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Add lean source and binary files (part 126)
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import OAI.Probability.RandomSAT.Binomial
namespace OAI
/-!
Deletion and erasure of a coordinate, permutation symmetry, and the integrated
forcing bound.
-/
namespace FixedClauseThreshold
open Finset
noncomputable section
attribute [local instance] Classical.propDecidable
abbrev SplitClause (v k : ℕ) := ProperClause v k ⊕ (ProperClause v (k - 1) × Bool)
def DeletedSatisfied {v k : ℕ} (σ : Assignment v) : SplitClause v k → Prop
| .inl C => SatisfiesClause σ C
| .inr _ => True
def ErasedSatisfied {v k : ℕ} (σ : Assignment v) : SplitClause v k → Prop
| .inl C => SatisfiesClause σ C
| .inr Q => SatisfiesClause σ Q.1
def deletedSolutions {v k m : ℕ} (S : Finset (Assignment v)) (F : Fin m → SplitClause v k) :
Finset (Assignment v) := S.filter (fun σ => ∀ i, DeletedSatisfied σ (F i))
def erasedSolutions {v k m : ℕ} (S : Finset (Assignment v)) (F : Fin m → SplitClause v k) :
Finset (Assignment v) := S.filter (fun σ => ∀ i, ErasedSatisfied σ (F i))
@[simp] theorem mem_deletedSolutions {v k m : ℕ} (S : Finset (Assignment v))
(F : Fin m → SplitClause v k) (σ : Assignment v) :
σ ∈ deletedSolutions S F ↔ σ ∈ S ∧ ∀ i, DeletedSatisfied σ (F i) := by
simp [deletedSolutions]
@[simp] theorem mem_erasedSolutions {v k m : ℕ} (S : Finset (Assignment v))
(F : Fin m → SplitClause v k) (σ : Assignment v) :
σ ∈ erasedSolutions S F ↔ σ ∈ S ∧ ∀ i, ErasedSatisfied σ (F i) := by
simp [erasedSolutions]
theorem erasedSolutions_subset {v k m : ℕ} (S : Finset (Assignment v))
(F : Fin m → SplitClause v k) : erasedSolutions S F ⊆ deletedSolutions S F := by
intro σ hσ
rw [mem_erasedSolutions] at hσ
rw [mem_deletedSolutions]
refine ⟨hσ.1, fun i => ?_⟩
have hi := hσ.2 i
cases hFi : F i with
| inl C => simpa [ErasedSatisfied, DeletedSatisfied, hFi] using hi
| inr Q => trivial
theorem satisfies_head_split {v k : ℕ} (hk : 0 < k) (σ : Assignment v)
(b : Bool) (X : SplitClause v k) :
SatisfiesClause (Fin.cons b σ) ((clauseHeadEquiv hk).symm X) ↔
match X with
| .inl C => SatisfiesClause σ C
| .inr Q => Q.2 = b ∨ SatisfiesClause σ Q.1 := by
cases X with
| inl C => exact satisfiesClause_prependAbsent σ b C
| inr Q => exact satisfiesClause_prependPresent hk σ b Q.2 Q.1
theorem head_erasure_extension {v k m : ℕ} (hk : 0 < k)
(F : Fin m → SplitClause v k) {σ : Assignment v}
(hσ : σ ∈ erasedSolutions Finset.univ F) (b : Bool) :
Satisfies (Fin.cons b σ) (fun i => (clauseHeadEquiv hk).symm (F i)) := by
intro i
rw [satisfies_head_split]
have hi := ((mem_erasedSolutions _ _ _).mp hσ).2 i
cases hFi : F i with
| inl C => simpa [ErasedSatisfied, hFi] using hi
| inr Q => exact Or.inr (by simpa [ErasedSatisfied, hFi] using hi)
theorem head_deletion_projection {v k m : ℕ} (hk : 0 < k)
(F : Fin m → SplitClause v k) {σ : Assignment (v + 1)}
(hσ : Satisfies σ (fun i => (clauseHeadEquiv hk).symm (F i))) :
Fin.tail σ ∈ deletedSolutions Finset.univ F := by
rw [mem_deletedSolutions]
refine ⟨Finset.mem_univ _, fun i => ?_⟩
have hi := hσ i
rw [← Fin.cons_self_tail σ, satisfies_head_split] at hi
cases hFi : F i with
| inl C => simpa [DeletedSatisfied, hFi] using hi
| inr Q => trivial
theorem head_forced_reduction {v k m : ℕ} (hk : 0 < k) (F : Fin m → SplitClause v k)
(hf : (0 : Fin (v + 1)) ∈ forcedVariables
(restrictSolutions Finset.univ (fun i => (clauseHeadEquiv hk).symm (F i)))) :
(deletedSolutions Finset.univ F).Nonempty ∧ ¬ (erasedSolutions Finset.univ F).Nonempty := by
simp only [forcedVariables, Finset.mem_filter, Finset.mem_univ, true_and] at hf
obtain ⟨σ, hσ⟩ := hf.1
have hsat : Satisfies σ (fun i => (clauseHeadEquiv hk).symm (F i)) :=
((mem_restrictSolutions _ _ _).mp hσ).2
refine ⟨⟨Fin.tail σ, head_deletion_projection hk F hsat⟩, ?_⟩
rintro ⟨τ, hτ⟩
obtain ⟨b, hb⟩ := hf.2
have hext (t : Bool) : Fin.cons t τ ∈
restrictSolutions Finset.univ (fun i => (clauseHeadEquiv hk).symm (F i)) := by
rw [mem_restrictSolutions]
exact ⟨Finset.mem_univ _, head_erasure_extension hk F hτ t⟩
have hfalse := hb _ (hext false)
have htrue := hb _ (hext true)
simp only [Fin.cons_zero] at hfalse htrue
cases b <;> simp_all
theorem head_forced_indicator_le {v k m : ℕ} (hk : 0 < k) (F : Fin m → SplitClause v k) :
(if (0 : Fin (v + 1)) ∈ forcedVariables
(restrictSolutions Finset.univ (fun i => (clauseHeadEquiv hk).symm (F i)))
then (1 : ℝ) else 0) ≤
alive (deletedSolutions Finset.univ F) - alive (erasedSolutions Finset.univ F) := by
split
· rename_i h
obtain ⟨hd, he⟩ := head_forced_reduction hk F h
simp [alive, hd, he]
· have h := alive_mono (erasedSolutions_subset Finset.univ F)
linarith
theorem deletedSolutions_cons_inl {v k m : ℕ} (S : Finset (Assignment v))
(C : ProperClause v k) (F : Fin m → SplitClause v k) :
deletedSolutions S (Fin.cons (.inl C) F) = deletedSolutions (addClause S C) F := by
ext σ
simp only [mem_deletedSolutions, mem_addClause, Fin.forall_fin_succ,
Fin.cons_zero, Fin.cons_succ, DeletedSatisfied]
tauto
theorem deletedSolutions_cons_inr {v k m : ℕ} (S : Finset (Assignment v))
(Q : ProperClause v (k - 1)) (b : Bool) (F : Fin m → SplitClause v k) :
deletedSolutions S (Fin.cons (.inr (Q, b)) F) = deletedSolutions S F := by
ext σ
simp only [mem_deletedSolutions, Fin.forall_fin_succ,
Fin.cons_zero, Fin.cons_succ, DeletedSatisfied, true_and]
theorem erasedSolutions_cons_inl {v k m : ℕ} (S : Finset (Assignment v))
(C : ProperClause v k) (F : Fin m → SplitClause v k) :
erasedSolutions S (Fin.cons (.inl C) F) = erasedSolutions (addClause S C) F := by
ext σ
simp only [mem_erasedSolutions, mem_addClause, Fin.forall_fin_succ,
Fin.cons_zero, Fin.cons_succ, ErasedSatisfied]
tauto
theorem erasedSolutions_cons_inr {v k m : ℕ} (S : Finset (Assignment v))
(Q : ProperClause v (k - 1)) (b : Bool) (F : Fin m → SplitClause v k) :
erasedSolutions S (Fin.cons (.inr (Q, b)) F) = erasedSolutions (addClause S Q) F := by
ext σ
simp only [mem_erasedSolutions, mem_addClause, Fin.forall_fin_succ,
Fin.cons_zero, Fin.cons_succ, ErasedSatisfied]
tauto
def deletedMean {v k : ℕ} (hk : 0 < k) (m : ℕ) (S : Finset (Assignment v)) : ℝ :=
uniformMean (fun F : Formula (v + 1) k m =>
alive (deletedSolutions S (fun i => clauseHeadSplit hk (F i))))
def erasedMean {v k : ℕ} (hk : 0 < k) (m : ℕ) (S : Finset (Assignment v)) : ℝ :=
uniformMean (fun F : Formula (v + 1) k m =>
alive (erasedSolutions S (fun i => clauseHeadSplit hk (F i))))
@[simp] theorem deletedMean_zero {v k : ℕ} (hk : 0 < k) (S : Finset (Assignment v)) :
deletedMean hk 0 S = alive S := by
have h (F : Formula (v + 1) k 0) :
deletedSolutions S (fun i => clauseHeadSplit hk (F i)) = S := by
ext σ
simp
simp only [deletedMean, h, uniformMean_const]
@[simp] theorem erasedMean_zero {v k : ℕ} (hk : 0 < k) (S : Finset (Assignment v)) :
erasedMean hk 0 S = alive S := by
have h (F : Formula (v + 1) k 0) :
erasedSolutions S (fun i => clauseHeadSplit hk (F i)) = S := by
ext σ
simp
simp only [erasedMean, h, uniformMean_const]
theorem deletedMean_succ {v k m : ℕ} (hk : 0 < k) (hkv : k ≤ v)
(S : Finset (Assignment v)) :
deletedMean hk (m + 1) S =
(1 - (k : ℝ) / (v + 1)) * clauseAverage k (deletedMean hk m) S +
((k : ℝ) / (v + 1)) * deletedMean hk m S := by
let : Nonempty (ProperClause v (k - 1)) := nonempty_properClause (by omega)
unfold deletedMean
rw [uniformMean_fin_succ]
have hcons (C : ProperClause (v + 1) k) (F : Formula (v + 1) k m) :
(fun i : Fin (m + 1) => clauseHeadSplit hk ((Fin.cons C F : Formula (v + 1) k (m + 1)) i)) =
Fin.cons (clauseHeadSplit hk C) (fun i => clauseHeadSplit hk (F i)) := by
funext i
refine Fin.cases ?_ (fun _ => ?_) i <;> rfl
simp only [hcons]
rw [clauseHead_mean hk hkv (fun X => uniformMean (fun F : Formula (v + 1) k m =>
alive (deletedSolutions S (Fin.cons X (fun i => clauseHeadSplit hk (F i))))))]
simp only [deletedSolutions_cons_inl, deletedSolutions_cons_inr,
uniformMean_const]
rfl
theorem erasedMean_succ {v k m : ℕ} (hk : 0 < k) (hkv : k ≤ v)
(S : Finset (Assignment v)) :
erasedMean hk (m + 1) S =
(1 - (k : ℝ) / (v + 1)) * clauseAverage k (erasedMean hk m) S +
((k : ℝ) / (v + 1)) * clauseAverage (k - 1) (erasedMean hk m) S := by
unfold erasedMean
rw [uniformMean_fin_succ]
have hcons (C : ProperClause (v + 1) k) (F : Formula (v + 1) k m) :
(fun i : Fin (m + 1) => clauseHeadSplit hk ((Fin.cons C F : Formula (v + 1) k (m + 1)) i)) =
Fin.cons (clauseHeadSplit hk C) (fun i => clauseHeadSplit hk (F i)) := by
funext i
refine Fin.cases ?_ (fun _ => ?_) i <;> rfl
simp only [hcons]
rw [clauseHead_mean hk hkv (fun X => uniformMean (fun F : Formula (v + 1) k m =>
alive (erasedSolutions S (Fin.cons X (fun i => clauseHeadSplit hk (F i))))))]
simp only [erasedSolutions_cons_inl, erasedSolutions_cons_inr,
uniformMean_const]
rfl
theorem clauseAverage_binomialMean {v k : ℕ} (p : ℝ) (m : ℕ)
(f : ℕ → Finset (Assignment v) → ℝ) (S : Finset (Assignment v)) :
clauseAverage k (fun T => binomialMean p m (fun d => f d T)) S =
binomialMean p m (fun d => clauseAverage k (f d) S) :=
uniformMean_binomialMean p m _
theorem clauseAverage_survival {v k t : ℕ} (S : Finset (Assignment v)) :
clauseAverage k (survival k t) S = survival k (t + 1) S :=
(survival_succ S).symm
theorem clauseAverage_short_survival {n k t : ℕ} (hk : 3 ≤ k) (hn : k + 1 ≤ n)
(S : Finset (Assignment (n - 1))) :
survival k (t + replacementBlock n k) S - replacementError n k ≤
clauseAverage (k - 1) (survival k t) S := by
have h := clauseAverage_iterate_mono (k := k) (m := t)
(shorter_survival_replacement hk hn) S
rw [clauseAverage_iterate_sub_const (by omega)] at h
dsimp only at h
rw [survival_add] at h
have he : clauseAverage (k - 1) (survival k t) S =
((clauseAverage k)^[t] (survival (k - 1) 1)) S :=
survival_shift (m := 1) (d := t) S
rw [he]
simpa using h
theorem deletedMean_eq_binomial {v k m : ℕ} (hk : 0 < k) (hkv : k ≤ v)
(S : Finset (Assignment v)) :
deletedMean hk m S = binomialMean ((k : ℝ) / (v + 1)) m
(fun d => survival k (m - d) S) := by
induction m generalizing S with
| zero => simp [binomialMean]
| succ m ih =>
rw [deletedMean_succ hk hkv]
have hfun : deletedMean hk m =
(fun T : Finset (Assignment v) => binomialMean ((k : ℝ) / (v + 1)) m
(fun d => survival k (m - d) T)) := funext ih
rw [hfun, clauseAverage_binomialMean]
change _ = (1 - (k : ℝ) / (v + 1)) * _ + ((k : ℝ) / (v + 1)) * _
congr 1
· congr 1
apply binomialMean_congr
intro d hd
rw [clauseAverage_survival]
congr 1
omega
· congr 1
apply binomialMean_congr
intro d _
congr 1
omega
theorem erasedMean_replacement {n k m : ℕ} (hk : 3 ≤ k) (hn : k + 1 ≤ n)
(S : Finset (Assignment (n - 1))) :
binomialMean ((k : ℝ) / n) m (fun d =>
survival k (m - d + replacementBlock n k * d) S -
(d : ℝ) * replacementError n k) ≤ erasedMean (by omega : 0 < k) m S := by
have hkn : k ≤ n - 1 := by omega
have hshort : k - 1 ≤ n - 1 := by omega
have hn1 : n - 1 + 1 = n := by omega
have hp0 : 0 ≤ (k : ℝ) / n := by positivity
have hp1 : (k : ℝ) / n ≤ 1 := by
apply (div_le_one (by exact_mod_cast (by omega : 0 < n))).mpr
exact_mod_cast (by omega : k ≤ n)
induction m generalizing S with
| zero => simp [binomialMean]
| succ m ih =>
rw [erasedMean_succ (by omega) hkn]
have hden : ((n - 1 : ℕ) : ℝ) + 1 = n := by exact_mod_cast hn1
rw [hden]
have hlong := clauseAverage_mono (k := k) ih S
have hshorter := clauseAverage_mono (k := k - 1) ih S
rw [clauseAverage_binomialMean] at hlong hshorter
have ha : binomialMean ((k : ℝ) / n) m (fun d =>
survival k (m + 1 - d + replacementBlock n k * d) S -
(d : ℝ) * replacementError n k) ≤ clauseAverage k (erasedMean (by omega : 0 < k) m) S := by
calc
_ = binomialMean ((k : ℝ) / n) m (fun d => clauseAverage k
(fun T => survival k (m - d + replacementBlock n k * d) T -
(d : ℝ) * replacementError n k) S) := by
apply binomialMean_congr
intro d hd
rw [clauseAverage_sub_const hkn, clauseAverage_survival]
congr 2
omega
_ ≤ _ := hlong
have hb : binomialMean ((k : ℝ) / n) m (fun d =>
survival k (m + 1 - (d + 1) + replacementBlock n k * (d + 1)) S -
((d + 1 : ℕ) : ℝ) * replacementError n k) ≤
clauseAverage (k - 1) (erasedMean (by omega : 0 < k) m) S := by
apply le_trans _ hshorter
apply binomialMean_mono hp0 hp1
intro d _
rw [clauseAverage_sub_const hshort]
have h := clauseAverage_short_survival (t := m - d + replacementBlock n k * d) hk hn S
have he : m + 1 - (d + 1) + replacementBlock n k * (d + 1) =
m - d + replacementBlock n k * d + replacementBlock n k := by
rw [Nat.mul_add, Nat.mul_one]
omega
rw [he]
push_cast
linarith
exact add_le_add (mul_le_mul_of_nonneg_left ha (sub_nonneg.mpr hp1))
(mul_le_mul_of_nonneg_left hb hp0)
theorem replacementBlock_pos {n k : ℕ} (hn : 0 < n) (hk : 0 < k) :
1 ≤ replacementBlock n k := by
have hp : 0 < 2 * (k : ℝ) * replacementScale n k :=
mul_pos (mul_pos (by norm_num) (by exact_mod_cast hk)) (replacementScale_pos hn)
exact Nat.ceil_pos.mpr hp
theorem replacementError_nonneg (n k : ℕ) : 0 ≤ replacementError n k := by
unfold replacementError replacementScale
positivity
def headForcedMean (v k m : ℕ) : ℝ :=
uniformMean (fun F : Formula (v + 1) k m =>
if (0 : Fin (v + 1)) ∈ forcedVariables (restrictSolutions Finset.univ F)
then (1 : ℝ) else 0)
theorem headForcedMean_le_difference {v k m : ℕ} (hk : 0 < k) :
headForcedMean v k m ≤ deletedMean (v := v) hk m Finset.univ - erasedMean (v := v) hk m Finset.univ := by
unfold headForcedMean deletedMean erasedMean
rw [← uniformMean_sub]
apply uniformMean_mono
intro F
have he : (fun i => (clauseHeadEquiv hk).symm (clauseHeadSplit hk (F i))) = F := by
funext i
exact (clauseHeadEquiv hk).symm_apply_apply (F i)
have h := head_forced_indicator_le hk (fun i => clauseHeadSplit hk (F i))
simpa only [he] using h
theorem headForcedMean_replacement {v k m : ℕ} (hk : 3 ≤ k) (hkv : k ≤ v) :
headForcedMean v k m ≤
binomialMean ((k : ℝ) / (v + 1)) m
(replacementDifference (properSATProbability v k) (replacementBlock (v + 1) k) m) +
((m : ℝ) * ((k : ℝ) / (v + 1))) * replacementError (v + 1) k := by
have hdel := deletedMean_eq_binomial (m := m) (by omega : 0 < k) hkv Finset.univ
have her := erasedMean_replacement (n := v + 1) (m := m) hk (by omega) Finset.univ
simp only [Nat.cast_add, Nat.cast_one] at her
have hforced := headForcedMean_le_difference (v := v) (m := m) (by omega : 0 < k)
rw [hdel] at hforced
have hsub : (binomialMean ((k : ℝ) / (v + 1)) m (fun d => survival k (m - d)
(Finset.univ : Finset (Assignment v)))) -
binomialMean ((k : ℝ) / (v + 1)) m (fun d =>
survival k (m - d + replacementBlock (v + 1) k * d)
(Finset.univ : Finset (Assignment v)) -
(d : ℝ) * replacementError (v + 1) k) =
binomialMean ((k : ℝ) / (v + 1)) m
(replacementDifference (properSATProbability v k) (replacementBlock (v + 1) k) m) +
((m : ℝ) * ((k : ℝ) / (v + 1))) * replacementError (v + 1) k := by
rw [← binomialMean_sub]
have hg : 1 ≤ replacementBlock (v + 1) k := replacementBlock_pos (by omega) (by omega)
calc
_ = binomialMean ((k : ℝ) / (v + 1)) m (fun d =>
replacementDifference (properSATProbability v k) (replacementBlock (v + 1) k) m d +
(d : ℝ) * replacementError (v + 1) k) := by
apply binomialMean_congr
intro d hd
unfold replacementDifference
rw [properSATProbability_eq_survival, properSATProbability_eq_survival]
have he : m - d + replacementBlock (v + 1) k * d =
m + (replacementBlock (v + 1) k - 1) * d := by
have hh := Nat.sub_add_cancel hg
have := congrArg (fun a : ℕ => a * d) hh
simp only [Nat.add_mul, Nat.one_mul] at this
omega
rw [he]
ring
_ = _ := by rw [binomialMean_add, binomialMean_mul_const, binomialMean_id]
rw [← hsub]
linarith
theorem integrated_head_forcing {v k : ℕ} (hk : 3 ≤ k) (hkv : k ≤ v) (M : ℕ) :
∑ j ∈ Finset.range (M + 1), headForcedMean v k j ≤
(replacementBlock (v + 1) k : ℝ) * M * ((k : ℝ) / (v + 1)) +
((M + 1 : ℕ) : ℝ) * M * ((k : ℝ) / (v + 1)) * replacementError (v + 1) k := by
have hp0 : 0 ≤ (k : ℝ) / (v + 1) := by positivity
have hp1 : (k : ℝ) / (v + 1) ≤ 1 := by
apply (div_le_one (by positivity)).mpr
exact_mod_cast (by omega : k ≤ v + 1)
calc
_ ≤ ∑ j ∈ Finset.range (M + 1),
(binomialMean ((k : ℝ) / (v + 1)) j
(replacementDifference (properSATProbability v k) (replacementBlock (v + 1) k) j) +
((j : ℝ) * ((k : ℝ) / (v + 1))) * replacementError (v + 1) k) :=
Finset.sum_le_sum (fun _ _ => headForcedMean_replacement hk hkv)
_ = _ := Finset.sum_add_distrib
_ ≤ _ := by
apply add_le_add
· exact binomial_replacement_sum_le hp0 hp1 (properSATProbability_antitone hkv)
(fun j => properSATProbability_nonneg v k j) (fun j => properSATProbability_le_one v k j)
(replacementBlock_pos (by omega) (by omega)) M
· calc
_ ≤ ∑ _j ∈ Finset.range (M + 1),
((M : ℝ) * ((k : ℝ) / (v + 1))) * replacementError (v + 1) k := by
apply Finset.sum_le_sum
intro j hj
have hjM : (j : ℝ) ≤ M := by
exact_mod_cast (Nat.le_of_lt_succ (Finset.mem_range.mp hj))
exact mul_le_mul_of_nonneg_right (mul_le_mul_of_nonneg_right hjM hp0)
(replacementError_nonneg (v + 1) k)
_ = _ := by simp; ring
def renameClause {n k : ℕ} (e : Fin n ≃ Fin n) (C : ProperClause n k) : ProperClause n k :=
⟨fun i => C.val (e i), by
have h := Fintype.card_congr
(e.subtypeEquivOfSubtype (p := fun i => (C.val i).isSome))
simp only [Fintype.card_subtype] at h
exact h.trans C.property⟩
def renameClauseEquiv {n k : ℕ} (e : Fin n ≃ Fin n) : ProperClause n k ≃ ProperClause n k where
toFun := renameClause e
invFun := renameClause e.symm
left_inv C := by apply Subtype.ext; funext i; simp [renameClause]
right_inv C := by apply Subtype.ext; funext i; simp [renameClause]
def renameAssignment {n : ℕ} (e : Fin n ≃ Fin n) (σ : Assignment n) : Assignment n :=
fun i => σ (e i)
def renameFormula {n k m : ℕ} (e : Fin n ≃ Fin n) (F : Formula n k m) : Formula n k m :=
fun i => renameClause e (F i)
def renameFormulaEquiv {n k m : ℕ} (e : Fin n ≃ Fin n) : Formula n k m ≃ Formula n k m :=
Equiv.piCongrRight (fun _ => renameClauseEquiv e)
theorem renameFormulaEquiv_apply {n k m : ℕ} (e : Fin n ≃ Fin n) (F : Formula n k m) :
renameFormulaEquiv e F = renameFormula e F := rfl
theorem satisfiesClause_rename {n k : ℕ} (e : Fin n ≃ Fin n) (σ : Assignment n)
(C : ProperClause n k) :
SatisfiesClause (renameAssignment e σ) (renameClause e C) ↔ SatisfiesClause σ C := by
change (∃ i, C.val (e i) = some (σ (e i))) ↔ ∃ i, C.val i = some (σ i)
constructor
· rintro ⟨i, hi⟩
exact ⟨e i, hi⟩
· rintro ⟨i, hi⟩
exact ⟨e.symm i, by simpa using hi⟩
theorem satisfies_rename {n k m : ℕ} (e : Fin n ≃ Fin n) (σ : Assignment n)
(F : Formula n k m) :
Satisfies (renameAssignment e σ) (renameFormula e F) ↔ Satisfies σ F := by
simp only [Satisfies, renameFormula, satisfiesClause_rename]
theorem satisfies_rename_inverse {n k m : ℕ} (e : Fin n ≃ Fin n) (σ : Assignment n)
(F : Formula n k m) :
Satisfies σ (renameFormula e F) ↔ Satisfies (renameAssignment e.symm σ) F := by
have h := satisfies_rename e (renameAssignment e.symm σ) F
have he : renameAssignment e (renameAssignment e.symm σ) = σ := by
funext i
exact congrArg σ (e.symm_apply_apply i)
rw [he] at h
exact h
theorem satisfiable_rename {n k m : ℕ} (e : Fin n ≃ Fin n) (F : Formula n k m) :
Satisfiable (renameFormula e F) ↔ Satisfiable F := by
constructor
· rintro ⟨σ, hσ⟩
exact ⟨renameAssignment e.symm σ, (satisfies_rename_inverse e σ F).mp hσ⟩
· rintro ⟨σ, hσ⟩
exact ⟨renameAssignment e σ, (satisfies_rename e σ F).mpr hσ⟩
theorem mem_forced_formula {n k m : ℕ} (F : Formula n k m) (i : Fin n) :
i ∈ forcedVariables (restrictSolutions Finset.univ F) ↔
Satisfiable F ∧ ∃ b, ∀ σ, Satisfies σ F → σ i = b := by
simp [forcedVariables, Finset.Nonempty, Satisfiable, Satisfies]
theorem forcedVariables_rename {n k m : ℕ} (e : Fin n ≃ Fin n) (F : Formula n k m) (i : Fin n) :
i ∈ forcedVariables (restrictSolutions Finset.univ (renameFormula e F)) ↔
e i ∈ forcedVariables (restrictSolutions Finset.univ F) := by
rw [mem_forced_formula, mem_forced_formula, satisfiable_rename]
constructor
· rintro ⟨hS, b, hb⟩
refine ⟨hS, b, fun σ hσ => ?_⟩
exact hb (renameAssignment e σ) ((satisfies_rename e σ F).mpr hσ)
· rintro ⟨hS, b, hb⟩
refine ⟨hS, b, fun σ hσ => ?_⟩
have h := hb (renameAssignment e.symm σ) ((satisfies_rename_inverse e σ F).mp hσ)
simpa only [renameAssignment, Equiv.symm_apply_apply] using h
theorem forced_coordinate_mean {v k m : ℕ} (i : Fin (v + 1)) :
uniformMean (fun F : Formula (v + 1) k m =>
if i ∈ forcedVariables (restrictSolutions Finset.univ F) then (1 : ℝ) else 0) =
headForcedMean v k m := by
let e : Fin (v + 1) ≃ Fin (v + 1) := Equiv.swap 0 i
calc
_ = uniformMean (fun F : Formula (v + 1) k m =>
if (0 : Fin (v + 1)) ∈ forcedVariables
(restrictSolutions Finset.univ (renameFormula e F)) then (1 : ℝ) else 0) := by
apply uniformMean_congr
intro F
simp only [forcedVariables_rename, e, Equiv.swap_apply_left]
_ = _ := by
have h := uniformMean_equiv (renameFormulaEquiv (n := v + 1) (k := k) (m := m) e)
(fun F : Formula (v + 1) k m => if (0 : Fin (v + 1)) ∈ forcedVariables
(restrictSolutions Finset.univ F) then (1 : ℝ) else 0)
have heq : (fun F : Formula (v + 1) k m => if (0 : Fin (v + 1)) ∈ forcedVariables
(restrictSolutions Finset.univ (renameFormula e F)) then (1 : ℝ) else 0) =
(fun F : Formula (v + 1) k m => if (0 : Fin (v + 1)) ∈ forcedVariables
(restrictSolutions Finset.univ (renameFormulaEquiv e F)) then (1 : ℝ) else 0) := by
funext F
apply ite_congr
· rfl
· intro _; rfl
· intro _; rfl
rw [heq]
exact h
def forcedFractionMean (n k m : ℕ) : ℝ :=
uniformMean (fun F : Formula n k m =>
((forcedVariables (restrictSolutions Finset.univ F)).card : ℝ) / n)
theorem forcedFractionMean_eq_head (v k m : ℕ) :
forcedFractionMean (v + 1) k m = headForcedMean v k m := by
have hc (F : Formula (v + 1) k m) :
((forcedVariables (restrictSolutions Finset.univ F)).card : ℝ) =
∑ i : Fin (v + 1), if i ∈ forcedVariables (restrictSolutions Finset.univ F)
then (1 : ℝ) else 0 := by simp
unfold forcedFractionMean
simp_rw [hc, div_eq_mul_inv]
rw [uniformMean_mul_const, uniformMean_sum]
simp only [forced_coordinate_mean, Finset.sum_const, Finset.card_univ,
Fintype.card_fin, nsmul_eq_mul]
have hv : ((v + 1 : ℕ) : ℝ) ≠ 0 := by positivity
field_simp
theorem integrated_forcing_finite {n k : ℕ} (hk : 3 ≤ k) (hn : k + 1 ≤ n) (M : ℕ) :
∑ j ∈ Finset.range (M + 1), forcedFractionMean n k j ≤
(replacementBlock n k : ℝ) * M * ((k : ℝ) / n) +
((M + 1 : ℕ) : ℝ) * M * ((k : ℝ) / n) * replacementError n k := by
cases n with
| zero => omega
| succ v =>
simp only [forcedFractionMean_eq_head]
simpa only [Nat.cast_add, Nat.cast_one] using integrated_head_forcing hk (by omega) M
end
end FixedClauseThreshold
end OAI