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Add lean source and binary files (part 64)
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import Mathlib
import OAI.Computability.VertexCover.PCP.ZigzagSpectral
import OAI.Computability.VertexCover.PCP.NameCompaction
import OAI.Computability.VertexCover.Repetition.CompletedSampling
namespace OAI
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namespace VertexCover
structure LabelCover where
u : ℕ
v : ℕ
qU : ℕ
qV : ℕ
M : ℕ
qU_pos : 0 < qU
qV_pos : 0 < qV
M_pos : 0 < M
left : Fin M → Fin u
right : Fin M → Fin v
projection : Fin M → Fin qU → Fin qV
namespace LabelCover
abbrev Labeling (Φ : LabelCover) := (Fin Φ.u → Fin Φ.qU) × (Fin Φ.v → Fin Φ.qV)
def Satisfies (Φ : LabelCover) (A : Φ.Labeling) (c : Fin Φ.M) : Prop :=
Φ.projection c (A.1 (Φ.left c)) = A.2 (Φ.right c)
instance (Φ : LabelCover) (A : Φ.Labeling) (c : Fin Φ.M) :
Decidable (Φ.Satisfies A c) := inferInstanceAs (Decidable (_ = _))
def satisfiedCount (Φ : LabelCover) (A : Φ.Labeling) : ℕ :=
(Finset.univ.filter (Φ.Satisfies A)).card
def maxSatisfied (Φ : LabelCover) : ℕ :=
Finset.univ.sup Φ.satisfiedCount
noncomputable def value (Φ : LabelCover) : ℝ := (Φ.maxSatisfied : ℝ) / Φ.M
def defaultLabeling (Φ : LabelCover) : Φ.Labeling :=
(fun _ => ⟨0, Φ.qU_pos⟩, fun _ => ⟨0, Φ.qV_pos⟩)
theorem satisfiedCount_le_max (Φ : LabelCover) (A : Φ.Labeling) :
Φ.satisfiedCount A ≤ Φ.maxSatisfied := by
exact Finset.le_sup (f := Φ.satisfiedCount) (Finset.mem_univ A)
theorem count_le_of_value_le (Φ : LabelCover) {σ : ℝ} (h : Φ.value ≤ σ)
(A : Φ.Labeling) : (Φ.satisfiedCount A : ℝ) ≤ σ * Φ.M := by
have hM : (0 : ℝ) < Φ.M := Nat.cast_pos.mpr Φ.M_pos
have hm : (Φ.maxSatisfied : ℝ) ≤ σ * Φ.M := (div_le_iff₀ hM).mp h
exact le_trans (Nat.cast_le.mpr (Φ.satisfiedCount_le_max A)) hm
abbrev Query (Φ : LabelCover) (d : ℕ) :=
Σ j : Fin d,
({k : Fin d // j < k} → Fin Φ.u) × ({k : Fin d // k < j} → Fin Φ.v)
namespace Query
def scopeU {Φ : LabelCover} {d : ℕ} (i : Φ.Query d) : Finset (Fin Φ.u) :=
Finset.univ.image i.2.1
def scopeV {Φ : LabelCover} {d : ℕ} (i : Φ.Query d) : Finset (Fin Φ.v) :=
Finset.univ.image i.2.2
abbrev Assignment {Φ : LabelCover} {d : ℕ} (i : Φ.Query d) :=
({x // x ∈ i.scopeU} → Fin Φ.qU) × ({y // y ∈ i.scopeV} → Fin Φ.qV)
def Valid {Φ : LabelCover} {d : ℕ} (i : Φ.Query d) (A : i.Assignment) : Prop :=
∀ c : Fin Φ.M, ∀ hx : Φ.left c ∈ i.scopeU, ∀ hy : Φ.right c ∈ i.scopeV,
Φ.projection c (A.1 ⟨Φ.left c, hx⟩) = A.2 ⟨Φ.right c, hy⟩
instance {Φ : LabelCover} {d : ℕ} (i : Φ.Query d) (A : i.Assignment) :
Decidable (i.Valid A) := inferInstanceAs (Decidable (∀ _c _hx _hy, _ = _))
abbrev LocalLabel {Φ : LabelCover} {d : ℕ} (i : Φ.Query d) :=
{A : i.Assignment // i.Valid A}
end Query
abbrev Coordinate (Φ : LabelCover) (d : ℕ) := Σ i : Φ.Query d, i.LocalLabel
def Compatible (Φ : LabelCover) {d : ℕ} (I : Finset (Φ.Coordinate d)) : Prop :=
(∀ p ∈ I, ∀ q ∈ I, p.1 = q.1 → p = q) ∧
(∀ p ∈ I, ∀ q ∈ I, ∀ x (hp : x ∈ p.1.scopeU) (hq : x ∈ q.1.scopeU),
p.2.1.1 ⟨x, hp⟩ = q.2.1.1 ⟨x, hq⟩) ∧
(∀ p ∈ I, ∀ q ∈ I, ∀ y (hp : y ∈ p.1.scopeV) (hq : y ∈ q.1.scopeV),
p.2.1.2 ⟨y, hp⟩ = q.2.1.2 ⟨y, hq⟩) ∧
(∀ p ∈ I, ∀ q ∈ I, ∀ c (hp : Φ.left c ∈ p.1.scopeU)
(hq : Φ.right c ∈ q.1.scopeV),
Φ.projection c (p.2.1.1 ⟨Φ.left c, hp⟩) = q.2.1.2 ⟨Φ.right c, hq⟩)
theorem compatible_mono (Φ : LabelCover) {d : ℕ} {I J : Finset (Φ.Coordinate d)}
(h : Φ.Compatible I) (hJI : J ⊆ I) : Φ.Compatible J := by
rcases h with ⟨hu, hx, hy, hc⟩
exact ⟨fun p hp q hq => hu p (hJI hp) q (hJI hq),
fun p hp q hq => hx p (hJI hp) q (hJI hq),
fun p hp q hq => hy p (hJI hp) q (hJI hq),
fun p hp q hq => hc p (hJI hp) q (hJI hq)⟩
theorem compatible_singleton (Φ : LabelCover) {d : ℕ} (p : Φ.Coordinate d) :
Φ.Compatible {p} := by
classical
refine ⟨?_, ?_, ?_, ?_⟩
· intro a ha b hb _
simp only [Finset.mem_singleton] at ha hb
exact ha.trans hb.symm
· intro a ha b hb x hx hy
simp only [Finset.mem_singleton] at ha hb
subst a; subst b; rfl
· intro a ha b hb x hx hy
simp only [Finset.mem_singleton] at ha hb
subst a; subst b; rfl
· intro a ha b hb c hx hy
simp only [Finset.mem_singleton] at ha hb
subst a; subst b
exact p.2.2 c hx hy
end LabelCover
end VertexCover
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end
end OAI