFC + “There are infinitary many Woodin cardinals.”

  • 2. The following are equiconsistent:

I ZFC + ∆1

2-determinacy.

I ZFC + “There is a Woodin cardinal.”

  • 3. The following are logically equivalent.

I ZFC + Π1

1-determinacy.

I ZFC + “0♯ exists.”

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SLIDE 35

Determinacy and Large Cardinals

Theorem (Woodin et al.)

  • 1. The following are equiconsistent:

I ZF + AD. I ZFC + “There are infinitary many Woodin cardinals.”

  • 2. The following are equiconsistent:

I ZFC + ∆1

2-determinacy.

I ZFC + “There is a Woodin cardinal.”

  • 3. The following are logically equivalent.

I ZFC + Π1

1-determinacy.

I ZFC + “0♯ exists.”

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SLIDE 36

Determinacy and Large Cardinals

Theorem (Woodin et al.)

  • 1. The following are equiconsistent:

I ZF + AD. I ZFC + “There are infinitary many Woodin cardinals.”

  • 2. The following are equiconsistent:

I ZFC + ∆1

2-determinacy.

I ZFC + “There is a Woodin cardinal.”

  • 3. The following are logically equivalent.

I ZFC + Π1

1-determinacy.

I ZFC + “0♯ exists.”

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SLIDE 37

Outline

Determinacy Axioms Set-theoretic Strength Questions for Ph.D topic

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SLIDE 38

Interesting Questions

  • 1. Develop Blackwell Determinacy Theory.

I Does Bl-AD imply that every set of reals has the Baire

property?

I Does Bl-AD imply Moschovakis Coding Lemma?

  • 2. Consistency strength of Higher Blackwell Determinacy.

I Consistency strength of Bl-ADR.

  • cf. We only know that Con(Bl-ADR) > Con(AD).

I Consistency strength of Bl-ADR + “Θ is regular”.

  • cf. Con(ADR + “Θ is regular.”) > Con(ADR)
  • 3. Find a pointclass Γ such that

Con(Γ-determinacy) ⇐ ⇒ Con(“0¶ exists.”)

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SLIDE 39

Interesting Questions

  • 1. Develop Blackwell Determinacy Theory.

I Does Bl-AD imply that every set of reals has the Baire

property?

I Does Bl-AD imply Moschovakis Coding Lemma?

  • 2. Consistency strength of Higher Blackwell Determinacy.

I Consistency strength of Bl-ADR.

  • cf. We only know that Con(Bl-ADR) > Con(AD).

I Consistency strength of Bl-ADR + “Θ is regular”.

  • cf. Con(ADR + “Θ is regular.”) > Con(ADR)
  • 3. Find a pointclass Γ such that

Con(Γ-determinacy) ⇐ ⇒ Con(“0¶ exists.”)

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SLIDE 40

Interesting Questions

  • 1. Develop Blackwell Determinacy Theory.

I Does Bl-AD imply that every set of reals has the Baire

property?

I Does Bl-AD imply Moschovakis Coding Lemma?

  • 2. Consistency strength of Higher Blackwell Determinacy.

I Consistency strength of Bl-ADR.

  • cf. We only know that Con(Bl-ADR) > Con(AD).

I Consistency strength of Bl-ADR + “Θ is regular”.

  • cf. Con(ADR + “Θ is regular.”) > Con(ADR)
  • 3. Find a pointclass Γ such that

Con(Γ-determinacy) ⇐ ⇒ Con(“0¶ exists.”)

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SLIDE 41

Interesting Questions

  • 1. Develop Blackwell Determinacy Theory.

I Does Bl-AD imply that every set of reals has the Baire

property?

I Does Bl-AD imply Moschovakis Coding Lemma?

  • 2. Consistency strength of Higher Blackwell Determinacy.

I Consistency strength of Bl-ADR.

  • cf. We only know that Con(Bl-ADR) > Con(AD).

I Consistency strength of Bl-ADR + “Θ is regular”.

  • cf. Con(ADR + “Θ is regular.”) > Con(ADR)
  • 3. Find a pointclass Γ such that

Con(Γ-determinacy) ⇐ ⇒ Con(“0¶ exists.”)

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SLIDE 42

Thank you!