import Mathlib import OAI.Computability.MaxCut.PCP.ClauseVerifier import OAI.Computability.MaxCut.PCP.Folding import OAI.Computability.MaxCut.Games.FiniteNoise namespace OAI /-! Honest completeness of the actual three-query test. Compatible coordinate dictators cancel the two uniform query tables, leaving exactly one noise bit. The finite-tape form uses the proved product-noise pushforward law. -/ noncomputable section namespace MaxCutGames.Foundations.Hastad open scoped BigOperators open MaxCutGames.Reduction.FiniteNoise variable {I J : Type*} [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J] omit [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J] in /-- For compatible honest coordinates, the test parity is precisely the selected noise coordinate, for every individual choice of query tables. -/ theorem dictator_test_parity (π : J → I) (i : I) (j : J) (hπ : π j = i) (f : Cube I) (g μ : Cube J) : (f i ^^ g j ^^ (thirdQuery π f g μ) j) = μ j := by simp only [thirdQuery, cubeXor, hπ] cases f i <;> cases g j <;> cases μ j <;> rfl /-- The product noise law has the specified sign bias in every coordinate. -/ theorem noise_coordinate_sign (ε : ℝ) (j : J) : (∑ μ : Cube J, noiseWeight ε μ * bitSign (μ j)) = 1 - 2 * ε := by have hs : support (coordinateMask j) = {j} := by ext k simp [support, coordinateMask] have h := noise_walsh ε (coordinateMask j) simp_rw [walsh_symm (coordinateMask j), walsh_coordinateMask] at h simpa only [hs, Finset.card_singleton, pow_one] using h /-- The probability of a false noise bit is exactly `1 - ε`. This is an algebraic identity of the explicit product weights, valid for every real ε. -/ theorem noise_coordinate_false (ε : ℝ) (j : J) : (∑ μ : Cube J, noiseWeight ε μ * if μ j then (0 : ℝ) else 1) = 1 - ε := by have hind (b : Bool) : (if b then (0 : ℝ) else 1) = (1 + bitSign b) * (2 : ℝ)⁻¹ := by cases b <;> norm_num [bitSign] have ht (μ : Cube J) : noiseWeight ε μ * (if μ j then (0 : ℝ) else 1) = (noiseWeight ε μ + noiseWeight ε μ * bitSign (μ j)) * (2 : ℝ)⁻¹ := by rw [hind] ring simp_rw [ht] rw [← Finset.sum_mul, Finset.sum_add_distrib, noiseWeight_sum, noise_coordinate_sign] ring /-- Exact honest acceptance for the actual three-bit test. -/ theorem testAcceptance_dictator (ε : ℝ) (π : J → I) (i : I) (j : J) (hπ : π j = i) : testAcceptance ε π (fun f => f i) (fun g => g j) = 1 - ε := by have hg (f : Cube I) (μ : Cube J) : (𝔼 g : Cube J, if f i ^^ g j ^^ (thirdQuery π f g μ) j then (0 : ℝ) else 1) = if μ j then 0 else 1 := by calc _ = 𝔼 _g : Cube J, if μ j then (0 : ℝ) else 1 := by apply Finset.expect_congr rfl intro g _ rw [dictator_test_parity π i j hπ f g μ] _ = _ := Fintype.expect_const _ change (𝔼 f : Cube I, ∑ μ : Cube J, noiseWeight ε μ * (𝔼 g : Cube J, if f i ^^ g j ^^ (thirdQuery π f g μ) j then (0 : ℝ) else 1)) = _ simp_rw [hg] rw [Fintype.expect_const] exact noise_coordinate_false ε j /-- Storing an honest dictator in the actual half-table representation gives the same acceptance after applying the explicit folding correction. -/ theorem testAcceptance_folded_dictators (ε : ℝ) (π : J → I) (i₀ i : I) (j₀ j : J) (hπ : π j = i) : testAcceptance ε π (foldedAnswer i₀ (fun h => h.val i)) (foldedAnswer j₀ (fun h => h.val j)) = 1 - ε := by have hA : foldedAnswer i₀ (fun h => h.val i) = (fun f : Cube I => f i) := funext (foldedAnswer_dictator i₀ i) have hB : foldedAnswer j₀ (fun h => h.val j) = (fun g : Cube J => g j) := funext (foldedAnswer_dictator j₀ j) rw [hA, hB] exact testAcceptance_dictator ε π i j hπ /-- Honest valid local assignments remain dictators after both conditioning and folding, so the concrete conditioned tables have the same completeness. -/ theorem testAcceptance_conditioned_dictators (ε : ℝ) (π : J → I) (validI : I → Bool) (validJ : J → Bool) (i₀ i : {i : I // validI i = true}) (j₀ j : {j : J // validJ j = true}) (hπ : π j.val = i.val) : testAcceptance ε π (conditionedFoldedAnswer validI i₀ (fun h => h.val i)) (conditionedFoldedAnswer validJ j₀ (fun h => h.val j)) = 1 - ε := by have hA : conditionedFoldedAnswer validI i₀ (fun h => h.val i) = (fun f : Cube I => f i.val) := funext (conditionedFoldedAnswer_dictator validI i₀ i) have hB : conditionedFoldedAnswer validJ j₀ (fun h => h.val j) = (fun g : Cube J => g j.val) := funext (conditionedFoldedAnswer_dictator validJ j₀ j) rw [hA, hB] exact testAcceptance_dictator ε π i.val j.val hπ theorem testAcceptance_folded_conditioned_dictators (ε : ℝ) (π : J → I) (i₀ i : I) (valid : J → Bool) (j₀ j : {j : J // valid j = true}) (hπ : π j.val = i) : testAcceptance ε π (foldedAnswer i₀ (fun h => h.val i)) (conditionedFoldedAnswer valid j₀ (fun h => h.val j)) = 1 - ε := by have hA : foldedAnswer i₀ (fun h => h.val i) = (fun f : Cube I => f i) := funext (foldedAnswer_dictator i₀ i) have hB : conditionedFoldedAnswer valid j₀ (fun h => h.val j) = (fun g : Cube J => g j.val) := funext (conditionedFoldedAnswer_dictator valid j₀ j) rw [hA, hB] exact testAcceptance_dictator ε π i j.val hπ /-- The actual test using one uniform `Fin D` tape entry per noise coordinate. -/ def realizedTestAcceptance (D : Nat) (π : J → I) (A : Cube I → Bool) (B : Cube J → Bool) : ℝ := 𝔼 f : Cube I, 𝔼 z : J → Fin D, 𝔼 g : Cube J, if A f ^^ B g ^^ B (thirdQuery π f g (realizedNoise z)) then 0 else 1 /-- Exact equality between the finite uniform tape and the weighted product noise test; no distributional acceptance premise is assumed. -/ theorem realizedTestAcceptance_eq_testAcceptance {D : Nat} (positive : 0 < D) (π : J → I) (A : Cube I → Bool) (B : Cube J → Bool) : realizedTestAcceptance D π A B = testAcceptance ((D : ℝ)⁻¹) π A B := by unfold realizedTestAcceptance testAcceptance apply Finset.expect_congr rfl intro f _ exact expect_realizedNoise positive (fun μ => 𝔼 g : Cube J, if A f ^^ B g ^^ B (thirdQuery π f g μ) then 0 else 1) /-- Exact honest completeness of the uniformly sampled finite-tape test. -/ theorem realizedTestAcceptance_dictator {D : Nat} (positive : 0 < D) (π : J → I) (i : I) (j : J) (hπ : π j = i) : realizedTestAcceptance D π (fun f => f i) (fun g => g j) = 1 - (D : ℝ)⁻¹ := by rw [realizedTestAcceptance_eq_testAcceptance positive] exact testAcceptance_dictator _ π i j hπ theorem realizedTestAcceptance_folded_dictators {D : Nat} (positive : 0 < D) (π : J → I) (i₀ i : I) (j₀ j : J) (hπ : π j = i) : realizedTestAcceptance D π (foldedAnswer i₀ (fun h => h.val i)) (foldedAnswer j₀ (fun h => h.val j)) = 1 - (D : ℝ)⁻¹ := by rw [realizedTestAcceptance_eq_testAcceptance positive] exact testAcceptance_folded_dictators _ π i₀ i j₀ j hπ theorem realizedTestAcceptance_conditioned_dictators {D : Nat} (positive : 0 < D) (π : J → I) (validI : I → Bool) (validJ : J → Bool) (i₀ i : {i : I // validI i = true}) (j₀ j : {j : J // validJ j = true}) (hπ : π j.val = i.val) : realizedTestAcceptance D π (conditionedFoldedAnswer validI i₀ (fun h => h.val i)) (conditionedFoldedAnswer validJ j₀ (fun h => h.val j)) = 1 - (D : ℝ)⁻¹ := by rw [realizedTestAcceptance_eq_testAcceptance positive] exact testAcceptance_conditioned_dictators _ π validI validJ i₀ i j₀ j hπ theorem realizedTestAcceptance_folded_conditioned_dictators {D : Nat} (positive : 0 < D) (π : J → I) (i₀ i : I) (valid : J → Bool) (j₀ j : {j : J // valid j = true}) (hπ : π j.val = i) : realizedTestAcceptance D π (foldedAnswer i₀ (fun h => h.val i)) (conditionedFoldedAnswer valid j₀ (fun h => h.val j)) = 1 - (D : ℝ)⁻¹ := by rw [realizedTestAcceptance_eq_testAcceptance positive] exact testAcceptance_folded_conditioned_dictators _ π i₀ i valid j₀ j hπ end MaxCutGames.Foundations.Hastad namespace MaxCutGames.Foundations.Hastad.SourceTape open scoped BigOperators open MaxCutGames.Reduction.FiniteNoise /-- Two full Boolean query tables and one finite noise entry per right index. -/ abbrev TestTape (I J : Type*) (D : ℕ) := Cube I × ((J → Fin D) × Cube J) abbrev FairTestTape (I J : Type*) (D : ℕ) := TestTape I J D × Bool section Expectations variable {X Y : Type*} [Fintype X] [Fintype Y] theorem expect_prod (H : X × Y → ℝ) : (𝔼 p : X × Y, H p) = 𝔼 x : X, 𝔼 y : Y, H (x, y) := by simpa only [Finset.univ_product_univ] using (Finset.expect_product (Finset.univ : Finset X) (Finset.univ : Finset Y) H) end Expectations section Tape variable {I J : Type*} [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J] {D : ℕ} theorem card_testTape : Fintype.card (TestTape I J D) = 2 ^ Fintype.card I * (D ^ Fintype.card J * 2 ^ Fintype.card J) := by simp [TestTape, Cube] theorem card_fairTestTape : Fintype.card (FairTestTape I J D) = (2 ^ Fintype.card I * (D ^ Fintype.card J * 2 ^ Fintype.card J)) * 2 := by rw [Fintype.card_prod, card_testTape] rfl theorem expect_testTape (H : TestTape I J D → ℝ) : (𝔼 t : TestTape I J D, H t) = 𝔼 f : Cube I, 𝔼 z : J → Fin D, 𝔼 g : Cube J, H (f, z, g) := by rw [expect_prod] apply Finset.expect_congr rfl intro f _ exact expect_prod _ /-- Any explicit finite enumeration equivalence preserves the exact tape law. -/ theorem expect_equivTape {E : Type*} [Fintype E] (e : E ≃ TestTape I J D) (H : TestTape I J D → ℝ) : (𝔼 s : E, H (e s)) = 𝔼 t : TestTape I J D, H t := Fintype.expect_equiv e _ _ (fun _ => rfl) theorem expect_fairTestTape (H : FairTestTape I J D → ℝ) : (𝔼 t : FairTestTape I J D, H t) = 𝔼 t : TestTape I J D, (H (t, false) + H (t, true)) / 2 := by rw [expect_prod] apply Finset.expect_congr rfl intro t _ rw [Fintype.expect_eq_sum_div_card] simp [add_comm] theorem expect_fairTestTape_ignore (H : TestTape I J D → ℝ) : (𝔼 t : FairTestTape I J D, H t.1) = 𝔼 t : TestTape I J D, H t := by rw [expect_prod] simp only [Fintype.expect_const] /-- The three actual query tables read from a uniform finite tape. -/ def tapeQueries (π : J → I) (t : TestTape I J D) : Cube I × Cube J × Cube J := (t.1, t.2.2, thirdQuery π t.1 t.2.2 (realizedNoise t.2.1)) /-- Exact joint law of all three queries, for every real-valued observable. -/ theorem expect_tapeQueries (positive : 0 < D) (π : J → I) (H : Cube I × Cube J × Cube J → ℝ) : (𝔼 t : TestTape I J D, H (tapeQueries π t)) = 𝔼 f : Cube I, ∑ μ : Cube J, noiseWeight ((D : ℝ)⁻¹) μ * (𝔼 g : Cube J, H (f, g, thirdQuery π f g μ)) := by rw [expect_testTape] apply Finset.expect_congr rfl intro f _ exact expect_realizedNoise positive (fun μ => 𝔼 g : Cube J, H (f, g, thirdQuery π f g μ)) def tapeAcceptance (D : ℕ) (π : J → I) (A : Cube I → Bool) (B : Cube J → Bool) : ℝ := 𝔼 t : TestTape I J D, if A t.1 ^^ B t.2.2 ^^ B (thirdQuery π t.1 t.2.2 (realizedNoise t.2.1)) then 0 else 1 theorem tapeAcceptance_eq_realizedTestAcceptance (D : ℕ) (π : J → I) (A : Cube I → Bool) (B : Cube J → Bool) : tapeAcceptance D π A B = realizedTestAcceptance D π A B := expect_testTape _ theorem tapeAcceptance_eq_testAcceptance (positive : 0 < D) (π : J → I) (A : Cube I → Bool) (B : Cube J → Bool) : tapeAcceptance D π A B = testAcceptance ((D : ℝ)⁻¹) π A B := by rw [tapeAcceptance_eq_realizedTestAcceptance, realizedTestAcceptance_eq_testAcceptance positive] theorem tapeAcceptance_eq_sum_div_card (D : ℕ) (π : J → I) (A : Cube I → Bool) (B : Cube J → Bool) : tapeAcceptance D π A B = (∑ t : TestTape I J D, if A t.1 ^^ B t.2.2 ^^ B (thirdQuery π t.1 t.2.2 (realizedNoise t.2.1)) then (0 : ℝ) else 1) / Fintype.card (TestTape I J D) := Fintype.expect_eq_sum_div_card _ end Tape variable {X Λ : Type*} def restrictFunction (P : X → Prop) (f : X → Λ) : {x : X // P x} → Λ := fun x => f x.val /-- Uniform full functions push forward to uniform functions on any subtype. Nonempty values ensure that the unused coordinates can be filled. -/ theorem expect_restrictFunction [Fintype X] [DecidableEq X] [Fintype Λ] [Nonempty Λ] (P : X → Prop) [DecidablePred P] (H : ({x : X // P x} → Λ) → ℝ) : (𝔼 f : X → Λ, H (restrictFunction P f)) = 𝔼 g : {x : X // P x} → Λ, H g := by classical calc _ = 𝔼 p : ({x : X // P x} → Λ) × ({x : X // ¬ P x} → Λ), H p.1 := Fintype.expect_equiv (Equiv.piEquivPiSubtypeProd P (fun _ => Λ)) _ _ (fun _ => rfl) _ = _ := by rw [expect_prod] simp only [Fintype.expect_const] variable {I J : Type*} def restrictTape (P : I → Prop) (Q : J → Prop) {D : ℕ} (t : TestTape I J D) : TestTape {i : I // P i} {j : J // Q j} D := (restrictFunction P t.1, restrictFunction Q t.2.1, restrictFunction Q t.2.2) theorem expect_restrictTape [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J] (P : I → Prop) (Q : J → Prop) [DecidablePred P] [DecidablePred Q] {D : ℕ} (positive : 0 < D) (H : TestTape {i : I // P i} {j : J // Q j} D → ℝ) : (𝔼 t : TestTape I J D, H (restrictTape P Q t)) = 𝔼 t : TestTape {i : I // P i} {j : J // Q j} D, H t := by let : Nonempty (Fin D) := ⟨⟨0, positive⟩⟩ rw [expect_testTape, expect_testTape] change (𝔼 f : Cube I, 𝔼 z : J → Fin D, 𝔼 g : Cube J, H (restrictFunction P f, restrictFunction Q z, restrictFunction Q g)) = _ have hg (f : Cube I) (z : J → Fin D) : (𝔼 g : Cube J, H (restrictFunction P f, restrictFunction Q z, restrictFunction Q g)) = 𝔼 g : Cube {j : J // Q j}, H (restrictFunction P f, restrictFunction Q z, g) := expect_restrictFunction (Λ := Bool) Q (fun g => H (restrictFunction P f, restrictFunction Q z, g)) simp_rw [hg] have hz (f : Cube I) : (𝔼 z : J → Fin D, 𝔼 g : Cube {j : J // Q j}, H (restrictFunction P f, restrictFunction Q z, g)) = 𝔼 z : {j : J // Q j} → Fin D, 𝔼 g : Cube {j : J // Q j}, H (restrictFunction P f, z, g) := expect_restrictFunction (Λ := Fin D) Q (fun z => 𝔼 g : Cube {j : J // Q j}, H (restrictFunction P f, z, g)) simp_rw [hz] exact expect_restrictFunction (Λ := Bool) P (fun f => 𝔼 z : {j : J // Q j} → Fin D, 𝔼 g : Cube {j : J // Q j}, H (f, z, g)) def restrictedProjection (P : I → Prop) (Q : J → Prop) (π : J → I) (hπ : ∀ j, Q j → P (π j)) : {j : J // Q j} → {i : I // P i} := fun j => ⟨π j.val, hπ j.val j.property⟩ theorem restrict_realizedNoise (Q : J → Prop) {D : ℕ} (z : J → Fin D) : restrictFunction Q (realizedNoise z) = realizedNoise (restrictFunction Q z) := rfl theorem restrict_thirdQuery (P : I → Prop) (Q : J → Prop) (π : J → I) (hπ : ∀ j, Q j → P (π j)) (f : Cube I) (g μ : Cube J) : restrictFunction Q (thirdQuery π f g μ) = thirdQuery (restrictedProjection P Q π hπ) (restrictFunction P f) (restrictFunction Q g) (restrictFunction Q μ) := rfl /-- The contextual three-query law is the same joint law as sampling directly on the contextual domains, whenever the contextual projection is defined. -/ theorem expect_restricted_queries [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J] (P : I → Prop) (Q : J → Prop) [DecidablePred P] [DecidablePred Q] (π : J → I) (hπ : ∀ j, Q j → P (π j)) {D : ℕ} (positive : 0 < D) (H : Cube {i : I // P i} × Cube {j : J // Q j} × Cube {j : J // Q j} → ℝ) : (𝔼 t : TestTape I J D, H (restrictFunction P t.1, restrictFunction Q t.2.2, restrictFunction Q (thirdQuery π t.1 t.2.2 (realizedNoise t.2.1)))) = 𝔼 t : TestTape {i : I // P i} {j : J // Q j} D, H (tapeQueries (restrictedProjection P Q π hπ) t) := by exact expect_restrictTape P Q positive (fun t => H (tapeQueries (restrictedProjection P Q π hπ) t)) def restrictRightTape (Q : J → Prop) {D : ℕ} (t : TestTape I J D) : TestTape I {j : J // Q j} D := (t.1, restrictFunction Q t.2.1, restrictFunction Q t.2.2) theorem expect_restrictRightTape [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J] (Q : J → Prop) [DecidablePred Q] {D : ℕ} (positive : 0 < D) (H : TestTape I {j : J // Q j} D → ℝ) : (𝔼 t : TestTape I J D, H (restrictRightTape Q t)) = 𝔼 t : TestTape I {j : J // Q j} D, H t := by let : Nonempty (Fin D) := ⟨⟨0, positive⟩⟩ rw [expect_testTape, expect_testTape] apply Finset.expect_congr rfl intro f _ change (𝔼 z : J → Fin D, 𝔼 g : Cube J, H (f, restrictFunction Q z, restrictFunction Q g)) = _ have hg (z : J → Fin D) : (𝔼 g : Cube J, H (f, restrictFunction Q z, restrictFunction Q g)) = 𝔼 g : Cube {j : J // Q j}, H (f, restrictFunction Q z, g) := expect_restrictFunction (Λ := Bool) Q (fun g => H (f, restrictFunction Q z, g)) simp_rw [hg] exact expect_restrictFunction (Λ := Fin D) Q (fun z => 𝔼 g : Cube {j : J // Q j}, H (f, z, g)) /-- Joint contextual law with the full left domain unchanged. No compatibility premise is needed: the right projection is simply restricted to valid indices. -/ theorem expect_rightRestricted_queries [Fintype I] [DecidableEq I] [Fintype J] [DecidableEq J] (Q : J → Prop) [DecidablePred Q] (π : J → I) {D : ℕ} (positive : 0 < D) (H : Cube I × Cube {j : J // Q j} × Cube {j : J // Q j} → ℝ) : (𝔼 t : TestTape I J D, H (t.1, restrictFunction Q t.2.2, restrictFunction Q (thirdQuery π t.1 t.2.2 (realizedNoise t.2.1)))) = 𝔼 t : TestTape I {j : J // Q j} D, H (tapeQueries (fun j => π j.val) t) := by exact expect_restrictRightTape Q positive (fun t => H (tapeQueries (fun j => π j.val) t)) end MaxCutGames.Foundations.Hastad.SourceTape end namespace MaxCutGames.Foundations.Hastad.SourceContexts open Target PCP /-- Executable tuple encoding of the eight clause answers. -/ def clauseAnswerEquiv : ClauseAnswer ≃ Bool × Bool × Bool where toFun a := (a.first, a.second, a.third) invFun a := ⟨a.1, a.2.1, a.2.2⟩ left_inv a := by cases a; rfl right_inv a := by rcases a with ⟨a, b, c⟩; rfl def clauseAnswerFinEquiv : ClauseAnswer ≃ Fin 8 := clauseAnswerEquiv.trans ((Equiv.prodCongr finTwoEquiv.symm (Equiv.prodCongr finTwoEquiv.symm finTwoEquiv.symm)).trans ((Equiv.prodCongr (Equiv.refl (Fin 2)) finProdFinEquiv).trans finProdFinEquiv)) instance clauseAnswerFintype : Fintype ClauseAnswer := Fintype.ofEquiv (Bool × Bool × Bool) clauseAnswerEquiv.symm instance clauseAnswerInhabited : Inhabited ClauseAnswer := ⟨⟨false, false, false⟩⟩ instance slotFintype : Fintype Slot where elems := {.first, .second, .third} complete s := by cases s <;> simp instance slotInhabited : Inhabited Slot := ⟨.first⟩ @[simp] theorem card_clauseAnswer : Fintype.card ClauseAnswer = 8 := by rw [Fintype.card_congr clauseAnswerFinEquiv] rfl @[simp] theorem card_slot : Fintype.card Slot = 3 := by decide abbrev I (u : ℕ) := Fin u → Bool abbrev J (u : ℕ) := Fin u → ClauseAnswer abbrev ClauseContext (F : Formula) (u : ℕ) := Fin u → Fin F.clauses.length abbrev VariableContext (F : Formula) (u : ℕ) := Fin u → Fin F.«variables» abbrev SlotContext (u : ℕ) := Fin u → Slot @[simp] theorem card_I (u : ℕ) : Fintype.card (I u) = 2 ^ u := by simp [I] @[simp] theorem card_J (u : ℕ) : Fintype.card (J u) = 8 ^ u := by simp [J] @[simp] theorem card_ClauseContext (F : Formula) (u : ℕ) : Fintype.card (ClauseContext F u) = F.clauses.length ^ u := by simp [ClauseContext] @[simp] theorem card_VariableContext (F : Formula) (u : ℕ) : Fintype.card (VariableContext F u) = F.«variables» ^ u := by simp [VariableContext] @[simp] theorem card_SlotContext (u : ℕ) : Fintype.card (SlotContext u) = 3 ^ u := by simp [SlotContext] def localConsistent {n : ℕ} (clause : Clause n) (answer : ClauseAnswer) : Bool := decide (∀ s s' : Slot, nameAt clause s = nameAt clause s' → answerAt answer s = answerAt answer s') @[simp] theorem localConsistent_eq_true_iff {n : ℕ} (clause : Clause n) (answer : ClauseAnswer) : localConsistent clause answer = true ↔ ∀ s s' : Slot, nameAt clause s = nameAt clause s' → answerAt answer s = answerAt answer s' := by simp [localConsistent] /-- Satisfaction and consistency over all `3*u` occurrence slots. -/ def validJ (F : Formula) {u : ℕ} (c : ClauseContext F u) (j : J u) : Bool := decide ((∀ t, localSatisfies (clauseAt F (c t)) (j t) = true) ∧ ∀ t t' s s', nameAt (clauseAt F (c t)) s = nameAt (clauseAt F (c t')) s' → answerAt (j t) s = answerAt (j t') s') @[simp] theorem validJ_eq_true_iff (F : Formula) {u : ℕ} (c : ClauseContext F u) (j : J u) : validJ F c j = true ↔ (∀ t, localSatisfies (clauseAt F (c t)) (j t) = true) ∧ ∀ t t' s s', nameAt (clauseAt F (c t)) s = nameAt (clauseAt F (c t')) s' → answerAt (j t) s = answerAt (j t') s' := by simp [validJ] theorem validJ_satisfies (F : Formula) {u : ℕ} (c : ClauseContext F u) (j : J u) (hj : validJ F c j = true) (t : Fin u) : localSatisfies (clauseAt F (c t)) (j t) = true := ((validJ_eq_true_iff F c j).mp hj).1 t theorem validJ_consistent (F : Formula) {u : ℕ} (c : ClauseContext F u) (j : J u) (hj : validJ F c j = true) (t : Fin u) (s : Slot) (t' : Fin u) (s' : Slot) (hname : nameAt (clauseAt F (c t)) s = nameAt (clauseAt F (c t')) s') : answerAt (j t) s = answerAt (j t') s' := ((validJ_eq_true_iff F c j).mp hj).2 t t' s s' hname theorem validJ_localConsistent (F : Formula) {u : ℕ} (c : ClauseContext F u) (j : J u) (hj : validJ F c j = true) (t : Fin u) : localConsistent (clauseAt F (c t)) (j t) = true := by apply (localConsistent_eq_true_iff _ _).mpr intro s s' hs exact validJ_consistent F c j hj t s t s' hs /-- First matching visible occurrence, with the third slot as an off-support default. Its inputs contain no hidden incidence choice. -/ def canonicalSlot {n : ℕ} (clause : Clause n) (v : Fin n) : Slot := if nameAt clause .first = v then .first else if nameAt clause .second = v then .second else .third theorem canonicalSlot_name {n : ℕ} (clause : Clause n) (v : Fin n) (hv : ∃ s, nameAt clause s = v) : nameAt clause (canonicalSlot clause v) = v := by by_cases hfirst : nameAt clause .first = v · simp [canonicalSlot, hfirst] by_cases hsecond : nameAt clause .second = v · simp [canonicalSlot, hfirst, hsecond] obtain ⟨s, hs⟩ := hv cases s with | first => exact False.elim (hfirst hs) | second => exact False.elim (hsecond hs) | third => simpa [canonicalSlot, hfirst, hsecond] using hs def pi (F : Formula) {u : ℕ} (c : ClauseContext F u) (v : VariableContext F u) (j : J u) : I u := fun t => answerAt (j t) (canonicalSlot (clauseAt F (c t)) (v t)) def sampledVariables (F : Formula) {u : ℕ} (c : ClauseContext F u) (s : SlotContext u) : VariableContext F u := fun t => nameAt (clauseAt F (c t)) (s t) theorem sampledVariables_supported (F : Formula) {u : ℕ} (c : ClauseContext F u) (s : SlotContext u) : ∀ t, ∃ slot, nameAt (clauseAt F (c t)) slot = sampledVariables F c s t := fun t => ⟨s t, rfl⟩ theorem sampled_eq_pi (F : Formula) {u : ℕ} (c : ClauseContext F u) (v : VariableContext F u) (j : J u) (hj : validJ F c j = true) (t : Fin u) (s : Slot) (hs : nameAt (clauseAt F (c t)) s = v t) : answerAt (j t) s = pi F c v j t := by exact validJ_consistent F c j hj t s t (canonicalSlot (clauseAt F (c t)) (v t)) (hs.trans (canonicalSlot_name _ _ ⟨s, hs⟩).symm) /-- Two hidden choices with the same visible variable tuple give the same selected answers for every valid label. -/ theorem sampled_answers_eq_of_visible_eq (F : Formula) {u : ℕ} (c : ClauseContext F u) (s s' : SlotContext u) (j : J u) (hj : validJ F c j = true) (hvisible : sampledVariables F c s = sampledVariables F c s') : (fun t => answerAt (j t) (s t)) = fun t => answerAt (j t) (s' t) := by funext t exact validJ_consistent F c j hj t (s t) t (s' t) (congrFun hvisible t) def honestJ (F : Formula) {u : ℕ} (c : ClauseContext F u) (assignment : Fin F.«variables» → Bool) : J u := fun t => honestAnswer (clauseAt F (c t)) assignment def honestI (F : Formula) {u : ℕ} (v : VariableContext F u) (assignment : Fin F.«variables» → Bool) : I u := fun t => assignment (v t) theorem honestJ_valid (F : Formula) {u : ℕ} (c : ClauseContext F u) (assignment : Fin F.«variables» → Bool) (hs : ∀ clause ∈ F.clauses, clause.eval assignment = true) : validJ F c (honestJ F c assignment) = true := by apply (validJ_eq_true_iff F c _).mpr constructor · intro t exact (honest_satisfies _ assignment).trans (hs _ (List.getElem_mem _)) · intro t t' s s' hname simp only [honestJ, honest_answerAt] exact congrArg assignment hname theorem pi_honest (F : Formula) {u : ℕ} (c : ClauseContext F u) (v : VariableContext F u) (assignment : Fin F.«variables» → Bool) (hsupport : ∀ t, ∃ s, nameAt (clauseAt F (c t)) s = v t) : pi F c v (honestJ F c assignment) = honestI F v assignment := by funext t exact (honest_answerAt _ assignment _).trans (congrArg assignment (canonicalSlot_name _ _ (hsupport t))) theorem pi_honest_sampled (F : Formula) {u : ℕ} (c : ClauseContext F u) (s : SlotContext u) (assignment : Fin F.«variables» → Bool) : pi F c (sampledVariables F c s) (honestJ F c assignment) = honestI F (sampledVariables F c s) assignment := pi_honest F c _ assignment (sampledVariables_supported F c s) def baseAccepts (F : Formula) (v : Fin F.«variables») (c : Fin F.clauses.length) (i : Bool) (j : ClauseAnswer) : Bool := decide (localSatisfies (clauseAt F c) j = true ∧ localConsistent (clauseAt F c) j = true ∧ answerAt j (canonicalSlot (clauseAt F c) v) = i) @[simp] theorem baseAccepts_eq_true_iff (F : Formula) (v : Fin F.«variables») (c : Fin F.clauses.length) (i : Bool) (j : ClauseAnswer) : baseAccepts F v c i j = true ↔ localSatisfies (clauseAt F c) j = true ∧ localConsistent (clauseAt F c) j = true ∧ answerAt j (canonicalSlot (clauseAt F c) v) = i := by simp [baseAccepts] theorem projection_implies_coordinate_accepts (F : Formula) {u : ℕ} (c : ClauseContext F u) (v : VariableContext F u) (i : I u) (j : J u) (hj : validJ F c j = true) (hpi : pi F c v j = i) (t : Fin u) : baseAccepts F (v t) (c t) (i t) (j t) = true := by exact (baseAccepts_eq_true_iff F _ _ _ _).mpr ⟨validJ_satisfies F c j hj t, validJ_localConsistent F c j hj t, congrFun hpi t⟩ theorem baseAccepts_implies_sampled (F : Formula) (c : Fin F.clauses.length) (s : Slot) (i : Bool) (j : ClauseAnswer) (h : baseAccepts F (nameAt (clauseAt F c) s) c i j = true) : (localSatisfies (clauseAt F c) j && decide (answerAt j s = i)) = true := by obtain ⟨hsat, hcons, heq⟩ := (baseAccepts_eq_true_iff F _ _ _ _).mp h have hname := canonicalSlot_name (clauseAt F c) (nameAt (clauseAt F c) s) ⟨s, rfl⟩ have hans := (localConsistent_eq_true_iff _ _).mp hcons s (canonicalSlot (clauseAt F c) (nameAt (clauseAt F c) s)) hname.symm simp [hsat, hans.trans heq] /-- Every coordinate of the original repeated clause-slot verifier accepts the decoded answers. Each answer tuple may depend on its whole private context. -/ theorem projection_implies_sampled_accepts (F : Formula) {u : ℕ} (c : ClauseContext F u) (s : SlotContext u) (i : I u) (j : J u) (hj : validJ F c j = true) (hpi : pi F c (sampledVariables F c s) j = i) : ∀ t, (localSatisfies (clauseAt F (c t)) (j t) && decide (answerAt (j t) (s t) = i t)) = true := by intro t exact baseAccepts_implies_sampled F (c t) (s t) (i t) (j t) (projection_implies_coordinate_accepts F c _ i j hj hpi t) end MaxCutGames.Foundations.Hastad.SourceContexts end OAI