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Add lean source and binary files (part 62)
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import OAI.Computability.PerfectCompleteness.Decoding.TwoResponseCollisionLemmas
import OAI.Computability.PerfectCompleteness.Foundations.FiniteProduct
import OAI.Computability.UniqueGames.Foundations.KernelSampling
namespace OAI
section
namespace PerfectCompleteness.DecoderTableCoupling
open scoped BigOperators Classical
open UniqueGamesTheorem.Foundations.Games
noncomputable section
variable {Q A : Type*} [Fintype Q] [DecidableEq Q] [Fintype A]
theorem probability_eq_expectation {X : Type*} [Fintype X]
(μ : FiniteDistribution X) (event : X → Bool) :
μ.probability event = μ.expectation (fun x => if event x then 1 else 0) := by
simp only [FiniteDistribution.probability, FiniteDistribution.expectation, mul_ite,
mul_one, mul_zero]
theorem table_eq_product (responses : Q → FiniteDistribution A) :
FiniteDistribution.table responses = FiniteProduct.law responses :=
FiniteDistribution.eq_of_weight_eq (fun _ => rfl)
theorem pair_law_of_ne (responses : Q → FiniteDistribution A)
(q r : Q) (hne : q ≠ r) :
(FiniteDistribution.table responses).pushforward (fun f => (f q, f r)) =
(responses q).product (responses r) := by
apply FiniteDistribution.eq_of_weight_eq
rintro ⟨a, b⟩
calc
_ = (FiniteDistribution.table responses).expectation
(fun f => (if f q = a then 1 else 0) * (if f r = b then 1 else 0)) := by
unfold FiniteDistribution.pushforward FiniteDistribution.expectation
apply Finset.sum_congr rfl
intro f _
by_cases hq : f q = a <;> by_cases hr : f r = b <;> simp [hq, hr]
_ = (responses q).expectation (fun a' => if a' = a then 1 else 0) *
(responses r).expectation (fun b' => if b' = b then 1 else 0) := by
rw [table_eq_product]
exact FiniteProduct.expectation_eval_mul responses q r hne
(fun a' : A => if a' = a then (1 : ℝ) else 0)
(fun b' : A => if b' = b then (1 : ℝ) else 0)
_ = _ := by simp [FiniteDistribution.expectation, FiniteDistribution.product, mul_ite]
def definedEqual (a b : Option A) : Bool :=
decide (∃ value, a = some value ∧ b = some value)
omit [Fintype A] in
@[simp] theorem definedEqual_none_left (a : Option A) : definedEqual none a = false := by
simp [definedEqual]
omit [Fintype A] in
@[simp] theorem definedEqual_none_right (a : Option A) : definedEqual a none = false := by
simp [definedEqual]
omit [Fintype A] in
@[simp] theorem definedEqual_self (a : Option A) : definedEqual a a = a.isSome := by
cases a <;> simp [definedEqual]
omit [Fintype Q] [DecidableEq Q] [Fintype A] in
@[simp] theorem definedEqual_collision (f : Q → Option A) (q r : Q) :
definedEqual (f q) (f r) = TwoResponseCollision.collision f (q, r) := rfl
def freshCollision (responses : Q → FiniteDistribution (Option A)) (q r : Q) : ℝ :=
((responses q).product (responses r)).probability (fun a => definedEqual a.1 a.2)
def frozenCollision (responses : Q → FiniteDistribution (Option A)) (q r : Q) : ℝ :=
(FiniteDistribution.table responses).probability (fun f => definedEqual (f q) (f r))
theorem frozenCollision_of_ne (responses : Q → FiniteDistribution (Option A))
(q r : Q) (hne : q ≠ r) :
frozenCollision responses q r = freshCollision responses q r := by
unfold frozenCollision freshCollision
rw [← pair_law_of_ne responses q r hne, FiniteDistribution.probability_pushforward]
theorem frozenCollision_self (responses : Q → FiniteDistribution (Option A)) (q : Q) :
frozenCollision responses q q = (responses q).probability Option.isSome := by
unfold frozenCollision
simp only [definedEqual_self]
rw [← FiniteDistribution.table_eval_pushforward responses q,
FiniteDistribution.probability_pushforward]
theorem product_probability_first {X Y : Type*} [Fintype X] [Fintype Y]
(μ : FiniteDistribution X) (ν : FiniteDistribution Y) (event : X → Bool) :
(μ.product ν).probability (fun p => event p.1) = μ.probability event := by
unfold FiniteDistribution.probability
rw [Fintype.sum_prod_type]
apply Finset.sum_congr rfl
intro x _
cases he : event x <;>
simp [FiniteDistribution.product, he, ← Finset.mul_sum, ν.normalized]
omit [Fintype Q] [DecidableEq Q] in
theorem freshCollision_self_le (responses : Q → FiniteDistribution (Option A)) (q : Q) :
freshCollision responses q q ≤ (responses q).probability Option.isSome := by
unfold freshCollision
calc
_ ≤ ((responses q).product (responses q)).probability (fun a => a.1.isSome) := by
apply FiniteDistribution.probability_mono
intro a ha
obtain ⟨value, hleft, _⟩ := of_decide_eq_true ha
simp only [hleft, Option.isSome_some]
_ = _ := product_probability_first _ _ _
theorem freshCollision_le_frozenCollision
(responses : Q → FiniteDistribution (Option A)) (q r : Q) :
freshCollision responses q r ≤ frozenCollision responses q r := by
by_cases hqr : q = r
· subst r
rw [frozenCollision_self]
exact freshCollision_self_le responses q
· exact (frozenCollision_of_ne responses q r hqr).symm.le
theorem mean_freshCollision_le_frozen
(responses : Q → FiniteDistribution (Option A)) (questions : FiniteDistribution (Q × Q)) :
questions.expectation (fun p => freshCollision responses p.1 p.2) ≤
(FiniteDistribution.table responses).expectation
(fun f => questions.probability (TwoResponseCollision.collision f)) := by
calc
_ ≤ questions.expectation (fun p => frozenCollision responses p.1 p.2) := by
unfold FiniteDistribution.expectation
apply Finset.sum_le_sum
intro p _
exact mul_le_mul_of_nonneg_left (freshCollision_le_frozenCollision responses p.1 p.2)
(questions.nonnegative p)
_ = _ := by
simp only [frozenCollision, probability_eq_expectation]
exact FiniteDistribution.expectation_comm questions (FiniteDistribution.table responses)
(fun p f => if definedEqual (f p.1) (f p.2) then (1 : ℝ) else 0)
theorem freshCollision_le_of_supported_tables
(responses : Q → FiniteDistribution (Option A)) (questions : FiniteDistribution (Q × Q))
(bound : ℝ)
(hbound : ∀ f, (FiniteDistribution.table responses).weight f ≠ 0 →
questions.probability (TwoResponseCollision.collision f) ≤ bound) :
questions.expectation (fun p => freshCollision responses p.1 p.2) ≤ bound := by
apply (mean_freshCollision_le_frozen responses questions).trans
calc
_ ≤ ∑ f, (FiniteDistribution.table responses).weight f * bound := by
unfold FiniteDistribution.expectation
apply Finset.sum_le_sum
intro f _
by_cases hf : (FiniteDistribution.table responses).weight f = 0
· simp only [hf, zero_mul, le_refl]
· exact mul_le_mul_of_nonneg_left (hbound f hf)
((FiniteDistribution.table responses).nonnegative f)
_ = bound := by
rw [← Finset.sum_mul, (FiniteDistribution.table responses).normalized, one_mul]
end
end PerfectCompleteness.DecoderTableCoupling
end
end OAI