import Mathlib import OAI.Probability.CriticalPercolation.Criticality.InfiniteEscapeLowerBound namespace OAI section section CurrentModule9 noncomputable section open Set MeasureTheory open scoped Classical BigOperators namespace CriticalPercolation.Sharpness open ClusterDeletion variable {V E : Type*} (G : BondGraph V E) lemma measurableSet_boundary (hl : G.LocallyFinite) (o : V) (S : Set V) (hS : S.Finite) (e : E) : MeasurableSet {ω | boundaryReach G Sᶜ (delete (G.openGraph ω) Sᶜ) o e} := by let K := G.incidentEdges S have hK : K.Finite := finite_incident G hl hS let := hK.fintype have hm : Measurable (fun ω : Set E => (Subtype.val ⁻¹' ω : Set K)) := Measurable.of_eval (fun edge => measurable_set_mem edge.val) have he : {ω | boundaryReach G Sᶜ (delete (G.openGraph ω) Sᶜ) o e} = (fun ω : Set E => (Subtype.val ⁻¹' ω : Set K)) ⁻¹' {η | boundaryReach G Sᶜ (delete ((G.restrictEdges K).openGraph η) Sᶜ) o e} := by ext ω simp only [Set.mem_preimage,Set.mem_ofPred_eq,G.restrictEdges_openGraph, delete_restrict_incident G (K := K) Subset.rfl] rw [he] exact hm (.of_discrete) noncomputable def deleteImageIso (φ : G.Aut) (ω : Set E) (S : Set V) : delete (G.openGraph ω) S ≃g delete (G.openGraph (φ.edge '' ω)) (φ.vertex '' S) where toEquiv := φ.vertex map_rel_iff' := by intro x y change ((G.openGraph (φ.edge '' ω)).Adj (φ.vertex x) (φ.vertex y) ∧ φ.vertex x ∉ φ.vertex '' S ∧ φ.vertex y ∉ φ.vertex '' S) ↔ _ simp only [BondGraph.Aut.adj_map,Set.mem_image,φ.vertex.injective.eq_iff,exists_eq_right] rfl lemma boundary_image (φ : G.Aut) (S : Set V) (o : V) (e : E) (ω : Set E) : boundaryReach G (φ.vertex '' S)ᶜ (delete (G.openGraph (φ.edge '' ω)) (φ.vertex '' S)ᶜ) (φ.vertex o) (φ.edge e) ↔ boundaryReach G Sᶜ (delete (G.openGraph ω) Sᶜ) o e := by have himg : (φ.vertex '' S)ᶜ = φ.vertex '' Sᶜ := by ext v obtain ⟨x,rfl⟩ := φ.vertex.surjective v simp only [Set.mem_compl_iff,Set.mem_image,φ.vertex.injective.eq_iff,exists_eq_right] rw [himg] constructor · rintro ⟨a,b,he,ha,hb,hr⟩ obtain ⟨x,rfl⟩ := φ.vertex.surjective a obtain ⟨y,rfl⟩ := φ.vertex.surjective b have hx : x ∉ Sᶜ := by simpa only [Set.mem_image,φ.vertex.injective.eq_iff,exists_eq_right] using ha have hy : y ∈ Sᶜ := by simpa only [Set.mem_image,φ.vertex.injective.eq_iff,exists_eq_right] using hb rw [φ.preserves,← Sym2.map_mk] at he exact ⟨x,y,Sym2.map.injective φ.vertex.injective he,hx,hy, (SimpleGraph.Iso.reachable_iff (φ := deleteImageIso G φ ω Sᶜ)).mp hr⟩ · rintro ⟨x,y,he,hx,hy,hr⟩ refine ⟨φ.vertex x,φ.vertex y,?_,?_,?_,?_⟩ · rw [φ.preserves,he,Sym2.map_mk] · simpa only [Set.mem_image,φ.vertex.injective.eq_iff,exists_eq_right] using hx · exact ⟨y,hy,rfl⟩ · exact (SimpleGraph.Iso.reachable_iff (φ := deleteImageIso G φ ω Sᶜ)).mpr hr lemma boundary_real_image (hl : G.LocallyFinite) (φ : G.Aut) (p : unitInterval) (S : Set V) (hS : S.Finite) (o : V) (e : E) : (G.law p).real {ω | boundaryReach G (φ.vertex '' S)ᶜ (delete (G.openGraph ω) (φ.vertex '' S)ᶜ) (φ.vertex o) (φ.edge e)} = (G.law p).real {ω | boundaryReach G Sᶜ (delete (G.openGraph ω) Sᶜ) o e} := by change (G.law p _).toReal = (G.law p _).toReal congr 1 calc _ = (G.law p).map (fun ω : Set E => φ.edge '' ω) {ω | boundaryReach G (φ.vertex '' S)ᶜ (delete (G.openGraph ω) (φ.vertex '' S)ᶜ) (φ.vertex o) (φ.edge e)} := by rw [G.law_map_aut p φ] _ = _ := by rw [Measure.map_apply (BernoulliProduct.measurable_image_equiv φ.edge) (measurableSet_boundary G hl _ _ (hS.image _) _)] congr 1 ext ω exact boundary_image G φ S o e ω lemma phi_image (hl : G.LocallyFinite) (φ : G.Aut) (p : unitInterval) (S : Set V) (hS : S.Finite) (o : V) : phi G p (φ.vertex o) (φ.vertex '' S) = phi G p o S := by unfold phi congr 1 rw [← φ.edge.tsum_eq] apply tsum_congr intro e exact boundary_real_image G hl φ p S hS o e theorem uniform_subcritical_domains [Countable V] [Countable E] [Nonempty V] (hl : G.LocallyFinite) (hq : G.QuasiTransitive) (p : unitInterval) (hp : p < G.criticalProbability) : ∃ N : ℕ, ∃ a : ℝ, a < 1 ∧ ∀ o : V, ∃ S : Set V, S.Finite ∧ o ∈ S ∧ S.ncard ≤ N ∧ phi G p o S ≤ a := by obtain ⟨R,hR,horbit⟩ := hq have hne : R.Nonempty := by obtain ⟨v⟩ := ‹Nonempty V› obtain ⟨r,hr,_⟩ := horbit v exact ⟨r,hr⟩ choose D hD hoD hphi using subcritical_finite_size G hl p hp obtain ⟨r,hr,hmax⟩ := Set.exists_max_image R (fun o => phi G p o (D o)) hR hne let N := ∑ o ∈ hR.toFinset, (D o).ncard refine ⟨N,phi G p r (D r),hphi r,?_⟩ intro o obtain ⟨s,hs,φ,rfl⟩ := horbit o refine ⟨φ.vertex '' D s,(hD s).image _,⟨s,hoD s,rfl⟩,?_,?_⟩ · rw [Set.ncard_image_of_injective _ φ.vertex.injective] exact Finset.single_le_sum (f := fun o => (D o).ncard) (fun _ _ => Nat.zero_le _) (hR.mem_toFinset.mpr hs) · rw [phi_image G hl φ p (D s) (hD s) s] exact hmax s hs end CriticalPercolation.Sharpness end end CurrentModule9 end end OAI