import Mathlib import OAI.Computability.MaxCut.Games.Target namespace OAI /-! Exact bridges between the integer-encoded target gaps and acceptance rates. Repeated constraint entries retain their multiplicity in every definition. -/ namespace MaxCutGames.Integration.GapSemantics open MaxCutGames.Foundations.Target def errorValue (e : RationalError) : ℚ := (e.numerator : ℚ) / e.denominator def satisfactionRate {q : Nat} (g : Instance q) (labeling : Fin g.vertices → Fin q) : ℚ := (countSatisfied labeling g.constraints : ℚ) / g.constraints.length theorem countSatisfied_eq_sum {n q : Nat} (labeling : Fin n → Fin q) (constraints : List (Constraint n q)) : countSatisfied labeling constraints = (constraints.map (fun c => if c.satisfied labeling then (1 : Nat) else 0)).sum := by induction constraints with | nil => rfl | cons c cs ih => simp [countSatisfied, ih] theorem countSatisfied_ofFn {m n q : Nat} (labeling : Fin n → Fin q) (constraints : Fin m → Constraint n q) : countSatisfied labeling (List.ofFn constraints) = ∑ i, if (constraints i).satisfied labeling then (1 : Nat) else 0 := by rw [countSatisfied_eq_sum, List.map_ofFn, List.sum_ofFn] rfl def uniformConstraintAcceptance {q : Nat} (g : Instance q) (labeling : Fin g.vertices → Fin q) : ℚ := Finset.univ.expect (fun i : Fin g.constraints.length => if g.constraints[i.val].satisfied labeling then (1 : ℚ) else 0) /-- Uniform sampling is over occurrence indices, so equal constraints are counted with exactly their stored multiplicity. -/ theorem uniformConstraintAcceptance_eq_rate {q : Nat} (g : Instance q) (labeling : Fin g.vertices → Fin q) : uniformConstraintAcceptance g labeling = satisfactionRate g labeling := by have hcount := countSatisfied_ofFn labeling (fun i : Fin g.constraints.length => g.constraints[i.val]) rw [List.ofFn_getElem] at hcount unfold uniformConstraintAcceptance satisfactionRate rw [Fintype.expect_eq_sum_div_card, Fintype.card_fin, hcount] congr 1 simp theorem errorValue_pos (e : RationalError) : 0 < errorValue e := by apply div_pos · exact_mod_cast e.numeratorPositive · exact_mod_cast e.denominatorPositive theorem errorValue_lt_half (e : RationalError) : errorValue e < 1 / 2 := by have hd : (0 : ℚ) < e.denominator := by exact_mod_cast e.denominatorPositive have hn : (2 : ℚ) * e.numerator < e.denominator := by exact_mod_cast e.belowHalf unfold errorValue apply (div_lt_iff₀ hd).2 linarith theorem satisfactionRate_nonneg {q : Nat} (g : Instance q) (labeling : Fin g.vertices → Fin q) : 0 ≤ satisfactionRate g labeling := by apply div_nonneg <;> exact Nat.cast_nonneg _ theorem satisfactionRate_le_one {q : Nat} (g : Instance q) (labeling : Fin g.vertices → Fin q) : satisfactionRate g labeling ≤ 1 := by have hm : (0 : ℚ) < g.constraints.length := by exact_mod_cast g.constraintCount_positive unfold satisfactionRate rw [div_le_iff₀ hm, one_mul] exact_mod_cast countSatisfied_le_length labeling g.constraints theorem completeAt_iff {q : Nat} (e : RationalError) (g : Instance q) : CompleteAt e g ↔ ∃ labeling, 1 - errorValue e ≤ satisfactionRate g labeling := by unfold CompleteAt apply exists_congr intro labeling have hd : (0 : ℚ) < e.denominator := by exact_mod_cast e.denominatorPositive have hm : (0 : ℚ) < g.constraints.length := by exact_mod_cast g.constraintCount_positive have hsub : (1 : ℚ) - (e.numerator : ℚ) / e.denominator = ((e.denominator : ℚ) - e.numerator) / e.denominator := by rw [sub_div, div_self (ne_of_gt hd)] unfold errorValue satisfactionRate rw [hsub, div_le_div_iff₀ hd hm] constructor · intro h have hq : (e.denominator : ℚ) * g.constraints.length ≤ (e.denominator : ℚ) * countSatisfied labeling g.constraints + (e.numerator : ℚ) * g.constraints.length := by exact_mod_cast h nlinarith · intro h have hq : (e.denominator : ℚ) * g.constraints.length ≤ (e.denominator : ℚ) * countSatisfied labeling g.constraints + (e.numerator : ℚ) * g.constraints.length := by nlinarith exact_mod_cast hq theorem soundAt_iff {q : Nat} (e : RationalError) (g : Instance q) : SoundAt e g ↔ ∀ labeling, satisfactionRate g labeling ≤ errorValue e := by unfold SoundAt apply forall_congr' intro labeling have hd : (0 : ℚ) < e.denominator := by exact_mod_cast e.denominatorPositive have hm : (0 : ℚ) < g.constraints.length := by exact_mod_cast g.constraintCount_positive unfold errorValue satisfactionRate rw [div_le_div_iff₀ hm hd] constructor · intro h have hq : (e.denominator : ℚ) * countSatisfied labeling g.constraints ≤ (e.numerator : ℚ) * g.constraints.length := by exact_mod_cast h nlinarith · intro h have hq : (e.denominator : ℚ) * countSatisfied labeling g.constraints ≤ (e.numerator : ℚ) * g.constraints.length := by nlinarith exact_mod_cast hq /-- Strengthening either error threshold implies the requested weaker gap. -/ theorem completeAt_mono {q : Nat} {e e' : RationalError} {g : Instance q} (hee : errorValue e ≤ errorValue e') (hg : CompleteAt e g) : CompleteAt e' g := by obtain ⟨labeling, hl⟩ := (completeAt_iff e g).1 hg apply (completeAt_iff e' g).2 exact ⟨labeling, le_trans (sub_le_sub_left hee 1) hl⟩ theorem soundAt_mono {q : Nat} {e e' : RationalError} {g : Instance q} (hee : errorValue e ≤ errorValue e') (hg : SoundAt e g) : SoundAt e' g := by apply (soundAt_iff e' g).2 intro labeling exact le_trans ((soundAt_iff e g).1 hg labeling) hee /-- The same target gap is obtained when the analysis uses real expectations. -/ theorem completeAt_iff_real {q : Nat} (e : RationalError) (g : Instance q) : CompleteAt e g ↔ ∃ labeling, 1 - (errorValue e : ℝ) ≤ (countSatisfied labeling g.constraints : ℝ) / g.constraints.length := by rw [completeAt_iff] apply exists_congr intro labeling simpa [satisfactionRate] using (Rat.cast_le (K := ℝ) (p := 1 - errorValue e) (q := satisfactionRate g labeling)).symm theorem soundAt_iff_real {q : Nat} (e : RationalError) (g : Instance q) : SoundAt e g ↔ ∀ labeling, (countSatisfied labeling g.constraints : ℝ) / g.constraints.length ≤ (errorValue e : ℝ) := by rw [soundAt_iff] apply forall_congr' intro labeling simpa [satisfactionRate] using (Rat.cast_le (K := ℝ) (p := satisfactionRate g labeling) (q := errorValue e)).symm end MaxCutGames.Integration.GapSemantics /-! Changing finite encodings preserves the actual Unique Games instance gaps. Vertex names may be permuted and constraint occurrences may be reordered. -/ namespace MaxCutGames.Integration.InstanceEquivalences open MaxCutGames.Foundations.Target open GapSemantics def renameConstraint {n m q : Nat} (e : Fin n ≃ Fin m) (c : Constraint n q) : Constraint m q where source := e c.source target := e c.target permutation := c.permutation @[simp] theorem renameConstraint_satisfied {n m q : Nat} (e : Fin n ≃ Fin m) (c : Constraint n q) (labeling : Fin m → Fin q) : (renameConstraint e c).satisfied labeling = c.satisfied (labeling ∘ e) := rfl theorem rename_count {n m q : Nat} (e : Fin n ≃ Fin m) (constraints : List (Constraint n q)) (labeling : Fin m → Fin q) : countSatisfied labeling (constraints.map (renameConstraint e)) = countSatisfied (labeling ∘ e) constraints := by induction constraints with | nil => rfl | cons c cs ih => by_cases hc : c.satisfied (labeling ∘ e) = true <;> simp [countSatisfied, ih, hc] def renameInstance {q m : Nat} (g : Instance q) (e : Fin g.vertices ≃ Fin m) : Instance q where vertices := m constraints := g.constraints.map (renameConstraint e) nonempty := by intro h exact g.nonempty (List.map_eq_nil_iff.mp h) theorem countSatisfied_perm {n q : Nat} (labeling : Fin n → Fin q) {constraints constraints' : List (Constraint n q)} (h : constraints.Perm constraints') : countSatisfied labeling constraints = countSatisfied labeling constraints' := by rw [countSatisfied_eq_sum, countSatisfied_eq_sum] exact (h.map (fun c => if c.satisfied labeling then (1 : Nat) else 0)).sum_eq /-- This statement is directly usable by an executable adapter: only its vertex equivalence and its permutation of the explicit edge list are needed. -/ theorem satisfactionRate_eq_of_rename_perm {q : Nat} (g h : Instance q) (e : Fin g.vertices ≃ Fin h.vertices) (hp : h.constraints.Perm (g.constraints.map (renameConstraint e))) (labeling : Fin h.vertices → Fin q) : satisfactionRate h labeling = satisfactionRate g (labeling ∘ e) := by have hcount := countSatisfied_perm labeling hp rw [rename_count] at hcount have hlength := hp.length_eq simp only [List.length_map] at hlength unfold satisfactionRate rw [hcount, hlength] theorem completeAt_iff_of_rename_perm {q : Nat} (error : RationalError) (g h : Instance q) (e : Fin g.vertices ≃ Fin h.vertices) (hp : h.constraints.Perm (g.constraints.map (renameConstraint e))) : CompleteAt error h ↔ CompleteAt error g := by rw [completeAt_iff, completeAt_iff] constructor · rintro ⟨labeling, hl⟩ refine ⟨labeling ∘ e, ?_⟩ rwa [satisfactionRate_eq_of_rename_perm g h e hp] at hl · rintro ⟨labeling, hl⟩ refine ⟨labeling ∘ e.symm, ?_⟩ rw [satisfactionRate_eq_of_rename_perm g h e hp] simpa [Function.comp_def] using hl theorem soundAt_iff_of_rename_perm {q : Nat} (error : RationalError) (g h : Instance q) (e : Fin g.vertices ≃ Fin h.vertices) (hp : h.constraints.Perm (g.constraints.map (renameConstraint e))) : SoundAt error h ↔ SoundAt error g := by rw [soundAt_iff, soundAt_iff] constructor · intro hs labeling have hl := hs (labeling ∘ e.symm) rw [satisfactionRate_eq_of_rename_perm g h e hp] at hl simpa [Function.comp_def] using hl · intro hs labeling rw [satisfactionRate_eq_of_rename_perm g h e hp] exact hs (labeling ∘ e) theorem rename_rate {q m : Nat} (g : Instance q) (e : Fin g.vertices ≃ Fin m) (labeling : Fin m → Fin q) : satisfactionRate (renameInstance g e) labeling = satisfactionRate g (labeling ∘ e) := satisfactionRate_eq_of_rename_perm g (renameInstance g e) e (.refl _) labeling theorem completeAt_rename_iff {q m : Nat} (error : RationalError) (g : Instance q) (e : Fin g.vertices ≃ Fin m) : CompleteAt error (renameInstance g e) ↔ CompleteAt error g := completeAt_iff_of_rename_perm error g (renameInstance g e) e (.refl _) theorem soundAt_rename_iff {q m : Nat} (error : RationalError) (g : Instance q) (e : Fin g.vertices ≃ Fin m) : SoundAt error (renameInstance g e) ↔ SoundAt error g := soundAt_iff_of_rename_perm error g (renameInstance g e) e (.refl _) end MaxCutGames.Integration.InstanceEquivalences end OAI