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Add lean source and binary files (part 120)
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import Mathlib
import OAI.Probability.CriticalPercolation.Clusters.PercolationTail
import OAI.Probability.CriticalPercolation.Gluing.MoveExit
import OAI.Probability.CriticalPercolation.Gluing.MoveWitness
import OAI.Probability.CriticalPercolation.Gluing.RelayMoves
import OAI.Probability.CriticalPercolation.GraphGeometry.GraphBalls
import OAI.Probability.CriticalPercolation.GraphGeometry.OpenGraphIso
import OAI.Probability.CriticalPercolation.ProductMeasure.LevelContactMeasurability
namespace OAI
section
section
noncomputable section
open Set Function MeasureTheory ProbabilityTheory Filter
open scoped Classical Topology ENNReal
namespace CriticalPercolation.BondGraph
variable {V E : Type*} (G : BondGraph V E)
lemma cluster_induced_subset (ω : Set E) (S : Set V) {a : V} (ha : a∈S) :
G.cluster (ω∩G.inducedEdges S) a⊆S := by
rintro b ⟨w⟩
exact G.walk_induced_support w.reverse ha b w.reverse.start_mem_support
lemma infinite_strip_unbounded (u v : V → ℝ) (W L : ℝ) (ω : Set E) (a : V)
(ha : |v a|≤W)
(hi : (G.cluster (ω∩G.inducedEdges {x | |v x|≤W}) a).Infinite)
(hbox : (G.cluster (ω∩G.inducedEdges {x | |u x|≤L ∧ |v x|≤W}) a).Finite) :
∃ b∈G.cluster (ω∩G.inducedEdges {x | |v x|≤W}) a, L < |u b| := by
by_contra hn
push Not at hn
apply hi
apply hbox.subset
rintro b ⟨w⟩
let w' := w.mapLe (G.openGraph_mono Set.inter_subset_left)
apply G.walk_reachable_induced _ ω w'
intro x hx
rw [SimpleGraph.Walk.support_mapLe_eq_support] at hx
have hr : x∈G.cluster (ω∩G.inducedEdges {x | |v x|≤W}) a := (w.takeUntil x hx).reachable
exact ⟨hn x hr,G.cluster_induced_subset ω _ ha hr⟩
lemma strip_cluster_gives_exit (u v : V → ℝ) (A : Set V) (W L D : ℝ)
(hD : 0≤D) (hu : ∀ ⦃x y⦄, G.fullGraph.Adj x y → |u x-u y|≤D)
(hA : ∀ a∈A, |u a|<L ∧ |v a|≤W)
{ω : Set E} (hi : ∃ a∈A, (G.cluster (ω∩G.inducedEdges {x | |v x|≤W}) a).Infinite)
(hbox : ∀ a∈A, (G.cluster (ω∩G.inducedEdges {x | |u x|≤L ∧ |v x|≤W}) a).Finite) :
ω∈G.axisExit u v A L W D true∪G.axisExit u v A L W D false := by
obtain ⟨a,ha,hi⟩ := hi
obtain ⟨b,⟨w⟩,hb⟩ := G.infinite_strip_unbounded u v W L ω a (hA a ha).2 hi (hbox a ha)
apply G.axisExit_of_crossing u v A L W D hD hu ha (hA a ha).1
(w.mapLe (G.openGraph_mono Set.inter_subset_left)) hb.le
intro x hx
rw [SimpleGraph.Walk.support_mapLe_eq_support] at hx
exact G.cluster_induced_subset ω _ (hA a ha).2 (w.takeUntil x hx).reachable
def stripPercolates (v : V → ℝ) (W : ℝ) : Set (Set E) :=
{ω | ω∩G.inducedEdges {x | |v x|≤W}∈G.percolates}
def someStripPercolates (v : V → ℝ) : Set (Set E) :=
⋃ n : ℕ, G.stripPercolates v n
lemma stripPercolates_measurable [Countable V] [Countable E] (v : V → ℝ) (W : ℝ) :
MeasurableSet (G.stripPercolates v W) := by
exact G.measurableSet_percolates.preimage ((BernoulliProduct.measurable_inter_block _).mono (BernoulliProduct.blockSigma_le _) le_rfl)
lemma someStripPercolates_measurable [Countable V] [Countable E] (v : V → ℝ) :
MeasurableSet (G.someStripPercolates v) :=
MeasurableSet.iUnion (fun n => G.stripPercolates_measurable v n)
lemma stripPercolates_diff_iff (v : V → ℝ) (W : ℝ) (ω S : Set E) (hS : S.Finite) :
ω\S∈G.stripPercolates v W ↔ ω∈G.stripPercolates v W := by
change (ω\S)∩G.inducedEdges {x | |v x|≤W}∈G.percolates ↔ _
have heq : (ω\S)∩G.inducedEdges {x | |v x|≤W}=
(ω∩G.inducedEdges {x | |v x|≤W})\S := by ext e; simp only [Set.mem_inter_iff,Set.mem_sdiff]; tauto
rw [heq]
exact G.percolates_diff_finite_iff _ S hS
lemma someStripPercolates_zero_one [Countable V] [Countable E]
(v : V → ℝ) (q : E → unitInterval) :
BernoulliProduct.law q (G.someStripPercolates v)=0 ∨
BernoulliProduct.law q (G.someStripPercolates v)=1 := by
apply BernoulliProduct.zero_one_of_finite_erasure_invariant q _ (G.someStripPercolates_measurable v)
intro S hS ω
have heq : BernoulliProduct.forceOn S ∅ ω=ω\S := by
ext e
change (if e∈S then False else e∈ω) ↔ e∈ω ∧ e∉S
split_ifs <;> tauto
rw [heq]
simp only [someStripPercolates,Set.mem_iUnion]
exact exists_congr (fun n => G.stripPercolates_diff_iff v n ω S hS)
def seedStripInfinite (v : V → ℝ) (A : Set V) (W : ℝ) : Set (Set E) :=
{ω | ∃ a∈A, (G.cluster (ω∩G.inducedEdges {x | |v x|≤W}) a).Infinite}
lemma seedStripInfinite_measurable [Countable V] [Countable E]
(v : V → ℝ) (A : Set V) (W : ℝ) : MeasurableSet (G.seedStripInfinite v A W) := by
have hm : Measurable (fun ω : Set E => ω∩G.inducedEdges {x | |v x|≤W}) :=
(BernoulliProduct.measurable_inter_block _).mono (BernoulliProduct.blockSigma_le _) le_rfl
have heq : G.seedStripInfinite v A W=⋃ a∈A,
(fun ω : Set E => ω∩G.inducedEdges {x | |v x|≤W}) ⁻¹' G.infiniteEvent a := by
ext ω
simp only [seedStripInfinite,infiniteEvent,Set.mem_ofPred_eq,Set.mem_iUnion,
Set.mem_preimage,exists_prop]
rw [heq]
exact MeasurableSet.biUnion (Set.to_countable _) fun a _ =>
(G.measurableSet_infiniteEvent a).preimage hm
lemma seedStripInfinite_mono (v : V → ℝ) {A B : Set V} (hAB : A⊆B)
{W U : ℝ} (hWU : W≤U) : G.seedStripInfinite v A W⊆G.seedStripInfinite v B U := by
rintro ω ⟨a,ha,hi⟩
exact ⟨a,hAB ha,hi.mono (G.cluster_mono
(Set.inter_subset_inter_right _ (G.inducedEdges_mono (fun _ hx => hx.trans hWU))) a)⟩
lemma seedStripInfinite_exhaustion (hc : G.fullGraph.Connected) (v : V → ℝ) (o : V) :
(⋃ n : ℕ, G.seedStripInfinite v (G.vertexBall o n) n)=G.someStripPercolates v := by
ext ω
constructor
· intro h
obtain ⟨n,a,_ha,hi⟩ := Set.mem_iUnion.mp h
exact Set.mem_iUnion.mpr ⟨n,a,hi⟩
· intro h
obtain ⟨n,a,hi⟩ := Set.mem_iUnion.mp h
obtain ⟨r,hr⟩ := G.reachable_mem_vertexBall (hc o a)
refine Set.mem_iUnion.mpr ⟨max n r,?_⟩
exact G.seedStripInfinite_mono v (G.vertexBall_mono o (le_max_right n r))
(by exact_mod_cast le_max_left n r) ⟨a,hr,hi⟩
theorem exists_seed_strip_probability [Countable V] [Countable E]
(hc : G.fullGraph.Connected) (hl : G.LocallyFinite)
(v : V → ℝ) (o : V) (q : E → unitInterval)
(hpos : 0<BernoulliProduct.law q (G.someStripPercolates v))
(eps : ℝ) (heps : 0<eps) :
∃ m : ℕ, ∃ W : ℝ, 0≤W ∧
(∀ a∈G.vertexBall o m, |v a|≤W) ∧
1-eps<(BernoulliProduct.law q).real (G.seedStripInfinite v (G.vertexBall o m) W) := by
have hone := (G.someStripPercolates_zero_one v q).resolve_left (ne_of_gt hpos)
let A := fun n : ℕ => G.seedStripInfinite v (G.vertexBall o n) n
have hmono : Monotone A := fun n r hn => G.seedStripInfinite_mono v
(G.vertexBall_mono o hn) (Nat.cast_le.mpr hn)
have ht := tendsto_measure_iUnion_atTop (μ := BernoulliProduct.law q) hmono
have heq : (⋃ n, A n)=G.someStripPercolates v := G.seedStripInfinite_exhaustion hc v o
rw [heq,hone] at ht
have hreal := (ENNReal.tendsto_toReal (by simp : (1 : ℝ≥0∞)≠⊤)).comp ht
have hnear : ∀ᶠ n in atTop, 1-eps<(BernoulliProduct.law q).real (A n) :=
hreal.eventually (lt_mem_nhds (by simpa using heps : 1-eps<ENNReal.toReal 1))
obtain ⟨m,hm⟩ := hnear.exists
obtain ⟨M,hM⟩ := ((G.vertexBall_finite hl o m).image (fun a => |v a|)).bddAbove
refine ⟨m,max (m : ℝ) M,?_,?_,?_⟩
· exact (Nat.cast_nonneg m).trans (le_max_left _ _)
· intro a ha
exact (hM (Set.mem_image_of_mem _ ha)).trans (le_max_right _ _)
· apply hm.trans_le
apply ENNReal.toReal_mono (measure_ne_top _ _)
exact measure_mono (G.seedStripInfinite_mono v (Set.Subset.refl _) (le_max_left _ _))
end CriticalPercolation.BondGraph
end
end
end
end OAI