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The boundary of determinacy within second order arithmetic. Antonio Montalb an. U. of Chicago (with Richard A. Shore) Berkeley, CA, March 2011 Special session in honor of Leo Harrington. Antonio Montalb an. U. of Chicago The boundary


  1. The boundary of determinacy within second order arithmetic. Antonio Montalb´ an. U. of Chicago (with Richard A. Shore) Berkeley, CA, March 2011 Special session in honor of Leo Harrington. Antonio Montalb´ an. U. of Chicago The boundary of determinacy within second order arithmetic.

  2. The Question How much determinacy can be proved without using uncountable objects? Antonio Montalb´ an. U. of Chicago The boundary of determinacy within second order arithmetic.

  3. Determinacy Fix a set A ⊆ ω ω . Player I a 0 a 2 · · · let ¯ a = ( a 0 , a 1 , a 2 , a 3 , ... ) · · · Player II a 1 a 3 a ∈ ω ω \ A . Player I wins is ¯ a ∈ A , and Player II wins if ¯ A strategy is a function s : ω <ω → ω . It’s a winning strategy for I if ∀ a 1 , a 3 , a 5 , .... ( f ( ∅ ) , a 1 , f ( a 1 ) , a 3 , ... ) ∈ A A ⊆ ω ω is determined if there is a strategy for either player I or II. For a class of sets of reals Γ ⊆ P ( ω ω ), let Γ-DET: Every A ∈ Γ is determined. Antonio Montalb´ an. U. of Chicago The boundary of determinacy within second order arithmetic.

  4. History Γ Γ-DET remark Open (Σ 0 1 ) [Gale Stwart 53] G δ (Π 0 2 ) [Wolfe 55] F σδ (Π 0 3 ) [Davis 64] G δσδ (Π 0 4 ) [Paris 72] F σδσδ (Π 0 5 ) needs Power-set axiom [Friedman 71] Borel (∆ 1 1 ) [Martin 75] needs ℵ 1 iterations of Power-set axiom [Friedman 71] Analitic (Σ 1 ∀ x ( x ♯ exists) ⊢ .. 1 ) Martin’s bound is sharp [Harrington 1978] [Martin 70] Full ( ω ω ) False in ZFC [Gale Stwart 53] Antonio Montalb´ an. U. of Chicago The boundary of determinacy within second order arithmetic.

  5. Harrington’s result Sharps: We define the statement: “x ♯ exists” as “In L ( x ), there is an ω 1 -list of indiscernibles.” x ♯ is the the ω -type of this list. Thm: [Kunen] [Jensen] (ZFC) The following are equivalent: 1 0 ♯ exists. 2 There is a proper embedding of L into L . 3 There is an uncountable X ⊆ ON such that ∀ Y Y ⊇ X & | Y | = | X | = ⇒ Y �∈ L . Theorem ( [Harrington 78] ) 1 -DET is equivalent to “ ∀ x ( x ♯ exists)”. Σ 1 Antonio Montalb´ an. U. of Chicago The boundary of determinacy within second order arithmetic.

  6. Countable mathematics Second order arithmetic Z 2 (a.k.a. analysis) consist of ordered semi-ring axioms for N induction for all 2 nd -order formulas comprehension for all 2 nd -order formulas Most of classical mathematics can be expressed and proved in Z 2 . Thm: ZFC − is Σ 1 4 -conservative over Z 2 , where ZFC − is ZFC without the Power-set axiom. (Obs: Borel-DET and Π 0 k -DET are Π 1 3 -statements.) Antonio Montalb´ an. U. of Chicago The boundary of determinacy within second order arithmetic.

  7. Determinacy without countable objects Thm: [Friedman 71, Martin] Z 2 � ⊢ Π 0 4 -DET. Theorem (essentially due to Martin) Given n ∈ N , Z 2 (and also ZFC − ) can prove that every Boolean combination of n Π 0 3 sets is determined where F σδ = Π 0 3 = intersection of unions of closed sets But.... The larger the n , the more axioms are needed. Theorem (MS) Z 2 (and also ZFC − ) cannot prove that every Boolean combination of Π 0 3 sets is determined Antonio Montalb´ an. U. of Chicago The boundary of determinacy within second order arithmetic.

  8. Reverse Mathematics in a nutshell The main question of Reverse Mathematics is: What axioms of Z 2 are necessary for classical mathematics? Using a base theory as RCA 0 , one can often prove that theorems are equivalent to axioms. Most theorems are equivalent to one of 5 subsystems. Most theorems of classical mathematics can be proved in Π 1 1 -CA 0 . where in Π 1 1 -CA 0 , induction and comprehension are restricted to Π 1 1 -formulas. No example of a classical theorem of Z 2 needed more than Π 1 3 -CA 0 . We provide a hierarchy of natural statements that need axioms all the way up in Z 2 . Antonio Montalb´ an. U. of Chicago The boundary of determinacy within second order arithmetic.

  9. Strength of Determinacy in Second order arithmetic Γ strength of Γ-DET base ∆ 0 ATR 0 [Steel 78] RCA 0 1 Σ 0 ATR 0 [Steel 78] RCA 0 1 Π 1 Σ 0 1 ∧ Π 0 1 -CA 0 [Tanaka 90] RCA 0 1 ∆ 0 Π 1 1 -TR 0 [Tanaka 91] RCA 0 2 Π 0 Σ 1 1 -ID 0 [Tanaka 91] ATR 0 2 ∆ 0 [Σ 1 1 ] TR -ID 0 Π 1 [MedSalem, Tanaka 08] 1 -TI 0 3 Π 0 Π 1 ∆ 1 3 -CA 0 ⊢ .. 3 -CA 0 � ⊢ .. [Welch 09] 3 Π 0 Z 2 �⊢ .. [Martin] [Friedman 71] 4 Antonio Montalb´ an. U. of Chicago The boundary of determinacy within second order arithmetic.

  10. Difference hierarchy Def: A ⊆ ω ω is m- Π 0 3 if there are Π 0 3 sets A 0 ⊇ A 1 ⊇ ... ⊇ A m = ∅ A = ( ... ((( A 0 \ A 1 ) ∪ A 2 ) \ A 3 ) ∪ ... ) s.t.: i.e. x ∈ A ⇐ ⇒ (least i ( x �∈ A i )) is odd. � Obs: (Boolean combinations of Π 0 m - Π 0 3 ) = 3 . m ∈ ω The difference hierarchy extends through the transfinite. Thm : [Kuratowski 58] ∆ 0 � α - Π 0 4 = 3 . α ∈ ω 1 Antonio Montalb´ an. U. of Chicago The boundary of determinacy within second order arithmetic.

  11. A closer look at our main theorem Recall: Π 1 n -CA 0 is Z 2 with induction and comprehension restricted to Π 1 n formulas. ∆ 1 n -CA 0 is Z 2 with induction and comprehension restricted to ∆ 1 n sets. Theorem (MS, following Martin’s proof) Π 1 n +2 -CA 0 ⊢ n- Π 0 3 − DET. Theorem (MS) ∆ 1 n +2 -CA 0 �⊢ n- Π 0 3 − DET. [Welch 09] had already proved the cases n = 1. � Π 1 n ∆ 1 Since Z 2 = n -CA 0 = � n -CA 0 : n Corollary: For each n , Z 2 ⊢ n - Π 0 3 − DET , but Z 2 � ⊢ ∀ n ( n - Π 0 3 − DET ). Antonio Montalb´ an. U. of Chicago The boundary of determinacy within second order arithmetic.

  12. Reversals Theorem (MS) Reversals aren’t possible: for each n ∆ 1 ∆ 1 n +2 -CA 0 + n- Π 0 Π 1 n +2 -CA 0 3 -DET n +2 -CA 0 � � Thm: [MedSalem, Tanaka 07] Π 1 1 -CA 0 + Borel-DET �⇒ ∆ 1 2 -CA 0 . Theorem (MS) Let T be a true Σ 1 4 sentence. Then, for n ≥ 2 , ∆ 1 n -CA 0 + T � ⊢ Π 1 n -CA 0 Π 1 n -CA 0 + T � ⊢ ∆ 1 n +1 -CA 0 (even for β -models) This also holds if T is a Σ 1 n +2 theorem of ZFC. Obs: Borel-DET and m - Π 0 3 − DET are Π 1 3 theorems of ZFC. Antonio Montalb´ an. U. of Chicago The boundary of determinacy within second order arithmetic.

  13. The techniques Def: α is n-admissible if there is no unbounded, Σ n -over- L α -definable function f : δ → α , with δ < α . ⇒ 2 ω ∩ L α | = ∆ 1 α is n -admissible = n +1 -CA 0 (for n ≥ 2) . Let α n be the least n -admissible ordinal. Let Th n =Theory of L α n . Th n �∈ L α n using G¨ odel-Tarski undefinability of truth. Lemma (MS) For n ≥ 2 , there is a ( n- 1) - Π 0 3 game where each player plays a set of sentences, and 1 if I plays Th n , he wins. 2 if I does not play Th n but II does, then II wins. A winning strategy for this game must compute Th n . Hence 2 ω ∩ L α n | = ∆ 1 n +1 -CA 0 & ¬ ( n − 1) - Π 0 3 − DET Antonio Montalb´ an. U. of Chicago The boundary of determinacy within second order arithmetic.

  14. Ideas in the proof. Each player has to play a complete, consistent set of formulas including ZF+ V = L α n . We consider the term models of these theories: M and N. M = L α n L α n is the only well-founded model of ZF+ V = L α n . Using differences of Π 0 3 formulas we need to N identify the player playing a well-founded model. L α − A Let L α = N ∩ M . We find a Π 0 3 condition C k and a property P k s.t.: If is α is k -admissible and P k holds , then If C k , we find a descending sequence in N. If ¬ C k , then α is k + 1-admissible and P k +1 Antonio Montalb´ an. U. of Chicago The boundary of determinacy within second order arithmetic.

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