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Add lean source and binary files (part 62)
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import OAI.Computability.PerfectCompleteness.Foundations.OddLists
import OAI.Computability.PerfectCompleteness.Foundations.RecursiveSpaceEquivLemmas
import OAI.Computability.PerfectCompleteness.Repetition.RepetitionRateLemmas
import OAI.Computability.PerfectCompleteness.Sampling.FiniteListSampling
namespace OAI
section
namespace PerfectCompleteness.OddListGame
open scoped BigOperators
open UniqueGamesTheorem.Foundations.Games
open OddLists FiniteListSampling
noncomputable section
variable {E Q₁ Q₂ A₁ A₂ : Type*}
[Fintype E] [Fintype Q₁] [Fintype Q₂] [Fintype A₁] [Fintype A₂]
[DecidableEq Q₁] [DecidableEq Q₂] [DecidableEq A₁] [DecidableEq A₂]
def base (μ : FiniteDistribution E) (left : E → Q₁) (right : E → Q₂)
(projection : E → A₁ → A₂) : OccurrenceGame E Q₁ Q₂ A₁ A₂ :=
OccurrenceGame.ofProjection μ left right projection
def game (s : Nat) (μ : FiniteDistribution E) (left : E → Q₁) (right : E → Q₂)
(projection : E → A₁ → A₂) :
OccurrenceGame E Q₁ Q₂ (OddList s A₁) (OddList s A₂) :=
OccurrenceGame.ofProjection μ left right (fun e => OddList.map (projection e))
def responses {Q A : Type*} [Fintype A] [DecidableEq A] {s : Nat}
(lists : Q → OddList s A) (q : Q) : FiniteDistribution A :=
uniformList (lists q).val (lists q).nonempty
omit [DecidableEq Q₁] [DecidableEq Q₂] [DecidableEq A₁] in
theorem accepted_pair {s : Nat} (μ : FiniteDistribution E)
(left : E → Q₁) (right : E → Q₂) (projection : E → A₁ → A₂)
(strategy : Strategy Q₁ Q₂ (OddList s A₁) (OddList s A₂)) (e : E)
(accepted : (game s μ left right projection).wins strategy e = true) :
∃ a ∈ (strategy.1 (left e)).val, ∃ b ∈ (strategy.2 (right e)).val,
(base μ left right projection).accepts e a b = true := by
have hmap : OddList.map (projection e) (strategy.1 (left e)) = strategy.2 (right e) := by
simpa only [game, OccurrenceGame.wins, OccurrenceGame.ofProjection, decide_eq_true_eq]
using accepted
obtain ⟨a, ha, b, hb, hab⟩ := OddList.exists_accepting_pair_of_eq
(projection e) (strategy.1 (left e)) (strategy.2 (right e)) hmap
exact ⟨a, ha, b, hb, by simpa [base, OccurrenceGame.ofProjection] using hab⟩
omit [DecidableEq Q₁] [DecidableEq Q₂] in
theorem success_le_randomized {s : Nat} [NeZero s] (μ : FiniteDistribution E)
(left : E → Q₁) (right : E → Q₂) (projection : E → A₁ → A₂)
(strategy : Strategy Q₁ Q₂ (OddList s A₁) (OddList s A₂)) :
(game s μ left right projection).success strategy ≤
(s : ℝ) ^ 2 * (base μ left right projection).stochasticSuccess
(responses strategy.1) (responses strategy.2) := by
let G := base μ left right projection
let pair := fun e => pairAcceptance (responses strategy.1 (left e))
(responses strategy.2 (right e)) (G.accepts e)
have hs : 0 < (s : ℝ) ^ 2 := pow_pos (Nat.cast_pos.mpr (Nat.pos_of_neZero s)) 2
have hpoint (e : E) :
(if (game s μ left right projection).wins strategy e then (1 : ℝ) else 0) ≤
(s : ℝ) ^ 2 * pair e := by
by_cases hwin : (game s μ left right projection).wins strategy e = true
· simp only [hwin, ite_true]
have h := bounded_uniform_pair_lower
(strategy.1 (left e)).val (strategy.2 (right e)).val
(strategy.1 (left e)).nonempty (strategy.2 (right e)).nonempty s
(strategy.1 (left e)).card_le (strategy.2 (right e)).card_le (G.accepts e)
(accepted_pair μ left right projection strategy e hwin)
have hscaled := (div_le_iff₀ hs).mp h
change 1 ≤ (s : ℝ) ^ 2 *
pairAcceptance (uniformList (strategy.1 (left e)).val (strategy.1 (left e)).nonempty)
(uniformList (strategy.2 (right e)).val (strategy.2 (right e)).nonempty) (G.accepts e)
exact hscaled.trans_eq (mul_comm _ _)
· simp only [hwin]
exact mul_nonneg (sq_nonneg _) (pairAcceptance_nonnegative _ _ _)
have hpair : μ.expectation pair = G.stochasticSuccess
(responses strategy.1) (responses strategy.2) := by
unfold OccurrenceGame.stochasticSuccess
apply FiniteDistribution.expectation_congr
intro e
exact pairAcceptance_eq_expectation _ _ _
calc
_ = μ.expectation
(fun e => if (game s μ left right projection).wins strategy e then 1 else 0) :=
(game s μ left right projection).success_eq_occurrence_expectation strategy
_ ≤ μ.expectation (fun e => (s : ℝ) ^ 2 * pair e) :=
SmallBias.expectation_mono μ hpoint
_ = (s : ℝ) ^ 2 * μ.expectation pair := by
simp only [FiniteDistribution.expectation, Finset.mul_sum]
apply Finset.sum_congr rfl
intro e _
ring
_ = _ := by rw [hpair]
theorem value_le {s : Nat} [NeZero s] [Nonempty A₁] [Nonempty A₂]
(μ : FiniteDistribution E) (left : E → Q₁) (right : E → Q₂)
(projection : E → A₁ → A₂) :
(game s μ left right projection).value ≤
(s : ℝ) ^ 2 * (base μ left right projection).value := by
apply ((game s μ left right projection).value_le_iff _).mpr
intro strategy
exact (success_le_randomized μ left right projection strategy).trans
(mul_le_mul_of_nonneg_left
((base μ left right projection).stochasticSuccess_le_value
(responses strategy.1) (responses strategy.2)) (sq_nonneg _))
omit [DecidableEq Q₁] [DecidableEq Q₂] [DecidableEq A₁] in
theorem endpointDetermined {s : Nat} (μ : FiniteDistribution E)
(left : E → Q₁) (right : E → Q₂) (projection : E → A₁ → A₂)
(determined : (base μ left right projection).EndpointDetermined) :
(game s μ left right projection).EndpointDetermined := by
intro e e' hl hr L R
have hprojection : projection e = projection e' := by
funext a
have h := determined e e' hl hr a (projection e a)
have htrue : (base μ left right projection).accepts e' a (projection e a) = true := by
rw [← h]
simp [base, OccurrenceGame.ofProjection]
have heq : projection e' a = projection e a := by
simpa only [base, OccurrenceGame.ofProjection, decide_eq_true_eq] using htrue
exact heq.symm
simp only [game, OccurrenceGame.ofProjection, hprojection]
by_cases h : OddList.map (projection e') L = R <;> simp only [h, decide_true, decide_false]
theorem repetition_halfRate {s L : Nat} [NeZero s] [Nonempty A₁] [Nonempty A₂]
(μ : FiniteDistribution E) (left : E → Q₁) (right : E → Q₂)
(projection : E → A₁ → A₂)
(determined : (base μ left right projection).EndpointDetermined)
(gap : (s : ℝ) ^ 2 * (base μ left right projection).value ≤ 1 / 2)
(hL : 0 < L)
(alphabet : UniqueGamesTheorem.Foundations.Repetition.logTwo
((Fintype.card (OddList s A₁) : ℝ) * (Fintype.card (OddList s A₂) : ℝ)) ≤ L)
(n : Nat) :
((game s μ left right projection).repetition n).value ≤
(RepetitionRate.halfRate L : ℝ) ^ n := by
exact RepetitionRate.occurrence_repetition_halfRate (game s μ left right projection)
((game s μ left right projection).presentationOfDetermined
(endpointDetermined μ left right projection determined)) hL alphabet
((value_le μ left right projection).trans gap) n
end
end PerfectCompleteness.OddListGame
end
end OAI