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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 | |