import Mathlib import OAI.Computability.MaxCut.PCP.Folding namespace OAI /-! The parity projection and finite Fourier decoder used in Håstad's three-query argument. Probabilities are explicit finite sums. -/ noncomputable section namespace MaxCutGames.Foundations.Hastad open scoped BigOperators open Finset variable {I J : Type*} [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J] def parityProjection (π : J → I) (s : Cube J) : Cube I := fun i => decide (Odd ((support s).filter fun y => π y = i).card) theorem walsh_support (s x : Cube I) : walsh s x = ∏ i ∈ support s, bitSign (x i) := by unfold walsh support rw [Finset.prod_filter] apply Finset.prod_congr rfl intro i _ cases s i <;> simp [bitSign] theorem sign_power_parity (b : Bool) (n : Nat) : bitSign b ^ n = bitSign (decide (Odd n) && b) := by cases b · simp [bitSign] · simp only [Bool.and_true, bitSign, ite_true, decide_eq_true_eq] rw [neg_one_pow_eq_ite] by_cases h : Even n · simp [h, Nat.not_odd_iff_even.mpr h] · simp [h, Nat.not_even_iff_odd.mp h] theorem walsh_pullback (π : J → I) (s : Cube J) (f : Cube I) : walsh s (fun y => f (π y)) = walsh (parityProjection π s) f := by rw [walsh_support] rw [← Finset.prod_fiberwise' (support s) π (fun i => bitSign (f i))] unfold walsh parityProjection apply Finset.prod_congr rfl intro i _ simp only [Finset.prod_const] exact sign_power_parity (f i) _ theorem projectedCoefficient_eq (π : J → I) (A : Cube I → ℝ) (s : Cube J) : projectedCoefficient π A s = coefficient A (parityProjection π s) := by simp only [projectedCoefficient, coefficient, walsh_pullback] omit [DecidableEq J] in theorem projection_has_preimage (π : J → I) (s : Cube J) (i : I) (hi : i ∈ support (parityProjection π s)) : ∃ y ∈ support s, π y = i := by have hodd : Odd ((support s).filter fun y => π y = i).card := by have hbit := (Finset.mem_filter.mp hi).2 simpa only [parityProjection, decide_eq_true_eq] using hbit have hp : 0 < ((support s).filter fun y => π y = i).card := by obtain ⟨n, hn⟩ := hodd omega obtain ⟨y, hy⟩ := Finset.card_pos.mp hp exact ⟨y, (Finset.mem_filter.mp hy).1, (Finset.mem_filter.mp hy).2⟩ /-- A purely algebraic decay estimate used instead of exponential bounds. -/ theorem scaled_geometric_power_le_one {t : ℝ} (ht : 0 ≤ t) (ht' : t ≤ 1) (n : Nat) : (n : ℝ) * (1 - t) * t ^ n ≤ 1 := by have hsum : (n : ℝ) * t ^ n ≤ ∑ j ∈ Finset.range n, t ^ j := by calc (n : ℝ) * t ^ n = ∑ _j ∈ Finset.range n, t ^ n := by simp _ ≤ ∑ j ∈ Finset.range n, t ^ j := by apply Finset.sum_le_sum intro j hj exact pow_le_pow_of_le_one ht ht' (Nat.le_of_lt (Finset.mem_range.mp hj)) have hm := mul_le_mul_of_nonneg_right hsum (sub_nonneg.mpr ht') rw [geom_sum_mul_neg] at hm have hp : 0 ≤ t ^ n := pow_nonneg ht _ nlinarith theorem noise_decay_bound {ε : ℝ} (hε : 0 < ε) (hε' : ε ≤ 1 / 2) {k : Nat} (hk : 0 < k) : 4 * ε * ((1 - 2 * ε) ^ k) ^ 2 ≤ 1 / (k : ℝ) := by have h := scaled_geometric_power_le_one (t := 1 - 2 * ε) (by linarith) (by linarith) (2 * k) have hkp : (0 : ℝ) < k := Nat.cast_pos.mpr hk apply (le_div_iff₀ hkp).mpr have hpow : (1 - 2 * ε) ^ (2 * k) = ((1 - 2 * ε) ^ k) ^ 2 := by rw [Nat.mul_comm, pow_mul] rw [hpow] at h norm_num only [Nat.cast_mul, Nat.cast_ofNat] at h nlinarith def zeroMask : Cube I := fun _ => false omit [DecidableEq I] in theorem support_eq_empty_iff (s : Cube I) : support s = ∅ ↔ s = zeroMask := by constructor · intro h funext i have hi : i ∉ support s := by rw [h]; simp have : s i ≠ true := by simpa [support] using hi cases hs : s i <;> simp_all [zeroMask] · intro h subst s simp [zeroMask, support] omit [Fintype I] [DecidableEq J] in theorem parityProjection_zero (π : J → I) : parityProjection π (zeroMask : Cube J) = zeroMask := by funext i simp [parityProjection, support, zeroMask] /-- Choose uniform coordinates in the two masks and check the projection. An empty support contributes zero. -/ def agreementProbability (π : J → I) (a : Cube I) (b : Cube J) : ℝ := (∑ i ∈ support a, (((support b).filter fun y => π y = i).card : ℝ)) / ((support a).card * (support b).card : ℝ) omit [DecidableEq J] in theorem agreementProbability_nonneg (π : J → I) (a : Cube I) (b : Cube J) : 0 ≤ agreementProbability π a b := by unfold agreementProbability apply div_nonneg · exact Finset.sum_nonneg (fun _ _ => Nat.cast_nonneg _) · exact mul_nonneg (Nat.cast_nonneg _) (Nat.cast_nonneg _) omit [DecidableEq J] in theorem agreementProbability_projection (π : J → I) (b : Cube J) (ha : (support (parityProjection π b)).Nonempty) : 1 / ((support b).card : ℝ) ≤ agreementProbability π (parityProjection π b) b := by have hca : (0 : ℝ) < (support (parityProjection π b)).card := Nat.cast_pos.mpr (Finset.card_pos.mpr ha) have hb : (support b).Nonempty := by obtain ⟨i, hi⟩ := ha obtain ⟨y, hy, _⟩ := projection_has_preimage π b i hi exact ⟨y, hy⟩ have hcb : (0 : ℝ) < (support b).card := Nat.cast_pos.mpr (Finset.card_pos.mpr hb) have hsum : ((support (parityProjection π b)).card : ℝ) ≤ ∑ i ∈ support (parityProjection π b), (((support b).filter fun y => π y = i).card : ℝ) := by calc _ = ∑ _i ∈ support (parityProjection π b), (1 : ℝ) := by simp _ ≤ _ := by apply Finset.sum_le_sum intro i hi obtain ⟨y, hy, hπ⟩ := projection_has_preimage π b i hi have hp : 0 < ((support b).filter fun y => π y = i).card := Finset.card_pos.mpr ⟨y, Finset.mem_filter.mpr ⟨hy, hπ⟩⟩ exact_mod_cast hp unfold agreementProbability apply (div_le_div_iff₀ hcb (mul_pos hca hcb)).mpr nlinarith /-- Select independent Walsh masks by squared coefficients and uniform points in each support. The two selections use only the respective private tables. -/ def decoderSuccess (π : J → I) (A : Cube I → Bool) (B : Cube J → Bool) : ℝ := ∑ b, coefficient (fun g => bitSign (B g)) b ^ 2 * (∑ a, coefficient (fun f => bitSign (A f)) a ^ 2 * agreementProbability π a b) def decodingEnergy (π : J → I) (A : Cube I → ℝ) (B : Cube J → ℝ) : ℝ := ∑ b, projectedCoefficient π A b ^ 2 * coefficient B b ^ 2 / (support b).card theorem decodingEnergy_le_success (π : J → I) (A : Cube I → Bool) (B : Cube J → Bool) (hzero : coefficient (fun f => bitSign (A f)) zeroMask = 0) : decodingEnergy π (fun f => bitSign (A f)) (fun g => bitSign (B g)) ≤ decoderSuccess π A B := by unfold decodingEnergy decoderSuccess apply Finset.sum_le_sum intro b _ rw [projectedCoefficient_eq] have hsum : coefficient (fun f => bitSign (A f)) (parityProjection π b) ^ 2 * agreementProbability π (parityProjection π b) b ≤ ∑ a, coefficient (fun f => bitSign (A f)) a ^ 2 * agreementProbability π a b := by apply Finset.single_le_sum (s := Finset.univ) (f := fun a => coefficient (fun f => bitSign (A f)) a ^ 2 * agreementProbability π a b) · intro a _ exact mul_nonneg (sq_nonneg _) (agreementProbability_nonneg π a b) · exact Finset.mem_univ _ have hm := mul_le_mul_of_nonneg_left hsum (sq_nonneg (coefficient (fun g => bitSign (B g)) b)) by_cases ha : (support (parityProjection π b)).Nonempty · have hagree := agreementProbability_projection π b ha have ht := mul_le_mul_of_nonneg_left hagree (mul_nonneg (sq_nonneg (coefficient (fun f => bitSign (A f)) (parityProjection π b))) (sq_nonneg (coefficient (fun g => bitSign (B g)) b))) have heq : coefficient (fun f => bitSign (A f)) (parityProjection π b) ^ 2 * coefficient (fun g => bitSign (B g)) b ^ 2 / (support b).card = (coefficient (fun f => bitSign (A f)) (parityProjection π b) ^ 2 * coefficient (fun g => bitSign (B g)) b ^ 2) * (1 / (support b).card) := by ring rw [heq] exact ht.trans (by convert hm using 1 ; ring) · have hempty : support (parityProjection π b) = ∅ := Finset.not_nonempty_iff_eq_empty.mp ha have hz := (support_eq_empty_iff _).mp hempty simpa [hz, hzero] using hm theorem bias_sq_le_weighted_energy (ε : ℝ) (π : J → I) (A : Cube I → ℝ) (B : Cube J → Bool) : testBias ε π A (fun g => bitSign (B g)) ^ 2 ≤ ∑ b, (projectedCoefficient π A b * coefficient (fun g => bitSign (B g)) b * (1 - 2 * ε) ^ (support b).card) ^ 2 := by rw [testBias_fourier] have h := Finset.sum_mul_sq_le_sq_mul_sq Finset.univ (fun b => projectedCoefficient π A b * coefficient (fun g => bitSign (B g)) b * (1 - 2 * ε) ^ (support b).card) (fun b => coefficient (fun g => bitSign (B g)) b) rw [sign_parseval, mul_one] at h convert h using 1 congr 1 apply Finset.sum_congr rfl intro b _ ring theorem decoder_four_epsilon_bias_sq (ε : ℝ) (π : J → I) (A : Cube I → Bool) (B : Cube J → Bool) (hε : 0 < ε) (hε' : ε ≤ 1 / 2) (hzero : coefficient (fun f => bitSign (A f)) zeroMask = 0) : 4 * ε * testBias ε π (fun f => bitSign (A f)) (fun g => bitSign (B g)) ^ 2 ≤ decoderSuccess π A B := by apply le_trans _ (decodingEnergy_le_success π A B hzero) have hcs := mul_le_mul_of_nonneg_left (bias_sq_le_weighted_energy ε π (fun f => bitSign (A f)) B) (by linarith : 0 ≤ 4 * ε) apply hcs.trans rw [Finset.mul_sum] unfold decodingEnergy apply Finset.sum_le_sum intro b _ by_cases hk : 0 < (support b).card · have hd := noise_decay_bound hε hε' hk have hm := mul_le_mul_of_nonneg_left hd (mul_nonneg (sq_nonneg (projectedCoefficient π (fun f => bitSign (A f)) b)) (sq_nonneg (coefficient (fun g => bitSign (B g)) b))) convert hm using 1 <;> ring · have hb : support b = ∅ := Finset.card_eq_zero.mp (by omega) have hbzero := (support_eq_empty_iff b).mp hb subst b simp [projectedCoefficient_eq, parityProjection_zero, hzero, support, zeroMask] /-- A concrete folded half-table discharges the zero-coefficient condition. -/ theorem folded_decoder_bound (ε : ℝ) (π : J → I) (i₀ : I) (table : HalfCube i₀ → Bool) (B : Cube J → Bool) (hε : 0 < ε) (hε' : ε ≤ 1 / 2) : 4 * ε * testBias ε π (fun f => bitSign (foldedAnswer i₀ table f)) (fun g => bitSign (B g)) ^ 2 ≤ decoderSuccess π (foldedAnswer i₀ table) B := by exact decoder_four_epsilon_bias_sq ε π (foldedAnswer i₀ table) B hε hε' (foldedAnswer_zero_coefficient i₀ table) def validAgreementProbability (valid : J → Bool) (π : J → I) (a : Cube I) (b : Cube J) : ℝ := (∑ i ∈ support a, (((support b).filter fun y => π y = i ∧ valid y = true).card : ℝ)) / ((support a).card * (support b).card : ℝ) omit [DecidableEq J] in theorem validAgreementProbability_eq (valid : J → Bool) (π : J → I) (a : Cube I) (b : Cube J) (hb : ∀ y ∈ support b, valid y = true) : validAgreementProbability valid π a b = agreementProbability π a b := by unfold validAgreementProbability agreementProbability congr 1 apply Finset.sum_congr rfl intro i _ congr 1 apply congrArg Finset.card apply Finset.filter_congr intro y hy simp [hb y hy] def validDecoderSuccess (valid : J → Bool) (π : J → I) (A : Cube I → Bool) (B : Cube J → Bool) : ℝ := ∑ b, coefficient (fun g => bitSign (B g)) b ^ 2 * (∑ a, coefficient (fun f => bitSign (A f)) a ^ 2 * validAgreementProbability valid π a b) /-- Clause validity in the decoded game follows from the concrete conditioned table; no Fourier-support hypothesis is passed to this theorem. -/ theorem conditioned_validDecoderSuccess (valid : J → Bool) (π : J → I) (A : Cube I → Bool) (j₀ : {j : J // valid j = true}) (table : HalfCube j₀ → Bool) : validDecoderSuccess valid π A (conditionedFoldedAnswer valid j₀ table) = decoderSuccess π A (conditionedFoldedAnswer valid j₀ table) := by unfold validDecoderSuccess decoderSuccess apply Finset.sum_congr rfl intro b _ by_cases hc : coefficient (fun g => bitSign (conditionedFoldedAnswer valid j₀ table g)) b = 0 · simp [hc] · have hb : ∀ y ∈ support b, valid y = true := by apply conditioned_coefficient_support valid (fun g => bitSign (foldedAnswer j₀ table g)) b exact hc congr 1 apply Finset.sum_congr rfl intro a _ rw [validAgreementProbability_eq valid π a b hb] theorem conditioned_folded_decoder_bound (ε : ℝ) (π : J → I) (valid : J → Bool) (i₀ : I) (tableA : HalfCube i₀ → Bool) (j₀ : {j : J // valid j = true}) (tableB : HalfCube j₀ → Bool) (hε : 0 < ε) (hε' : ε ≤ 1 / 2) : 4 * ε * testBias ε π (fun f => bitSign (foldedAnswer i₀ tableA f)) (fun g => bitSign (conditionedFoldedAnswer valid j₀ tableB g)) ^ 2 ≤ validDecoderSuccess valid π (foldedAnswer i₀ tableA) (conditionedFoldedAnswer valid j₀ tableB) := by rw [conditioned_validDecoderSuccess] exact folded_decoder_bound ε π i₀ tableA (conditionedFoldedAnswer valid j₀ tableB) hε hε' end MaxCutGames.Foundations.Hastad end end OAI