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Add lean source and binary files (part 44)
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import Mathlib
namespace OAI
namespace IndependentSetsGames.Foundations.Target
structure Literal («variables» : Nat) where
variableIndex : Fin «variables»
positive : Bool
deriving DecidableEq
def Literal.eval {n : Nat} (literal : Literal n) (assignment : Fin n → Bool) : Bool :=
if literal.positive then assignment literal.variableIndex else !(assignment literal.variableIndex)
abbrev Clause («variables» : Nat) := Vector (Literal «variables») 3
def Clause.eval {n : Nat} (clause : Clause n) (assignment : Fin n → Bool) : Bool :=
(clause[0].eval assignment || clause[1].eval assignment) || clause[2].eval assignment
structure Formula where
«variables» : Nat
clauses : List (Clause «variables»)
def Formula.Satisfiable (formula : Formula) : Prop :=
∃ assignment : Fin formula.«variables» → Bool,
∀ clause ∈ formula.clauses, clause.eval assignment = true
structure PermutationTable (alphabet : Nat) where
images : Vector (Fin alphabet) alphabet
inverseImages : Vector (Fin alphabet) alphabet
leftInverse : ∀ label : Fin alphabet, inverseImages[images[label]] = label
rightInverse : ∀ label : Fin alphabet, images[inverseImages[label]] = label
theorem PermutationTable.images_injective {q : Nat} (table : PermutationTable q)
{x y : Fin q} (h : table.images[x] = table.images[y]) : x = y := by
have inverseEquality := congrArg (fun label : Fin q => table.inverseImages[label]) h
simpa only [table.leftInverse] using inverseEquality
theorem PermutationTable.images_surjective {q : Nat} (table : PermutationTable q)
(label : Fin q) : ∃ preimage : Fin q, table.images[preimage] = label :=
⟨table.inverseImages[label], table.rightInverse label⟩
structure Constraint (vertices alphabet : Nat) where
source : Fin vertices
target : Fin vertices
permutation : PermutationTable alphabet
def Constraint.satisfied {n q : Nat} (constraint : Constraint n q)
(labeling : Fin n → Fin q) : Bool :=
decide (constraint.permutation.images[labeling constraint.source] = labeling constraint.target)
structure Instance (alphabet : Nat) where
vertices : Nat
constraints : List (Constraint vertices alphabet)
nonempty : constraints ≠ []
def countSatisfied {n q : Nat} (labeling : Fin n → Fin q) :
List (Constraint n q) → Nat
| [] => 0
| constraint :: rest =>
(if constraint.satisfied labeling then 1 else 0) + countSatisfied labeling rest
theorem countSatisfied_le_length {n q : Nat} (labeling : Fin n → Fin q)
(constraints : List (Constraint n q)) :
countSatisfied labeling constraints ≤ constraints.length := by
induction constraints with
| nil => simp [countSatisfied]
| cons constraint rest ih =>
simp only [countSatisfied, List.length_cons]
split <;> omega
theorem Instance.constraintCount_positive {q : Nat} (game : Instance q) :
0 < game.constraints.length := by
cases h : game.constraints with
| nil => exact False.elim (game.nonempty h)
| cons constraint rest => simp
structure RationalError where
numerator : Nat
denominator : Nat
numeratorPositive : 0 < numerator
denominatorPositive : 0 < denominator
belowHalf : 2 * numerator < denominator
def CompleteAt {q : Nat} (error : RationalError) (game : Instance q) : Prop :=
∃ labeling : Fin game.vertices → Fin q,
error.denominator * game.constraints.length ≤
error.denominator * countSatisfied labeling game.constraints +
error.numerator * game.constraints.length
def SoundAt {q : Nat} (error : RationalError) (game : Instance q) : Prop :=
∀ labeling : Fin game.vertices → Fin q,
error.denominator * countSatisfied labeling game.constraints ≤
error.numerator * game.constraints.length
structure SemanticGapReduction (completenessError soundnessError : RationalError) where
alphabet : Nat
alphabetAtLeastTwo : 2 ≤ alphabet
reduce : Formula → Instance alphabet
completeness : ∀ formula : Formula,
formula.Satisfiable → CompleteAt completenessError (reduce formula)
soundness : ∀ formula : Formula,
¬ formula.Satisfiable → SoundAt soundnessError (reduce formula)
end IndependentSetsGames.Foundations.Target
namespace IndependentSetsGames.Foundations.Complexity
def encodeWord (n : Nat) : List Bool := List.replicate n true ++ [false]
def encodeWords : List Nat → List Bool
| [] => []
| n :: ns => encodeWord n ++ encodeWords ns
def decodeWordsAux : List Bool → Nat → Option (List Nat)
| [], 0 => some []
| [], _ + 1 => none
| true :: bs, n => decodeWordsAux bs (n + 1)
| false :: bs, n => (decodeWordsAux bs 0).map (n :: ·)
def decodeWords (bs : List Bool) : Option (List Nat) := decodeWordsAux bs 0
theorem decodeWordsAux_word (n k : Nat) (bs : List Bool) :
decodeWordsAux (encodeWord n ++ bs) k =
(decodeWordsAux bs 0).map ((k + n) :: ·) := by
induction n generalizing k with
| zero => simp [encodeWord, decodeWordsAux]
| succ n ih =>
simp only [encodeWord, List.replicate_succ, List.cons_append, List.append_assoc,
decodeWordsAux]
simpa [encodeWord, Nat.add_assoc, Nat.add_comm, Nat.add_left_comm] using ih (k + 1)
@[simp] theorem decodeWords_encodeWords (ns : List Nat) :
decodeWords (encodeWords ns) = some ns := by
induction ns with
| nil => rfl
| cons n ns ih =>
simp only [decodeWords, encodeWords, decodeWordsAux_word, Nat.zero_add]
simpa [decodeWords] using congrArg (Option.map (n :: ·)) ih
theorem encodeWords_injective {xs ys : List Nat} (h : encodeWords xs = encodeWords ys) :
xs = ys := by
have decoded := congrArg decodeWords h
simpa only [decodeWords_encodeWords, Option.some.injEq] using decoded
@[simp] theorem encodeWord_length (n : Nat) : (encodeWord n).length = n + 1 := by
simp [encodeWord]
@[simp] theorem encodeWords_append (xs ys : List Nat) :
encodeWords (xs ++ ys) = encodeWords xs ++ encodeWords ys := by
induction xs with
| nil => rfl
| cons x xs ih => simp [encodeWords, ih, List.append_assoc]
@[simp] theorem encodeWords_length (ns : List Nat) :
(encodeWords ns).length = ns.sum + ns.length := by
induction ns with
| nil => rfl
| cons n ns ih => simp [encodeWords, ih]; omega
theorem encodeWords_length_le (ns : List Nat) (bound : Nat)
(bounded : ∀ n ∈ ns, n ≤ bound) :
(encodeWords ns).length ≤ ns.length * (bound + 1) := by
induction ns with
| nil => simp [encodeWords]
| cons n ns ih =>
have hn := bounded n (by simp)
have hns := ih (fun x hx => bounded x (by simp [hx]))
simp only [encodeWords, List.length_append, encodeWord_length, List.length_cons,
Nat.add_mul, Nat.one_mul]
omega
open Target
def literalWords {n : Nat} (literal : Literal n) : List Nat :=
[literal.variableIndex.val, if literal.positive then 1 else 0]
def clauseWords {n : Nat} (clause : Clause n) : List Nat :=
literalWords clause[0] ++ literalWords clause[1] ++ literalWords clause[2]
def formulaWords (formula : Formula) : List Nat :=
[formula.«variables», formula.clauses.length] ++ formula.clauses.flatMap clauseWords
def formulaBits (formula : Formula) : List Bool := encodeWords (formulaWords formula)
@[simp] theorem literalWords_length {n : Nat} (literal : Literal n) :
(literalWords literal).length = 2 := by simp [literalWords]
@[simp] theorem clauseWords_length {n : Nat} (clause : Clause n) :
(clauseWords clause).length = 6 := by simp [clauseWords]
theorem clausesWords_length {n : Nat} (clauses : List (Clause n)) :
(clauses.flatMap clauseWords).length = 6 * clauses.length := by
induction clauses with
| nil => rfl
| cons clause clauses ih =>
simp only [List.flatMap_cons, List.length_append, clauseWords_length,
List.length_cons, ih, Nat.mul_add, Nat.mul_one]
omega
@[simp] theorem formulaWords_length (formula : Formula) :
(formulaWords formula).length = 2 + 6 * formula.clauses.length := by
simp only [formulaWords, List.length_append, List.length_cons, List.length_nil,
clausesWords_length]
theorem literalBits_length_le {n : Nat} (literal : Literal n) :
(encodeWords (literalWords literal)).length ≤ n + 2 := by
have hindex := literal.variableIndex.isLt
cases hp : literal.positive <;> simp [literalWords, hp]
theorem clauseBits_length_le {n : Nat} (clause : Clause n) :
(encodeWords (clauseWords clause)).length ≤ 3 * (n + 2) := by
have h0 := literalBits_length_le clause[0]
have h1 := literalBits_length_le clause[1]
have h2 := literalBits_length_le clause[2]
simp only [clauseWords, encodeWords_append, List.length_append]
omega
theorem clausesBits_length_le {n : Nat} (clauses : List (Clause n)) :
(encodeWords (clauses.flatMap clauseWords)).length ≤ clauses.length * (3 * (n + 2)) := by
induction clauses with
| nil => simp [encodeWords]
| cons clause clauses ih =>
have hc := clauseBits_length_le clause
simp only [List.flatMap_cons, encodeWords_append, List.length_append,
List.length_cons, Nat.add_mul, Nat.one_mul]
omega
theorem formulaBits_length_le (formula : Formula) :
(formulaBits formula).length ≤
formula.«variables» + formula.clauses.length + 2 +
formula.clauses.length * (3 * (formula.«variables» + 2)) := by
have h := clausesBits_length_le formula.clauses
simp only [formulaBits, formulaWords, encodeWords_append, List.length_append,
encodeWords, encodeWord_length, List.length_nil]
omega
end IndependentSetsGames.Foundations.Complexity
end OAI