import Mathlib.Algebra.BigOperators.Expect import Mathlib.Data.Fintype.BigOperators import Mathlib.Basic.Real.Basic import Mathlib.LinearAlgebra.Basis.VectorSpace import Mathlib.LinearAlgebra.FreeModule.Finite.Matrix import Mathlib.Tactic.Positivity import Mathlib.Tactic.Ring import Std import OAI.Computability.UniqueGames.Gadgets.AdaptivePathsLemmas import OAI.Computability.UniqueGames.Soundness.ExpectationComparisonLemmas namespace OAI section /-! The exact combined-map density formula of Lemma 6.3 for genuine finite-dimensional binary linear maps. Subspaces are supplied as kernels; their annihilator counts and all normalized first and second moments are proved, not assumed. -/ namespace UniqueGamesTheorem.Soundness.LinearMapDensity open scoped BigOperators universe u v w variable {E : Type u} {R : Type v} variable [AddCommGroup E] [Module (ZMod 2) E] [FiniteDimensional (ZMod 2) E] variable [AddCommGroup R] [Module (ZMod 2) R] [FiniteDimensional (ZMod 2) R] noncomputable def uniformMean {α : Type*} [Fintype α] (f : α → ℝ) : ℝ := Finset.expect Finset.univ f theorem uniformMean_eq_sum_div_card {α : Type*} [Fintype α] (f : α → ℝ) : uniformMean f = (∑ a, f a) / (Fintype.card α : ℝ) := by simp [uniformMean, Finset.expect_eq_sum_div_card] theorem uniformMean_comm {α β : Type*} [Fintype α] [Fintype β] (f : α → β → ℝ) : uniformMean (fun a => uniformMean (f a)) = uniformMean (fun b => uniformMean (fun a => f a b)) := Finset.expect_comm _ _ _ theorem uniformMean_const_mul {α : Type*} [Fintype α] (c : ℝ) (f : α → ℝ) : uniformMean (fun a => c * f a) = c * uniformMean f := (Finset.mul_expect _ _ _).symm theorem uniformMean_const {α : Type*} [Fintype α] [Nonempty α] (c : ℝ) : uniformMean (fun _ : α => c) = c := Fintype.expect_const _ omit [FiniteDimensional (ZMod 2) E] [FiniteDimensional (ZMod 2) R] in theorem restriction_surjective (K : Submodule (ZMod 2) E) : Function.Surjective (LinearMap.domRestrict' (M₂ := R) K) := by intro f obtain ⟨g, hg⟩ := f.exists_extend exact ⟨g, hg⟩ omit [FiniteDimensional (ZMod 2) E] [FiniteDimensional (ZMod 2) R] in theorem restriction_zero_iff (K : Submodule (ZMod 2) E) (M : E →ₗ[ZMod 2] R) : LinearMap.domRestrict' K M = 0 ↔ K ≤ M.ker := by constructor · intro h x hx have := LinearMap.congr_fun h (⟨x, hx⟩ : K) exact this · intro h ext x exact h x.property /-- Pulling back a map along a projection produces a map annihilating its kernel. -/ def pullbackMap {V : Type*} [AddCommGroup V] [Module (ZMod 2) V] (π : E →ₗ[ZMod 2] V) (B : V →ₗ[ZMod 2] R) : {M : E →ₗ[ZMod 2] R // π.ker ≤ M.ker} := ⟨B.comp π, by intro x hx change B (π x) = 0 change π x = 0 at hx rw [hx, map_zero]⟩ omit [FiniteDimensional (ZMod 2) E] [FiniteDimensional (ZMod 2) R] in /-- The pullback map is a bijection onto the genuine kernel-annihilator event. This connects the density calculation to uniform maps on the partner space. -/ theorem pullbackMap_bijective {V : Type*} [AddCommGroup V] [Module (ZMod 2) V] (π : E →ₗ[ZMod 2] V) (hπ : Function.Surjective π) : Function.Bijective (pullbackMap (R := R) π) := by constructor · intro B C h ext y obtain ⟨x, rfl⟩ := hπ y exact LinearMap.congr_fun (congrArg Subtype.val h) x · intro M obtain ⟨s, hs⟩ := π.exists_rightInverse_of_surjective (LinearMap.range_eq_top.mpr hπ) refine ⟨M.val.comp s, ?_⟩ apply Subtype.ext ext x change M.val (s (π x)) = M.val x have hx : x - s (π x) ∈ π.ker := by have hsx := LinearMap.congr_fun hs (π x) change π (s (π x)) = π x at hsx change π (x - s (π x)) = 0 rw [map_sub, hsx, sub_self] have hz : M.val (x - s (π x)) = 0 := M.property hx rw [map_sub] at hz exact (sub_eq_zero.mp hz).symm theorem annihilator_count [Fintype (E →ₗ[ZMod 2] R)] (K : Submodule (ZMod 2) E) : Nat.card {M : E →ₗ[ZMod 2] R // K ≤ M.ker} * 2 ^ (Module.finrank (ZMod 2) R * Module.finrank (ZMod 2) K) = Fintype.card (E →ₗ[ZMod 2] R) := by classical let restriction := LinearMap.domRestrict' (M₂ := R) K have h := Gadget.LinearKernelCount.zero_event_card_mul_pow_rank restriction have hrange : restriction.range = ⊤ := LinearMap.range_eq_top.mpr (restriction_surjective K) have hcard : Nat.card {M : E →ₗ[ZMod 2] R // restriction M = 0} = Nat.card {M : E →ₗ[ZMod 2] R // K ≤ M.ker} := Nat.card_congr (Equiv.subtypeEquivRight (restriction_zero_iff K)) rw [hcard, hrange, finrank_top, Module.finrank_linearMap] at h simpa only [Nat.card_eq_fintype_card, Nat.mul_comm] using h noncomputable def kernelDensity (K : Submodule (ZMod 2) E) (M : E →ₗ[ZMod 2] R) : ℝ := by classical exact if K ≤ M.ker then (2 : ℝ) ^ (Module.finrank (ZMod 2) R * Module.finrank (ZMod 2) K) else 0 theorem kernelDensity_mean [Fintype (E →ₗ[ZMod 2] R)] (K : Submodule (ZMod 2) E) : uniformMean (kernelDensity (R := R) K) = 1 := by classical have hc := annihilator_count (R := R) K have hreal : (Nat.card {M : E →ₗ[ZMod 2] R // K ≤ M.ker} : ℝ) * (2 : ℝ) ^ (Module.finrank (ZMod 2) R * Module.finrank (ZMod 2) K) = Fintype.card (E →ₗ[ZMod 2] R) := by exact_mod_cast hc rw [uniformMean_eq_sum_div_card] have hsum : (∑ M : E →ₗ[ZMod 2] R, kernelDensity K M) = (Nat.card {M : E →ₗ[ZMod 2] R // K ≤ M.ker} : ℝ) * (2 : ℝ) ^ (Module.finrank (ZMod 2) R * Module.finrank (ZMod 2) K) := by simp [kernelDensity, Nat.card_eq_fintype_card, Fintype.card_subtype, ← Finset.sum_filter] rw [hsum, hreal] exact div_self (by exact_mod_cast Fintype.card_ne_zero) omit [FiniteDimensional (ZMod 2) R] in /-- Pointwise overlap formula, using the actual dimension formula for subspaces. -/ theorem kernelDensity_product (K L : Submodule (ZMod 2) E) (M : E →ₗ[ZMod 2] R) : kernelDensity K M * kernelDensity L M = (2 : ℝ) ^ (Module.finrank (ZMod 2) R * Module.finrank (ZMod 2) ↥(K ⊓ L : Submodule (ZMod 2) E)) * kernelDensity (K ⊔ L) M := by classical have hd := K.finrank_sup_add_finrank_inf_eq L have hexp : Module.finrank (ZMod 2) R * Module.finrank (ZMod 2) K + Module.finrank (ZMod 2) R * Module.finrank (ZMod 2) L = Module.finrank (ZMod 2) R * Module.finrank (ZMod 2) ↥(K ⊓ L : Submodule (ZMod 2) E) + Module.finrank (ZMod 2) R * Module.finrank (ZMod 2) ↥(K ⊔ L : Submodule (ZMod 2) E) := by have hm := congrArg (fun n => Module.finrank (ZMod 2) R * n) hd.symm simpa [Nat.mul_add, Nat.add_comm] using hm have hp : (2 : ℝ) ^ (Module.finrank (ZMod 2) R * Module.finrank (ZMod 2) K) * 2 ^ (Module.finrank (ZMod 2) R * Module.finrank (ZMod 2) L) = (2 : ℝ) ^ (Module.finrank (ZMod 2) R * Module.finrank (ZMod 2) ↥(K ⊓ L : Submodule (ZMod 2) E)) * 2 ^ (Module.finrank (ZMod 2) R * Module.finrank (ZMod 2) ↥(K ⊔ L : Submodule (ZMod 2) E)) := by rw [← pow_add, ← pow_add, hexp] by_cases hK : K ≤ M.ker <;> by_cases hL : L ≤ M.ker <;> simp [kernelDensity, sup_le_iff, hK, hL, hp] /-- The two-kernel second-moment identity for the uniform law on all genuine linear maps E→R. No annihilator probability is a hypothesis. -/ theorem kernelDensity_pair_mean [Fintype (E →ₗ[ZMod 2] R)] (K L : Submodule (ZMod 2) E) : uniformMean (fun M : E →ₗ[ZMod 2] R => kernelDensity K M * kernelDensity L M) = (2 : ℝ) ^ (Module.finrank (ZMod 2) R * Module.finrank (ZMod 2) ↥(K ⊓ L : Submodule (ZMod 2) E)) := by simp_rw [kernelDensity_product] rw [uniformMean_const_mul, kernelDensity_mean, mul_one] noncomputable def mixtureDensity {Partner : Type w} [Fintype Partner] (kernels : Partner → Submodule (ZMod 2) E) (M : E →ₗ[ZMod 2] R) : ℝ := uniformMean (fun p => kernelDensity (kernels p) M) theorem mixtureDensity_mean {Partner : Type w} [Fintype Partner] [Nonempty Partner] [Fintype (E →ₗ[ZMod 2] R)] (kernels : Partner → Submodule (ZMod 2) E) : uniformMean (mixtureDensity (R := R) kernels) = 1 := by unfold mixtureDensity rw [uniformMean_comm] simp_rw [kernelDensity_mean] exact uniformMean_const 1 /-- Lemma 6.3's exact second-moment identity for an arbitrary finite uniform list of genuine kernel subspaces. The two partner indices are independent because the right side is an iterated uniform expectation. -/ theorem mixtureDensity_second_moment {Partner : Type w} [Fintype Partner] [Fintype (E →ₗ[ZMod 2] R)] (kernels : Partner → Submodule (ZMod 2) E) : uniformMean (fun M : E →ₗ[ZMod 2] R => (mixtureDensity kernels M) ^ 2) = uniformMean (fun p => uniformMean (fun q => (2 : ℝ) ^ (Module.finrank (ZMod 2) R * Module.finrank (ZMod 2) ↥(kernels p ⊓ kernels q : Submodule (ZMod 2) E)))) := by have hexpand (M : E →ₗ[ZMod 2] R) : (mixtureDensity kernels M) ^ 2 = uniformMean (fun p => uniformMean (fun q => kernelDensity (kernels p) M * kernelDensity (kernels q) M)) := by simpa [mixtureDensity, uniformMean, pow_two] using (Fintype.expect_mul_expect (fun p => kernelDensity (kernels p) M) (fun q => kernelDensity (kernels q) M)) simp_rw [hexpand] rw [uniformMean_comm] congr 1 funext p rw [uniformMean_comm] simp_rw [kernelDensity_pair_mean] theorem kernelDensity_weighted_mean [Fintype (E →ₗ[ZMod 2] R)] (K : Submodule (ZMod 2) E) [Fintype {M : E →ₗ[ZMod 2] R // K ≤ M.ker}] (H : (E →ₗ[ZMod 2] R) → ℝ) : uniformMean (fun M => kernelDensity K M * H M) = uniformMean (fun M : {M : E →ₗ[ZMod 2] R // K ≤ M.ker} => H M.val) := by classical let c : ℝ := (2 : ℝ) ^ (Module.finrank (ZMod 2) R * Module.finrank (ZMod 2) K) have hc : c ≠ 0 := by dsimp [c]; positivity have hcount : Fintype.card {M : E →ₗ[ZMod 2] R // K ≤ M.ker} * 2 ^ (Module.finrank (ZMod 2) R * Module.finrank (ZMod 2) K) = Fintype.card (E →ₗ[ZMod 2] R) := by simpa only [Nat.card_eq_fintype_card] using annihilator_count (R := R) K have hr : (Fintype.card {M : E →ₗ[ZMod 2] R // K ≤ M.ker} : ℝ) * c = (Fintype.card (E →ₗ[ZMod 2] R) : ℝ) := by dsimp [c] exact_mod_cast hcount have hdenom : (Fintype.card (E →ₗ[ZMod 2] R) : ℝ) = c * (Fintype.card {M : E →ₗ[ZMod 2] R // K ≤ M.ker} : ℝ) := by simpa only [mul_comm] using hr.symm have hsum : (∑ M : E →ₗ[ZMod 2] R, kernelDensity K M * H M) = c * ∑ M : {M : E →ₗ[ZMod 2] R // K ≤ M.ker}, H M.val := by simp only [kernelDensity, ite_mul, zero_mul] rw [← Finset.sum_filter, ← Finset.mul_sum] congr 1 exact Finset.sum_subtype _ (fun M => by simp) H rw [uniformMean_eq_sum_div_card, uniformMean_eq_sum_div_card, hsum, hdenom] exact mul_div_mul_left _ _ hc theorem pullback_uniformMean {V : Type*} [AddCommGroup V] [Module (ZMod 2) V] [Fintype (E →ₗ[ZMod 2] R)] [Fintype (V →ₗ[ZMod 2] R)] (π : E →ₗ[ZMod 2] V) (hπ : Function.Surjective π) (H : (E →ₗ[ZMod 2] R) → ℝ) : uniformMean (fun B : V →ₗ[ZMod 2] R => H (B.comp π)) = uniformMean (fun M => kernelDensity π.ker M * H M) := by classical rw [kernelDensity_weighted_mean] exact Fintype.expect_bijective (pullbackMap (R := R) π) (pullbackMap_bijective (R := R) π hπ) _ _ (fun _ => rfl) theorem mixture_pullback_uniformMean {Partner : Type*} [Fintype Partner] {V : Partner → Type*} [∀ p, AddCommGroup (V p)] [∀ p, Module (ZMod 2) (V p)] [Fintype (E →ₗ[ZMod 2] R)] [∀ p, Fintype (V p →ₗ[ZMod 2] R)] (π : ∀ p, E →ₗ[ZMod 2] V p) (hπ : ∀ p, Function.Surjective (π p)) (H : (E →ₗ[ZMod 2] R) → ℝ) : uniformMean (fun p => uniformMean (fun B : V p →ₗ[ZMod 2] R => H (B.comp (π p)))) = uniformMean (fun M => mixtureDensity (fun p => (π p).ker) M * H M) := by have hp (p : Partner) : uniformMean (fun B : V p →ₗ[ZMod 2] R => H (B.comp (π p))) = uniformMean (fun M : E →ₗ[ZMod 2] R => kernelDensity (π p).ker M * H M) := pullback_uniformMean (π p) (hπ p) H simp_rw [hp] rw [uniformMean_comm] congr 1 funext M exact (Finset.expect_mul Finset.univ (fun p => kernelDensity (π p).ker M) (H M)).symm end UniqueGamesTheorem.Soundness.LinearMapDensity end section namespace UniqueGamesTheorem.Soundness.PartnerProjection inductive Slot where | first | second | third deriving DecidableEq, Repr structure Triple where first : Bool second : Bool third : Bool deriving DecidableEq, Repr def zeroTriple : Triple := ⟨false, false, false⟩ def parity (x : Triple) : Bool := (x.first.xor x.second).xor x.third def addTriple (x y : Triple) : Triple := ⟨x.first.xor y.first, x.second.xor y.second, x.third.xor y.third⟩ theorem parity_add (x y : Triple) : parity (addTriple x y) = (parity x).xor (parity y) := by rcases x with ⟨a, b, c⟩ rcases y with ⟨d, e, f⟩ cases a <;> cases b <;> cases c <;> cases d <;> cases e <;> cases f <;> decide theorem and_xor (b h h' : Bool) : (b && h).xor (b && h') = (b && h.xor h') := by cases b <;> cases h <;> cases h' <;> decide def retained (s : Slot) (x : Triple) : Bool := match s with | .first => x.first | .second => x.second | .third => x.third def freeBit (s : Slot) (x : Triple) : Bool := match s with | .first => x.second | .second => x.first | .third => x.first theorem retained_add (s : Slot) (x y : Triple) : retained s (addTriple x y) = (retained s x).xor (retained s y) := by cases s <;> rfl theorem freeBit_add (s : Slot) (x y : Triple) : freeBit s (addTriple x y) = (freeBit s x).xor (freeBit s y) := by cases s <;> rfl /-- Reconstruct a parity-constrained triple from its retained bit and one free bit. -/ def complete (s : Slot) (p r f : Bool) : Triple := match s with | .first => ⟨r, f, (p.xor r).xor f⟩ | .second => ⟨f, r, (p.xor r).xor f⟩ | .third => ⟨f, (p.xor r).xor f, r⟩ theorem parity_complete (s : Slot) (p r f : Bool) : parity (complete s p r f) = p := by cases s <;> cases p <;> cases r <;> cases f <;> decide theorem retained_complete (s : Slot) (p r f : Bool) : retained s (complete s p r f) = r := by cases s <;> rfl theorem freeBit_complete (s : Slot) (p r f : Bool) : freeBit s (complete s p r f) = f := by cases s <;> rfl theorem complete_coordinates (s : Slot) (x : Triple) : complete s (parity x) (retained s x) (freeBit s x) = x := by rcases x with ⟨a, b, c⟩ cases s <;> cases a <;> cases b <;> cases c <;> decide theorem retained_zero (s : Slot) : retained s zeroTriple = false := by cases s <;> rfl theorem freeBit_zero (s : Slot) : freeBit s zeroTriple = false := by cases s <;> rfl theorem complete_zero (s : Slot) : complete s false false false = zeroTriple := by cases s <;> rfl theorem complete_kernel_add (s : Slot) (a b : Bool) : complete s false false (a.xor b) = addTriple (complete s false false a) (complete s false false b) := by cases s <;> cases a <;> cases b <;> decide variable {Position : Type} (rhs active : Position → Bool) (slot : Position → Slot) structure SourcePoint where homogeneous : Bool coordinates : Position → Triple valid : ∀ j, parity (coordinates j) = (rhs j && homogeneous) structure PartnerPoint where homogeneous : Bool full : Position → Triple single : Position → Bool full_zero : ∀ j, active j = true → full j = zeroTriple full_valid : ∀ j, active j = false → parity (full j) = (rhs j && homogeneous) single_zero : ∀ j, active j = false → single j = false theorem source_ext {x y : SourcePoint rhs} (hh : x.homogeneous = y.homogeneous) (hx : x.coordinates = y.coordinates) : x = y := by cases x cases y cases hh cases hx rfl theorem partner_ext {x y : PartnerPoint rhs active} (hh : x.homogeneous = y.homogeneous) (hf : x.full = y.full) (hs : x.single = y.single) : x = y := by cases x cases y cases hh cases hf cases hs rfl def project (x : SourcePoint rhs) : PartnerPoint rhs active where homogeneous := x.homogeneous full := fun j => if active j then zeroTriple else x.coordinates j single := fun j => if active j then retained (slot j) (x.coordinates j) else false full_zero := by intro j hj; simp [hj] full_valid := by intro j hj; simpa [hj] using x.valid j single_zero := by intro j hj; simp [hj] /-- The constructive preimage used in Lemma 6.1: choose the free bit to be zero. -/ def lift (y : PartnerPoint rhs active) : SourcePoint rhs where homogeneous := y.homogeneous coordinates := fun j => if active j then complete (slot j) (rhs j && y.homogeneous) (y.single j) false else y.full j valid := by intro j cases hj : active j with | false => simpa [hj] using y.full_valid j hj | true => simp [parity_complete] theorem project_lift (y : PartnerPoint rhs active) : project rhs active slot (lift rhs active slot y) = y := by apply partner_ext · rfl · funext j cases hj : active j with | false => simp [project, lift, hj] | true => simpa [project, hj] using (y.full_zero j hj).symm · funext j cases hj : active j with | false => simpa [project, hj] using (y.single_zero j hj).symm | true => simp [project, lift, hj, retained_complete] theorem project_surjective : ∀ y : PartnerPoint rhs active, ∃ x : SourcePoint rhs, project rhs active slot x = y := by intro y exact ⟨lift rhs active slot y, project_lift rhs active slot y⟩ theorem homogeneous_preserved (x : SourcePoint rhs) : (project rhs active slot x).homogeneous = x.homogeneous := rfl def zeroSource : SourcePoint rhs where homogeneous := false coordinates := fun _ => zeroTriple valid := by intro j; simp [parity, zeroTriple] def zeroPartner : PartnerPoint rhs active where homogeneous := false full := fun _ => zeroTriple single := fun _ => false full_zero := by intros; rfl full_valid := by intros; simp [parity, zeroTriple] single_zero := by intros; rfl def addSource (x y : SourcePoint rhs) : SourcePoint rhs where homogeneous := x.homogeneous.xor y.homogeneous coordinates := fun j => addTriple (x.coordinates j) (y.coordinates j) valid := by intro j rw [parity_add, x.valid, y.valid, and_xor] def addPartner (x y : PartnerPoint rhs active) : PartnerPoint rhs active where homogeneous := x.homogeneous.xor y.homogeneous full := fun j => addTriple (x.full j) (y.full j) single := fun j => (x.single j).xor (y.single j) full_zero := by intro j hj rw [x.full_zero j hj, y.full_zero j hj] rfl full_valid := by intro j hj rw [parity_add, x.full_valid j hj, y.full_valid j hj, and_xor] single_zero := by intro j hj rw [x.single_zero j hj, y.single_zero j hj] rfl /-- The projection preserves F₂ addition, as well as zero. -/ theorem project_add (x y : SourcePoint rhs) : project rhs active slot (addSource rhs x y) = addPartner rhs active (project rhs active slot x) (project rhs active slot y) := by apply partner_ext · rfl · funext j cases hj : active j <;> simp [project, addSource, addPartner, hj, addTriple, zeroTriple] · funext j cases hj : active j <;> simp [project, addSource, addPartner, hj, retained_add] theorem project_zero : project rhs active slot (zeroSource rhs) = zeroPartner rhs active := by apply partner_ext · rfl · funext j cases active j <;> simp [project, zeroSource, zeroPartner] · funext j cases active j <;> simp [project, zeroSource, zeroPartner, retained_zero] def InKernel (x : SourcePoint rhs) : Prop := project rhs active slot x = zeroPartner rhs active theorem kernel_characterization (x : SourcePoint rhs) : InKernel rhs active slot x ↔ x.homogeneous = false ∧ (∀ j, active j = false → x.coordinates j = zeroTriple) ∧ (∀ j, active j = true → retained (slot j) (x.coordinates j) = false) := by constructor · intro hx refine ⟨congrArg PartnerPoint.homogeneous hx, ?_, ?_⟩ · intro j hj have h := congrArg (fun y : PartnerPoint rhs active => y.full j) hx simpa [project, zeroPartner, hj] using h · intro j hj have h := congrArg (fun y : PartnerPoint rhs active => y.single j) hx simpa [project, zeroPartner, hj] using h · rintro ⟨hh, hf, hs⟩ apply partner_ext · exact hh · funext j cases hj : active j with | false => simpa [project, zeroPartner, hj] using hf j hj | true => simp [project, zeroPartner, hj] · funext j cases hj : active j with | false => simp [project, zeroPartner, hj] | true => simpa [project, zeroPartner, hj] using hs j hj /-- One coefficient bit at every active position; all other coefficients vanish. -/ structure ActiveBits where coefficient : Position → Bool inactive_zero : ∀ j, active j = false → coefficient j = false theorem activeBits_ext {a b : ActiveBits active} (h : a.coefficient = b.coefficient) : a = b := by cases a cases b cases h rfl def addActiveBits (a b : ActiveBits active) : ActiveBits active where coefficient := fun j => (a.coefficient j).xor (b.coefficient j) inactive_zero := by intro j hj rw [a.inactive_zero j hj, b.inactive_zero j hj] rfl def kernelPoint (a : ActiveBits active) : SourcePoint rhs where homogeneous := false coordinates := fun j => complete (slot j) false false (a.coefficient j) valid := by intro j; simp [parity_complete] theorem kernelPoint_add (a b : ActiveBits active) : kernelPoint rhs active slot (addActiveBits active a b) = addSource rhs (kernelPoint rhs active slot a) (kernelPoint rhs active slot b) := by apply source_ext · rfl · funext j exact complete_kernel_add _ _ _ theorem kernelPoint_mem (a : ActiveBits active) : InKernel rhs active slot (kernelPoint rhs active slot a) := by apply (kernel_characterization rhs active slot _).2 refine ⟨rfl, ?_, ?_⟩ · intro j hj simp [kernelPoint, a.inactive_zero j hj, complete_zero] · intro j _ exact retained_complete _ _ _ _ def kernelCoefficients (x : SourcePoint rhs) (hx : InKernel rhs active slot x) : ActiveBits active where coefficient := fun j => freeBit (slot j) (x.coordinates j) inactive_zero := by intro j hj have hf := (kernel_characterization rhs active slot x).1 hx |>.2.1 j hj rw [hf, freeBit_zero] theorem kernelPoint_coefficients (x : SourcePoint rhs) (hx : InKernel rhs active slot x) : kernelPoint rhs active slot (kernelCoefficients rhs active slot x hx) = x := by have hc := (kernel_characterization rhs active slot x).1 hx apply source_ext · exact hc.1.symm · funext j have hp : parity (x.coordinates j) = false := by rw [x.valid j, hc.1] simp have hr : retained (slot j) (x.coordinates j) = false := by cases hj : active j with | false => rw [hc.2.1 j hj, retained_zero] | true => exact hc.2.2 j hj simpa [kernelPoint, kernelCoefficients, hp, hr] using complete_coordinates (slot j) (x.coordinates j) theorem coefficients_kernelPoint (a : ActiveBits active) : kernelCoefficients rhs active slot (kernelPoint rhs active slot a) (kernelPoint_mem rhs active slot a) = a := by apply activeBits_ext active funext j exact freeBit_complete _ _ _ _ theorem kernelPoint_injective (a b : ActiveBits active) (h : kernelPoint rhs active slot a = kernelPoint rhs active slot b) : a = b := by have hc : a.coefficient = b.coefficient := by funext j have he := congrArg (fun x : SourcePoint rhs => freeBit (slot j) (x.coordinates j)) h simpa [kernelPoint, freeBit_complete] using he cases a cases b cases hc rfl /-- Every kernel vector is uniquely determined by one bit per active position. -/ theorem kernel_unique_coefficients (x : SourcePoint rhs) (hx : InKernel rhs active slot x) : ∃ a : ActiveBits active, kernelPoint rhs active slot a = x ∧ ∀ b : ActiveBits active, kernelPoint rhs active slot b = x → b = a := by refine ⟨kernelCoefficients rhs active slot x hx, kernelPoint_coefficients rhs active slot x hx, ?_⟩ intro b hb apply kernelPoint_injective rhs active slot exact hb.trans (kernelPoint_coefficients rhs active slot x hx).symm /-- Extend an arbitrary function on the active positions by zero. -/ def extendActive (f : {j : Position // active j = true} → Bool) : ActiveBits active where coefficient := fun j => if hj : active j = true then f ⟨j, hj⟩ else false inactive_zero := by intro j hj; simp [hj] theorem kernel_realizes_active (f : {j : Position // active j = true} → Bool) : ∃ x : SourcePoint rhs, InKernel rhs active slot x ∧ ∀ j (hj : active j = true), freeBit (slot j) (x.coordinates j) = f ⟨j, hj⟩ := by refine ⟨kernelPoint rhs active slot (extendActive active f), kernelPoint_mem rhs active slot _, ?_⟩ intro j hj simp [kernelPoint, freeBit_complete, extendActive, hj] theorem kernel_determined_by_active (x y : SourcePoint rhs) (hx : InKernel rhs active slot x) (hy : InKernel rhs active slot y) (hfree : ∀ j, active j = true → freeBit (slot j) (x.coordinates j) = freeBit (slot j) (y.coordinates j)) : x = y := by have hc : kernelCoefficients rhs active slot x hx = kernelCoefficients rhs active slot y hy := by apply activeBits_ext active funext j cases hj : active j with | false => simp [kernelCoefficients, (kernel_characterization rhs active slot x).1 hx |>.2.1 j hj, (kernel_characterization rhs active slot y).1 hy |>.2.1 j hj] | true => exact hfree j hj have hp := congrArg (kernelPoint rhs active slot) hc simpa only [kernelPoint_coefficients] using hp /-- The final assertion of Lemma 6.1, including arbitrary retained indices. -/ theorem disjoint_kernels_intersection_zero (active' : Position → Bool) (slot' : Position → Slot) (hdisjoint : ∀ j, active j = true → active' j = false) (x : SourcePoint rhs) (hx : InKernel rhs active slot x) (hx' : InKernel rhs active' slot' x) : x = zeroSource rhs := by have h := (kernel_characterization rhs active slot x).1 hx have h' := (kernel_characterization rhs active' slot' x).1 hx' apply source_ext · exact h.1 · funext j cases hj : active j with | false => exact h.2.1 j hj | true => exact h'.2.1 j (hdisjoint j hj) end UniqueGamesTheorem.Soundness.PartnerProjection end section /-! This bridge connects the concrete partner projection to the actual equation/name predicate of the incidence game. It uses no probabilistic or analytic hypotheses. -/ namespace UniqueGamesTheorem.Soundness.ConcreteExtraction open PartnerProjection IncidenceExtraction def slotIndex : PartnerProjection.Slot → Fin 3 | .first => 0 | .second => 1 | .third => 2 def tripleCoordinates (x : PartnerProjection.Triple) : IncidenceExtraction.Triple := fun i => if i = 0 then x.first else if i = 1 then x.second else x.third theorem parity_coordinates (x : PartnerProjection.Triple) : IncidenceExtraction.xorTriple (tripleCoordinates x) = PartnerProjection.parity x := rfl theorem retained_coordinates (x : PartnerProjection.Triple) (i : PartnerProjection.Slot) : tripleCoordinates x (slotIndex i) = PartnerProjection.retained i x := by cases i <;> rfl def fullPoint {P : Type} {rhs : P → Bool} (x : PartnerProjection.SourcePoint rhs) : IncidenceExtraction.FullPoint P := ⟨x.homogeneous, fun j => tripleCoordinates (x.coordinates j)⟩ def partnerPoint {P : Type} {rhs active : P → Bool} (x : PartnerProjection.PartnerPoint rhs active) : IncidenceExtraction.PartnerPoint P := ⟨x.homogeneous, x.single⟩ /-- Concrete projection acceptance implies the coordinate-level acceptance relation used to extract a repeated incidence strategy. -/ theorem actual_projection_accepts {P O N : Type} (g : IncidenceExtraction.Incidence O N) (u : P → O) (active : P → Bool) (slot : P → PartnerProjection.Slot) (x : PartnerProjection.SourcePoint (fun j => g.rhs (u j))) (y : PartnerProjection.PartnerPoint (fun j => g.rhs (u j)) active) (hone : x.homogeneous = true) (hproject : PartnerProjection.project (fun j => g.rhs (u j)) active slot x = y) : IncidenceExtraction.AugmentedAccepts g u (fun j => active j = true) (fun j => slotIndex (slot j)) (fullPoint x) (partnerPoint y) := by subst y constructor · intro j exact x.valid j constructor · exact hone constructor · exact hone intro j hj change tripleCoordinates (x.coordinates j) (slotIndex (slot j)) = (if active j then PartnerProjection.retained (slot j) (x.coordinates j) else false) rw [hj] exact retained_coordinates _ _ theorem actual_projection_implies_named_repetition {P R O N : Type} (g : IncidenceExtraction.Incidence O N) (u : P → O) (active : P → Bool) (slot : P → PartnerProjection.Slot) (embed : R → P) (x : PartnerProjection.SourcePoint (fun j => g.rhs (u j))) (y : PartnerProjection.PartnerPoint (fun j => g.rhs (u j)) active) (hinside : ∀ r, active (embed r) = true) (hone : x.homogeneous = true) (hproject : PartnerProjection.project (fun j => g.rhs (u j)) active slot x = y) : ∀ r, g.namedAccepts (u (embed r)) (g.name (u (embed r)) (slotIndex (slot (embed r)))) (tripleCoordinates (x.coordinates (embed r))) (y.single (embed r)) := by exact IncidenceExtraction.augmented_accepts_implies_named_repeated_accepts g u (fun j => active j = true) (fun j => slotIndex (slot j)) embed (fullPoint x) (partnerPoint y) hinside (actual_projection_accepts g u active slot x y hone hproject) end UniqueGamesTheorem.Soundness.ConcreteExtraction end section /-! Finite cardinality of the concrete projection kernel. This packages the explicit bit parametrization of Lemma 6.1 as a genuine equivalence, then counts its points. No vector-space dimension formula is assumed. -/ namespace UniqueGamesTheorem.Soundness.KernelCardinality open PartnerProjection variable {P : Type} (rhs active : P → Bool) (slot : P → Slot) abbrev Kernel := {x : SourcePoint rhs // InKernel rhs active slot x} /-- Exactly one freely chosen bit per active position parametrizes the kernel. -/ def kernelEquiv : Kernel rhs active slot ≃ ({j : P // active j = true} → Bool) where toFun x j := freeBit (slot j.val) (x.val.coordinates j.val) invFun f := ⟨kernelPoint rhs active slot (extendActive active f), kernelPoint_mem rhs active slot _⟩ left_inv x := by apply Subtype.ext apply kernel_determined_by_active rhs active slot · exact kernelPoint_mem rhs active slot _ · exact x.property · intro j hj simp [kernelPoint, freeBit_complete, extendActive, hj] right_inv f := by funext j simp [kernelPoint, freeBit_complete, extendActive, j.property] noncomputable instance kernelFintype [Fintype P] : Fintype (Kernel rhs active slot) := by classical exact Fintype.ofEquiv ({j : P // active j = true} → Bool) (kernelEquiv rhs active slot).symm /-- The actual kernel has `2^t` points when there are `t` active positions. -/ theorem kernel_card [Fintype P] : Fintype.card (Kernel rhs active slot) = 2 ^ Fintype.card {j : P // active j = true} := by classical calc Fintype.card (Kernel rhs active slot) = Fintype.card ({j : P // active j = true} → Bool) := Fintype.card_congr (kernelEquiv rhs active slot) _ = _ := by simp theorem kernel_card_of_active_card [Fintype P] (t : Nat) (h : Fintype.card {j : P // active j = true} = t) : Fintype.card (Kernel rhs active slot) = 2 ^ t := by rw [kernel_card, h] end UniqueGamesTheorem.Soundness.KernelCardinality end end OAI