openAI-math-dataset / lean /OAI /Probability /CriticalPercolation /Modular /ExpectedIncidenceTransport.lean
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Add lean source and binary files (part 120)
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import Mathlib
import OAI.Probability.CriticalPercolation.Model
import OAI.Probability.CriticalPercolation.Modular.NormalizedIncidenceTransport
namespace OAI
section
noncomputable section
open Set MeasureTheory Filter
open scoped Classical ENNReal BigOperators
namespace CriticalPercolation
lemma lintegral_ne_top_of_uniform_bound {α : Type*} [MeasurableSpace α]
(μ : Measure α) [IsFiniteMeasure μ] (f : α → ℝ≥0∞) (C : ℝ≥0∞) (hC : C≠∞)
(hb : ∀ a, f a≤C) : (∫⁻ a, f a ∂μ)≠∞ := by
apply ne_top_of_le_ne_top (ENNReal.mul_ne_top hC (measure_ne_top μ Set.univ))
simpa only [lintegral_const] using lintegral_mono hb
lemma sum_integral_toReal {α ι : Type*} [MeasurableSpace α] (μ : Measure α) [IsFiniteMeasure μ]
(S : Finset ι) (F : ι → α → ℝ≥0∞) (hm : ∀ i∈S, Measurable (F i))
(C : ι → ℝ≥0∞) (hC : ∀ i∈S, C i≠∞) (hb : ∀ i∈S, ∀ a, F i a≤C i) :
(∑ i∈S, ∫ a, (F i a).toReal ∂μ)=(∑ i∈S, ∫⁻ a, F i a ∂μ).toReal := by
rw [ENNReal.toReal_sum]
· apply Finset.sum_congr rfl
intro i hi
exact integral_toReal (hm i hi).aemeasurable (Eventually.of_forall (fun a =>
lt_top_iff_ne_top.mpr (ne_top_of_le_ne_top (hC i hi) (hb i hi a))))
· intro i hi
exact lintegral_ne_top_of_uniform_bound μ (F i) (C i) (hC i hi) (hb i hi)
namespace BondGraph
variable {V E : Type*} (G : BondGraph V E)
def selectedIncidenceReturn (hl : G.LocallyFinite) (H : Set E → E → ℝ≥0∞)
(ω : Set E) (y : V) : ℝ≥0∞ :=
∑ e∈(hl y).toFinset, H ω e*G.incidentClusterCount ω e
lemma selectedIncidenceReturn_eq_tsum (hl : G.LocallyFinite) (H : Set E → E → ℝ≥0∞)
(ω : Set E) (y : V) : G.selectedIncidenceReturn hl H ω y =
∑' e, if y∈G.ends e then H ω e*G.incidentClusterCount ω e else 0 := by
rw [tsum_eq_sum (s := (hl y).toFinset) (fun e he => ite_eq_right (by simpa using he))]
apply Finset.sum_congr rfl
intro e he
exact (ite_eq_left ((hl y).mem_toFinset.mp he)).symm
lemma measurable_selectedIncidenceReturn [Countable V] [Countable E]
(hl : G.LocallyFinite) (H : Set E → E → ℝ≥0∞) (hm : ∀ e, Measurable (fun ω => H ω e)) (y : V) :
Measurable (fun ω => G.selectedIncidenceReturn hl H ω y) :=
Finset.measurable_sum _ (fun e _ => (hm e).mul (G.measurable_incidentClusterCount e))
lemma selectedIncidenceReturn_le (hc : G.fullGraph.Connected) (hl : G.LocallyFinite)
(H : Set E → E → ℝ≥0∞) (hH : ∀ ω e, H ω e≤1) (ω : Set E) (y : V) :
G.selectedIncidenceReturn hl H ω y≤(hl y).toFinset.card*2 := by
unfold selectedIncidenceReturn
calc _ ≤ ∑ _e∈(hl y).toFinset, (2:ℝ≥0∞) := by
apply Finset.sum_le_sum
intro e _
exact (mul_le_mul' (hH ω e) (G.incidentClusterCount_le_two hc hl ω e)).trans_eq (one_mul 2)
_ = _ := by simp
lemma selectedIncidenceReturn_toReal (hc : G.fullGraph.Connected) (hl : G.LocallyFinite)
(H : Set E → E → ℝ≥0∞) (hH : ∀ ω e, H ω e≤1) (ω : Set E) (y : V) :
(G.selectedIncidenceReturn hl H ω y).toReal=
∑ e∈(hl y).toFinset, (H ω e).toReal*(G.incidentClusterCount ω e).toReal := by
unfold selectedIncidenceReturn
rw [ENNReal.toReal_sum]
· simp only [ENNReal.toReal_mul]
· intro e _
exact ENNReal.mul_ne_top (ne_top_of_le_ne_top ENNReal.one_ne_top (hH ω e))
(ne_top_of_le_ne_top (by norm_num : (2:ℝ≥0∞)≠∞) (G.incidentClusterCount_le_two hc hl ω e))
lemma expected_selectedIncidence_real [Countable V] [Countable E]
(hc : G.fullGraph.Connected) (hl : G.LocallyFinite) (hq : G.QuasiTransitive)
(D K : ℕ) (hD : ∀ v, (G.incidentEdges {v}).ncard≤D)
(hK : ∀ v, (G.vertexBall v 1).ncard≤K)
(p : unitInterval) (H : Set E → E → ℝ≥0∞)
(hm : ∀ e, Measurable (fun ω => H ω e)) (hH : ∀ ω e, H ω e≤1)
(ha : ∀ (φ : G.Aut) ω e, H (φ.edge '' ω) (φ.edge e)=H ω e) :
(∑ x∈(G.orbitRepresentatives hq).roots, ∫ ω, (G.normalizedSelectedIncidence H ω x).toReal ∂G.law p)=
∑ y∈(G.orbitRepresentatives hq).roots, ∫ ω, (G.selectedIncidenceReturn hl H ω y).toReal ∂G.law p := by
rw [sum_integral_toReal (G.law p) _ _ (fun x _ => G.measurable_normalizedSelectedIncidence H hm x)
(fun _ => (D*(2*K) : ℕ)) (fun _ _ => ENNReal.natCast_ne_top _)
(fun x _ ω => G.normalizedSelectedIncidence_le hc hl D K hD hK H hH ω x),
sum_integral_toReal (G.law p) _ _ (fun y _ => G.measurable_selectedIncidenceReturn hl H hm y)
(fun y => (hl y).toFinset.card*2) (fun _ _ => ENNReal.mul_ne_top (ENNReal.natCast_ne_top _) (by norm_num))
(fun y _ ω => G.selectedIncidenceReturn_le hc hl H hH ω y)]
congr 1
simp_rw [G.selectedIncidenceReturn_eq_tsum]
exact G.expected_normalizedSelectedIncidence hc hl hq p H hm ha
end BondGraph
end CriticalPercolation
end
end
end OAI