openAI-math-dataset / lean /OAI /Combinatorics /IndependentSets /PCP /GraphIterationBounds.lean
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import Mathlib
import OAI.Combinatorics.IndependentSets.PCP.TableIteration
import OAI.Combinatorics.IndependentSets.Machines.GraphCounterPrefix
namespace OAI
namespace IndependentSetsGames.Foundations.Complexity.GraphIterationBounds
open PCP RoundTables
def inputBits (input : Input) : List Bool := GraphTables.tableBits input.val
def countedBits (input : Input) : List Bool := GraphCounterPrefix.output input.val
def words (H : BaseTable) (input : Input) (i : Nat) : List Bool :=
GraphTables.tableBits (TableIteration.runTables H i input.val)
def count (input : Input) : Nat := GraphCounterPrefix.count input.val
noncomputable def lengthPolynomial : Polynomial Nat :=
(GraphTableComplexity.encodingPolynomial 64).comp (PCPIterationMachine.sizePolynomial sizeFactor)
theorem inputBits_le_countedBits (input : Input) : (inputBits input).length ≤ (countedBits input).length := by
simp only [inputBits, countedBits, GraphCounterPrefix.output, List.length_append]
omega
theorem size_le_inputBits (input : Input) : size input ≤ (inputBits input).length := by
have h := GraphTableComplexity.size_add_two_le_bits input.val
unfold size inputBits
omega
theorem count_le (input : Input) : count input ≤ (countedBits input).length + 1 :=
(PCPIterationMachine.rounds_le (size input)).trans
(Nat.add_le_add_right ((size_le_inputBits input).trans (inputBits_le_countedBits input)) 1)
theorem intermediate_size (H : BaseTable) (input : Input) (i : Nat) (hi : i ≤ count input) :
size (TableIteration.run H i input) ≤ PCPIterationMachine.sizeEnvelope sizeFactor (size input) := by
apply PCPIterationMachine.semanticSize_bound
(fun j => size (TableIteration.run H j input)) sizeFactor (size input)
sizeFactor_positive (Nat.le_succ _) _ i hi
intro j _
exact step_size H (TableIteration.run H j input)
theorem intermediate_bits (H : BaseTable) (input : Input) (i : Nat) (hi : i ≤ count input) :
(words H input i).length ≤ lengthPolynomial.eval (countedBits input).length := by
have hsize := intermediate_size H input i hi
have hinput := (size_le_inputBits input).trans (inputBits_le_countedBits input)
have heval := MachineComposition.natPolynomial_eval_mono
(PCPIterationMachine.sizePolynomial sizeFactor) hinput
rw [PCPIterationMachine.sizePolynomial_eval, PCPIterationMachine.sizePolynomial_eval] at heval
have hs := hsize.trans heval
have htable : (TableIteration.runTables H i input.val).vertices +
(TableIteration.runTables H i input.val).darts ≤
PCPIterationMachine.sizeEnvelope sizeFactor (countedBits input).length := by
rw [← TableIteration.run_val]
exact hs
rw [lengthPolynomial, Polynomial.eval_comp, PCPIterationMachine.sizePolynomial_eval]
exact GraphTableComplexity.bits_le_of_size_le _ htable
noncomputable def runtimePolynomial (bodyTime : Polynomial Nat) : Polynomial Nat :=
(Polynomial.X + 1) * (bodyTime.comp lengthPolynomial + 2 * lengthPolynomial + 4) +
2 * lengthPolynomial + 4
theorem runtimePolynomial_eval (bodyTime : Polynomial Nat) (N : Nat) :
(runtimePolynomial bodyTime).eval N =
(N + 1) * (bodyTime.eval (lengthPolynomial.eval N) + 2 * lengthPolynomial.eval N + 4) +
2 * lengthPolynomial.eval N + 4 := by
simp only [runtimePolynomial, Polynomial.eval_add, Polynomial.eval_mul, Polynomial.eval_X,
Polynomial.eval_one, Polynomial.eval_ofNat, Polynomial.eval_comp]
end IndependentSetsGames.Foundations.Complexity.GraphIterationBounds
namespace IndependentSetsGames.Foundations.PCP.RawInitialRows
open Target GraphTables RawInitialTables
abbrev Signs := Bool × Bool × Bool
abbrev Names := Nat × Nat × Nat
def clauseSigns {n : Nat} (c : Clause n) : Signs :=
((c)[0].positive, (c)[1].positive, (c)[2].positive)
def clauseNames {n : Nat} (c : Clause n) : Names :=
((c)[0].variableIndex.val, (c)[1].variableIndex.val, (c)[2].variableIndex.val)
def nameWord (names : Names) : Slot → Nat
| .first => names.1
| .second => names.2.1
| .third => names.2.2
def decodedLabel (a : GraphTables.Label) : InitialGraph.Label :=
AlphabetRetraction.decode64 (labelOrder.symm a)
def incidencePredicate (signs : Signs) (slot : Slot)
(clauseLabel variableLabel : InitialGraph.Label) : Bool :=
InitialGraph.variableValid variableLabel &&
(((literalValue signs.1 clauseLabel.1 ||
literalValue signs.2.1 clauseLabel.2.1) ||
literalValue signs.2.2 clauseLabel.2.2) &&
decide (answerAt (InitialGraph.toClauseAnswer clauseLabel) slot = variableLabel.1))
def relationPredicate (signs : Signs) (slot : Slot) :
Bool → GraphTables.Label → GraphTables.Label → Bool
| false, a, b => incidencePredicate signs slot (decodedLabel a) (decodedLabel b)
| true, a, b => incidencePredicate signs slot (decodedLabel b) (decodedLabel a)
def relationWordsFor (signs : Signs) (slot : Slot) (orientation : Bool) : List Nat :=
relationWords (relationOf (relationPredicate signs slot orientation))
@[simp] theorem relationWordsFor_length (signs : Signs) (slot : Slot) (orientation : Bool) :
(relationWordsFor signs slot orientation).length = 4096 := by
exact relationWords_length _
def incidenceWords (n i : Nat) (names : Names) (signs : Signs)
(slot : Slot) (orientation : Bool) : List Nat :=
[if orientation then nameWord names slot else n + i,
6 * i + 2 * (slotOrder slot).val + (if orientation then 0 else 1)] ++
relationWordsFor signs slot orientation
def clauseWords (n i : Nat) (names : Names) (signs : Signs) : List Nat :=
incidenceWords n i names signs .first false ++
incidenceWords n i names signs .first true ++
incidenceWords n i names signs .second false ++
incidenceWords n i names signs .second true ++
incidenceWords n i names signs .third false ++
incidenceWords n i names signs .third true
def dummyWords (n m : Nat) : List Nat :=
[n + m, 6 * m] ++ List.replicate 4096 1
def orderedList {α : Type*} {n : Nat} (e : α ≃ Fin n) : List α :=
List.ofFn e.symm
theorem orderedList_cast {α : Type*} {m n : Nat} (e : α ≃ Fin m) (h : m = n) :
orderedList (e.trans (finCongr h)) = orderedList e := by
subst n
rfl
theorem orderedList_prod {α β : Type*} {m n : Nat}
(e : α ≃ Fin m) (f : β ≃ Fin n) :
orderedList ((e.prodCongr f).trans finProdFinEquiv) =
(orderedList e).flatMap (fun a => (orderedList f).map (fun b => (a, b))) := by
change List.ofFn (fun q : Fin (m * n) =>
(e.symm (finProdFinEquiv.symm q).1, f.symm (finProdFinEquiv.symm q).2)) = _
rw [List.ofFn_mul]
simp only [orderedList, List.flatMap_def, List.map_ofFn]
apply congrArg List.flatten
apply congrArg List.ofFn
funext i
apply congrArg List.ofFn
funext j
have h : (⟨i.val * n + j.val, by
calc
i.val * n + j.val < (i.val + 1) * n :=
(Nat.add_lt_add_left j.isLt _).trans_eq (by rw [Nat.add_mul, Nat.one_mul])
_ ≤ m * n := Nat.mul_le_mul_right _ i.isLt⟩ : Fin (m * n)) =
finProdFinEquiv (i, j) := by
apply Fin.ext
simp [finProdFinEquiv, Nat.add_comm, Nat.mul_comm]
rw [h, Equiv.symm_apply_apply]
rfl
theorem orderedList_sum {α β : Type*} {m n : Nat}
(e : α ≃ Fin m) (f : β ≃ Fin n) :
orderedList ((e.sumCongr f).trans finSumFinEquiv) =
(orderedList e).map Sum.inl ++ (orderedList f).map Sum.inr := by
change List.ofFn (fun q : Fin (m + n) =>
(e.sumCongr f).symm (finSumFinEquiv.symm q)) = _
rw [List.ofFn_add]
change (List.ofFn (fun i : Fin m =>
(e.sumCongr f).symm (finSumFinEquiv.symm (i.castAdd n)))) ++
(List.ofFn (fun i : Fin n =>
(e.sumCongr f).symm (finSumFinEquiv.symm (i.natAdd m)))) = _
simp [orderedList, List.map_ofFn]
rfl
def clauseDarts (F : Formula) (i : Fin F.clauses.length) : List (InitialGraph.Dart F) :=
[.inl ((i, .first), false), .inl ((i, .first), true),
.inl ((i, .second), false), .inl ((i, .second), true),
.inl ((i, .third), false), .inl ((i, .third), true)]
theorem orderedList_dartOrder (F : Formula) :
orderedList (dartOrder F) =
(List.finRange F.clauses.length).flatMap (clauseDarts F) ++ [.inr ()] := by
rw [dartOrder, orderedList_cast, orderedList_sum, orderedList_prod]
rw [eventOrder, orderedList_prod]
have hs : orderedList slotOrder = [.first, .second, .third] := rfl
have hb : orderedList finTwoEquiv.symm = [false, true] := rfl
have hu : orderedList unitOrder = [()] := rfl
rw [hs, hb, hu]
simp [orderedList, List.finRange, List.flatMap_assoc, List.map_flatMap,
]
rfl
def rowFor (F : Formula) (d : InitialGraph.Dart F) :
DartRow (F.«variables» + F.clauses.length + 1) (6 * F.clauses.length + 1) where
tail := vertexOrder F (InitialGraph.tail F d)
reverseIndex := dartOrder F (InitialGraph.reverse F d)
relation := relationOf (fun a b => InitialGraph.predicate F d (decodedLabel a) (decodedLabel b))
theorem rowList_table (F : Formula) :
rowList (table F) = (orderedList (dartOrder F)).map (rowFor F) := by
simp only [rowList, table, ofEnumeratedGraph, ofGraph, graphRows, Vector.toList_ofFn,
orderedList, List.map_ofFn]
rfl
theorem rowWords_incidence (F : Formula) (i : Fin F.clauses.length)
(slot : Slot) (orientation : Bool) :
rowWords (rowFor F (.inl ((i, slot), orientation))) =
incidenceWords F.«variables» i.val (clauseNames (clauseAt F i))
(clauseSigns (clauseAt F i)) slot orientation := by
have ht : (rowFor F (.inl ((i, slot), orientation))).tail.val =
if orientation then nameWord (clauseNames (clauseAt F i)) slot else F.«variables» + i.val := by
cases orientation <;> cases slot <;> rfl
have hr : (rowFor F (.inl ((i, slot), orientation))).reverseIndex.val =
6 * i.val + 2 * (slotOrder slot).val + (if orientation then 0 else 1) := by
cases orientation <;> cases slot <;>
simp [rowFor, InitialGraph.reverse, dartOrder, eventOrder, slotOrder, unitOrder,
finProdFinEquiv, finSumFinEquiv, finTwoEquiv, Nat.mul_add,
Nat.mul_comm, Nat.mul_left_comm, Nat.add_comm]
have hp : (rowFor F (.inl ((i, slot), orientation))).relation =
relationOf (relationPredicate (clauseSigns (clauseAt F i)) slot orientation) := by
cases orientation <;> rfl
unfold rowWords incidenceWords relationWordsFor
rw [ht, hr, hp]
theorem rowWords_dummy (F : Formula) :
rowWords (rowFor F (.inr ())) = dummyWords F.«variables» F.clauses.length := by
have ht : (rowFor F (.inr ())).tail.val = F.«variables» + F.clauses.length := rfl
have hr : (rowFor F (.inr ())).reverseIndex.val = 6 * F.clauses.length := by
simp [rowFor, InitialGraph.reverse, dartOrder, unitOrder, finSumFinEquiv]
have hp : (rowFor F (.inr ())).relation = relationOf (fun _ _ => true) := rfl
have hw : relationWords (relationOf (fun _ _ => true)) = List.replicate 4096 1 := by
unfold relationWords
rw [relationOf, Vector.toList_ofFn, List.map_ofFn]
exact List.ofFn_const 4096 1
unfold rowWords dummyWords
rw [ht, hr, hp, hw]
theorem clauseDarts_rowWords (F : Formula) (i : Fin F.clauses.length) :
(clauseDarts F i).flatMap (fun d => rowWords (rowFor F d)) =
clauseWords F.«variables» i.val (clauseNames (clauseAt F i))
(clauseSigns (clauseAt F i)) := by
simp [clauseDarts, rowWords_incidence, clauseWords, List.append_assoc]
theorem tableWords_eq (F : Formula) :
tableWords (table F) =
[F.«variables» + F.clauses.length + 1, 6 * F.clauses.length + 1] ++
(List.finRange F.clauses.length).flatMap (fun i =>
clauseWords F.«variables» i.val (clauseNames (clauseAt F i))
(clauseSigns (clauseAt F i))) ++ dummyWords F.«variables» F.clauses.length := by
rw [tableWords, rowList_table, orderedList_dartOrder]
simp [List.flatMap_map, List.flatMap_append, List.flatMap_assoc, clauseDarts_rowWords,
rowWords_dummy]
end IndependentSetsGames.Foundations.PCP.RawInitialRows
end OAI