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Add lean source and binary files (part 4)
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import Mathlib
namespace OAI
namespace UniqueGames.BinaryFormula
structure Literal where
name : Nat
positive : Bool
deriving DecidableEq
def Literal.eval (literal : Literal) (assignment : Nat → Bool) : Bool :=
if literal.positive then assignment literal.name else !(assignment literal.name)
abbrev Clause := Vector Literal 3
def Clause.eval (clause : Clause) (assignment : Nat → Bool) : Bool :=
(clause[0].eval assignment || clause[1].eval assignment) || clause[2].eval assignment
structure Formula where
clauses : List Clause
def Formula.Satisfiable (F : Formula) : Prop :=
∃ assignment : Nat → Bool, ∀ clause ∈ F.clauses, clause.eval assignment = true
end UniqueGames.BinaryFormula
namespace UniqueGames.BinaryEncoding
open BinaryFormula
def bitsValue : List Bool → Nat
| [] => 0
| b :: bits => Nat.bit b (bitsValue bits)
def frame : List Bool → List Bool
| [] => [false]
| b :: bits => true :: b :: frame bits
def parseFrame : List Bool → Option (List Bool × List Bool)
| false :: rest => some ([], rest)
| true :: b :: rest => do
let (bits, trailing) ← parseFrame rest
return (b :: bits, trailing)
| _ => none
def nameBits (name : Nat) : List Bool := frame name.bits
def parseName (input : List Bool) : Option (Nat × List Bool) := do
let (digits, rest) ← parseFrame input
let name := bitsValue digits
if digits = name.bits then some (name, rest) else none
def parseLiteral : List Bool → Option (Literal × List Bool)
| sign :: input => do
let (name, rest) ← parseName input
return (⟨name, sign⟩, rest)
| [] => none
def parseClause (input : List Bool) : Option (Clause × List Bool) := do
let (a, input) ← parseLiteral input
let (b, input) ← parseLiteral input
let (c, rest) ← parseLiteral input
return (#v[a, b, c], rest)
def parseClauses : Nat → List Bool → Option (List Clause × List Bool)
| 0, _ => none
| _fuel + 1, false :: rest => some ([], rest)
| fuel + 1, true :: input => do
let (clause, input) ← parseClause input
let (clauses, rest) ← parseClauses fuel input
return (clause :: clauses, rest)
| _ + 1, [] => none
def decodeFormula (input : List Bool) : Option Formula := do
let (clauses, rest) ← parseClauses (input.length + 1) input
if rest = [] then some ⟨clauses⟩ else none
end UniqueGames.BinaryEncoding
namespace VertexCover
def ThreeSAT (input : List Bool) : Prop :=
∃ formula, UniqueGames.BinaryEncoding.decodeFormula input = some formula ∧
formula.Satisfiable
structure ExplicitGraph where
n : ℕ
edges : List (Fin n × Fin n)
increasing : ∀ e ∈ edges, e.1 < e.2
nodup : edges.Nodup
namespace ExplicitGraph
def Cover (G : ExplicitGraph) (S : Finset (Fin G.n)) : Prop :=
∀ e ∈ G.edges, e.1 ∈ S ∨ e.2 ∈ S
instance (G : ExplicitGraph) (S : Finset (Fin G.n)) : Decidable (G.Cover S) :=
inferInstanceAs (Decidable (∀ e ∈ G.edges, e.1 ∈ S ∨ e.2 ∈ S))
noncomputable def coverNumber (G : ExplicitGraph) : ℕ :=
Nat.find (show ∃ k : ℕ, ∃ S : Finset (Fin G.n), G.Cover S ∧ S.card = k from
⟨G.n, Finset.univ, by simp [Cover], by simp⟩)
def bits (G : ExplicitGraph) : List Bool :=
let names := [G.n] ++ List.range G.n ++ [G.edges.length] ++
G.edges.flatMap (fun e => [e.1.val, e.2.val])
names.flatMap UniqueGames.BinaryEncoding.nameBits
end ExplicitGraph
def FiniteAlphabet (M : Turing.FinTM2) : Prop := ∀ k, Finite (M.Γ k)
structure GapReduction (m : ℕ) where
construct : List Bool → ExplicitGraph
computation : Turing.TM2ComputableInPolyTime (id : List Bool → List Bool)
ExplicitGraph.bits construct
finiteAlphabet : FiniteAlphabet computation.tm
completeness : ∀ input, ThreeSAT input →
((construct input).coverNumber : ℝ) <
(1 / 2 + 1 / (m : ℝ)) * (construct input).n
soundness : ∀ input, ¬ ThreeSAT input →
(1 - 1 / (m : ℝ)) * (construct input).n <
((construct input).coverNumber : ℝ)
def natListBits (L : List ℕ) : List Bool :=
(L.length :: L).flatMap UniqueGames.BinaryEncoding.nameBits
structure Approximation (α : ℝ) where
run : ExplicitGraph → List ℕ
computation : Turing.TM2ComputableInPolyTime ExplicitGraph.bits natListBits run
finiteAlphabet : FiniteAlphabet computation.tm
nodup : ∀ G, (run G).Nodup
vertices : ∀ G, ∀ v ∈ run G, v < G.n
covers : ∀ G, ∀ e ∈ G.edges, e.1.val ∈ run G ∨ e.2.val ∈ run G
quality : ∀ G, ((run G).length : ℝ) ≤ α * (G.coverNumber : ℝ)
structure ThreeSATDecision where
run : List Bool → Bool
computation : Turing.TM2ComputableInPolyTime (id : List Bool → List Bool)
(fun b : Bool => [b]) run
finiteAlphabet : FiniteAlphabet computation.tm
correct : ∀ input, run input = true ↔ ThreeSAT input
theorem explicit_cover_gap (m : ℕ) (hm : 4 ≤ m) : Nonempty (GapReduction m) := by
sorry
theorem every_fixed_factor_below_two (α : ℝ) (hα : 1 ≤ α) (hα2 : α < 2)
(algorithm : Approximation α) : Nonempty ThreeSATDecision := by
sorry
end VertexCover
end OAI