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


  1. Axioms of determinacy and their set-theoretic strength Daisuke Ikegami The Institute for Logic, Language and Computation University of Amsterdam November 17, 2006

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

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

  4. Infinite games 1. Infinite games with perfect information I Axiom of regular (Gale-Stewart) determinacy (AD) : For any A ⊆ ω ω , G ω ( A ) is determined. 2. Infinite games with imperfect information I Axiom of Blackwell determinacy (Bl-AD) : For any A ⊆ ω ω , B ω ( 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.

  5. Infinite games 1. Infinite games with perfect information I Axiom of regular (Gale-Stewart) determinacy (AD) : For any A ⊆ ω ω , G ω ( A ) is determined. 2. Infinite games with imperfect information I Axiom of Blackwell determinacy (Bl-AD) : For any A ⊆ ω ω , B ω ( 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.

  6. Infinite games 1. Infinite games with perfect information I Axiom of regular (Gale-Stewart) determinacy (AD) : For any A ⊆ ω ω , G ω ( A ) is determined. 2. Infinite games with imperfect information I Axiom of Blackwell determinacy (Bl-AD) : For any A ⊆ ω ω , B ω ( 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.

  7. Infinite games 1. Infinite games with perfect information I Axiom of regular (Gale-Stewart) determinacy (AD) : For any A ⊆ ω ω , G ω ( A ) is determined. 2. Infinite games with imperfect information I Axiom of Blackwell determinacy (Bl-AD) : For any A ⊆ ω ω , B ω ( 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.

  8. Infinite games 1. Infinite games with perfect information I Axiom of regular (Gale-Stewart) determinacy (AD) : For any A ⊆ ω ω , G ω ( A ) is determined. 2. Infinite games with imperfect information I Axiom of Blackwell determinacy (Bl-AD) : For any A ⊆ ω ω , B ω ( 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.

  9. Infinite games 1. Infinite games with perfect information I Axiom of regular (Gale-Stewart) determinacy (AD) : For any A ⊆ ω ω , G ω ( A ) is determined. 2. Infinite games with imperfect information I Axiom of Blackwell determinacy (Bl-AD) : For any A ⊆ ω ω , B ω ( 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.

  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).

  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).

  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).

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

  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.

  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.

  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.

  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.

  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.

  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.

  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.

  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 ) 2 λ < κ . I Weakly compact cardinals : I κ is weakly compact if the compactness theorem holds for L κ,κ in a weak sense. I Strongly compact cardinals : I κ is strongly compact if the compactness theorem holds for L κ,κ in a strong sense. I Measurable cardinals : I κ is measurable if there is a non-principal κ -complete ultrafilter on κ .

  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 ) 2 λ < κ . I Weakly compact cardinals : I κ is weakly compact if the compactness theorem holds for L κ,κ in a weak sense. I Strongly compact cardinals : I κ is strongly compact if the compactness theorem holds for L κ,κ in a strong sense. I Measurable cardinals : I κ is measurable if there is a non-principal κ -complete ultrafilter on κ .

  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 ) 2 λ < κ . I Weakly compact cardinals : I κ is weakly compact if the compactness theorem holds for L κ,κ in a weak sense. I Strongly compact cardinals : I κ is strongly compact if the compactness theorem holds for L κ,κ in a strong sense. I Measurable cardinals : I κ is measurable if there is a non-principal κ -complete ultrafilter on κ .

  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 ) 2 λ < κ . I Weakly compact cardinals : I κ is weakly compact if the compactness theorem holds for L κ,κ in a weak sense. I Strongly compact cardinals : I κ is strongly compact if the compactness theorem holds for L κ,κ in a strong sense. I Measurable cardinals : I κ is measurable if there is a non-principal κ -complete ultrafilter on κ .

  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 ) 2 λ < κ . I Weakly compact cardinals : I κ is weakly compact if the compactness theorem holds for L κ,κ in a weak sense. I Strongly compact cardinals : I κ is strongly compact if the compactness theorem holds for L κ,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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