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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