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import OAI.Computability.PerfectCompleteness.Decoding.RepresentativeBucketCollisionLemmas
import OAI.Computability.PerfectCompleteness.Foundations.PartitionsLemmas
import OAI.Computability.PerfectCompleteness.Sampling.FiniteListSampling
import OAI.Computability.UniqueGames.Foundations.SamplingLemmas
namespace OAI
namespace PerfectCompleteness.LeftDecoder
open scoped BigOperators Classical
open UniqueGamesTheorem.Foundations.Games
open ClauseSupport MixedSupport
abbrev F2 := ZMod 2
noncomputable section
section Affine
variable {V : Type*} [AddCommGroup V] [Module F2 V] [FiniteDimensional F2 V]
local instance dualFintype : Fintype (Module.Dual F2 V) :=
Fintype.ofEquiv (Fin (Module.finrank F2 (Module.Dual F2 V)) → F2)
(Module.finBasis F2 (Module.Dual F2 V)).equivFun.toEquiv.symm
def affineLaw (W : Submodule F2 V)
(C : Submodule F2 (Module.Dual F2 (V ⧸ W))) (center : Module.Dual F2 V) :
FiniteDistribution (Module.Dual F2 V) :=
(FiniteDistribution.uniform (PulledColumnSpace.Candidates W C center)).pushforward Subtype.val
theorem affineLaw_probability (W : Submodule F2 V)
(C : Submodule F2 (Module.Dual F2 (V ⧸ W))) (center : Module.Dual F2 V)
(event : Module.Dual F2 V → Bool) :
(affineLaw W C center).probability event =
(FiniteDistribution.uniform (PulledColumnSpace.Candidates W C center)).probability
(fun q => event q.val) :=
FiniteDistribution.probability_pushforward _ _ _
theorem affineLaw_probability_eq_one (W : Submodule F2 V)
(C : Submodule F2 (Module.Dual F2 (V ⧸ W))) (center : Module.Dual F2 V)
(event : Module.Dual F2 V → Bool)
(hevent : ∀ q : PulledColumnSpace.Candidates W C center, event q.val = true) :
(affineLaw W C center).probability event = 1 := by
rw [affineLaw_probability]
have heq : (fun q : PulledColumnSpace.Candidates W C center => event q.val) =
fun _ => true := funext hevent
rw [heq, FiniteDistribution.probability_true]
theorem affineLaw_weight (W : Submodule F2 V)
(C : Submodule F2 (Module.Dual F2 (V ⧸ W))) (center q : Module.Dual F2 V) :
(affineLaw W C center).weight q =
if q - center ∈ PulledColumnSpace.pulled W C then
1 / (2 : ℝ) ^ Module.finrank F2 C else 0 := by
have hweight : (affineLaw W C center).weight q =
if q - center ∈ PulledColumnSpace.pulled W C then
1 / (Fintype.card (PulledColumnSpace.Candidates W C center) : ℝ) else 0 := by
let : Fintype {p : Module.Dual F2 V // p - center ∈ PulledColumnSpace.pulled W C} :=
PulledColumnSpace.candidatesFintype W C center
change (∑ p : {p : Module.Dual F2 V // p - center ∈ PulledColumnSpace.pulled W C},
if p.val = q then
1 / (Fintype.card (PulledColumnSpace.Candidates W C center) : ℝ) else 0) = _
by_cases hq : q - center ∈ PulledColumnSpace.pulled W C
· rw [ite_eq_left hq, Finset.sum_eq_single
(⟨q, hq⟩ : {p : Module.Dual F2 V // p - center ∈ PulledColumnSpace.pulled W C})]
· simp
· intro p _ hp
have hne : p.val ≠ q := fun heq => hp (Subtype.ext heq)
simp [hne]
· simp
· rw [ite_eq_right hq]
apply Finset.sum_eq_zero
intro p _
have hne : p.val ≠ q := fun heq => hq (heq ▸ p.property)
simp [hne]
simpa only [PulledColumnSpace.fintype_card_candidates, Nat.cast_pow, Nat.cast_ofNat]
using hweight
theorem affineLaw_support (W : Submodule F2 V)
(C : Submodule F2 (Module.Dual F2 (V ⧸ W))) (center : Module.Dual F2 V) :
(affineLaw W C center).probability
(fun q => decide (q - center ∈ PulledColumnSpace.pulled W C)) = 1 := by
rw [affineLaw_probability]
have hevent : (fun q : PulledColumnSpace.Candidates W C center =>
decide (q.val - center ∈ PulledColumnSpace.pulled W C)) = fun _ => true := by
funext q
exact decide_eq_true q.property
rw [hevent, FiniteDistribution.probability_true]
theorem affineLaw_success_lower (W : Submodule F2 V)
(C : Submodule F2 (Module.Dual F2 (V ⧸ W))) (center : Module.Dual F2 V)
{r : Nat} (hC : Module.finrank F2 C ≤ r) (event : Module.Dual F2 V → Bool)
(witness : ∃ q : PulledColumnSpace.Candidates W C center, event q.val = true) :
1 / (2 : ℝ) ^ r ≤ (affineLaw W C center).probability event := by
obtain ⟨q, hq⟩ := witness
have hweight := FiniteListSampling.probability_ge_weight
(affineLaw W C center) event q.val hq
rw [affineLaw_weight, ite_eq_left q.property] at hweight
exact (one_div_le_one_div_of_le (pow_pos (by norm_num : (0 : ℝ) < 2) _)
(pow_le_pow_right₀ (by norm_num : (1 : ℝ) ≤ 2) hC)).trans hweight
end Affine
attribute [local instance] UniqueGamesTheorem.Appendix.RankLevelFilter.linearMapFintype
variable {n : Nat} {K Z : Type*} [AddCommGroup K] [Module F2 K]
(slots : Fin n → Slot) (H : Submodule F2 (Assignment slots → F2))
(other : Assignment slots → Z) (labeling : KeyStrategy.Strategy n)
(W : Submodule F2 H) (s : (H ⧸ W) →ₗ[F2] H)
(hs : W.mkQ.comp s = LinearMap.id)
[FiniteDimensional F2 H] [FiniteDimensional F2 K]
[Fintype H] [Fintype K] [Fintype Z]
(useful : (Module.Dual F2 (H ⧸ W) →ₗ[F2] K) → Prop)
{r : Nat} {ρ : ℝ} {A : ManyGoodRows.RowMap K r}
{U : Module.Dual F2 (H ⧸ W) →ₗ[F2] (Fin r → F2)}
local instance representativeDualFintype : Fintype (Module.Dual F2 H) :=
dualFintype (V := H)
def center (w : DenseWitnessRealization.RepresentativeWitness
slots H other labeling W s useful (r := r) (ρ := ρ) (A := A) (U := U)) :
Module.Dual F2 H :=
RepresentativeMatrixTable.correctionFunctional slots H other W s hs w.value.2
def law (w : DenseWitnessRealization.RepresentativeWitness
slots H other labeling W s useful (r := r) (ρ := ρ) (A := A) (U := U)) :
FiniteDistribution (Module.Dual F2 H) :=
affineLaw W w.columnSpace (center slots H other labeling W s hs useful w)
omit [FiniteDimensional F2 K] [Fintype Z]
theorem law_weight (w : DenseWitnessRealization.RepresentativeWitness
slots H other labeling W s useful (r := r) (ρ := ρ) (A := A) (U := U))
(q : Module.Dual F2 H) :
(law slots H other labeling W s hs useful w).weight q =
if q - center slots H other labeling W s hs useful w ∈
PulledColumnSpace.pulled W w.columnSpace then
1 / (2 : ℝ) ^ Module.finrank F2 w.columnSpace else 0 :=
affineLaw_weight W w.columnSpace _ q
theorem law_support (w : DenseWitnessRealization.RepresentativeWitness
slots H other labeling W s useful (r := r) (ρ := ρ) (A := A) (U := U)) :
(law slots H other labeling W s hs useful w).probability
(fun q => decide (q - center slots H other labeling W s hs useful w ∈
PulledColumnSpace.pulled W w.columnSpace)) = 1 :=
affineLaw_support W w.columnSpace _
omit [FiniteDimensional F2 H] in
theorem exists_candidate_realizer
(hW : RepresentativeMatrixTable.Determined slots H other W)
(w : DenseWitnessRealization.RepresentativeWitness
slots H other labeling W s useful (r := r) (ρ := ρ) (A := A) (U := U))
(hρ : 0 < ρ) :
∃ x : Assignment slots, other x = w.value.2 ∧
∀ q : PulledColumnSpace.Candidates W w.columnSpace
(center slots H other labeling W s hs useful w),
∀ b : W, q.val (b : H) = b.val.val x := by
obtain ⟨X, _, x, hx, hknown⟩ := DenseWitnessRealization.exists_coset_realizer
slots H other labeling W s useful hs hW w hρ
(PulledColumnSpace.pulled W w.columnSpace)
(PulledColumnSpace.pulled_le_annihilator W w.columnSpace)
refine ⟨x, congrArg Prod.snd hx, ?_⟩
intro q b
rw [PulledColumnSpace.candidate_apply_known]
simpa only [center, Submodule.coe_zero, add_zero] using hknown 0 b
omit [FiniteDimensional F2 H] in
theorem candidate_one (hW : RepresentativeMatrixTable.Determined slots H other W)
(w : DenseWitnessRealization.RepresentativeWitness
slots H other labeling W s useful (r := r) (ρ := ρ) (A := A) (U := U))
(hρ : 0 < ρ) (b : W) (hb : b.val.val = (1 : Assignment slots → F2))
(q : PulledColumnSpace.Candidates W w.columnSpace
(center slots H other labeling W s hs useful w)) : q.val (b : H) = 1 := by
obtain ⟨x, _, hknown⟩ :=
exists_candidate_realizer slots H other labeling W s hs useful hW w hρ
rw [hknown q b, hb]
rfl
theorem law_normalized_on_one
(hW : RepresentativeMatrixTable.Determined slots H other W)
(w : DenseWitnessRealization.RepresentativeWitness
slots H other labeling W s useful (r := r) (ρ := ρ) (A := A) (U := U))
(hρ : 0 < ρ) (b : W) (hb : b.val.val = (1 : Assignment slots → F2)) :
(law slots H other labeling W s hs useful w).probability
(fun q => decide (q (b : H) = 1)) = 1 := by
rw [law, affineLaw_probability]
have hevent : (fun q : PulledColumnSpace.Candidates W w.columnSpace
(center slots H other labeling W s hs useful w) => decide (q.val (b : H) = 1)) =
fun _ => true := by
funext q
exact decide_eq_true (candidate_one slots H other labeling W s hs useful hW w hρ b hb q)
rw [hevent, FiniteDistribution.probability_true]
theorem success_lower (w : DenseWitnessRealization.RepresentativeWitness
slots H other labeling W s useful (r := r) (ρ := ρ) (A := A) (U := U))
(event : Module.Dual F2 H → Bool)
(witness : ∃ q : PulledColumnSpace.Candidates W w.columnSpace
(center slots H other labeling W s hs useful w), event q.val = true) :
1 / (2 : ℝ) ^ r ≤
(law slots H other labeling W s hs useful w).probability event :=
affineLaw_success_lower W w.columnSpace _ w.column_count event witness
def adviceLaw (r : Nat) (ρ : ℝ) (A : ManyGoodRows.RowMap K r)
(U : Module.Dual F2 (H ⧸ W) →ₗ[F2] (Fin r → F2)) :
FiniteDistribution (Module.Dual F2 H) :=
if hgood : ManyGoodRows.GoodRow
(RepresentativeMatrixTable.partialTable slots H other labeling W s useful) r ρ A U then
law slots H other labeling W s hs useful
(ManyGoodRows.selectWitness
(RepresentativeMatrixTable.partialTable slots H other labeling W s useful) r ρ A U hgood)
else
affineLaw W ⊥ (RepresentativeMatrixTable.correctionFunctional slots H other W s hs
(CanonicalMatrixTable.response slots H other labeling (0 : CanonicalMatrixTable.Matrix
(K := K) slots H)).2)
theorem adviceLaw_of_good (r : Nat) (ρ : ℝ) (A : ManyGoodRows.RowMap K r)
(U : Module.Dual F2 (H ⧸ W) →ₗ[F2] (Fin r → F2))
(hgood : ManyGoodRows.GoodRow
(RepresentativeMatrixTable.partialTable slots H other labeling W s useful) r ρ A U) :
adviceLaw slots H other labeling W s hs useful r ρ A U =
law slots H other labeling W s hs useful
(ManyGoodRows.selectWitness
(RepresentativeMatrixTable.partialTable slots H other labeling W s useful)
r ρ A U hgood) := by
simp only [adviceLaw, dite_eq_left hgood]
theorem adviceLaw_normalized_on_one
(hW : RepresentativeMatrixTable.Determined slots H other W)
(r : Nat) (ρ : ℝ) (hρ : 0 < ρ) (A : ManyGoodRows.RowMap K r)
(U : Module.Dual F2 (H ⧸ W) →ₗ[F2] (Fin r → F2))
(b : W) (hb : b.val.val = (1 : Assignment slots → F2)) :
(adviceLaw slots H other labeling W s hs useful r ρ A U).probability
(fun q => decide (q (b : H) = 1)) = 1 := by
by_cases hgood : ManyGoodRows.GoodRow
(RepresentativeMatrixTable.partialTable slots H other labeling W s useful) r ρ A U
· rw [adviceLaw_of_good slots H other labeling W s hs useful r ρ A U hgood]
exact law_normalized_on_one slots H other labeling W s hs useful hW _ hρ b hb
· simp only [adviceLaw, dite_eq_right hgood]
apply affineLaw_probability_eq_one
intro q
apply decide_eq_true
rw [PulledColumnSpace.candidate_apply_known]
obtain ⟨x, _, hx⟩ := CanonicalMatrixTable.response_realized slots H other labeling
(0 : CanonicalMatrixTable.Matrix (K := K) slots H)
rw [← hx]
simpa only [add_zero] using RepresentativeDecoder.coset_one_at_image
slots H other W s hs hW x 0 W.dualAnnihilator.zero_mem b hb
end
end PerfectCompleteness.LeftDecoder
end OAI