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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