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Add lean source and binary files (part 44)
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import OAI.Combinatorics.GraphThreshold.Statement
import Mathlib.Algebra.Group.Action.Pointwise.Finset
namespace OAI
noncomputable section
open scoped Pointwise
namespace LeanBlast.SecondKahnKalai
/-- The non-loop edge set of an ordinary graph on `Fin n`. -/
def graphEdges {n : ℕ} (G : SimpleGraph (Fin n)) : Finset (Edge n) := by
classical
exact Finset.univ.filter (fun e => e.val ∈ G.edgeSet)
variable {n : ℕ}
/-- Vertex permutations act on unordered non-loop edges. -/
instance edgeMulAction : MulAction (Equiv.Perm (Fin n)) (Edge n) where
smul σ e := ⟨Sym2.map σ e.val, fun h =>
e.property ((Sym2.isDiag_map σ.injective).mp h)⟩
one_smul e := by
apply Subtype.ext
change Sym2.map (1 : Equiv.Perm (Fin n)) e.val = e.val
simp
mul_smul σ τ e := by
apply Subtype.ext
change Sym2.map (σ * τ) e.val = Sym2.map σ (Sym2.map τ e.val)
rw [Sym2.map_map]
rfl
@[simp]
theorem edge_smul_val (σ : Equiv.Perm (Fin n)) (e : Edge n) :
(σ • e).val = Sym2.map σ e.val := rfl
@[simp]
theorem mem_graphEdges (G : SimpleGraph (Fin n)) (e : Edge n) :
e ∈ graphEdges G ↔ e.val ∈ G.edgeSet := by
classical
simp [graphEdges]
theorem edgeSet_graphOfEdges (W : Finset (Edge n)) :
(graphOfEdges W).edgeSet = Subtype.val '' (W : Set (Edge n)) := by
rw [graphOfEdges, SimpleGraph.edgeSet_fromEdgeSet]
ext e
constructor
· exact And.left
· rintro ⟨a, ha, rfl⟩
exact ⟨⟨a, ha, rfl⟩, a.property⟩
@[simp]
theorem mem_edgeSet_graphOfEdges (W : Finset (Edge n)) (e : Edge n) :
e.val ∈ (graphOfEdges W).edgeSet ↔ e ∈ W := by
classical
simp [graphOfEdges, e.property, Subtype.val_injective.eq_iff]
@[simp]
theorem graphEdges_graphOfEdges (W : Finset (Edge n)) :
graphEdges (graphOfEdges W) = W := by
classical
ext e
simp
@[simp]
theorem graphOfEdges_graphEdges (G : SimpleGraph (Fin n)) :
graphOfEdges (graphEdges G) = G := by
apply SimpleGraph.edgeSet_injective
ext e
by_cases he : e.IsDiag
· simp [SimpleGraph.not_mem_edgeSet_of_isDiag, he]
· exact (mem_edgeSet_graphOfEdges (graphEdges G) ⟨e, he⟩).trans
(mem_graphEdges G ⟨e, he⟩)
/-- No graphs or edge sets are omitted or multiply represented. -/
def graphEdgeEquiv (n : ℕ) : Finset (Edge n) ≃ SimpleGraph (Fin n) where
toFun := graphOfEdges
invFun := graphEdges
left_inv := graphEdges_graphOfEdges
right_inv := graphOfEdges_graphEdges
theorem graphOfEdges_smul (σ : Equiv.Perm (Fin n)) (W : Finset (Edge n)) :
graphOfEdges (σ • W) = (graphOfEdges W).map σ.toEmbedding := by
apply SimpleGraph.edgeSet_injective
rw [edgeSet_graphOfEdges, SimpleGraph.edgeSet_map, edgeSet_graphOfEdges,
Finset.smul_finset_def, Finset.coe_image, Set.image_image, Set.image_image]
rfl
theorem graphEdges_map (σ : Equiv.Perm (Fin n)) (G : SimpleGraph (Fin n)) :
graphEdges (G.map σ.toEmbedding) = σ • graphEdges G := by
apply (graphEdgeEquiv n).injective
change graphOfEdges _ = graphOfEdges _
rw [graphOfEdges_graphEdges, graphOfEdges_smul, graphOfEdges_graphEdges]
@[simp]
theorem graphOfEdges_empty : graphOfEdges (∅ : Finset (Edge n)) = ⊥ := by
simp [graphOfEdges]
@[simp]
theorem graphEdges_bot : graphEdges (⊥ : SimpleGraph (Fin n)) = ∅ := by
classical
ext e
simp
@[simp]
theorem graphEdges_top : graphEdges (⊤ : SimpleGraph (Fin n)) = Finset.univ := by
classical
ext e
simp [e.property]
@[simp]
theorem graphOfEdges_univ : graphOfEdges (Finset.univ : Finset (Edge n)) = ⊤ := by
rw [← graphEdges_top, graphOfEdges_graphEdges]
theorem graphEdges_mono {G H : SimpleGraph (Fin n)} (h : G ≤ H) :
graphEdges G ⊆ graphEdges H := by
intro e he
exact (mem_graphEdges H e).mpr (SimpleGraph.edgeSet_mono h
((mem_graphEdges G e).mp he))
theorem graphOfEdges_mono {S T : Finset (Edge n)} (h : S ⊆ T) :
graphOfEdges S ≤ graphOfEdges T := by
apply SimpleGraph.fromEdgeSet_mono
exact Set.image_mono h
@[simp]
theorem graphOfEdges_le_iff {S T : Finset (Edge n)} :
graphOfEdges S ≤ graphOfEdges T ↔ S ⊆ T := by
constructor
· intro h
simpa using graphEdges_mono h
· exact graphOfEdges_mono
/-- Edge-set encoding preserves the ordinary unlabelled edge count. -/
def graphEdgesEquiv (G : SimpleGraph (Fin n)) : ↥(graphEdges G) ≃ G.edgeSet where
toFun e := ⟨e.val.val, (mem_graphEdges G e.val).mp e.property⟩
invFun e := ⟨⟨e.val, G.not_isDiag_of_mem_edgeSet e.property⟩,
(mem_graphEdges G _).mpr e.property⟩
left_inv _ := rfl
right_inv _ := rfl
@[simp]
theorem card_graphEdges (G : SimpleGraph (Fin n)) :
(graphEdges G).card = edgeCount G := by
classical
rw [edgeCount, Nat.card_eq_fintype_card, ← Fintype.card_coe]
exact Fintype.card_congr (graphEdgesEquiv G)
@[simp]
theorem edgeCount_graphOfEdges (W : Finset (Edge n)) :
edgeCount (graphOfEdges W) = W.card := by
rw [← card_graphEdges, graphEdges_graphOfEdges]
theorem edgeCount_eq_card_edgeFinset {V : Type*} [Fintype V] (G : SimpleGraph V)
[Fintype G.edgeSet] :
edgeCount G = G.edgeFinset.card := by
classical
rw [edgeCount, Nat.card_eq_fintype_card, SimpleGraph.edgeFinset_card]
theorem edgeCount_eq_zero_iff {V : Type*} [Fintype V] (G : SimpleGraph V) :
edgeCount G = 0 ↔ G = ⊥ := by
classical
rw [edgeCount_eq_card_edgeFinset, Finset.card_eq_zero]
exact G.edgeFinset_eq_empty
theorem positive_copies_iff {V : Type*} (W : Finset (Edge n)) (H : SimpleGraph V) :
0 < (graphOfEdges W).copyCount H ↔ H.IsContained (graphOfEdges W) :=
SimpleGraph.copyCount_pos
end LeanBlast.SecondKahnKalai
end
end OAI