Datasets:

roseking
/

openAI-math-dataset

import Mathlib
import OAI.Computability.DirectedFeedback.Games.ChainRule

namespace OAI

noncomputable section

namespace DFVSGames.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⟩

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]

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

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]

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)

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 DFVSGames.Foundations.Hastad
end

noncomputable section

namespace DFVSGames.Foundations.Hastad

open scoped BigOperators
open Finset
open DFVSGames.Foundations.Games

variable {I J : Type*} [Fintype I] [DecidableEq I]
  [Fintype J] [DecidableEq J]

def supportResponse (fallback : I) (s : Cube I) : FiniteDistribution I where
  weight i := if (support s).Nonempty then
    if i ∈ support s then 1 / ((support s).card : ℝ) else 0
    else if i = fallback then 1 else 0
  nonnegative i := by
    split_ifs <;> positivity
  normalized := by
    by_cases hs : (support s).Nonempty
    · have hc : ((support s).card : ℝ) ≠ 0 :=
        ne_of_gt (Nat.cast_pos.mpr (Finset.card_pos.mpr hs))
      simp [hs, hc]
    · simp [hs]

theorem supportResponse_expectation (fallback : I) (s : Cube I) (H : I → ℝ)
    (hs : (support s).Nonempty) :
    (supportResponse fallback s).expectation H =
      (∑ i ∈ support s, H i) / ((support s).card : ℝ) := by
  simp only [FiniteDistribution.expectation, supportResponse, hs, ite_true]
  simp_rw [ite_mul, zero_mul]
  rw [Finset.sum_ite_mem]
  simp only [div_eq_mul_inv, one_mul, Finset.univ_inter]
  rw [← Finset.mul_sum]
  ring

def fourierResponse (fallback : I) (F : Cube I → Bool) : FiniteDistribution I where
  weight i := ∑ s, coefficient (fun f => bitSign (F f)) s ^ 2 *
    (supportResponse fallback s).weight i
  nonnegative i := Finset.sum_nonneg fun s _ =>
    mul_nonneg (sq_nonneg _) ((supportResponse fallback s).nonnegative i)
  normalized := by
    rw [Finset.sum_comm]
    simp_rw [← Finset.mul_sum, FiniteDistribution.normalized, mul_one]
    exact sign_parseval F

theorem fourierResponse_expectation (fallback : I) (F : Cube I → Bool)
    (H : I → ℝ) :
    (fourierResponse fallback F).expectation H =
      ∑ s, coefficient (fun f => bitSign (F f)) s ^ 2 *
        (supportResponse fallback s).expectation H := by
  unfold FiniteDistribution.expectation fourierResponse
  simp_rw [Finset.sum_mul]
  rw [Finset.sum_comm]
  apply Finset.sum_congr rfl
  intro s _
  rw [Finset.mul_sum]
  apply Finset.sum_congr rfl
  intro i _
  ring

theorem response_expectation_nonnegative {K : Type*} [Fintype K]
    (law : FiniteDistribution K) (H : K → ℝ) (hH : ∀ k, 0 ≤ H k) :
    0 ≤ law.expectation H :=
  Finset.sum_nonneg fun k _ => mul_nonneg (law.nonnegative k) (hH k)

def responseAgreement (π : J → I) (fallbackI : I) (fallbackJ : J)
    (A : Cube I → Bool) (B : Cube J → Bool) : ℝ :=
  (fourierResponse fallbackI A).expectation fun i =>
    (fourierResponse fallbackJ B).expectation fun j => if π j = i then 1 else 0

def validResponseAgreement (valid : J → Bool) (π : J → I)
    (fallbackI : I) (fallbackJ : J)
    (A : Cube I → Bool) (B : Cube J → Bool) : ℝ :=
  (fourierResponse fallbackI A).expectation fun i =>
    (fourierResponse fallbackJ B).expectation fun j =>
      if π j = i ∧ valid j = true then 1 else 0

theorem supportResponse_validAgreement (valid : J → Bool) (π : J → I)
    (fallbackI : I) (fallbackJ : J) (a : Cube I) (b : Cube J)
    (ha : (support a).Nonempty) (hb : (support b).Nonempty) :
    (supportResponse fallbackI a).expectation (fun i =>
      (supportResponse fallbackJ b).expectation (fun j =>
        if π j = i ∧ valid j = true then 1 else 0)) =
      validAgreementProbability valid π a b := by
  rw [supportResponse_expectation fallbackI a _ ha]
  simp_rw [supportResponse_expectation fallbackJ b _ hb, Finset.sum_boole]
  unfold validAgreementProbability
  simp only [div_eq_mul_inv]
  rw [← Finset.sum_mul]
  ring

theorem validAgreement_le_supportResponses (valid : J → Bool) (π : J → I)
    (fallbackI : I) (fallbackJ : J) (a : Cube I) (b : Cube J) :
    validAgreementProbability valid π a b ≤
      (supportResponse fallbackI a).expectation (fun i =>
        (supportResponse fallbackJ b).expectation (fun j =>
          if π j = i ∧ valid j = true then 1 else 0)) := by
  by_cases ha : (support a).Nonempty
  · by_cases hb : (support b).Nonempty
    · exact le_of_eq (supportResponse_validAgreement valid π fallbackI fallbackJ a b ha hb).symm
    · have he : support b = ∅ := Finset.not_nonempty_iff_eq_empty.mp hb
      simp only [validAgreementProbability, he, Finset.card_empty, Nat.cast_zero,
        mul_zero, div_zero]
      apply response_expectation_nonnegative
      intro i
      apply response_expectation_nonnegative
      intro j
      split_ifs <;> norm_num
  · have he : support a = ∅ := Finset.not_nonempty_iff_eq_empty.mp ha
    simp only [validAgreementProbability, he, Finset.sum_empty, Finset.card_empty,
      Nat.cast_zero, zero_mul, div_zero]
    apply response_expectation_nonnegative
    intro i
    apply response_expectation_nonnegative
    intro j
    split_ifs <;> norm_num

theorem validDecoderSuccess_le_response (valid : J → Bool) (π : J → I)
    (fallbackI : I) (fallbackJ : J) (A : Cube I → Bool) (B : Cube J → Bool) :
    validDecoderSuccess valid π A B ≤
      validResponseAgreement valid π fallbackI fallbackJ A B := by
  unfold validDecoderSuccess validResponseAgreement
  rw [FiniteDistribution.expectation_comm]
  rw [fourierResponse_expectation fallbackJ B]
  apply Finset.sum_le_sum
  intro b _
  apply mul_le_mul_of_nonneg_left _ (sq_nonneg _)
  rw [FiniteDistribution.expectation_comm]
  rw [fourierResponse_expectation fallbackI A]
  apply Finset.sum_le_sum
  intro a _
  apply mul_le_mul_of_nonneg_left _ (sq_nonneg _)
  exact validAgreement_le_supportResponses valid π fallbackI fallbackJ a b

theorem conditioned_folded_response_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 ≤
      validResponseAgreement valid π i₀ j₀.val (foldedAnswer i₀ tableA)
        (conditionedFoldedAnswer valid j₀ tableB) :=
  (conditioned_folded_decoder_bound ε π valid i₀ tableA j₀ tableB hε hε').trans
    (validDecoderSuccess_le_response valid π i₀ j₀.val _ _)

end DFVSGames.Foundations.Hastad
end

noncomputable section
namespace DFVSGames.Foundations.Hastad

open scoped BigOperators
open Finset
open DFVSGames.Foundations.Games

theorem distribution_sq_expectation_le {Ω : Type*} [Fintype Ω]
    (law : FiniteDistribution Ω) (F : Ω → ℝ) :
    law.expectation F ^ 2 ≤ law.expectation (fun x => F x ^ 2) := by
  let m := law.expectation F
  have h := response_expectation_nonnegative law (fun x => (F x - m) ^ 2)
    (fun x => sq_nonneg _)
  have he : law.expectation (fun x => (F x - m) ^ 2) =
      law.expectation (fun x => F x ^ 2) - m ^ 2 := by
    unfold FiniteDistribution.expectation
    calc
      _ = ∑ x, ((law.weight x * F x ^ 2 - 2 * m * (law.weight x * F x)) +
          law.weight x * m ^ 2) := by
        apply Finset.sum_congr rfl
        intro x _
        ring
      _ = _ := by
        rw [Finset.sum_add_distrib, Finset.sum_sub_distrib,
          ← Finset.mul_sum, ← Finset.sum_mul, law.normalized]
        change (law.expectation (fun x => F x ^ 2) - 2 * m * m) + 1 * m ^ 2 = _
        simp only [FiniteDistribution.expectation]
        ring
  rw [he] at h
  dsimp [m] at h
  linarith

variable {Q₁ Q₂ I J : Type*}
  [Fintype Q₁] [DecidableEq Q₁] [Fintype Q₂] [DecidableEq Q₂]
  [Fintype I] [DecidableEq I] [Nonempty I]
  [Fintype J] [DecidableEq J] [Nonempty J]

def projectionGame (questions : FiniteDistribution (Q₁ × Q₂))
    (π : Q₁ → Q₂ → J → I) (valid : Q₂ → J → Bool) : Game Q₁ Q₂ I J where
  questions := questions
  accepts q₁ q₂ i j := decide (π q₁ q₂ j = i ∧ valid q₂ j = true)

def questionBias (ε : ℝ) (π : Q₁ → Q₂ → J → I)
    (A : Q₁ → Cube I → Bool) (B : Q₂ → Cube J → Bool) (q : Q₁ × Q₂) : ℝ :=
  testBias ε (π q.1 q.2) (fun f => bitSign (A q.1 f)) (fun g => bitSign (B q.2 g))

def questionAcceptance (ε : ℝ) (π : Q₁ → Q₂ → J → I)
    (A : Q₁ → Cube I → Bool) (B : Q₂ → Cube J → Bool) (q : Q₁ × Q₂) : ℝ :=
  testAcceptance ε (π q.1 q.2) (A q.1) (B q.2)

omit [DecidableEq Q₁] [DecidableEq Q₂] [Nonempty I] [Nonempty J] in
theorem questionAcceptance_eq (questions : FiniteDistribution (Q₁ × Q₂))
    (ε : ℝ) (π : Q₁ → Q₂ → J → I)
    (A : Q₁ → Cube I → Bool) (B : Q₂ → Cube J → Bool) :
    questions.expectation (questionAcceptance ε π A B) =
      (1 + questions.expectation (questionBias ε π A B)) / 2 := by
  unfold questionAcceptance
  simp_rw [testAcceptance_eq]
  unfold questionBias FiniteDistribution.expectation
  simp only [div_eq_mul_inv, mul_add, mul_one, ← mul_assoc,
    Finset.sum_add_distrib, ← Finset.sum_mul, questions.normalized]

inductive ConditionedOracle (valid : J → Bool) where
  | empty (noLegal : ∀ j, valid j = false)
  | stored (j₀ : {j : J // valid j = true}) (table : HalfCube j₀ → Bool)

def ConditionedOracle.answer {valid : J → Bool} : ConditionedOracle valid → Cube J → Bool
  | .empty _ => fun _ => false
  | .stored j₀ table => conditionedFoldedAnswer valid j₀ table

def ConditionedOracle.fallback {valid : J → Bool} (default : J) :
    ConditionedOracle valid → J
  | .empty _ => default
  | .stored j₀ _ => j₀.val

omit [Nonempty I] [Nonempty J] in
theorem testBias_constant_right (ε : ℝ) (π : J → I) (A : Cube I → ℝ) :
    testBias ε π A (fun _ => 1) = 𝔼 f, A f := by
  unfold testBias
  simp only [mul_one, Fintype.expect_const]
  simp_rw [← Finset.sum_mul, noiseWeight_sum, one_mul]

omit [Nonempty I] [Nonempty J] in
theorem empty_conditioned_bias (ε : ℝ) (π : J → I)
    (i₀ : I) (tableA : HalfCube i₀ → Bool) :
    testBias ε π (fun f => bitSign (foldedAnswer i₀ tableA f))
      (fun _ => bitSign false) = 0 := by
  simp only [bitSign, Bool.false_eq_true, ite_false]
  rw [testBias_constant_right]
  have hz := foldedAnswer_zero_coefficient i₀ tableA
  simpa [coefficient, walsh, bitSign] using hz

omit [Nonempty I] [Nonempty J] in
theorem conditionedOracle_response_bound (ε : ℝ) (π : J → I) (valid : J → Bool)
    (i₀ : I) (tableA : HalfCube i₀ → Bool) (default : J)
    (right : ConditionedOracle valid) (hε : 0 < ε) (hε' : ε ≤ 1 / 2) :
    4 * ε * testBias ε π (fun f => bitSign (foldedAnswer i₀ tableA f))
      (fun g => bitSign (right.answer g)) ^ 2 ≤
      validResponseAgreement valid π i₀ (right.fallback default)
        (foldedAnswer i₀ tableA) right.answer := by
  cases right with
  | empty noLegal =>
      simp only [ConditionedOracle.answer, ConditionedOracle.fallback,
        empty_conditioned_bias, pow_two, mul_zero]
      unfold validResponseAgreement
      apply response_expectation_nonnegative
      intro i
      apply response_expectation_nonnegative
      intro j
      split_ifs <;> norm_num
  | stored j₀ table =>
      exact conditioned_folded_response_bound ε π valid i₀ tableA j₀ table hε hε'

theorem folded_game_decoder_bound
    (questions : FiniteDistribution (Q₁ × Q₂))
    (ε : ℝ) (π : Q₁ → Q₂ → J → I) (valid : Q₂ → J → Bool)
    (i₀ : Q₁ → I) (tableA : ∀ q, HalfCube (i₀ q) → Bool)
    (j₀ : ∀ q, {j : J // valid q j = true})
    (tableB : ∀ q, HalfCube (j₀ q) → Bool)
    (hε : 0 < ε) (hε' : ε ≤ 1 / 2) :
    4 * ε * questions.expectation (questionBias ε π
      (fun q => foldedAnswer (i₀ q) (tableA q))
      (fun q => conditionedFoldedAnswer (valid q) (j₀ q) (tableB q))) ^ 2 ≤
      (projectionGame questions π valid).value := by
  let A := fun q => foldedAnswer (i₀ q) (tableA q)
  let B := fun q => conditionedFoldedAnswer (valid q) (j₀ q) (tableB q)
  let bias := questionBias ε π A B
  calc
    _ ≤ 4 * ε * questions.expectation (fun q => bias q ^ 2) :=
      mul_le_mul_of_nonneg_left (distribution_sq_expectation_le questions bias) (by linarith)
    _ = questions.expectation (fun q => 4 * ε * bias q ^ 2) := by
      unfold FiniteDistribution.expectation
      rw [Finset.mul_sum]
      apply Finset.sum_congr rfl
      intro q _
      ring
    _ ≤ questions.expectation (fun q =>
        validResponseAgreement (valid q.2) (π q.1 q.2) (i₀ q.1) (j₀ q.2).val
          (A q.1) (B q.2)) := by
      unfold FiniteDistribution.expectation
      apply Finset.sum_le_sum
      intro q _
      apply mul_le_mul_of_nonneg_left _ (questions.nonnegative q)
      exact conditioned_folded_response_bound ε (π q.1 q.2) (valid q.2)
        (i₀ q.1) (tableA q.1) (j₀ q.2) (tableB q.2) hε hε'
    _ = (projectionGame questions π valid).stochasticSuccess
        (fun q => fourierResponse (i₀ q) (A q))
        (fun q => fourierResponse (j₀ q).val (B q)) := by
      simp [Game.stochasticSuccess, projectionGame, validResponseAgreement]
    _ ≤ _ := Game.stochasticSuccess_le_value _ _ _

theorem conditionedOracle_game_decoder_bound
    (questions : FiniteDistribution (Q₁ × Q₂))
    (ε : ℝ) (π : Q₁ → Q₂ → J → I) (valid : Q₂ → J → Bool)
    (i₀ : Q₁ → I) (tableA : ∀ q, HalfCube (i₀ q) → Bool)
    (default : J) (right : ∀ q, ConditionedOracle (valid q))
    (hε : 0 < ε) (hε' : ε ≤ 1 / 2) :
    4 * ε * questions.expectation (questionBias ε π
      (fun q => foldedAnswer (i₀ q) (tableA q)) (fun q => (right q).answer)) ^ 2 ≤
      (projectionGame questions π valid).value := by
  let A := fun q => foldedAnswer (i₀ q) (tableA q)
  let B := fun q => (right q).answer
  let bias := questionBias ε π A B
  calc
    _ ≤ 4 * ε * questions.expectation (fun q => bias q ^ 2) :=
      mul_le_mul_of_nonneg_left (distribution_sq_expectation_le questions bias) (by linarith)
    _ = questions.expectation (fun q => 4 * ε * bias q ^ 2) := by
      unfold FiniteDistribution.expectation
      rw [Finset.mul_sum]
      apply Finset.sum_congr rfl
      intro q _
      ring
    _ ≤ questions.expectation (fun q =>
        validResponseAgreement (valid q.2) (π q.1 q.2) (i₀ q.1)
          ((right q.2).fallback default) (A q.1) (B q.2)) := by
      unfold FiniteDistribution.expectation
      apply Finset.sum_le_sum
      intro q _
      apply mul_le_mul_of_nonneg_left _ (questions.nonnegative q)
      exact conditionedOracle_response_bound ε (π q.1 q.2) (valid q.2)
        (i₀ q.1) (tableA q.1) default (right q.2) hε hε'
    _ = (projectionGame questions π valid).stochasticSuccess
        (fun q => fourierResponse (i₀ q) (A q))
        (fun q => fourierResponse ((right q).fallback default) (B q)) := by
      simp [Game.stochasticSuccess, projectionGame, validResponseAgreement]
    _ ≤ _ := Game.stochasticSuccess_le_value _ _ _

theorem conditionedOracle_acceptance_bound
    (questions : FiniteDistribution (Q₁ × Q₂))
    (ε δ : ℝ) (π : Q₁ → Q₂ → J → I) (valid : Q₂ → J → Bool)
    (i₀ : Q₁ → I) (tableA : ∀ q, HalfCube (i₀ q) → Bool)
    (default : J) (right : ∀ q, ConditionedOracle (valid q))
    (hε : 0 < ε) (hε' : ε ≤ 1 / 2) (hδ : 0 ≤ δ)
    (hvalue : (projectionGame questions π valid).value ≤ 4 * ε * δ ^ 2) :
    questions.expectation (questionAcceptance ε π
      (fun q => foldedAnswer (i₀ q) (tableA q)) (fun q => (right q).answer)) ≤
      (1 + δ) / 2 := by
  have hd := conditionedOracle_game_decoder_bound questions ε π valid i₀ tableA
    default right hε hε'
  have hpos : 0 < 4 * ε := by positivity
  have hs := le_of_mul_le_mul_left (hd.trans hvalue) hpos
  rw [questionAcceptance_eq]
  nlinarith

end DFVSGames.Foundations.Hastad
end

noncomputable section

namespace DFVSGames.Foundations.Games

open scoped BigOperators

namespace FiniteDistribution

def reindexEquiv {ι κ Ω : Type*} (e : κ ≃ ι) : (ι → Ω) ≃ (κ → Ω) where
  toFun f := f ∘ e
  invFun g := g ∘ e.symm
  left_inv f := by funext i; simp
  right_inv g := by funext i; simp

theorem pushforward_equiv {Ω Γ : Type*} [Fintype Ω] [Fintype Γ]
    (μ : FiniteDistribution Ω) (e : Ω ≃ Γ) :
    μ.pushforward e = μ.transport e := by
  classical
  apply eq_of_weight_eq
  intro y
  simp only [pushforward, transport]
  have he : ∀ x : Ω, (e x = y) = (x = e.symm y) := by
    intro x
    apply propext
    constructor
    · intro h
      simpa using congrArg e.symm h
    · intro h
      rw [h, e.apply_symm_apply]
  simp_rw [he]
  simp

theorem table_const_reindex {ι κ Ω : Type*}
    [Fintype ι] [Fintype κ] [Fintype Ω] [DecidableEq ι] [DecidableEq κ]
    (μ : FiniteDistribution Ω) (e : κ ≃ ι) :
    (table (fun _ : ι => μ)).pushforward (fun f => f ∘ e) =
      table (fun _ : κ => μ) := by
  classical
  change (table (fun _ : ι => μ)).pushforward (reindexEquiv e) = _
  rw [pushforward_equiv]
  apply eq_of_weight_eq
  intro g
  change (∏ i : ι, μ.weight (g (e.symm i))) = ∏ k : κ, μ.weight (g k)
  exact e.symm.prod_comp (fun k => μ.weight (g k))

theorem iid_reindex {Ω : Type*} [Fintype Ω]
    (μ : FiniteDistribution Ω) {n m : Nat} (e : Fin m ≃ Fin n) :
    (μ.iid n).pushforward (fun f => f ∘ e) = μ.iid m := by
  classical
  change (μ.iid n).pushforward (reindexEquiv e) = _
  rw [pushforward_equiv]
  apply eq_of_weight_eq
  intro g
  change (∏ i : Fin n, μ.weight (g (e.symm i))) = ∏ k : Fin m, μ.weight (g k)
  exact e.symm.prod_comp (fun k => μ.weight (g k))

theorem probability_reindex_of_weight {Ω Γ : Type*} [Fintype Ω] [Fintype Γ]
    (μ : FiniteDistribution Ω) (ν : FiniteDistribution Γ) (e : Ω ≃ Γ)
    (hweight : ∀ x, ν.weight (e x) = μ.weight x) (event : Γ → Bool) :
    ν.probability event = μ.probability (fun x => event (e x)) := by
  classical
  change (∑ y, if event y then ν.weight y else 0) =
    ∑ x, if event (e x) then μ.weight x else 0
  rw [← e.sum_comp (fun y => if event y then ν.weight y else 0)]
  apply Finset.sum_congr rfl
  intro x _
  rw [hweight]

end FiniteDistribution

namespace Game

variable {Q₁ Q₂ A₁ A₂ : Type*}
variable [Fintype Q₁] [Fintype Q₂] [Fintype A₁] [Fintype A₂]

def questionReindexEquiv {n m : Nat} (e : Fin m ≃ Fin n) :
    ((Fin n → Q₁) × (Fin n → Q₂)) ≃ ((Fin m → Q₁) × (Fin m → Q₂)) :=
  Equiv.prodCongr (FiniteDistribution.reindexEquiv e)
    (FiniteDistribution.reindexEquiv e)

def reindexStrategy {n m : Nat} (e : Fin m ≃ Fin n)
    (s : Strategy (Fin n → Q₁) (Fin n → Q₂) (Fin n → A₁) (Fin n → A₂)) :
    Strategy (Fin m → Q₁) (Fin m → Q₂) (Fin m → A₁) (Fin m → A₂) :=
  (fun x i => s.1 (x ∘ e.symm) (e i),
   fun y i => s.2 (y ∘ e.symm) (e i))

theorem repetition_question_weight_reindex (G : Game Q₁ Q₂ A₁ A₂)
    {n m : Nat} (e : Fin m ≃ Fin n)
    (q : (Fin n → Q₁) × (Fin n → Q₂)) :
    (G.repetition m).questions.weight (questionReindexEquiv e q) =
      (G.repetition n).questions.weight q := by
  classical
  rw [repetition_question_weight, repetition_question_weight]
  change (∏ i : Fin m, G.questions.weight (q.1 (e i), q.2 (e i))) =
    ∏ j : Fin n, G.questions.weight (q.1 j, q.2 j)
  exact e.prod_comp (fun j => G.questions.weight (q.1 j, q.2 j))

theorem repetition_questions_reindex (G : Game Q₁ Q₂ A₁ A₂)
    {n m : Nat} (e : Fin m ≃ Fin n) :
    (G.repetition n).questions.pushforward (questionReindexEquiv e) =
      (G.repetition m).questions := by
  classical
  rw [FiniteDistribution.pushforward_equiv]
  apply FiniteDistribution.eq_of_weight_eq
  intro q
  change (G.repetition n).questions.weight ((questionReindexEquiv e).symm q) =
    (G.repetition m).questions.weight q
  have h := repetition_question_weight_reindex G e ((questionReindexEquiv e).symm q)
  simpa only [Equiv.apply_symm_apply] using h.symm

theorem coordinateWin_reindex (G : Game Q₁ Q₂ A₁ A₂)
    {n m : Nat} (e : Fin m ≃ Fin n)
    (s : Strategy (Fin n → Q₁) (Fin n → Q₂) (Fin n → A₁) (Fin n → A₂))
    (i : Fin m) (q : (Fin n → Q₁) × (Fin n → Q₂)) :
    G.coordinateWin (reindexStrategy e s) i (questionReindexEquiv e q) =
      G.coordinateWin s (e i) q := by
  have h₁ : (fun j : Fin n => q.1 (e (e.symm j))) = q.1 := by
    funext j
    rw [e.apply_symm_apply]
  have h₂ : (fun j : Fin n => q.2 (e (e.symm j))) = q.2 := by
    funext j
    rw [e.apply_symm_apply]
  change G.accepts (q.1 (e i)) (q.2 (e i))
      (s.1 (fun j => q.1 (e (e.symm j))) (e i))
      (s.2 (fun j => q.2 (e (e.symm j))) (e i)) =
    G.accepts (q.1 (e i)) (q.2 (e i)) (s.1 q.1 (e i)) (s.2 q.2 (e i))
  rw [h₁, h₂]

theorem selectedWins_reindex (G : Game Q₁ Q₂ A₁ A₂)
    {n m : Nat} (e : Fin m ≃ Fin n)
    (s : Strategy (Fin n → Q₁) (Fin n → Q₂) (Fin n → A₁) (Fin n → A₂))
    (S : Finset (Fin m)) (q : (Fin n → Q₁) × (Fin n → Q₂)) :
    G.selectedWins (reindexStrategy e s) S (questionReindexEquiv e q) =
      G.selectedWins s (S.map e.toEmbedding) q := by
  classical
  unfold selectedWins
  congr 1
  apply propext
  constructor
  · intro h j hj
    obtain ⟨i, hi, rfl⟩ := Finset.mem_map.mp hj
    have hw := h i hi
    rw [coordinateWin_reindex] at hw
    exact hw
  · intro h i hi
    rw [coordinateWin_reindex]
    exact h (e i) (Finset.mem_map.mpr ⟨i, hi, rfl⟩)

theorem selectedSuccess_reindex (G : Game Q₁ Q₂ A₁ A₂)
    {n m : Nat} (e : Fin m ≃ Fin n)
    (s : Strategy (Fin n → Q₁) (Fin n → Q₂) (Fin n → A₁) (Fin n → A₂))
    (S : Finset (Fin m)) :
    G.selectedSuccess (reindexStrategy e s) S =
      G.selectedSuccess s (S.map e.toEmbedding) := by
  classical
  unfold selectedSuccess
  rw [FiniteDistribution.probability_reindex_of_weight
    (G.repetition n).questions (G.repetition m).questions (questionReindexEquiv e)
    (repetition_question_weight_reindex G e)]
  congr 1
  funext q
  exact selectedWins_reindex G e s S q

theorem repetition_success_reindex (G : Game Q₁ Q₂ A₁ A₂)
    {n m : Nat} (e : Fin m ≃ Fin n)
    (s : Strategy (Fin n → Q₁) (Fin n → Q₂) (Fin n → A₁) (Fin n → A₂)) :
    (G.repetition m).success (reindexStrategy e s) =
      (G.repetition n).success s := by
  classical
  have huniv : (Finset.univ : Finset (Fin m)).map e.toEmbedding = Finset.univ := by
    ext j
    constructor
    · intro _
      exact Finset.mem_univ j
    · intro _
      exact Finset.mem_map.mpr ⟨e.symm j, Finset.mem_univ _, e.apply_symm_apply j⟩
  have h := selectedSuccess_reindex G e s Finset.univ
  rw [huniv, selectedSuccess_univ, selectedSuccess_univ] at h
  exact h

end Game
end DFVSGames.Foundations.Games
end

end OAI