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Add lean source and binary files (part 61)
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import Mathlib
import OAI.Computability.DirectedFeedback.Encoding.Queries
namespace OAI
namespace DFVSGames.Foundations.PCP.InitialGraph
open Target
abbrev Label := Bool × Bool × Bool
abbrev Vertex (F : Formula) := (Fin F.«variables» ⊕ Fin F.clauses.length) ⊕ Unit
abbrev Dart (F : Formula) := (RandomEvent F × Bool) ⊕ Unit
instance slotFintype : Fintype Slot where
elems := {Slot.first, Slot.second, Slot.third}
complete := by intro s; cases s <;> simp
@[simp] theorem card_slot : Fintype.card Slot = 3 := by decide
@[simp] theorem card_label : Fintype.card Label = 8 := by
simp [Label, Fintype.card_prod]
def variableVertex (F : Formula) (v : Fin F.«variables») : Vertex F := .inl (.inl v)
def clauseVertex (F : Formula) (i : Fin F.clauses.length) : Vertex F := .inl (.inr i)
def dummyVertex (F : Formula) : Vertex F := .inr ()
def dummyDart (F : Formula) : Dart F := .inr ()
instance vertexNonempty (F : Formula) : Nonempty (Vertex F) := ⟨dummyVertex F⟩
instance dartNonempty (F : Formula) : Nonempty (Dart F) := ⟨dummyDart F⟩
def reverse (F : Formula) : Dart F → Dart F
| .inl (event, orientation) => .inl (event, !orientation)
| .inr _ => .inr ()
theorem reverse_involutive (F : Formula) : Function.Involutive (reverse F) := by
intro d
cases d with
| inl pair => rcases pair with ⟨e, b⟩; cases b <;> rfl
| inr u => cases u; rfl
def reverseEquiv (F : Formula) : Dart F ≃ Dart F where
toFun := reverse F
invFun := reverse F
left_inv := reverse_involutive F
right_inv := reverse_involutive F
def tail (F : Formula) : Dart F → Vertex F
| .inl (event, false) => clauseVertex F event.1
| .inl (event, true) => variableVertex F (nameAt (clauseAt F event.1) event.2)
| .inr _ => dummyVertex F
def toClauseAnswer (label : Label) : ClauseAnswer := ⟨label.1, label.2.1, label.2.2⟩
def fromClauseAnswer (answer : ClauseAnswer) : Label := (answer.first, answer.second, answer.third)
def variableLabel (value : Bool) : Label := (value, false, false)
@[simp] theorem to_fromClauseAnswer (answer : ClauseAnswer) :
toClauseAnswer (fromClauseAnswer answer) = answer := by
cases answer; rfl
def variableValid (label : Label) : Bool :=
decide (label.2.1 = false ∧ label.2.2 = false)
def incidenceAccept (F : Formula) (event : RandomEvent F)
(clauseLabel variableAnswer : Label) : Bool :=
variableValid variableAnswer &&
(localSatisfies (clauseAt F event.1) (toClauseAnswer clauseLabel) &&
decide (answerAt (toClauseAnswer clauseLabel) event.2 = variableAnswer.1))
def predicate (F : Formula) : Dart F → Label → Label → Bool
| .inl (event, false), a, b => incidenceAccept F event a b
| .inl (event, true), a, b => incidenceAccept F event b a
| .inr _, _, _ => true
def raw (F : Formula) : ConstraintGraph (Vertex F) (Dart F) Label where
reverse := reverseEquiv F
reverse_involutive := reverse_involutive F
tail := tail F
accepts := predicate F
reverse_accepts := by
intro d a b
cases d with
| inl pair => rcases pair with ⟨event, orientation⟩; cases orientation <;> rfl
| inr u => rfl
theorem raw_forward (F : Formula) (labeling : Vertex F → Label) (event : RandomEvent F) :
(raw F).edgeSatisfied labeling (.inl (event, false)) =
incidenceAccept F event (labeling (clauseVertex F event.1))
(labeling (variableVertex F (nameAt (clauseAt F event.1) event.2))) := rfl
theorem incidenceAccept_true (F : Formula) (event : RandomEvent F) (a b : Label)
(h : incidenceAccept F event a b = true) :
localSatisfies (clauseAt F event.1) (toClauseAnswer a) = true ∧
answerAt (toClauseAnswer a) event.2 = b.1 := by
simp only [incidenceAccept, Bool.and_eq_true, decide_eq_true_eq] at h
exact h.2
def honestLabeling (F : Formula) (A : Fin F.«variables» → Bool) : Vertex F → Label
| .inl (.inl v) => variableLabel (A v)
| .inl (.inr i) => fromClauseAnswer (honestAnswer (clauseAt F i) A)
| .inr _ => variableLabel false
theorem incidence_honest (F : Formula) (A : Fin F.«variables» → Bool)
(sat : ∀ c ∈ F.clauses, c.eval A = true) (event : RandomEvent F) :
incidenceAccept F event (honestLabeling F A (clauseVertex F event.1))
(honestLabeling F A (variableVertex F (nameAt (clauseAt F event.1) event.2))) = true := by
have hc : (clauseAt F event.1).eval A = true := sat _ (List.getElem_mem _)
simp [incidenceAccept, honestLabeling, clauseVertex, variableVertex, variableLabel,
variableValid, honest_satisfies, honest_answerAt, hc]
theorem raw_completeness (F : Formula) (sat : F.Satisfiable) : (raw F).Satisfiable := by
rcases sat with ⟨A, hA⟩
refine ⟨honestLabeling F A, fun d => ?_⟩
cases d with
| inl pair =>
rcases pair with ⟨event, orientation⟩
cases orientation <;> exact incidence_honest F A hA event
| inr u => rfl
theorem clauseAnswer_eq_of_slots (a b : ClauseAnswer)
(h : ∀ s, answerAt a s = answerAt b s) : a = b := by
rcases a with ⟨a₀, a₁, a₂⟩
rcases b with ⟨b₀, b₁, b₂⟩
have h₀ : a₀ = b₀ := h .first
have h₁ : a₁ = b₁ := h .second
have h₂ : a₂ = b₂ := h .third
cases h₀; cases h₁; cases h₂; rfl
theorem raw_reflects (F : Formula) (sat : (raw F).Satisfiable) : F.Satisfiable := by
rcases sat with ⟨labeling, hlabeling⟩
let A : Fin F.«variables» → Bool := fun v => (labeling (variableVertex F v)).1
have slot_correct (i : Fin F.clauses.length) (s : Slot) :
localSatisfies (clauseAt F i) (toClauseAnswer (labeling (clauseVertex F i))) = true ∧
answerAt (toClauseAnswer (labeling (clauseVertex F i))) s =
A (nameAt (clauseAt F i) s) := by
exact incidenceAccept_true F (i, s) _ _ (hlabeling (.inl ((i, s), false)))
have clause_correct (i : Fin F.clauses.length) : (clauseAt F i).eval A = true := by
have equal : toClauseAnswer (labeling (clauseVertex F i)) = honestAnswer (clauseAt F i) A :=
clauseAnswer_eq_of_slots _ _ (fun s => by
simpa only [honest_answerAt] using (slot_correct i s).2)
have satisfied := (slot_correct i .first).1
rw [equal, honest_satisfies] at satisfied
exact satisfied
refine ⟨A, fun c hc => ?_⟩
obtain ⟨i, hi, heq⟩ := List.getElem_of_mem hc
simpa only [clauseAt, heq] using clause_correct ⟨i, hi⟩
theorem raw_satisfiable_iff (F : Formula) : (raw F).Satisfiable ↔ F.Satisfiable :=
⟨raw_reflects F, raw_completeness F⟩
@[simp] theorem card_vertex (F : Formula) :
Fintype.card (Vertex F) = F.«variables» + F.clauses.length + 1 := by
simp [Vertex, Fintype.card_sum]
@[simp] theorem card_dart (F : Formula) :
Fintype.card (Dart F) = 6 * F.clauses.length + 1 := by
simp [Dart, RandomEvent, Fintype.card_sum, Fintype.card_prod]
omega
abbrev CompactVertex (F : Formula) := Vertex (NameCompaction.compact F)
abbrev CompactDart (F : Formula) := Dart (NameCompaction.compact F)
def build (F : Formula) : ConstraintGraph (CompactVertex F) (CompactDart F) Label :=
raw (NameCompaction.compact F)
theorem build_satisfiable_iff (F : Formula) : (build F).Satisfiable ↔ F.Satisfiable := by
exact (raw_satisfiable_iff (NameCompaction.compact F)).trans
(NameCompaction.compact_satisfiable_iff F)
theorem build_vertex_bound (F : Formula) :
Fintype.card (CompactVertex F) ≤ 4 * F.clauses.length + 1 := by
have h := NameCompaction.compact_active_bound F
simp only [CompactVertex, card_vertex, NameCompaction.compact_clause_count]
omega
theorem build_dart_count (F : Formula) :
Fintype.card (CompactDart F) = 6 * F.clauses.length + 1 := by
simp only [CompactDart, card_dart, NameCompaction.compact_clause_count]
theorem build_initial_gap (F : Formula) (unsat : ¬ F.Satisfiable)
(labeling : CompactVertex F → Label) : 1 ≤ (build F).rejectionCount labeling := by
apply ConstraintGraph.rejectionCount_positive
intro h
exact unsat ((build_satisfiable_iff F).mp h)
theorem build_inverse_size_gap (F : Formula) (unsat : ¬ F.Satisfiable)
(labeling : CompactVertex F → Label) :
Fintype.card (CompactDart F) ≤
(6 * F.clauses.length + 1) * (build F).rejectionCount labeling := by
rw [build_dart_count]
simpa only [Nat.mul_one] using
Nat.mul_le_mul_left (6 * F.clauses.length + 1) (build_initial_gap F unsat labeling)
end DFVSGames.Foundations.PCP.InitialGraph
namespace DFVSGames.Foundations.PCP.AlphabetRetraction
variable {V E A B : Type*}
def pullback (G : ConstraintGraph V E A) (decode : B → A) : ConstraintGraph V E B where
reverse := G.reverse
reverse_involutive := G.reverse_involutive
tail := G.tail
accepts := fun e b c => G.accepts e (decode b) (decode c)
reverse_accepts := fun e b c => G.reverse_accepts e (decode b) (decode c)
@[simp] theorem edgeSatisfied_pullback (G : ConstraintGraph V E A)
(decode : B → A) (labeling : V → B) (e : E) :
(pullback G decode).edgeSatisfied labeling e =
G.edgeSatisfied (decode ∘ labeling) e := rfl
@[simp] theorem rejectionCount_pullback [Fintype E] (G : ConstraintGraph V E A)
(decode : B → A) (labeling : V → B) :
(pullback G decode).rejectionCount labeling =
G.rejectionCount (decode ∘ labeling) := rfl
theorem satisfiable_pullback_iff (G : ConstraintGraph V E A)
(decode : B → A) (encode : A → B) (sectionLaw : ∀ a, decode (encode a) = a) :
(pullback G decode).Satisfiable ↔ G.Satisfiable := by
constructor
· rintro ⟨labeling, h⟩
exact ⟨decode ∘ labeling, h⟩
· rintro ⟨labeling, h⟩
refine ⟨encode ∘ labeling, fun e => ?_⟩
change G.accepts e (decode (encode (labeling (G.tail e))))
(decode (encode (labeling (G.head e)))) = true
simpa only [ConstraintGraph.edgeSatisfied, sectionLaw] using h e
abbrev Label64 := QueryIncidence.Label 6
def decode64 (label : Label64) : InitialGraph.Label := (label 0, label 1, label 2)
def encode64 (label : InitialGraph.Label) : Label64 :=
fun i => if i = 0 then label.1 else if i = 1 then label.2.1 else label.2.2
@[simp] theorem decode_encode64 (label : InitialGraph.Label) :
decode64 (encode64 label) = label := by
rcases label with ⟨a, b, c⟩
rfl
def initial64 (F : DFVSGames.Foundations.Target.Formula) :
ConstraintGraph (InitialGraph.CompactVertex F) (InitialGraph.CompactDart F) Label64 :=
pullback (InitialGraph.build F) decode64
theorem initial64_satisfiable_iff (F : DFVSGames.Foundations.Target.Formula) :
(initial64 F).Satisfiable ↔ F.Satisfiable :=
(satisfiable_pullback_iff (InitialGraph.build F) decode64 encode64 decode_encode64).trans
(InitialGraph.build_satisfiable_iff F)
theorem initial64_alphabet : Fintype.card Label64 = 64 :=
QueryIncidence.six_query_alphabet
theorem initial64_inverse_size_gap (F : DFVSGames.Foundations.Target.Formula)
(unsat : ¬ F.Satisfiable) (labeling : InitialGraph.CompactVertex F → Label64) :
Fintype.card (InitialGraph.CompactDart F) ≤
(6 * F.clauses.length + 1) * (initial64 F).rejectionCount labeling :=
InitialGraph.build_inverse_size_gap F unsat (decode64 ∘ labeling)
end DFVSGames.Foundations.PCP.AlphabetRetraction
namespace DFVSGames.Foundations.PCP.RawInitialTables
open Target GraphTables
def unitOrder : Unit ≃ Fin 1 where
toFun _ := 0
invFun _ := ()
left_inv _ := rfl
right_inv i := by fin_cases i; rfl
def slotOrder : Slot ≃ Fin 3 where
toFun
| .first => 0
| .second => 1
| .third => 2
invFun i := if i = 0 then .first else if i = 1 then .second else .third
left_inv s := by cases s <;> rfl
right_inv i := by fin_cases i <;> rfl
def binaryOrder (n : Nat) : (Fin n → Bool) ≃ Fin (2 ^ n) where
toFun bits := (DFVSGames.Integration.BinaryCoordinates.pack bits).toFin
invFun index := DFVSGames.Integration.BinaryCoordinates.unpack (BitVec.ofFin index)
left_inv bits := DFVSGames.Integration.BinaryCoordinates.unpack_pack bits
right_inv index := by
change (DFVSGames.Integration.BinaryCoordinates.pack
(DFVSGames.Integration.BinaryCoordinates.unpack (BitVec.ofFin index))).toFin = index
rw [DFVSGames.Integration.BinaryCoordinates.pack_unpack]
def labelOrder : AlphabetRetraction.Label64 ≃ GraphTables.Label := binaryOrder 6
def vertexOrder (F : Formula) :
InitialGraph.Vertex F ≃ Fin (F.«variables» + F.clauses.length + 1) :=
((finSumFinEquiv.sumCongr unitOrder).trans finSumFinEquiv)
def eventOrder (F : Formula) : RandomEvent F ≃ Fin (F.clauses.length * 3) :=
((Equiv.refl (Fin F.clauses.length)).prodCongr slotOrder).trans finProdFinEquiv
def dartOrder (F : Formula) : InitialGraph.Dart F ≃ Fin (6 * F.clauses.length + 1) :=
(((((eventOrder F).prodCongr finTwoEquiv.symm).trans finProdFinEquiv).sumCongr
unitOrder).trans finSumFinEquiv).trans (finCongr (by omega))
def raw64 (F : Formula) : ConstraintGraph (InitialGraph.Vertex F)
(InitialGraph.Dart F) AlphabetRetraction.Label64 :=
AlphabetRetraction.pullback (InitialGraph.raw F) AlphabetRetraction.decode64
def table (F : Formula) : GraphTables.Table :=
GraphTables.ofEnumeratedGraph (raw64 F) (vertexOrder F) (dartOrder F) labelOrder
@[simp] theorem table_vertices (F : Formula) :
(table F).vertices = F.«variables» + F.clauses.length + 1 := rfl
@[simp] theorem table_darts (F : Formula) : (table F).darts = 6 * F.clauses.length + 1 := rfl
theorem table_vertices_positive (F : Formula) : 0 < (table F).vertices := by
rw [table_vertices]; omega
theorem table_darts_positive (F : Formula) : 0 < (table F).darts := by
rw [table_darts]; omega
theorem raw64_satisfiable_iff (F : Formula) : (raw64 F).Satisfiable ↔ F.Satisfiable :=
(AlphabetRetraction.satisfiable_pullback_iff (InitialGraph.raw F)
AlphabetRetraction.decode64 AlphabetRetraction.encode64
AlphabetRetraction.decode_encode64).trans (InitialGraph.raw_satisfiable_iff F)
theorem table_semantics (F : Formula) :
GraphTables.semantics (table F) =
(raw64 F).reindex (vertexOrder F) (dartOrder F) labelOrder := by
change GraphTables.semantics (GraphTables.ofGraph
(GraphTables.enumeratedGraph (raw64 F) (vertexOrder F) (dartOrder F) labelOrder)) = _
rw [GraphTables.semantics_ofGraph]
rfl
theorem table_satisfiable_iff (F : Formula) :
(GraphTables.semantics (table F)).Satisfiable ↔ F.Satisfiable := by
rw [table_semantics]
exact ((raw64 F).satisfiable_reindex (vertexOrder F) (dartOrder F) labelOrder).trans
(raw64_satisfiable_iff F)
theorem initial_rejection (F : Formula) (unsat : ¬ F.Satisfiable)
(labeling : Fin (table F).vertices → GraphTables.Label) :
1 ≤ (GraphTables.semantics (table F)).rejectionCount labeling :=
ConstraintGraph.rejectionCount_positive _
(fun h => unsat ((table_satisfiable_iff F).mp h)) labeling
theorem initial_size (F : Formula) :
(table F).vertices + (table F).darts = F.«variables» + 7 * F.clauses.length + 2 := by
rw [table_vertices, table_darts]
omega
end DFVSGames.Foundations.PCP.RawInitialTables
noncomputable section
namespace DFVSGames.Foundations.PCP.FiniteGraph
structure Bundle (A : Type) where
Vertex : Type
Dart : Type
vertexFintype : Fintype Vertex
dartFintype : Fintype Dart
vertexDecidableEq : DecidableEq Vertex
dartDecidableEq : DecidableEq Dart
dartNonempty : Nonempty Dart
graph : ConstraintGraph Vertex Dart A
namespace Bundle
variable {A : Type}
instance instFintypeVertex (G : Bundle A) : Fintype G.Vertex := G.vertexFintype
instance instFintypeDart (G : Bundle A) : Fintype G.Dart := G.dartFintype
instance instDecidableEqVertex (G : Bundle A) : DecidableEq G.Vertex := G.vertexDecidableEq
instance instDecidableEqDart (G : Bundle A) : DecidableEq G.Dart := G.dartDecidableEq
instance instNonemptyDart (G : Bundle A) : Nonempty G.Dart := G.dartNonempty
instance instNonemptyVertex (G : Bundle A) : Nonempty G.Vertex := by
obtain ⟨d⟩ := G.dartNonempty
exact ⟨G.graph.tail d⟩
def ofGraph {V E : Type} [Fintype V] [Fintype E]
[DecidableEq V] [DecidableEq E] [Nonempty E]
(G : ConstraintGraph V E A) : Bundle A where
Vertex := V
Dart := E
vertexFintype := inferInstance
dartFintype := inferInstance
vertexDecidableEq := inferInstance
dartDecidableEq := inferInstance
dartNonempty := inferInstance
graph := G
def size (G : Bundle A) : Nat := Fintype.card G.Vertex + Fintype.card G.Dart
def Satisfiable (G : Bundle A) : Prop := G.graph.Satisfiable
def rejectionCount (G : Bundle A) (labeling : G.Vertex → A) : Nat :=
G.graph.rejectionCount labeling
theorem size_positive (G : Bundle A) : 0 < G.size :=
lt_of_lt_of_le (Fintype.card_pos : 0 < Fintype.card G.Dart) (Nat.le_add_left _ _)
theorem dartCard_le_size (G : Bundle A) : Fintype.card G.Dart ≤ G.size :=
Nat.le_add_left _ _
@[simp] theorem ofGraph_graph {V E : Type} [Fintype V] [Fintype E]
[DecidableEq V] [DecidableEq E] [Nonempty E] (G : ConstraintGraph V E A) :
(ofGraph G).graph = G := rfl
@[simp] theorem ofGraph_size {V E : Type} [Fintype V] [Fintype E]
[DecidableEq V] [DecidableEq E] [Nonempty E] (G : ConstraintGraph V E A) :
(ofGraph G).size = Fintype.card V + Fintype.card E := rfl
@[simp] theorem ofGraph_satisfiable {V E : Type} [Fintype V] [Fintype E]
[DecidableEq V] [DecidableEq E] [Nonempty E] (G : ConstraintGraph V E A) :
(ofGraph G).Satisfiable ↔ G.Satisfiable := Iff.rfl
@[simp] theorem ofGraph_rejectionCount {V E : Type} [Fintype V] [Fintype E]
[DecidableEq V] [DecidableEq E] [Nonempty E]
(G : ConstraintGraph V E A) (labeling : V → A) :
(ofGraph G).rejectionCount labeling = G.rejectionCount labeling := rfl
variable [Fintype A] [Nonempty A]
def minimumRejections (G : Bundle A) : Nat := G.graph.minimumRejections
def gap (G : Bundle A) : ℝ := G.graph.gap
theorem exists_minimizer (G : Bundle A) :
∃ labeling : G.Vertex → A, G.rejectionCount labeling = G.minimumRejections :=
G.graph.exists_minimizer
theorem gap_nonnegative (G : Bundle A) : 0 ≤ G.gap := G.graph.gap_nonnegative
theorem gap_le_one (G : Bundle A) : G.gap ≤ 1 := G.graph.gap_le_one
theorem gap_eq_zero_iff (G : Bundle A) : G.gap = 0 ↔ G.Satisfiable :=
G.graph.gap_eq_zero_iff
theorem le_gap_iff (G : Bundle A) (ε : ℝ) :
ε ≤ G.gap ↔ ∀ labeling : G.Vertex → A,
ε * Fintype.card G.Dart ≤ (G.rejectionCount labeling : ℝ) :=
G.graph.le_gap_iff ε
theorem inverse_card_le_gap_of_unsatisfiable (G : Bundle A) (unsat : ¬ G.Satisfiable) :
1 / (Fintype.card G.Dart : ℝ) ≤ G.gap :=
G.graph.inverse_card_le_gap_of_unsatisfiable unsat
theorem one_le_dartCard_mul_gap (G : Bundle A) (unsat : ¬ G.Satisfiable) :
1 ≤ (Fintype.card G.Dart : ℝ) * G.gap := by
have he : (0 : ℝ) < Fintype.card G.Dart := by exact_mod_cast Fintype.card_pos
have h := (div_le_iff₀ he).mp (G.inverse_card_le_gap_of_unsatisfiable unsat)
simpa only [mul_comm] using h
theorem one_le_size_mul_gap (G : Bundle A) (unsat : ¬ G.Satisfiable) :
1 ≤ (G.size : ℝ) * G.gap := by
have hsize : (Fintype.card G.Dart : ℝ) ≤ (G.size : ℝ) := by
exact_mod_cast G.dartCard_le_size
exact (G.one_le_dartCard_mul_gap unsat).trans
(mul_le_mul_of_nonneg_right hsize G.gap_nonnegative)
@[simp] theorem ofGraph_minimumRejections {V E : Type} [Fintype V] [Fintype E]
[DecidableEq V] [DecidableEq E] [Nonempty E] (G : ConstraintGraph V E A) :
(ofGraph G).minimumRejections = G.minimumRejections := rfl
@[simp] theorem ofGraph_gap {V E : Type} [Fintype V] [Fintype E]
[DecidableEq V] [DecidableEq E] [Nonempty E] (G : ConstraintGraph V E A) :
(ofGraph G).gap = G.gap := rfl
end Bundle
end DFVSGames.Foundations.PCP.FiniteGraph
end
namespace DFVSGames.Foundations.PCP.FinalConstants
def alphabet : Nat := 64
def compositionLoss : Nat := 12288
def denominator : Nat := 16 * alphabet ^ 4 * 66 * compositionLoss
def windowHalf : Nat := denominator * Preprocessing.sizeFactor
def windowSize : Nat := 2 * windowHalf + 1
def smoothingScale : Nat := 4 * alphabet * windowHalf
def endpointLength : Nat := smoothingScale ^ 2
def walkLength : Nat := 2 * endpointLength + 1
noncomputable def gain : ℝ := (windowSize : ℝ) / denominator
noncomputable def cap : ℝ := 1 / (walkLength : ℝ)
theorem denominator_positive : 0 < denominator := by
norm_num [denominator, alphabet, compositionLoss]
theorem windowHalf_positive : 0 < windowHalf :=
Nat.mul_pos denominator_positive Preprocessing.sizeFactor_positive
theorem walkLength_positive : 0 < walkLength := by
simp [walkLength]
theorem gain_large : 2 * (Preprocessing.sizeFactor : ℝ) ≤ gain := by
have hd : (0 : ℝ) < denominator := by exact_mod_cast denominator_positive
apply (le_div_iff₀ hd).2
simp only [windowSize, windowHalf, Nat.cast_add, Nat.cast_mul,
Nat.cast_ofNat]
nlinarith
theorem cap_positive : 0 < cap := by
exact one_div_pos.mpr (by exact_mod_cast walkLength_positive)
theorem cap_le_one : cap ≤ 1 := by
apply (div_le_one (by exact_mod_cast walkLength_positive)).2
exact_mod_cast walkLength_positive
theorem composed_gap (epsilon : ℝ) (he : 0 ≤ epsilon) :
min (2 * epsilon) cap ≤
gain * min (epsilon / (Preprocessing.sizeFactor : ℝ))
(1 / (walkLength : ℝ)) := by
have hs : (0 : ℝ) < Preprocessing.sizeFactor := by
exact_mod_cast Preprocessing.sizeFactor_positive
have hs1 : (1 : ℝ) ≤ Preprocessing.sizeFactor := by
exact_mod_cast Preprocessing.sizeFactor_positive
have hg : 0 ≤ gain := le_trans (by positivity) gain_large
rw [mul_min_of_nonneg _ _ hg]
apply min_le_min
· calc
2 * epsilon = (2 * (Preprocessing.sizeFactor : ℝ)) *
(epsilon / (Preprocessing.sizeFactor : ℝ)) := by field_simp
_ ≤ gain * (epsilon / (Preprocessing.sizeFactor : ℝ)) :=
mul_le_mul_of_nonneg_right gain_large (div_nonneg he hs.le)
· change cap ≤ gain * cap
have hgain : 1 ≤ gain := by linarith [gain_large]
simpa only [one_mul] using mul_le_mul_of_nonneg_right hgain cap_positive.le
end DFVSGames.Foundations.PCP.FinalConstants
namespace DFVSGames.Foundations.PCP.RoundTables
abbrev BaseTable := PreprocessingTables.BaseTable
opaque fixedWalkParameter : {n : Nat // n = 2 * FinalConstants.endpointLength} :=
⟨2 * FinalConstants.endpointLength, rfl⟩
def walkParameter : Nat := fixedWalkParameter.val
theorem walkParameter_eq : walkParameter = 2 * FinalConstants.endpointLength :=
fixedWalkParameter.property
def alphabet : Nat := PoweringTables.labelCount PreprocessingTables.degree walkParameter
theorem alphabet_positive : 0 < alphabet := by
unfold alphabet PoweringTables.labelCount
exact Nat.pow_pos (by decide)
def powered (H : BaseTable) (table : GraphTables.Table) : GenericGraphTables.Table alphabet :=
PoweringTables.table (PreprocessingTables.preprocess H table) walkParameter
def build (H : BaseTable) (table : GraphTables.Table) : GraphTables.Table :=
AlphabetTable.Table.build (powered H table)
def sizeFactor : Nat := AlphabetGraphBounds.sizeFactor alphabet *
(ExpanderFamily.growth ^ 2 * (1 + 2 * PreprocessingTables.degree ^ (walkParameter + 1)))
theorem degree_positive : 0 < PreprocessingTables.degree := by
unfold PreprocessingTables.degree
omega
theorem dartFactor_positive (q : Nat) : 0 < AlphabetGraphBounds.dartFactor q := by
unfold AlphabetGraphBounds.dartFactor AlphabetGraphBounds.localEventFactor
positivity
theorem sizeFactor_positive : 0 < sizeFactor := by
unfold sizeFactor
apply Nat.mul_pos (AlphabetGraphBounds.sizeFactor_positive alphabet)
apply Nat.mul_pos
· exact Nat.pow_pos (Nat.zero_lt_one.trans ExpanderFamily.growth_gt_one)
· omega
theorem powered_vertices (H : BaseTable) (table : GraphTables.Table) :
(powered H table).vertices = PreprocessingTables.vertices table := rfl
theorem powered_darts (H : BaseTable) (table : GraphTables.Table) :
(powered H table).darts = 2 * PreprocessingTables.vertices table *
PreprocessingTables.degree ^ (walkParameter + 1) := rfl
theorem build_darts_positive (H : BaseTable) (table : GraphTables.Table) :
0 < (build H table).darts := by
change 0 < (AlphabetTable.Table.build (powered H table)).darts
rw [AlphabetTableBounds.build_darts, powered_darts]
exact Nat.mul_pos (Nat.mul_pos
(Nat.mul_pos (by decide) (PreprocessingTables.vertices_positive table))
(Nat.pow_pos degree_positive)) (dartFactor_positive alphabet)
theorem build_size_le (H : BaseTable) (table : GraphTables.Table)
(ht : 0 < table.darts) :
(build H table).vertices + (build H table).darts ≤
sizeFactor * (table.vertices + table.darts) := by
have hv := PreprocessingTables.vertices_le_of_positive table ht
have he : (powered H table).vertices + (powered H table).darts =
PreprocessingTables.vertices table *
(1 + 2 * PreprocessingTables.degree ^ (walkParameter + 1)) := by
rw [powered_vertices, powered_darts]
ring
have hp := Nat.mul_le_mul_right
(1 + 2 * PreprocessingTables.degree ^ (walkParameter + 1)) hv
calc
_ ≤ AlphabetGraphBounds.sizeFactor alphabet *
((powered H table).vertices + (powered H table).darts) :=
AlphabetTableBounds.build_total_le (powered H table)
_ = AlphabetGraphBounds.sizeFactor alphabet *
(PreprocessingTables.vertices table *
(1 + 2 * PreprocessingTables.degree ^ (walkParameter + 1))) := by rw [he]
_ ≤ AlphabetGraphBounds.sizeFactor alphabet *
((ExpanderFamily.growth ^ 2 * table.darts) *
(1 + 2 * PreprocessingTables.degree ^ (walkParameter + 1))) :=
Nat.mul_le_mul_left _ hp
_ = sizeFactor * table.darts := by unfold sizeFactor; ring
_ ≤ sizeFactor * (table.vertices + table.darts) :=
Nat.mul_le_mul_left _ (Nat.le_add_left _ _)
theorem build_completeness (H : BaseTable) (table : GraphTables.Table)
(sat : (GraphTables.semantics table).Satisfiable) :
(GraphTables.semantics (build H table)).Satisfiable := by
let : Nonempty (Fin alphabet) := ⟨⟨0, alphabet_positive⟩⟩
exact AlphabetTable.Table.perfect_completeness (powered H table)
(PoweringTableSemantics.preserves_satisfiability
(PreprocessingTables.preprocess H table) walkParameter
(PreprocessingGuarantees.completeness H table sat))
abbrev Input := {table : GraphTables.Table // 0 < table.darts}
instance (input : Input) : Nonempty (Fin input.val.darts) := ⟨⟨0, input.property⟩⟩
def step (H : BaseTable) (input : Input) : Input :=
⟨build H input.val, build_darts_positive H input.val⟩
def initial (F : Target.Formula) : Input :=
⟨RawInitialTables.table F, RawInitialTables.table_darts_positive F⟩
def size (input : Input) : Nat := input.val.vertices + input.val.darts
def Satisfiable (input : Input) : Prop := (GraphTables.semantics input.val).Satisfiable
noncomputable def gap (input : Input) : ℝ := (GraphTables.semantics input.val).gap
theorem size_positive (input : Input) : 0 < size input :=
input.property.trans_le (Nat.le_add_left _ _)
theorem gap_nonnegative (input : Input) : 0 ≤ gap input :=
(GraphTables.semantics input.val).gap_nonnegative
theorem gap_eq_zero_iff (input : Input) : gap input = 0 ↔ Satisfiable input :=
(GraphTables.semantics input.val).gap_eq_zero_iff
theorem one_le_size_mul_gap (input : Input) (unsat : ¬ Satisfiable input) :
1 ≤ (size input : ℝ) * gap input := by
have h := (GraphTables.semantics input.val).inverse_card_le_gap_of_unsatisfiable unsat
have hp : (0 : ℝ) < input.val.darts := Nat.cast_pos.mpr input.property
simp only [Fintype.card_fin] at h
have hd := (div_le_iff₀ hp).mp h
have hsize : (input.val.darts : ℝ) ≤ (size input : ℝ) := by
exact_mod_cast (Nat.le_add_left input.val.darts input.val.vertices)
exact (show 1 ≤ (input.val.darts : ℝ) * gap input by
simpa only [gap, mul_comm] using hd).trans
(mul_le_mul_of_nonneg_right hsize (gap_nonnegative input))
theorem initial_satisfiable_iff (F : Target.Formula) : Satisfiable (initial F) ↔ F.Satisfiable :=
RawInitialTables.table_satisfiable_iff F
theorem step_completeness (H : BaseTable) (input : Input) :
Satisfiable input → Satisfiable (step H input) := build_completeness H input.val
theorem step_size (H : BaseTable) (input : Input) :
size (step H input) ≤ sizeFactor * size input := build_size_le H input.val input.property
end DFVSGames.Foundations.PCP.RoundTables
namespace DFVSGames.Foundations.PCP.AmplificationIteration
def run {X : Type*} (step : X → X) : Nat → X → X
| 0, x => x
| n + 1, x => step (run step n x)
private theorem min_double_min_inline_AmplificationIteration (u cap : ℝ) (hc : 0 ≤ cap) :
min (2 * min u cap) cap = min (2 * u) cap := by
by_cases hu : u ≤ cap
· rw [min_eq_left hu]
· have hcu : cap ≤ u := le_of_not_ge hu
rw [min_eq_right hcu, min_eq_right (by linarith : cap ≤ 2 * cap),
min_eq_right (by linarith : cap ≤ 2 * u)]
theorem run_gap {X : Type*} (step : X → X) (gap : X → ℝ)
(cap : ℝ) (hc : 0 ≤ cap)
(amplifies : ∀ x, min (2 * gap x) cap ≤ gap (step x))
(n : Nat) (x : X) :
min (2 ^ n * gap x) cap ≤ gap (run step n x) := by
induction n with
| zero => simp [run]
| succ n ih =>
have hm : min (2 * min (2 ^ n * gap x) cap) cap ≤
min (2 * gap (run step n x)) cap :=
min_le_min (mul_le_mul_of_nonneg_left ih (by norm_num)) le_rfl
rw [min_double_min_inline_AmplificationIteration _ _ hc] at hm
have h := hm.trans (amplifies (run step n x))
simpa [run, pow_succ, mul_assoc, mul_left_comm, mul_comm] using h
theorem run_preserves {X : Type*} (step : X → X) (P : X → Prop)
(preserves : ∀ x, P x → P (step x)) (n : Nat) (x : X) (hx : P x) :
P (run step n x) := by
induction n with
| zero => exact hx
| succ n ih => exact preserves _ ih
theorem run_size {X : Type*} (step : X → X) (size : X → Nat) (C : Nat)
(blowup : ∀ x, size (step x) ≤ C * size x) (n : Nat) (x : X) :
size (run step n x) ≤ C ^ n * size x := by
induction n with
| zero => simp [run]
| succ n ih =>
have h := (blowup (run step n x)).trans (Nat.mul_le_mul_left C ih)
simpa [run, pow_succ, Nat.mul_assoc, Nat.mul_left_comm, Nat.mul_comm] using h
def rounds (n : Nat) : Nat := Nat.log2 n + 1
theorem rounds_large (n : Nat) : n < 2 ^ rounds n := by
simpa [rounds, Nat.log2_eq_log_two] using
(Nat.lt_pow_succ_log_self (by decide : 1 < 2) n)
theorem rounds_power_le {n : Nat} (hn : 0 < n) : 2 ^ rounds n ≤ 2 * n := by
have h := Nat.pow_log_le_self 2 (Nat.ne_of_gt hn)
simpa [rounds, Nat.log2_eq_log_two, pow_succ, Nat.mul_comm] using
(Nat.mul_le_mul_right 2 h)
theorem blowup_rounds_le {C degree n : Nat} (hn : 0 < n) (hC : C ≤ 2 ^ degree) :
C ^ rounds n ≤ (2 * n) ^ degree := by
calc
C ^ rounds n ≤ (2 ^ degree) ^ rounds n := Nat.pow_le_pow_left hC _
_ = (2 ^ rounds n) ^ degree := by
rw [← pow_mul, ← pow_mul, Nat.mul_comm degree (rounds n)]
_ ≤ (2 * n) ^ degree := Nat.pow_le_pow_left (rounds_power_le hn) _
theorem run_size_polynomial {X : Type*} (step : X → X) (size : X → Nat)
{C degree n : Nat} (hn : 0 < n) (hC : C ≤ 2 ^ degree)
(blowup : ∀ x, size (step x) ≤ C * size x) (x : X) :
size (run step (rounds n) x) ≤ (2 * n) ^ degree * size x :=
(run_size step size C blowup (rounds n) x).trans
(Nat.mul_le_mul_right _ (blowup_rounds_le hn hC))
theorem run_reaches_cap {X : Type*} (step : X → X) (gap : X → ℝ)
(cap : ℝ) (hc : 0 ≤ cap) (hc1 : cap ≤ 1)
(amplifies : ∀ x, min (2 * gap x) cap ≤ gap (step x))
(n : Nat) (x : X) (hg : 0 ≤ gap x) (hstart : 1 ≤ (n : ℝ) * gap x) :
cap ≤ gap (run step (rounds n) x) := by
have hp : (n : ℝ) ≤ (2 : ℝ) ^ rounds n := by
exact_mod_cast (Nat.le_of_lt (rounds_large n))
have hcap : cap ≤ (2 : ℝ) ^ rounds n * gap x :=
hc1.trans (hstart.trans (mul_le_mul_of_nonneg_right hp hg))
have h := run_gap step gap cap hc amplifies (rounds n) x
rwa [min_eq_right hcap] at h
end DFVSGames.Foundations.PCP.AmplificationIteration
end OAI