openAI-math-dataset / lean /OAI /Probability /CriticalPercolation /Modular /ClusterTransportGeometry.lean
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Add lean source and binary files (part 120)
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import Mathlib
import OAI.Probability.CriticalPercolation.GraphGeometry.GraphBalls
import OAI.Probability.CriticalPercolation.Modular.ClusterMassInfinite
namespace OAI
section
noncomputable section
open Set MeasureTheory Filter
open scoped Classical BigOperators Topology
namespace CriticalPercolation.FiniteClusters
variable {V E : Type*} (G : BondGraph V E)
def small (r : ℕ) (ω : Set E) (v : V) : Prop :=
∀ x ∈ G.cluster ω v, ∀ y ∈ G.cluster ω v, y ∈ G.vertexBall x r
lemma small_cluster_subset {r : ℕ} {ω : Set E} {v : V} (h : small G r ω v) :
G.cluster ω v ⊆ G.vertexBall v r :=
h v (SimpleGraph.Reachable.refl v)
lemma small_finite (hl : G.LocallyFinite) {r : ℕ} {ω : Set E} {v : V}
(h : small G r ω v) : (G.cluster ω v).Finite :=
(G.vertexBall_finite hl v r).subset (small_cluster_subset G h)
lemma small_mono {r R : ℕ} (h : r ≤ R) {ω : Set E} {v : V}
(hs : small G r ω v) : small G R ω v :=
fun x hx y hy => G.vertexBall_mono x h (hs x hx y hy)
lemma small_reachable (r : ℕ) {ω : Set E} {u v : V}
(h : (G.openGraph ω).Reachable u v) : small G r ω u ↔ small G r ω v := by
unfold small
rw [G.cluster_eq_of_reachable h]
lemma eventually_small (hc : G.fullGraph.Connected) {ω : Set E} {v : V}
(hC : (G.cluster ω v).Finite) : ∀ᶠ r in atTop, small G r ω v := by
obtain ⟨n,hn⟩ := G.finite_subset_vertexBall hc v hC
apply eventually_atTop.mpr
refine ⟨n+n,fun m hm x hx y hy => ?_⟩
exact G.vertexBall_mono x hm (G.vertexBall_add ((G.vertexBall_comm).mp (hn hx)) n (hn hy))
lemma small_aut (φ : G.Aut) (r : ℕ) (ω : Set E) (v : V) :
small G r (φ.edge '' ω) (φ.vertex v) ↔ small G r ω v := by
unfold small
rw [← φ.cluster_image]
constructor
· intro h x hx y hy
exact (φ.vertexBall_mem G x y r).mp (h _ ⟨x,hx,rfl⟩ _ ⟨y,hy,rfl⟩)
· rintro h _ ⟨x,hx,rfl⟩ _ ⟨y,hy,rfl⟩
exact (φ.vertexBall_mem G x y r).mpr (h x hx y hy)
lemma mass_aut (φ : G.Aut) (s : ℕ) (ω : Set E) (v : V) :
mass G s (φ.edge '' ω) (φ.vertex v) = mass G s ω v := by
unfold mass size
rw [← φ.cluster_image,Set.ncard_image_of_injective _ φ.vertex.injective]
lemma coefficient_aut (φ : G.Aut) (p : ℝ) (ω : Set E) (e : E) :
coefficient p (φ.edge '' ω) (φ.edge e) = coefficient p ω e := by
simp [coefficient]
lemma incidentCluster_aut (φ : G.Aut) (ω : Set E) (v : V) (e : E) :
φ.edge e ∈ G.incidentEdges (G.cluster (φ.edge '' ω) (φ.vertex v)) ↔
e ∈ G.incidentEdges (G.cluster ω v) := by
rw [← φ.cluster_image]
simp only [BondGraph.incidentEdges,Set.mem_ofPred_eq,Set.mem_image,φ.preserves,Sym2.mem_map]
constructor
· rintro ⟨_,⟨x,hx,rfl⟩,y,hy,hyx⟩
exact ⟨x,hx,(φ.vertex.injective hyx) ▸ hy⟩
· rintro ⟨x,hx,he⟩
exact ⟨φ.vertex x,⟨x,hx,rfl⟩,x,he,rfl⟩
lemma incidentRoots (ω : Set E) (e : E) :
{v | e ∈ G.incidentEdges (G.cluster ω v)} =
G.cluster ω (G.ends e).out.1 ∪ G.cluster ω (G.ends e).out.2 := by
ext v
have he : G.ends e = s((G.ends e).out.1,(G.ends e).out.2) := (G.ends e).out_eq.symm
have hend (x : V) : x ∈ G.ends e ↔ x = (G.ends e).out.1 ∨ x = (G.ends e).out.2 := by
conv_lhs => rw [he]
exact Sym2.mem_iff
simp only [BondGraph.incidentEdges,Set.mem_ofPred_eq,hend,Set.mem_union]
constructor
· rintro ⟨x,hx,hx' | hx'⟩
· subst x; exact Or.inl (SimpleGraph.Reachable.symm hx)
· subst x; exact Or.inr (SimpleGraph.Reachable.symm hx)
· rintro (h | h)
· exact ⟨_,SimpleGraph.Reachable.symm h,Or.inl rfl⟩
· exact ⟨_,SimpleGraph.Reachable.symm h,Or.inr rfl⟩
variable [Countable V] [Countable E]
lemma measurable_small (r : ℕ) (v : V) : Measurable (fun ω => small G r ω v) := by
exact Measurable.forall (fun x => (G.measurable_reachable v x).imp
(Measurable.forall (fun y => (G.measurable_reachable v y).imp measurable_const)))
end CriticalPercolation.FiniteClusters
end
end
end OAI