import Mathlib import OAI.Computability.DirectedFeedback.Encoding.Finite namespace OAI section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section section namespace DFVSGames.Outer.Clone100Counting open scoped BigOperators abbrev Index := Fin 100 abbrev Triple := Index × Index × Index def sign (b : Bool) : ℚ := if b then -1 else 1 def bias (f : Index → Bool) : ℚ := (∑ i, sign (f i)) / 100 def majorityBit (f : Index → Bool) : Bool := decide (bias f < 0) theorem majority_aligned_nonneg (f : Index → Bool) : 0 ≤ sign (majorityBit f) * bias f := by by_cases h : bias f < 0 · simp [majorityBit, h, sign] exact le_of_lt h · simpa [majorityBit, h, sign] using le_of_not_gt h def parityIndicator (a b c rhs : Bool) : ℚ := if (xor (xor a b) c) == rhs then 1 else 0 theorem parityIndicator_nonneg (a b c rhs : Bool) : 0 ≤ parityIndicator a b c rhs := by unfold parityIndicator split <;> norm_num theorem parityIndicator_le_one (a b c rhs : Bool) : parityIndicator a b c rhs ≤ 1 := by unfold parityIndicator split <;> norm_num theorem parityIndicator_eq (a b c rhs : Bool) : parityIndicator a b c rhs = (1 + sign rhs * sign a * sign b * sign c) / 2 := by cases a <;> cases b <;> cases c <;> cases rhs <;> norm_num [parityIndicator, sign] def unconditionedScore (p q r : Index → Bool) (rhs : Bool) : ℚ := (∑ t : Triple, parityIndicator (p t.1) (q t.2.1) (r t.2.2) rhs) / 1000000 theorem independent_product_sum (p q r : Index → ℚ) : (∑ t : Triple, p t.1 * q t.2.1 * r t.2.2) = (∑ i, p i) * (∑ j, q j) * (∑ k, r k) := by simp only [Fintype.sum_prod_type] simp_rw [← Finset.mul_sum] simp_rw [← Finset.sum_mul] simp_rw [← Finset.mul_sum] simp_rw [← Finset.sum_mul] theorem unconditionedScore_eq (p q r : Index → Bool) (rhs : Bool) : unconditionedScore p q r rhs = (1 + sign rhs * bias p * bias q * bias r) / 2 := by have hp := independent_product_sum (fun i => sign (p i)) (fun i => sign (q i)) (fun i => sign (r i)) have hs : (∑ t : Triple, sign rhs * sign (p t.1) * sign (q t.2.1) * sign (r t.2.2)) = sign rhs * ((∑ i, sign (p i)) * (∑ j, sign (q j)) * (∑ k, sign (r k))) := by rw [← hp, Finset.mul_sum] apply Finset.sum_congr rfl intro t _ ring unfold unconditionedScore simp_rw [parityIndicator_eq, div_eq_mul_inv] rw [← Finset.sum_mul, Finset.sum_add_distrib, hs] simp only [Finset.sum_const, Finset.card_univ, Fintype.card_prod, Fintype.card_fin, nsmul_eq_mul] unfold bias norm_num ring theorem unconditionedScore_le_one (p q r : Index → Bool) (rhs : Bool) : unconditionedScore p q r rhs ≤ 1 := by have h := Finset.sum_le_sum (s := (Finset.univ : Finset Triple)) (fun t _ => parityIndicator_le_one (p t.1) (q t.2.1) (r t.2.2) rhs) norm_num [Fintype.card_prod, Fintype.card_fin] at h unfold unconditionedScore linarith theorem signed_product_of_failure (a b c rhs : Bool) (x y z : ℚ) (h : (xor (xor a b) c == rhs) = false) : sign rhs * x * y * z = -((sign a * x) * (sign b * y) * (sign c * z)) := by cases a <;> cases b <;> cases c <;> cases rhs <;> simp_all [sign] theorem unconditionedScore_le_half_of_failure (p q r : Index → Bool) (rhs : Bool) (h : (xor (xor (majorityBit p) (majorityBit q)) (majorityBit r) == rhs) = false) : unconditionedScore p q r rhs ≤ 1 / 2 := by have hn := mul_nonneg (mul_nonneg (majority_aligned_nonneg p) (majority_aligned_nonneg q)) (majority_aligned_nonneg r) rw [unconditionedScore_eq, signed_product_of_failure (majorityBit p) (majorityBit q) (majorityBit r) rhs (bias p) (bias q) (bias r) h] linarith theorem unconditionedScore_le (p q r : Index → Bool) (rhs : Bool) : unconditionedScore p q r rhs ≤ (1 + parityIndicator (majorityBit p) (majorityBit q) (majorityBit r) rhs) / 2 := by cases h : (xor (xor (majorityBit p) (majorityBit q)) (majorityBit r) == rhs) with | false => have hi : parityIndicator (majorityBit p) (majorityBit q) (majorityBit r) rhs = 0 := by unfold parityIndicator rw [h] rfl rw [hi, add_zero] exact unconditionedScore_le_half_of_failure p q r rhs h | true => have hi : parityIndicator (majorityBit p) (majorityBit q) (majorityBit r) rhs = 1 := by unfold parityIndicator rw [h] rfl rw [hi] norm_num exact unconditionedScore_le_one p q r rhs theorem condition_970200_le {T : Type*} [Fintype T] (good : T → Prop) [DecidablePred good] (_hT : Fintype.card T = 1000000) (hgood : Fintype.card {t : T // good t} = 970200) (f : T → ℚ) (hf0 : ∀ t, 0 ≤ f t) (hf1 : ∀ t, f t ≤ 1) : (∑ t : {t : T // good t}, f t.val) / 970200 ≤ (∑ t : T, f t) / 1000000 + 3 / 100 := by classical have hsplit := Fintype.sum_subtype_add_sum_subtype good f have hn : 0 ≤ ∑ t : {t : T // ¬good t}, f t.val := Finset.sum_nonneg (fun t _ => hf0 t.val) have hle : (∑ t : {t : T // good t}, f t.val) ≤ ∑ t : T, f t := by linarith have hcap := Finset.sum_le_sum (s := (Finset.univ : Finset {t : T // good t})) (fun t _ => hf1 t.val) simp only [Finset.sum_const, Finset.card_univ, hgood, nsmul_eq_mul] at hcap norm_num at hcap linarith def conditionedScore (good : Triple → Prop) [DecidablePred good] (p q r : Index → Bool) (rhs : Bool) : ℚ := (∑ t : {t : Triple // good t}, parityIndicator (p t.val.1) (q t.val.2.1) (r t.val.2.2) rhs) / 970200 theorem conditionedScore_le (good : Triple → Prop) [DecidablePred good] (hgood : Fintype.card {t : Triple // good t} = 970200) (p q r : Index → Bool) (rhs : Bool) : conditionedScore good p q r rhs ≤ (1 + parityIndicator (majorityBit p) (majorityBit q) (majorityBit r) rhs) / 2 + 3 / 100 := by have hcond := condition_970200_le good (by norm_num [Fintype.card_prod, Fintype.card_fin]) hgood (fun t => parityIndicator (p t.1) (q t.2.1) (r t.2.2) rhs) (fun t => parityIndicator_nonneg _ _ _ _) (fun t => parityIndicator_le_one _ _ _ _) have hmaj := unconditionedScore_le p q r rhs change conditionedScore good p q r rhs ≤ unconditionedScore p q r rhs + 3 / 100 at hcond linarith end DFVSGames.Outer.Clone100Counting end section namespace DFVSGames.Outer.Clone100Triples abbrev Index := Fin 100 abbrev Triple := Index × Index × Index def good (t : Triple) : Prop := t.1 ≠ t.2.1 ∧ t.1 ≠ t.2.2 ∧ t.2.1 ≠ t.2.2 instance : DecidablePred good := fun _ => inferInstanceAs (Decidable (_ ∧ _ ∧ _)) abbrev GoodTriple := {t : Triple // good t} def toEmbedding (t : GoodTriple) : Fin 3 ↪ Index where toFun := ![t.val.1, t.val.2.1, t.val.2.2] inj' := by have h01 := t.property.1 have h02 := t.property.2.1 have h12 := t.property.2.2 intro i j h fin_cases i <;> fin_cases j <;> simp_all def fromEmbedding (f : Fin 3 ↪ Index) : GoodTriple := ⟨(f 0, f 1, f 2), by constructor · exact fun h => (by decide : (0 : Fin 3) ≠ 1) (f.injective h) constructor · exact fun h => (by decide : (0 : Fin 3) ≠ 2) (f.injective h) · exact fun h => (by decide : (1 : Fin 3) ≠ 2) (f.injective h)⟩ def embeddingEquiv : GoodTriple ≃ (Fin 3 ↪ Index) where toFun := toEmbedding invFun := fromEmbedding left_inv t := by apply Subtype.ext rfl right_inv f := by ext i fin_cases i <;> rfl theorem card_goodTriple : Fintype.card GoodTriple = 970200 := by rw [Fintype.card_congr embeddingEquiv, Fintype.card_embedding_eq] norm_num [Nat.descFactorial_succ] theorem card_triple : Fintype.card Triple = 1000000 := by norm_num [Fintype.card_prod, Fintype.card_fin] instance : Nonempty GoodTriple := ⟨⟨(0, 1, 2), by decide⟩⟩ end DFVSGames.Outer.Clone100Triples end section namespace DFVSGames.Outer.Clone100 open DFVSGames.Reduction CloneGap ActualSource open Clone100Triples Clone100Counting open scoped BigOperators noncomputable section def triples : List GoodTriple := Finset.univ.toList theorem triples_length : triples.length = 970200 := by simp [triples, card_goodTriple] def clone {N : Type} (e : Equation N) (t : GoodTriple) : Equation (N × Fin 100) := ⟨(e.first, t.val.1), (e.second, t.val.2.1), (e.third, t.val.2.2), e.rhs⟩ theorem clone_distinct {N : Type} (e : Equation N) (t : GoodTriple) : (clone e t).first ≠ (clone e t).second ∧ (clone e t).first ≠ (clone e t).third ∧ (clone e t).second ≠ (clone e t).third := by exact ⟨fun h => t.property.1 (congrArg Prod.snd h), fun h => t.property.2.1 (congrArg Prod.snd h), fun h => t.property.2.2 (congrArg Prod.snd h)⟩ theorem clone_lift {N : Type} (e : Equation N) (t : GoodTriple) (a : N → Bool) : satisfied (clone e t) (fun z => a z.1) = satisfied e a := rfl def nameEquiv (n : Nat) : Fin n × Fin 100 ≃ Fin (n * 100) := finProdFinEquiv def equation {n : Nat} (e : Equation (Fin n)) (t : GoodTriple) : Equation (Fin (n * 100)) := ⟨nameEquiv n (e.first, t.val.1), nameEquiv n (e.second, t.val.2.1), nameEquiv n (e.third, t.val.2.2), e.rhs⟩ theorem equation_distinct {n : Nat} (e : Equation (Fin n)) (t : GoodTriple) : (equation e t).first ≠ (equation e t).second ∧ (equation e t).first ≠ (equation e t).third ∧ (equation e t).second ≠ (equation e t).third := by obtain ⟨h12, h13, h23⟩ := clone_distinct e t exact ⟨fun h => h12 ((nameEquiv n).injective h), fun h => h13 ((nameEquiv n).injective h), fun h => h23 ((nameEquiv n).injective h)⟩ def equations {n : Nat} (es : List (Equation (Fin n))) : List (Equation (Fin (n * 100))) := es.flatMap (fun e => triples.map (equation e)) theorem equations_length {n : Nat} (es : List (Equation (Fin n))) : (equations es).length = es.length * 970200 := by induction es with | nil => simp [equations] | cons e es ih => simp only [equations, List.flatMap_cons, List.length_append, List.length_map, triples_length, List.length_cons] at * omega theorem equations_nonempty {n : Nat} (es : List (Equation (Fin n))) (hne : es ≠ []) : equations es ≠ [] := by apply List.length_pos_iff.mp rw [equations_length] exact Nat.mul_pos (List.length_pos_iff.mpr hne) (by decide) def clonedInput (input : SourceEncoding.Input) : SourceEncoding.Input where «variables» := input.«variables» * 100 equations := equations input.equations nonempty := equations_nonempty input.equations input.nonempty def clonedSource (input : SourceEncoding.Input) : Source := Source.ofList (clonedInput input).equations (clonedInput input).nonempty theorem clonedSource_distinct (input : SourceEncoding.Input) : (clonedSource input).DistinctNames := by intro i have hm : (clonedInput input).equations[i.val] ∈ equations input.equations := List.getElem_mem i.isLt obtain ⟨e, _, ht⟩ := List.mem_flatMap.mp hm obtain ⟨t, _, he⟩ := List.mem_map.mp ht change ((clonedInput input).equations[i.val]).first ≠ ((clonedInput input).equations[i.val]).second ∧ ((clonedInput input).equations[i.val]).first ≠ ((clonedInput input).equations[i.val]).third ∧ ((clonedInput input).equations[i.val]).second ≠ ((clonedInput input).equations[i.val]).third rw [← he] exact equation_distinct e t def lift {n : Nat} (a : Fin n → Bool) : Fin (n * 100) → Bool := fun v => a ((nameEquiv n).symm v).1 theorem equation_lift {n : Nat} (e : Equation (Fin n)) (t : GoodTriple) (a : Fin n → Bool) : satisfied (equation e t) (lift a) = satisfied e a := by simp [equation, lift, satisfied] theorem completeness_count {n : Nat} (es : List (Equation (Fin n))) (a : Fin n → Bool) : (equations es).countP (fun e => satisfied e (lift a)) = es.countP (fun e => satisfied e a) * 970200 := by induction es with | nil => simp [equations] | cons e es ih => simp only [equations, List.flatMap_cons, List.countP_append, List.countP_map, Function.comp_def] at * simp_rw [equation_lift] rw [CloneGap.count_const, triples_length, ih] cases h : satisfied e a <;> simp [h, Nat.add_mul, Nat.add_comm] def success {n : Nat} (es : List (Equation (Fin n))) (a : Fin n → Bool) : ℚ := (es.countP (fun e => satisfied e a) : ℚ) / es.length theorem completeness (input : SourceEncoding.Input) (a : Fin input.«variables» → Bool) : success (clonedInput input).equations (lift a) = success input.equations a := by simp only [success, clonedInput, completeness_count, equations_length, Nat.cast_mul] have hn : (input.equations.length : ℚ) ≠ 0 := by exact_mod_cast Nat.ne_of_gt (List.length_pos_iff.mpr input.nonempty) field_simp private theorem count_as_sum_inline_Clone100 {A : Type} (xs : List A) (p : A → Bool) : (xs.countP p : ℚ) = (xs.map (fun x => if p x then (1 : ℚ) else 0)).sum := by induction xs with | nil => simp | cons x xs ih => cases h : p x <;> simp [h, ih, add_comm] def majority {n : Nat} (a : Fin (n * 100) → Bool) : Fin n → Bool := fun v => majorityBit (fun i => a (nameEquiv n (v, i))) theorem equation_count_le {n : Nat} (e : Equation (Fin n)) (a : Fin (n * 100) → Bool) : ((triples.map (equation e)).countP (fun e => satisfied e a) : ℚ) ≤ 970200 * ((1 + if satisfied e (majority a) then (1 : ℚ) else 0) / 2 + 3 / 100) := by have bound := conditionedScore_le good card_goodTriple (fun i => a (nameEquiv n (e.first, i))) (fun i => a (nameEquiv n (e.second, i))) (fun i => a (nameEquiv n (e.third, i))) e.rhs have he : ((triples.map (equation e)).countP (fun e => satisfied e a) : ℚ) = ∑ t : GoodTriple, parityIndicator (a (nameEquiv n (e.first, t.val.1))) (a (nameEquiv n (e.second, t.val.2.1))) (a (nameEquiv n (e.third, t.val.2.2))) e.rhs := by rw [List.countP_map, count_as_sum_inline_Clone100] exact (Finset.sum_map_toList (Finset.univ : Finset GoodTriple) (fun t => parityIndicator (a (nameEquiv n (e.first, t.val.1))) (a (nameEquiv n (e.second, t.val.2.1))) (a (nameEquiv n (e.third, t.val.2.2))) e.rhs)) rw [he] unfold conditionedScore at bound have hb := (div_le_iff₀ (show (0 : ℚ) < 970200 by norm_num)).mp bound rw [mul_comm _ (970200 : ℚ)] at hb exact hb theorem soundness_count {n : Nat} (es : List (Equation (Fin n))) (a : Fin (n * 100) → Bool) : ((equations es).countP (fun e => satisfied e a) : ℚ) ≤ 970200 * ((53 / 100 : ℚ) * es.length + (es.countP (fun e => satisfied e (majority a)) : ℚ) / 2) := by induction es with | nil => simp [equations] | cons e es ih => have he := equation_count_le e a simp only [equations, List.flatMap_cons, List.countP_append, Nat.cast_add, List.length_cons] at * cases h : satisfied e (majority a) <;> simp [h] at * <;> linarith theorem soundness (input : SourceEncoding.Input) (a : Fin (clonedInput input).«variables» → Bool) : success (clonedInput input).equations a ≤ (1 + success input.equations (majority a)) / 2 + 3 / 100 := by have h := soundness_count input.equations a have hn : (0 : ℚ) < input.equations.length := by exact_mod_cast List.length_pos_iff.mpr input.nonempty change (_ : ℚ) / _ ≤ _ simp only [clonedInput, equations_length, Nat.cast_mul] rw [div_le_iff₀ (mul_pos hn (by norm_num))] calc _ ≤ 970200 * ((53 / 100 : ℚ) * input.equations.length + (input.equations.countP (fun e => satisfied e (majority a)) : ℚ) / 2) := h _ = _ := by unfold success field_simp ring theorem soundness_four_fifths (input : SourceEncoding.Input) (ξ : ℚ) (hξ : ξ < 1 / 100) (hsource : ∀ a, success input.equations a ≤ (1 + ξ) / 2) (a : Fin (clonedInput input).«variables» → Bool) : success (clonedInput input).equations a ≤ 4 / 5 := by have h := soundness input a have hs := hsource (majority a) linarith theorem clonedInput_bits_length_le (input : SourceEncoding.Input) : (SourceEncoding.inputBits (clonedInput input)).length ≤ input.«variables» * 100 + input.equations.length * 970200 + 2 + input.equations.length * 970200 * (300 * input.«variables» + 2) := by have h := SourceEncoding.inputBits_length_le (clonedInput input) simpa [clonedInput, equations_length, Nat.mul_comm, Nat.mul_left_comm, Nat.mul_assoc] using h end end DFVSGames.Outer.Clone100 end section namespace DFVSGames.Outer.SourceIncidence open DFVSGames.Reduction ActualSource open DFVSGames.Foundations Games Target PCP open DFVSGames.Soundness.IncidenceExtraction open DFVSGames.Clean.IncidenceGap open scoped BigOperators noncomputable section def incidence (S : Source) : Incidence (Fin S.occurrences) (Fin S.«variables») where name := ActualGame.names S rhs i := (S.equation i).rhs theorem names_distinct (S : Source) (hS : S.DistinctNames) : ∀ o i j, (incidence S).name o i = (incidence S).name o j → i = j := by intro o i j hij obtain ⟨h12, h13, h23⟩ := hS o fin_cases i <;> fin_cases j <;> simp_all [incidence, ActualGame.names, eq_comm] private theorem uniform_probability_eq_expect_inline_SourceIncidence {n : Nat} [Nonempty (Fin n)] (p : Fin n → Bool) : (FiniteDistribution.uniform (Fin n)).probability p = (Finset.univ.expect (fun i => if p i then (1 : ℚ) else 0) : ℚ) := by rw [Fintype.expect_eq_sum_div_card] push_cast simp only [FiniteDistribution.probability, FiniteDistribution.uniform, Fintype.card_fin] rw [Finset.sum_div] apply Finset.sum_congr rfl intro i _ cases p i <;> simp theorem paritySuccess_eq (S : Source) (a : Fin S.«variables» → Bool) : paritySuccess (incidence S) (FiniteDistribution.uniform (Fin S.occurrences)) a = (((S.sourceList.countP (fun e => CloneGap.satisfied e a) : ℚ) / S.occurrences : ℚ) : ℝ) := by unfold paritySuccess rw [uniform_probability_eq_expect_inline_SourceIncidence] have hevent (o : Fin S.occurrences) : decide (xorTriple (fun i => a ((incidence S).name o i)) = (incidence S).rhs o) = S.satisfied a o := by have hb : ∀ x y : Bool, decide (x = y) = (x == y) := by decide exact hb _ _ simp_rw [hevent] rw [IncidenceProbability.expect_bool_indicator_eq_count_ofFn] congr 2 have hm : List.ofFn (S.satisfied a) = S.sourceList.map (fun e => CloneGap.satisfied e a) := by simp [Source.sourceList, List.map_ofFn, Function.comp_def] rfl simp [hm, List.countP_map] theorem paritySuccess_input (input : SourceEncoding.Input) (a : Fin input.«variables» → Bool) : paritySuccess (incidence (HastadSource.asSource input)) (FiniteDistribution.uniform (Fin (HastadSource.asSource input).occurrences)) a = (Clone100.success input.equations a : ℝ) := by have h := paritySuccess_eq (HastadSource.asSource input) a rw [show (HastadSource.asSource input).sourceList = input.equations from Source.sourceList_ofList input.equations input.nonempty] at h exact h def input (H : RoundTables.BaseTable) (ξ : ℚ) (hξ : 0 < ξ) (F : Formula) : SourceEncoding.Input := Clone100.clonedInput (HastadSource.output H ξ hξ F) def source (H : RoundTables.BaseTable) (ξ : ℚ) (hξ : 0 < ξ) (F : Formula) : Source := HastadSource.asSource (input H ξ hξ F) theorem source_distinct (H : RoundTables.BaseTable) (ξ : ℚ) (hξ : 0 < ξ) (F : Formula) : (source H ξ hξ F).DistinctNames := Clone100.clonedSource_distinct (HastadSource.output H ξ hξ F) theorem source_complete (H : RoundTables.BaseTable) (ξ : ℚ) (hξ : 0 < ξ) (F : Formula) (hF : F.Satisfiable) : ∃ a, 1 - (ξ : ℝ) ≤ paritySuccess (incidence (source H ξ hξ F)) (FiniteDistribution.uniform (Fin (source H ξ hξ F).occurrences)) a := by obtain ⟨a, ha⟩ := HastadSource.complete H ξ hξ F hF refine ⟨Clone100.lift a, ?_⟩ have hvalue : 1 - ξ ≤ Clone100.success (input H ξ hξ F).equations (Clone100.lift a) := by change 1 - ξ ≤ Clone100.success (Clone100.clonedInput (HastadSource.output H ξ hξ F)).equations (Clone100.lift a) rw [Clone100.completeness] exact ha have hreal : 1 - (ξ : ℝ) ≤ (Clone100.success (input H ξ hξ F).equations (Clone100.lift a) : ℝ) := by exact_mod_cast hvalue exact hreal.trans_eq (paritySuccess_input (input H ξ hξ F) (Clone100.lift a)).symm theorem source_sound (H : RoundTables.BaseTable) (certificate : SpectralReturn.SpectralCertificate (ExpanderTables.graph H) (1 / 100 : ℝ)) (ξ : ℚ) (hξ : 0 < ξ) (hξsmall : ξ < 1 / 100) (F : Formula) (hF : ¬ F.Satisfiable) : parityValue (incidence (source H ξ hξ F)) (FiniteDistribution.uniform (Fin (source H ξ hξ F).occurrences)) ≤ 4 / 5 := by unfold parityValue apply Finset.sup'_le intro a _ have h := Clone100.soundness_four_fifths (HastadSource.output H ξ hξ F) ξ hξsmall (HastadSource.sound H certificate ξ hξ F hF) a have hq : Clone100.success (input H ξ hξ F).equations a ≤ (4 / 5 : ℚ) := h have hreal : (Clone100.success (input H ξ hξ F).equations a : ℝ) ≤ 4 / 5 := by simpa only [Rat.cast_div, Rat.cast_ofNat] using ((Rat.cast_le (K := ℝ)).mpr hq) exact (paritySuccess_input (input H ξ hξ F) a).trans_le hreal def ordinaryGame (H : RoundTables.BaseTable) (ξ : ℚ) (hξ : 0 < ξ) (F : Formula) := fourAnswerGame (incidence (source H ξ hξ F)) (FiniteDistribution.uniform (Fin (source H ξ hξ F).occurrences)) theorem ordinaryGame_projection (H : RoundTables.BaseTable) (ξ : ℚ) (hξ : 0 < ξ) (F : Formula) : DFVSGames.Repetition.IsProjection (ordinaryGame H ξ hξ F) := fourAnswerGame_isProjection _ _ (names_distinct _ (source_distinct H ξ hξ F)) theorem ordinaryGame_sound (H : RoundTables.BaseTable) (certificate : SpectralReturn.SpectralCertificate (ExpanderTables.graph H) (1 / 100 : ℝ)) (ξ : ℚ) (hξ : 0 < ξ) (hξsmall : ξ < 1 / 100) (F : Formula) (hF : ¬ F.Satisfiable) : (ordinaryGame H ξ hξ F).value ≤ 14 / 15 := fourAnswerGame_value_le_fourteen_fifteenths _ _ (names_distinct _ (source_distinct H ξ hξ F)) (source_sound H certificate ξ hξ hξsmall F hF) end end DFVSGames.Outer.SourceIncidence end section namespace DFVSGames.Explicit.MachineClone100Table open DFVSGames.Reduction def cloneEquationWords {n : Nat} (e : CloneGap.Equation (Fin n)) (t : Nat × Nat × Nat) : List Nat := [t.1 + 100 * e.first.val, t.2.1 + 100 * e.second.val, t.2.2 + 100 * e.third.val, if e.rhs then 1 else 0] end DFVSGames.Explicit.MachineClone100Table end section namespace DFVSGames.Explicit.MachineClone100Model open DFVSGames.Reduction open Turing open DFVSGames.Foundations.Complexity open DFVSGames.Foundations.Hastad inductive Tape | input | header | counter | field (slot : Fin 4) | scratch | reversed | output deriving DecidableEq, Fintype abbrev Context (D : Nat) := Fin 2 ⊕ (Fin D × Fin 4) abbrev State (D : Nat) := (Unit × Context D) × Option Bool abbrev Alphabet (_ : Tape) := Bool inductive Label (D : Nat) | headerStart (slot : Fin 2) | headerLoop (slot : Fin 2) | setup (context : Context D) | scan (context : Context D) | emit (context control : Context D) (symbol : Bool) | restore (context : Context D) | clearHeader | guard | fieldStart (slot : Fin 4) | fieldLoop (slot : Fin 4) | cleanup (slot : Fin 4) | finalCounter | finalReverse deriving DecidableEq, Fintype def defaultControl (D : Nat) : Context D := .inl 0 def initialState (D : Nat) : State D := (((), defaultControl D), none) def headerTape (j : Fin 2) : Tape := if j.val = 0 then .header else .counter def contextSource {D : Nat} : Context D → Tape | .inl j => headerTape j | .inr p => .field p.2 def contextScale {D : Nat} : Context D → Nat | .inl j => if j.val = 0 then 100 else D | .inr p => if p.2.val < 3 then 100 else 1 def tripleField (t : Nat × Nat × Nat) (j : Fin 4) : Nat := match j.val with | 0 => t.1 | 1 => t.2.1 | 2 => t.2.2 | _ => 0 def contextOffset (triples : List (Nat × Nat × Nat)) : Context triples.length → Nat | .inl _ => 0 | .inr p => tripleField (triples.get p.1) p.2 def affineEmit (scale offset : Nat) : Bool → List Bool | true => List.replicate scale true | false => encodeWord offset def emission (triples : List (Nat × Nat × Nat)) (c : Context triples.length) : Bool → List Bool := affineEmit (contextScale c) (contextOffset triples c) def contextNext {D : Nat} : Context D → Option (Label D) | .inl j => if j.val = 0 then some (.setup (.inl 1)) else some .clearHeader | .inr (i, j) => if hj : j.val + 1 < 4 then some (.setup (.inr (i, ⟨j.val + 1, hj⟩))) else if hi : i.val + 1 < D then some (.setup (.inr (⟨i.val + 1, hi⟩, 0))) else some (.cleanup 0) def cleanupNext {D : Nat} (j : Fin 4) : Label D := if hj : j.val + 1 < 4 then .cleanup ⟨j.val + 1, hj⟩ else .guard def drain {D : Nat} (tape : Tape) (again next : Label D) : TM2.Stmt Alphabet (Label D) (State D) := .pop tape (fun state head => (state.1, head)) (.branch (fun state => state.2.isSome) (.goto fun _ => again) (.load (fun state => (state.1, none)) (.goto fun _ => next))) def program (triples : List (Nat × Nat × Nat)) (nonempty : triples ≠ []) : Label triples.length → TM2.Stmt Alphabet (Label triples.length) (State triples.length) | .headerStart j => SourceMachine.fieldStart (headerTape j) (.headerLoop j) | .headerLoop j => SourceMachine.fieldLoop .input (headerTape j) (.headerLoop j) (if j.val = 0 then some (.headerStart 1) else some (.setup (.inl 0))) | .setup c => .load (fun _ => (((), c), none)) (.goto fun _ => .scan c) | .scan c => MachineTransducerCopy.scanLoop (contextSource c) .scratch (defaultControl _) (fun q b => .emit c q b) (.restore c) | .emit c q b => MachineTransducerCopy.emitter .reversed (fun q _ => q) (emission triples) (.scan c) q b | .restore c => MachineTransfer.loopAt .scratch (contextSource c) id false (.restore c) (contextNext c) | .clearHeader => drain .header .clearHeader .guard | .guard => MachineUnaryCounter.guard .counter (.fieldStart 0) .finalCounter | .fieldStart j => SourceMachine.fieldStart (.field j) (.fieldLoop j) | .fieldLoop j => SourceMachine.fieldLoop .input (.field j) (.fieldLoop j) (SourceMachine.fieldNext Label.fieldStart (some (.setup (.inr (⟨0, List.length_pos_iff.mpr nonempty⟩, 0)))) j) | .cleanup j => drain (.field j) (.cleanup j) (cleanupNext j) | .finalCounter => .pop .counter (fun state _ => (state.1, none)) (.goto fun _ => .finalReverse) | .finalReverse => MachineTransfer.loopAt .reversed .output id false .finalReverse none def machine (triples : List (Nat × Nat × Nat)) (nonempty : triples ≠ []) : FinTM2 where K := Tape k₀ := .input k₁ := .output Γ := Alphabet Λ := Label triples.length main := .headerStart 0 σ := State triples.length initialState := initialState _ m := program triples nonempty end DFVSGames.Explicit.MachineClone100Model end section namespace DFVSGames.Explicit.MachineClone100Context open DFVSGames.Reduction open Turing open DFVSGames.Foundations.Complexity open MachineClone100Model theorem contextSource_ne_scratch {D : Nat} (context : Context D) : contextSource context ≠ Tape.scratch := by cases context with | inl slot => simp only [contextSource, headerTape] split <;> simp | inr pair => simp [contextSource] theorem contextSource_ne_reversed {D : Nat} (context : Context D) : contextSource context ≠ Tape.reversed := by cases context with | inl slot => simp only [contextSource, headerTape] split <;> simp | inr pair => simp [contextSource] def contextTapes (triples : List (Nat × Nat × Nat)) (context : Context triples.length) (base : Tape → List Bool) : Tape → List Bool := Function.update base .reversed ((MachineTransducer.output (fun control _ => control) (emission triples) context (base (contextSource context))).reverse ++ base .reversed) @[simp] theorem contextTapes_reversed (triples : List (Nat × Nat × Nat)) (context : Context triples.length) (base : Tape → List Bool) : contextTapes triples context base .reversed = (MachineTransducer.output (fun control _ => control) (emission triples) context (base (contextSource context))).reverse ++ base .reversed := by simp [contextTapes] theorem contextTapes_other (triples : List (Nat × Nat × Nat)) (context : Context triples.length) (base : Tape → List Bool) (tape : Tape) (different : tape ≠ .reversed) : contextTapes triples context base tape = base tape := by simp [contextTapes, different] @[simp] theorem contextTapes_source (triples : List (Nat × Nat × Nat)) (context : Context triples.length) (base : Tape → List Bool) : contextTapes triples context base (contextSource context) = base (contextSource context) := contextTapes_other triples context base _ (contextSource_ne_reversed context) @[simp] theorem contextTapes_scratch (triples : List (Nat × Nat × Nat)) (context : Context triples.length) (base : Tape → List Bool) : contextTapes triples context base .scratch = base .scratch := contextTapes_other triples context base _ (by decide) theorem setupStep (triples : List (Nat × Nat × Nat)) (nonempty : triples ≠ []) (context : Context triples.length) (base : Tape → List Bool) (state : State triples.length) : TM2.step (program triples nonempty) ⟨some (.setup context), state, base⟩ = some ⟨some (.scan context), (((), context), none), base⟩ := rfl theorem contextTrace (triples : List (Nat × Nat × Nat)) (nonempty : triples ≠ []) (context : Context triples.length) (base : Tape → List Bool) (scratchEmpty : base .scratch = []) (state : State triples.length) : (MachineComposition.advance (TM2.step (program triples nonempty)))^[ 3 * (base (contextSource context)).length + 3] (some ⟨some (.setup context), state, base⟩) = some ⟨contextNext context, initialState _, contextTapes triples context base⟩ := by have copied := MachineTransducerCopy.transduceCopyTrace (contextSource context) Tape.scratch Tape.reversed (contextSource_ne_scratch context) (contextSource_ne_reversed context) (by decide) (defaultControl triples.length) (fun control _ => control) (emission triples) (.scan context) (.restore context) (fun control symbol => .emit context control symbol) (contextNext context) (program triples nonempty) rfl (by intros; rfl) rfl base scratchEmpty () context none rw [show 3 * (base (contextSource context)).length + 3 = (3 * (base (contextSource context)).length + 2) + 1 by omega, Function.iterate_succ_apply] change (MachineComposition.advance (TM2.step (program triples nonempty)))^[ 3 * (base (contextSource context)).length + 2] (TM2.step (program triples nonempty) ⟨some (.setup context), state, base⟩) = _ rw [setupStep] exact copied def contextInTime (triples : List (Nat × Nat × Nat)) (nonempty : triples ≠ []) (context : Context triples.length) (base : Tape → List Bool) (scratchEmpty : base .scratch = []) (state : State triples.length) : StateTransition.EvalsToInTime (TM2.step (program triples nonempty)) ⟨some (.setup context), state, base⟩ (some ⟨contextNext context, initialState _, contextTapes triples context base⟩) (3 * (base (contextSource context)).length + 3) where steps := 3 * (base (contextSource context)).length + 3 evals_in_steps := contextTrace triples nonempty context base scratchEmpty state steps_le_m := Nat.le_refl _ @[simp] theorem contextInTime_steps (triples : List (Nat × Nat × Nat)) (nonempty : triples ≠ []) (context : Context triples.length) (base : Tape → List Bool) (scratchEmpty : base .scratch = []) (state : State triples.length) : (contextInTime triples nonempty context base scratchEmpty state).steps = 3 * (base (contextSource context)).length + 3 := rfl end DFVSGames.Explicit.MachineClone100Context end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end end OAI