import Mathlib import OAI.Probability.CriticalPercolation.Criticality.FiniteEnergy import OAI.Probability.CriticalPercolation.Criticality.SubcriticalLocalRateBound import OAI.Probability.CriticalPercolation.Modular.ClusterDiscrepancy import OAI.Probability.CriticalPercolation.Modular.CriticalHeavyUniqueness import OAI.Probability.CriticalPercolation.Modular.HeavyHarris import OAI.Probability.CriticalPercolation.Modular.ModularClusterMass import OAI.Probability.CriticalPercolation.Modular.ModularGrowth namespace OAI section noncomputable section open Set MeasureTheory open scoped Classical ENNReal namespace CriticalPercolation.BondGraph variable {V E : Type*} (G : BondGraph V E) lemma Aut.heavyClusterEvent_iff (hc : G.fullGraph.Connected) (hl : G.LocallyFinite) (φ : G.Aut) (o v : V) (ω : Set E) : φ.edge '' ω∈G.heavyClusterEvent o (φ.vertex v) ↔ ω∈G.heavyClusterEvent o v := by change G.modularMass o (G.cluster _ _)=∞ ↔ _ rw [G.modularMass_eq_top_change_base hc hl o (φ.vertex o),←φ.cluster_image,φ.modularMass_image] rfl lemma Aut.heavyClusterEvent_measure [Countable V] [Countable E] (hc : G.fullGraph.Connected) (hl : G.LocallyFinite) (φ : G.Aut) (p : unitInterval) (o v : V) : G.law p (G.heavyClusterEvent o (φ.vertex v))=G.law p (G.heavyClusterEvent o v) := by conv_lhs => rw [←G.law_map_aut p φ] rw [Measure.map_apply (BernoulliProduct.measurable_image_equiv φ.edge) (G.measurableSet_heavyClusterEvent _ _)] congr 1 ext ω exact φ.heavyClusterEvent_iff G hc hl o v ω lemma heavyClusterEvent_pos_all [Countable V] [Countable E] (hc : G.fullGraph.Connected) (p : unitInterval) (hp : 0
p) (fun _ => hp) S hS (G.heavyClusterEvent o x) (G.measurableSet_heavyClusterEvent _ _) (by rwa [BernoulliProduct.law_const]) rw [BernoulliProduct.law_const] at hnull have hle : G.law p (G.heavyClusterEvent o v)≤0 := by rw [←hnull] apply measure_mono intro ω hω change G.modularMass o (G.cluster (S∪ω) x)=∞ have hr := G.cluster_mono (Set.subset_union_left : S⊆S∪ω) x hSv rw [G.cluster_eq_of_reachable hr] exact top_unique (hω ▸ G.modularMass_mono o (G.cluster_mono Set.subset_union_right v)) exact (not_lt_of_ge hle) hv lemma uniform_heavy_probability [Countable V] [Countable E] (hc : G.fullGraph.Connected) (hl : G.LocallyFinite) (hq : G.QuasiTransitive) (p : unitInterval) (hp : 0
(G.law p).real (G.heavyClusterEvent o x)) hS hne
refine ⟨(G.law p).real (G.heavyClusterEvent o s),hall s,?_⟩
intro x
obtain ⟨t,ht,φ,rfl⟩ := hcover x
simp only [measureReal_def,φ.heavyClusterEvent_measure G hc hl]
exact hmin t ht
lemma uniqueHeavy_twoPoint_lower [Countable V] [Countable E] (p : unitInterval)
(o : V) (hu : ∀ᵐ ω ∂G.law p, ω∈G.atMostOneHeavy o) (x y : V) :
(G.law p).real (G.heavyClusterEvent o x) * (G.law p).real (G.heavyClusterEvent o y) ≤
CriticalPercolation.Sharpness.twoPoint G p x y := by
apply (G.harris_heavyClusterEvent p o x y).trans
unfold CriticalPercolation.Sharpness.twoPoint
apply ENNReal.toReal_mono (measure_ne_top _ _)
apply measure_mono_ae
filter_upwards [hu] with ω hω
intro h
rw [CriticalPercolation.Sharpness.hit_singleton_eq]
exact hω x y h.1 h.2
theorem exponential_critical_heavy_null
(hc : G.fullGraph.Connected) (hl : G.LocallyFinite) (hq : G.QuasiTransitive)
(hpc : G.criticalProbability<1) (o v : V)
(γ : ℝ) (hγ : 0<γ) (N : ℕ)
(hgrowth : ∀ n≥N, ∀ x : V, γ*n≤Real.log ((G.vertexBall x n).ncard : ℝ)) :
G.law G.criticalProbability (G.heavyClusterEvent o v)=0 := by
let := G.countable_vertices hc hl
let := G.countable_bonds hc hl
by_contra hn
have hv : 0