import Mathlib import OAI.Probability.CriticalPercolation.GraphGeometry.VertexBall import OAI.Probability.CriticalPercolation.Criticality.OpenRay import OAI.Probability.CriticalPercolation.GraphGeometry.InducedCritical namespace OAI section section noncomputable section open Set Function MeasureTheory ProbabilityTheory Filter open scoped Classical ENNReal namespace CriticalPercolation.BondGraph variable {V E : Type*} (G : BondGraph V E) lemma image_restrict (S : Set V) (ω : Set E) : Subtype.val '' (Subtype.val ⁻¹' ω : Set (G.inducedEdges S))=ω∩G.inducedEdges S := by ext e constructor · rintro ⟨a,ha,rfl⟩ exact ⟨ha,a.property⟩ · rintro ⟨he,hs⟩ exact ⟨⟨e,hs⟩,he,rfl⟩ def domainComponent (S : Set V) (o : V) : Set V := G.cluster (G.inducedEdges S) o lemma domainComponent_subset {S : Set V} {o : V} (ho : o∈S) : G.domainComponent S o⊆S := by have h := G.induced_cluster_subset S Set.univ (⟨o,ho⟩ : S) simpa only [Set.image_univ,Subtype.range_coe,domainComponent] using h lemma domainComponent_self (S : Set V) (o : V) : o∈G.domainComponent S o := SimpleGraph.Reachable.refl o lemma domainComponent_closed (S : Set V) (o : V) {x y : V} (hx : x∈G.domainComponent S o) (hxy : (G.openGraph (G.inducedEdges S)).Adj x y) : y∈G.domainComponent S o := hx.trans hxy.reachable lemma domainComponent_connected (S : Set V) (o : V) : (G.induce (G.domainComponent S o)).fullGraph.Connected := by let C := G.domainComponent S o let a : C := ⟨o,G.domainComponent_self S o⟩ have hreach : ∀ x : C, ((G.induce C).fullGraph).Reachable a x := by intro x apply (G.induce_reachable C Set.univ a x).mpr rw [Set.image_univ,Subtype.range_coe] have h : (G.openGraph (G.inducedEdges S)).Reachable o x.val := x.property rw [SimpleGraph.reachable_iff_reflTransGen] at h ⊢ have H : ∀ y, Relation.ReflTransGen (G.openGraph (G.inducedEdges S)).Adj o y → Relation.ReflTransGen (G.openGraph (G.inducedEdges C)).Adj o y := by intro y hy induction hy with | refl => exact .refl | @tail b c hr hadj ih => have hb : b∈C := (SimpleGraph.reachable_iff_reflTransGen _ _).mpr hr have hc : c∈C := G.domainComponent_closed S o hb hadj obtain ⟨⟨e,he,hend⟩,hne⟩ := (SimpleGraph.fromEdgeSet_adj _).mp hadj have hC : e∈G.inducedEdges C := by intro v hv rw [hend] at hv rcases Sym2.mem_iff.mp hv with rfl|rfl · exact hb · exact hc exact ih.tail ((SimpleGraph.fromEdgeSet_adj _).mpr ⟨⟨e,hC,hend⟩,hne⟩) exact H _ h exact (SimpleGraph.connected_iff_exists_forall_reachable _).mpr ⟨a,hreach⟩ lemma OpenRay.reachable_start {ω : Set E} (r : G.OpenRay ω) (n : ℕ) : (G.openGraph ω).Reachable (r.vertex 0) (r.vertex n) := by induction n with | zero => exact .refl _ | succ n ih => exact ih.trans (r.adjacent n).reachable lemma OpenRay.percolates {ω : Set E} (r : G.OpenRay ω) : ω∈G.percolates := by refine ⟨r.vertex 0,?_⟩ exact (Set.infinite_range_of_injective r.injective).mono (by rintro x ⟨n,rfl⟩ exact r.reachable_start G n) def OpenRay.induce {ω : Set E} (r : G.OpenRay ω) (S : Set V) (hS : ∀ n, r.vertex n∈S) : (G.induce S).OpenRay (Subtype.val ⁻¹' ω) where vertex n := ⟨r.vertex n,hS n⟩ injective := fun _ _ h => r.injective (congrArg Subtype.val h) adjacent n := by apply (G.induce_adj S (Subtype.val ⁻¹' ω) _ _).mpr rw [G.image_restrict] exact (G.open_induced_adj S ω _ _).mpr ⟨r.adjacent n,hS n,hS (n+1)⟩ lemma OpenRay.mem_domainComponent {ω : Set E} (r : G.OpenRay ω) (S : Set V) (hS : ∀ n, r.vertex n∈S) (n : ℕ) : r.vertex n∈G.domainComponent S (r.vertex 0) := by induction n with | zero => exact G.domainComponent_self S _ | succ n ih => apply G.domainComponent_closed S _ ih apply G.openGraph_mono Set.inter_subset_right exact (G.open_induced_adj S ω _ _).mpr ⟨r.adjacent n,hS n,hS (n+1)⟩ lemma ae_restriction_not_percolates [Countable V] [Countable E] (S : Set V) (p : unitInterval) (h : (G.induce S).law p (G.induce S).percolates=0) : ∀ᵐ ω ∂G.law p, Subtype.val ⁻¹' ω∉(G.induce S).percolates := by rw [←G.law_induce S p,Measure.map_apply] at h · apply ae_iff.mpr convert h using 1 congr 1 ext ω simp only [Set.mem_ofPred_eq,Set.mem_preimage,not_not] · exact Measurable.of_eval (fun edge => measurable_set_mem edge.val) · exact (G.induce S).measurableSet_percolates theorem bounded_ray_critical_component [Countable V] [Countable E] (u v : V → ℝ) (hbad : ¬∀ᵐ ω ∂G.law G.criticalProbability, ¬∃ r : G.OpenRay ω, ∃ U W : ℝ, ∀ n, |u (r.vertex n)|≤U ∧ |v (r.vertex n)|≤W) : ∃ (k : ℕ) (o : V), let S := {x | |u x|≤(k:ℝ) ∧ |v x|≤(k:ℝ)} o∈S ∧ let H := G.induce (G.domainComponent S o) H.criticalProbability=G.criticalProbability ∧ 0 {x | |u x|≤(k:ℝ) ∧ |v x|≤(k:ℝ)} have hex : ∃ (k : ℕ) (o : V), o∈S k ∧ 0<(G.induce (G.domainComponent (S k) o)).law G.criticalProbability (G.induce (G.domainComponent (S k) o)).percolates := by by_contra hh push Not at hh have ha : ∀ k o, ∀ᵐ ω ∂G.law G.criticalProbability, o∈S k → Subtype.val ⁻¹' ω∉(G.induce (G.domainComponent (S k) o)).percolates := by intro k o by_cases ho : o∈S k · exact (G.ae_restriction_not_percolates _ _ (le_antisymm (hh k o ho) bot_le)).mono (fun _ h _ => h) · exact Filter.Eventually.of_forall (fun _ h => (ho h).elim) have hall : ∀ᵐ ω ∂G.law G.criticalProbability, ∀ k o, o∈S k → Subtype.val ⁻¹' ω∉(G.induce (G.domainComponent (S k) o)).percolates := (ae_all_iff.mpr fun k => ae_all_iff.mpr (ha k)) apply hbad filter_upwards [hall] with ω hω rintro ⟨r,U,W,hr⟩ obtain ⟨k,hk⟩ := exists_nat_ge (max U W) have hrS : ∀ n, r.vertex n∈S k := fun n => ⟨(hr n).1.trans ((le_max_left _ _).trans hk), (hr n).2.trans ((le_max_right _ _).trans hk)⟩ exact hω k (r.vertex 0) (hrS 0) ((r.induce G _ (r.mem_domainComponent G _ hrS)).percolates _) obtain ⟨k,o,ho,hp⟩ := hex have heq := G.induce_criticalProbability_eq_of_pos (G.domainComponent (S k) o) hp exact ⟨k,o,ho,heq,by rwa [heq]⟩ end CriticalPercolation.BondGraph end end end end OAI