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Add lean source and binary files (part 61)
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import Mathlib
import OAI.Computability.MinUncut.PCP.Walsh
namespace OAI
section
noncomputable section
namespace MinUncutGames.Foundations.Hastad
open scoped BigOperators
open Finset
variable {I J : Type*} [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J]
def support (s : Cube I) : Finset I := Finset.univ.filter fun i => s i = true
def noiseWeight (ε : ℝ) (μ : Cube I) : ℝ :=
∏ i, if μ i then ε else 1 - ε
omit [DecidableEq I] in
theorem noiseWeight_nonneg {ε : ℝ} (hε : 0 ≤ ε) (hε' : ε ≤ 1) (μ : Cube I) :
0 ≤ noiseWeight ε μ := by
apply Finset.prod_nonneg
intro i _
split <;> linarith
theorem noiseWeight_sum (ε : ℝ) : (∑ μ : Cube I, noiseWeight ε μ) = 1 := by
unfold noiseWeight
rw [← Fintype.prod_sum (fun (_ : I) (b : Bool) => if b then ε else 1 - ε)]
simp
theorem noise_walsh (ε : ℝ) (s : Cube I) :
(∑ μ, noiseWeight ε μ * walsh s μ) = (1 - 2 * ε) ^ (support s).card := by
unfold noiseWeight walsh
simp only [← Finset.prod_mul_distrib]
rw [← Fintype.prod_sum (fun i b =>
(if b then ε else 1 - ε) * bitSign (s i && b))]
have hc (i : I) : (∑ b : Bool,
(if b then ε else 1 - ε) * bitSign (s i && b)) =
if s i then 1 - 2 * ε else 1 := by
cases s i <;> simp [bitSign]
ring
simp_rw [hc]
simp [support, Finset.prod_ite]
def thirdQuery (π : J → I) (f : Cube I) (g μ : Cube J) : Cube J :=
cubeXor g (cubeXor (fun y => f (π y)) μ)
theorem walsh_autocorrelation (B : Cube J → ℝ) (h : Cube J) :
(𝔼 g, B g * B (cubeXor g h)) =
∑ s, coefficient B s ^ 2 * walsh s h := by
conv_lhs =>
enter [2, g, 2]
rw [← walsh_inversion B (cubeXor g h)]
simp_rw [Finset.mul_sum, walsh_xor]
rw [Finset.expect_sum_comm]
apply Finset.sum_congr rfl
intro s _
have hterm : (fun g => B g * (coefficient B s * (walsh s g * walsh s h))) =
(fun g => (coefficient B s * walsh s h) * (B g * walsh s g)) := by
funext g
ring
rw [hterm, ← Finset.mul_expect]
change (coefficient B s * walsh s h) * coefficient B s = _
ring
def projectedCoefficient (π : J → I) (A : Cube I → ℝ) (s : Cube J) : ℝ :=
𝔼 f, A f * walsh s (fun y => f (π y))
def testBias (ε : ℝ) (π : J → I) (A : Cube I → ℝ) (B : Cube J → ℝ) : ℝ :=
𝔼 f, ∑ μ, noiseWeight ε μ * A f *
(𝔼 g, B g * B (thirdQuery π f g μ))
theorem testBias_fourier (ε : ℝ) (π : J → I)
(A : Cube I → ℝ) (B : Cube J → ℝ) :
testBias ε π A B = ∑ s,
projectedCoefficient π A s * coefficient B s ^ 2 *
(1 - 2 * ε) ^ (support s).card := by
unfold testBias thirdQuery
simp_rw [walsh_autocorrelation, Finset.mul_sum]
conv_lhs =>
enter [2, f]
rw [Finset.sum_comm]
rw [Finset.expect_sum_comm]
apply Finset.sum_congr rfl
intro s _
have hterm (f : Cube I) :
(∑ μ, noiseWeight ε μ * A f *
(coefficient B s ^ 2 * walsh s (cubeXor (fun y => f (π y)) μ))) =
(A f * walsh s (fun y => f (π y))) * coefficient B s ^ 2 *
(1 - 2 * ε) ^ (support s).card := by
simp_rw [walsh_xor]
have heq (μ : Cube J) : noiseWeight ε μ * A f *
(coefficient B s ^ 2 * (walsh s (fun y => f (π y)) * walsh s μ)) =
((A f * walsh s (fun y => f (π y))) * coefficient B s ^ 2) *
(noiseWeight ε μ * walsh s μ) := by ring
simp_rw [heq]
rw [← Finset.mul_sum, noise_walsh]
simp_rw [hterm, ← Finset.expect_mul]
rfl
def testAcceptance (ε : ℝ) (π : J → I)
(A : Cube I → Bool) (B : Cube J → Bool) : ℝ :=
𝔼 f, ∑ μ, noiseWeight ε μ *
(𝔼 g, if A f ^^ B g ^^ B (thirdQuery π f g μ) then 0 else 1)
theorem threeBit_indicator (a b c : Bool) :
(if a ^^ b ^^ c then (0 : ℝ) else 1) =
(1 + bitSign a * bitSign b * bitSign c) / 2 := by
cases a <;> cases b <;> cases c <;> norm_num [bitSign]
theorem testAcceptance_eq (ε : ℝ) (π : J → I)
(A : Cube I → Bool) (B : Cube J → Bool) :
testAcceptance ε π A B =
(1 + testBias ε π (fun f => bitSign (A f)) (fun g => bitSign (B g))) / 2 := by
unfold testAcceptance testBias
simp_rw [threeBit_indicator, div_eq_mul_inv,
← Finset.expect_mul, Finset.expect_add_distrib]
simp only [Fintype.expect_const]
have hterm (f : Cube I) (μ : Cube J) :
noiseWeight ε μ * ((1 + 𝔼 g,
bitSign (A f) * bitSign (B g) * bitSign (B (thirdQuery π f g μ))) * 2⁻¹) =
(noiseWeight ε μ + noiseWeight ε μ * bitSign (A f) *
(𝔼 g, bitSign (B g) * bitSign (B (thirdQuery π f g μ)))) * 2⁻¹ := by
simp_rw [mul_assoc (bitSign (A f)), ← Finset.mul_expect]
ring
simp_rw [hterm, ← Finset.sum_mul, Finset.sum_add_distrib, noiseWeight_sum,
← Finset.expect_mul, Finset.expect_add_distrib]
simp
end MinUncutGames.Foundations.Hastad
end
end
end OAI