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Add lean source and binary files (part 120)
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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<H.law H.criticalProbability H.percolates := by
let S : ℕ → Set V := fun k => {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