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Add lean source and binary files (part 120)
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import Mathlib
import OAI.Probability.CriticalPercolation.Modular.PeakReturn
import OAI.Probability.CriticalPercolation.Modular.PeakRatioTransport
import OAI.Probability.CriticalPercolation.Modular.MarkedTiltedTransport
namespace OAI
section
noncomputable section
open Set MeasureTheory Filter
open scoped Classical ENNReal Topology BigOperators
namespace CriticalPercolation.BondGraph
open BernoulliProduct
variable {V E : Type*} [Countable V] [Countable E] (G : BondGraph V E)
omit [Countable V] [Countable E] in
lemma clusterPeakRatio_aut (φ : G.Aut) (ω : Set E) (x : V) :
G.clusterPeakRatio (φ.edge '' ω) (φ.vertex x) = G.clusterPeakRatio ω x := by
unfold clusterPeakRatio
rw [←φ.vertex.tsum_eq]
simp only [G.peakRatioTransport_aut]
def heavyFlag (p : unitInterval) (u : E → ℝ) (x : V) : Prop :=
G.modularMass x (G.cluster (atParameter p u) x) = ∞
lemma measurable_heavyFlag (p : unitInterval) (x : V) :
Measurable (fun u => G.heavyFlag p u x) :=
((G.measurable_modularClusterMass x x).comp (measurable_atParameter p)).eq_const ∞
omit [Countable V] [Countable E] in
lemma heavyFlag_iff_of_reachable (hc : G.fullGraph.Connected) (hl : G.LocallyFinite)
{p q : unitInterval} (hqp : q≤p) (u : E → ℝ) {x y : V}
(hxy : (G.openGraph (atParameter q u)).Reachable x y) :
G.heavyFlag p u x ↔ G.heavyFlag p u y := by
have hr := hxy.mono (G.openGraph_mono (atParameter_mono u hqp))
unfold heavyFlag
rw [G.cluster_eq_of_reachable hr,G.modularMass_eq_top_change_base hc hl x y]
omit [Countable V] [Countable E] in
lemma heavyFlag_aut (φ : G.Aut) (p : unitInterval) (u : E → ℝ) (x : V) :
G.heavyFlag p (reindexMarks φ.edge u) (φ.vertex x) ↔ G.heavyFlag p u x := by
unfold heavyFlag
rw [atParameter_reindex,←φ.cluster_image,φ.modularMass_image]
def heavyRestrictedPeakTransport (p q : unitInterval) (u : E → ℝ) (x y : V) : ℝ≥0∞ :=
if G.heavyFlag p u x then G.peakRatioTransport (atParameter q u) x y else 0
lemma measurable_heavyRestrictedPeakTransport (p q : unitInterval) (x y : V) :
Measurable (fun u => G.heavyRestrictedPeakTransport p q u x y) :=
((G.measurable_peakRatioTransport x y).comp (measurable_atParameter q)).ite
(G.measurable_heavyFlag p x).setOf measurable_const
omit [Countable V] [Countable E] in
lemma heavyRestrictedPeakTransport_aut (p q : unitInterval) (φ : G.Aut)
(u : E → ℝ) (x y : V) :
G.heavyRestrictedPeakTransport p q (reindexMarks φ.edge u) (φ.vertex x) (φ.vertex y) =
G.heavyRestrictedPeakTransport p q u x y := by
simp only [heavyRestrictedPeakTransport,G.heavyFlag_aut,atParameter_reindex,G.peakRatioTransport_aut]
omit [Countable V] [Countable E] in
lemma heavyRestrictedPeakTransport_out (p q : unitInterval) (u : E → ℝ) (x : V) :
(∑' y, G.heavyRestrictedPeakTransport p q u x y) =
if G.heavyFlag p u x then G.clusterPeakRatio (atParameter q u) x else 0 := by
by_cases h : G.heavyFlag p u x <;> simp only [heavyRestrictedPeakTransport,h,ite_true,ite_false,
clusterPeakRatio,tsum_zero]
omit [Countable V] [Countable E] in
lemma heavyRestrictedPeakTransport_swap (hc : G.fullGraph.Connected) (hl : G.LocallyFinite)
{p q : unitInterval} (hqp : q≤p) (u : E → ℝ) (x y : V) :
G.heavyRestrictedPeakTransport p q u x y =
if G.heavyFlag p u y then G.peakRatioTransport (atParameter q u) x y else 0 := by
by_cases hy : y∈G.clusterPeaks (atParameter q u) x
· simp only [heavyRestrictedPeakTransport,G.heavyFlag_iff_of_reachable hc hl hqp u hy.1]
· simp only [heavyRestrictedPeakTransport,peakRatioTransport,ite_eq_right hy,ite_self]
lemma heavyRestrictedPeakTransport_incoming_ae
(hc : G.fullGraph.Connected) (hl : G.LocallyFinite) (hq : G.QuasiTransitive)
{p q : unitInterval} (hqp : q≤p) (y : V) :
∀ᵐ u ∂markLaw, (∑' x, G.heavyRestrictedPeakTransport p q u x y * G.stabilizerWeight y x) =
if G.heavyFlag p u y then G.peakReturn (atParameter q u) y else 0 := by
have ha := G.marks_ae_of_law_ae q _ (G.peakRatioTransport_incoming_ae hc hl hq q y)
filter_upwards [ha] with u hu
simp only [G.heavyRestrictedPeakTransport_swap hc hl hqp]
by_cases h : G.heavyFlag p u y
· simpa only [h,ite_true] using hu
· simp only [h,ite_false,zero_mul,tsum_zero]
lemma expected_heavy_clusterPeakRatio
(hc : G.fullGraph.Connected) (hl : G.LocallyFinite) (hq : G.QuasiTransitive)
{p q : unitInterval} (hqp : q≤p) :
(∑ x ∈ (G.orbitRepresentatives hq).roots,
∫⁻ u, if G.heavyFlag p u x then G.clusterPeakRatio (atParameter q u) x else 0 ∂markLaw) =
∑ x ∈ (G.orbitRepresentatives hq).roots,
∫⁻ u, if G.heavyFlag p u x then G.peakReturn (atParameter q u) x else 0 ∂markLaw := by
simp_rw [←G.heavyRestrictedPeakTransport_out]
rw [OrbitRepresentatives.mark_tilted_transport G (G.orbitRepresentatives hq) hc hl
(G.heavyRestrictedPeakTransport p q) (G.measurable_heavyRestrictedPeakTransport p q)
(G.heavyRestrictedPeakTransport_aut p q)]
apply Finset.sum_congr rfl
intro x _
exact lintegral_congr_ae (G.heavyRestrictedPeakTransport_incoming_ae hc hl hq hqp x)
lemma tendsto_expected_heavy_peakReturn
(hc : G.fullGraph.Connected) (hl : G.LocallyFinite) (hq : G.QuasiTransitive)
(p : unitInterval) (q : ℕ → unitInterval) (hmono : Monotone q)
(hqp : ∀ n, q n ≤ p) (hlim : Tendsto q atTop (𝓝 p)) (x : V) :
Tendsto (fun n => ∫⁻ u, if G.heavyFlag p u x then G.peakReturn (atParameter (q n) u) x else 0 ∂markLaw)
atTop (𝓝 0) := by
have hmeas (n : ℕ) : Measurable (fun u =>
if G.heavyFlag p u x then G.peakReturn (atParameter (q n) u) x else 0) :=
((G.measurable_peakReturn x).comp (measurable_atParameter (q n))).ite
(G.measurable_heavyFlag p x).setOf measurable_const
have hbound (n : ℕ) : ∀ᵐ u ∂markLaw,
(if G.heavyFlag p u x then G.peakReturn (atParameter (q n) u) x else 0) ≤ (1:ℝ≥0∞) := by
exact Eventually.of_forall (fun u => by split_ifs; exact G.peakReturn_le_one _ x; exact zero_le)
have hae := G.marks_ae_of_law_ae p _ (G.no_heavy_finite_peaks_ae hc hl hq p)
have ht : ∀ᵐ u ∂markLaw, Tendsto (fun n =>
if G.heavyFlag p u x then G.peakReturn (atParameter (q n) u) x else 0) atTop (𝓝 (0:ℝ≥0∞)) := by
filter_upwards [hae] with u hu
by_cases h : G.heavyFlag p u x
· simp only [h,ite_true]
apply G.tendsto_peakReturn_of_exhaustion _ _
((atParameter_mono u).comp hmono) (atParameter_iUnion p q hqp hlim u) x
by_cases hp : G.clusterPeak (atParameter p u) x
· right
intro hf
exact hu x hf.toFinset.card ⟨h,⟨hf.toFinset,le_rfl,fun _ hy => hf.mem_toFinset.mpr hy⟩,hp⟩
· exact Or.inl hp
· simp only [h,ite_false]
exact tendsto_const_nhds
simpa only [lintegral_zero] using
tendsto_lintegral_of_dominated_convergence (μ := (markLaw : Measure (E → ℝ)))
(fun _ => (1:ℝ≥0∞)) hmeas hbound (by simp) ht
theorem tendsto_sum_expected_heavy_clusterPeakRatio
(hc : G.fullGraph.Connected) (hl : G.LocallyFinite) (hq : G.QuasiTransitive)
(p : unitInterval) (q : ℕ → unitInterval) (hmono : Monotone q)
(hqp : ∀ n, q n ≤ p) (hlim : Tendsto q atTop (𝓝 p)) :
Tendsto (fun n => ∑ x ∈ (G.orbitRepresentatives hq).roots,
∫⁻ u, if G.heavyFlag p u x then G.clusterPeakRatio (atParameter (q n) u) x else 0 ∂markLaw)
atTop (𝓝 0) := by
simp_rw [G.expected_heavy_clusterPeakRatio hc hl hq (hqp _)]
have ht := tendsto_finsetSum (G.orbitRepresentatives hq).roots
(fun x _ => G.tendsto_expected_heavy_peakReturn hc hl hq p q hmono hqp hlim x)
simpa only [Finset.sum_const_zero] using ht
end CriticalPercolation.BondGraph
end
end
end OAI