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Add lean source and binary files (part 45)
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import Mathlib
import OAI.Combinatorics.IndependentSets.Model
import OAI.Combinatorics.IndependentSets.Reduction.SamplerParameters
namespace OAI
namespace LargeIndependentSets
open scoped Classical BigOperators
namespace Graph
noncomputable def ofSimple {W : Type} [Fintype W] [Nonempty W] (H : SimpleGraph W) : Graph where
vertices := Fintype.card W
nonempty := Fintype.card_pos
adj u v := decide (H.Adj ((Fintype.equivFin W).symm u) ((Fintype.equivFin W).symm v))
symm u v := by simp only [decide_eq_decide]; exact H.adj_comm _ _
loopless u := by simp
theorem ofSimple_colorable {W : Type} [Fintype W] [Nonempty W] (H : SimpleGraph W)
(h : ∃ color : W → Fin 3, ∀ u v, H.Adj u v → color u ≠ color v) :
(ofSimple H).ThreeColorable := by
obtain ⟨color,hcolor⟩ := h
refine ⟨fun u => color ((Fintype.equivFin W).symm u),?_⟩
intro u v h
exact hcolor _ _ (of_decide_eq_true h)
theorem ofSimple_independent {W : Type} [Fintype W] [Nonempty W] (H : SimpleGraph W)
(A : Finset (Fin (ofSimple H).vertices)) (hA : (ofSimple H).Independent A) :
H.IsIndepSet (A.image (Fintype.equivFin W).symm : Set W) := by
intro u hu v hv hne hadj
obtain ⟨a,ha,rfl⟩ := Finset.mem_image.mp hu
obtain ⟨b,hb,rfl⟩ := Finset.mem_image.mp hv
have hne' : a ≠ b := fun h => hne (congrArg _ h)
have hh := hA a ha b hb hne'
have ht : (ofSimple H).adj a b = true := by exact decide_eq_true hadj
exact Bool.false_ne_true (hh.symm.trans ht)
lemma exists_max_independent (G : Graph) :
∃ A : Finset (Fin G.vertices), G.Independent A ∧ G.independenceNumber = A.card := by
let all := ((Finset.univ : Finset (Fin G.vertices)).powerset.filter G.Independent)
have hne : all.Nonempty := by
refine ⟨∅,?_⟩
simp [all, Independent]
obtain ⟨A,hA,he⟩ := Finset.exists_mem_eq_sup all hne Finset.card
exact ⟨A,(Finset.mem_filter.mp hA).2,he⟩
theorem ofSimple_alpha {W : Type} [Fintype W] [Nonempty W] (H : SimpleGraph W)
{δ : ℝ} (h : ∀ A : Finset W, H.IsIndepSet (A : Set W) →
(A.card : ℝ) / Fintype.card W < δ) :
((ofSimple H).independenceNumber : ℝ) < δ * (ofSimple H).vertices := by
obtain ⟨A,hA,he⟩ := (ofSimple H).exists_max_independent
have hh := h (A.image (Fintype.equivFin W).symm) (ofSimple_independent H A hA)
have hc : (A.image (Fintype.equivFin W).symm).card = A.card := by
apply Finset.card_image_iff.mpr
exact (Fintype.equivFin W).symm.injective.injOn
rw [hc] at hh
rw [he]
exact (div_lt_iff₀ (Nat.cast_pos.mpr Fintype.card_pos)).mp hh
def clique (q : ℕ) (hq : 0 < q) : Graph where
vertices := q
nonempty := hq
adj u v := decide (u ≠ v)
symm u v := by simp [ne_comm]
loopless u := by simp
lemma clique_alpha_le (q : ℕ) (hq : 0 < q) : (clique q hq).independenceNumber ≤ 1 := by
obtain ⟨A,hA,he⟩ := (clique q hq).exists_max_independent
rw [he]
apply Finset.card_le_one.mpr
intro u hu v hv
by_contra hne
have hh := hA u hu v hv hne
let : DecidableEq (Fin q) := instDecidableEqFin q
have hh' : decide (u ≠ v) = false := hh
exact (of_decide_eq_false hh') hne
lemma clique_sound (q : ℕ) (hq : 0 < q) {δ : ℝ} (hδq : 1 < δ*q) :
((clique q hq).independenceNumber : ℝ) < δ*(clique q hq).vertices :=
lt_of_le_of_lt (by exact_mod_cast clique_alpha_le q hq) hδq
end Graph
namespace SamplerParameters
def CliqueTest (p : SamplerParameters) {U V L R C : Type} [Fintype L] [Fintype R]
(lc : LabelCoverData U V L R C) : Prop :=
∃ x : GridLocation (LayerAnswer L R (U:=U) (V:=V) (n:=p.n)) (p.m*2^p.k),
pathDistance (layeredSystem lc p.n).linkLength x (gridAntipode x) ≤ ENNReal.ofReal (1/8)
noncomputable def output (p : SamplerParameters) (q : ℕ) (hq : 0 < q)
{U V L R C : Type} [Fintype L] [Fintype R] [Fintype C] [Nonempty C]
(lc : LabelCoverData U V L R C) : Graph :=
if p.CliqueTest lc then Graph.clique q hq else Graph.ofSimple (p.graph lc)
lemma output_complete (p : SamplerParameters) (q : ℕ) (hq : 0 < q)
{U V L R C : Type} [Fintype L] [Fintype R] [Fintype C] [Nonempty C]
(lc : LabelCoverData U V L R C) (ℓ : U → L) (ρ : V → R) (h : lc.Satisfied ℓ ρ) :
(p.output q hq lc).ThreeColorable := by
obtain ⟨hn,hcol⟩ := p.completeness lc ℓ ρ h
have ht : ¬p.CliqueTest lc := by
rintro ⟨x,hx⟩
exact hn x hx
rw [output,ite_eq_right ht]
exact Graph.ofSimple_colorable _ hcol
lemma output_size (p : SamplerParameters) (q : ℕ) (hq : 0 < q)
{U V L R C : Type} [Fintype L] [Fintype R] [Fintype C] [Nonempty C]
(lc : LabelCoverData U V L R C) :
(p.output q hq lc).vertices ≤ max q (Fintype.card C ^ p.n * (p.law L R).denominator) := by
unfold output
split
· exact le_max_left _ _
· change Fintype.card (p.Vertices L R C) ≤ _
rw [RationalLaw.card_vertices]
exact le_max_right _ _
end SamplerParameters
theorem finite_graph_reduction {δ : ℝ} (hδ : 0 < δ) :
∃ p : SamplerParameters, ∃ σ : ℚ, ∃ q : ℕ, ∃ hq : 0 < q,
0 < σ ∧ σ < 1 ∧
∀ (U V L R C : Type) [Fintype L] [Fintype R] [Fintype C]
[Nonempty L] [Nonempty R] [Nonempty C] (lc : LabelCoverData U V L R C),
((∃ ℓ ρ, lc.Satisfied ℓ ρ) → (p.output q hq lc).ThreeColorable) ∧
(lc.Sound (σ:ℝ) → ((p.output q hq lc).independenceNumber : ℝ) <
δ*(p.output q hq lc).vertices) := by
obtain ⟨p,σ,hσ,hσ1,H⟩ := finite_source_soundness hδ
obtain ⟨q,hq⟩ := exists_nat_gt (max (1:ℝ) (1/δ))
have hq0 : 0 < q := by exact_mod_cast lt_trans (by norm_num : (0:ℝ) < 1) ((le_max_left _ _).trans_lt hq)
have hδq : 1 < δ*(q:ℝ) := by
have hh := (div_lt_iff₀ hδ).mp ((le_max_right _ _).trans_lt hq)
nlinarith
refine ⟨p,σ,q,hq0,hσ,hσ1,?_⟩
intro U V L R C _ _ _ _ _ _ lc
constructor
· rintro ⟨ℓ,ρ,h⟩
exact p.output_complete q hq0 lc ℓ ρ h
· intro hs
by_cases ht : p.CliqueTest lc
· rw [SamplerParameters.output,ite_eq_left ht]
exact Graph.clique_sound q hq0 hδq
· rw [SamplerParameters.output,ite_eq_right ht]
apply Graph.ofSimple_alpha
apply H U V L R C lc hs
intro x hx
exact ht ⟨x,hx⟩
end LargeIndependentSets
end OAI