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Add lean source and binary files (part 120)
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import Mathlib
import OAI.Probability.CriticalPercolation.Modular.ClusterTransportSums
namespace OAI
section
noncomputable section
open Set MeasureTheory Filter
open scoped Classical BigOperators Topology
namespace CriticalPercolation.FiniteClusters
variable {V E : Type*} (G : BondGraph V E)
lemma transport_row_zero (r s : ℕ) (p : ℝ) (ω : Set E) (u : V) (e : E)
(he : e ∉ G.incidentEdges (G.vertexBall u r)) : transport G r s p ω u e = 0 := by
unfold transport weight
by_cases hs : small G r ω u
· have hi : e ∉ G.incidentEdges (G.cluster ω u) := by
rintro ⟨v,hv,hve⟩
exact he ⟨v,small_cluster_subset G hs hv,hve⟩
rw [ite_eq_right hi]
· simp only [hs,ite_false,zero_mul,ite_self]
lemma transport_column_zero (r s : ℕ) (p : ℝ) (ω : Set E) (u : V) (e : E)
(hu : u ∉ G.vertexBall (G.ends e).out.1 r ∪ G.vertexBall (G.ends e).out.2 r) :
transport G r s p ω u e = 0 := by
unfold transport weight
by_cases hs : small G r ω u
· have hi : e ∉ G.incidentEdges (G.cluster ω u) := by
intro he
have he' : u ∈ G.cluster ω (G.ends e).out.1 ∪ G.cluster ω (G.ends e).out.2 :=
Set.ext_iff.mp (incidentRoots G ω e) u |>.mp he
rcases he' with h | h
· exact hu (Or.inl (G.vertexBall_comm.mp (small_cluster_subset G hs h.symm)))
· exact hu (Or.inr (G.vertexBall_comm.mp (small_cluster_subset G hs h.symm)))
rw [ite_eq_right hi]
· simp only [hs,ite_false,zero_mul,ite_self]
lemma mass_le_one (s : ℕ) (ω : Set E) (v : V) : mass G s ω v ≤ 1 := by
by_cases hn : size G ω v = 0
· simp [mass,hn]
· have hp : (0:ℝ) < size G ω v := Nat.cast_pos.mpr (Nat.pos_of_ne_zero hn)
apply (div_le_one hp).mpr
exact (cappedMass_le_one _ _).trans (by exact_mod_cast Nat.one_le_iff_ne_zero.mpr hn)
lemma weight_le_one (r s : ℕ) (ω : Set E) (v : V) : weight G r s ω v ≤ 1 := by
unfold weight
split_ifs
· exact mass_le_one G s ω v
· norm_num
lemma transport_bound (r s : ℕ) {p : ℝ} (hp : p ∈ Ioo 0 1)
(ω : Set E) (u : V) (e : E) : |transport G r s p ω u e| ≤ 1/p := by
unfold transport
split_ifs
· rw [abs_mul,abs_of_nonneg (weight_nonneg G r s ω u)]
exact (mul_le_mul (weight_le_one G r s ω u) (coefficient_abs_le hp ω e)
(abs_nonneg _) (by norm_num)).trans_eq (one_mul _)
· simpa only [abs_zero] using div_nonneg (show (0:ℝ)≤1 by norm_num) hp.1.le
lemma transport_aut (φ : G.Aut) (r s : ℕ) (p : ℝ) (ω : Set E) (u : V) (e : E) :
transport G r s p (φ.edge '' ω) (φ.vertex u) (φ.edge e) = transport G r s p ω u e := by
simp only [transport,weight,incidentCluster_aut G φ,small_aut G φ,mass_aut G φ,coefficient_aut G φ]
variable [Countable V] [Countable E]
lemma measurable_weight (r s : ℕ) (u : V) : Measurable (fun ω => weight G r s ω u) :=
(measurable_mass G s u).ite (measurable_small G r u).setOf measurable_const
lemma measurable_transport (r s : ℕ) (p : ℝ) (u : V) (e : E) :
Measurable (fun ω => transport G r s p ω u e) :=
((measurable_weight G r s u).mul (measurable_coefficient p e)).ite
(measurable_incidentCluster G u e) measurable_const
lemma integrable_transport (r s : ℕ) (p : unitInterval) (hp : (p:ℝ) ∈ Ioo 0 1) (u : V) (e : E) :
Integrable (fun ω => transport G r s p ω u e) (G.law p) := by
apply Integrable.mono' (integrable_const (1/(p:ℝ))) (measurable_transport G r s p u e).aestronglyMeasurable
exact Eventually.of_forall (fun ω => transport_bound G r s hp ω u e)
def expectedTransport (r s : ℕ) (p : unitInterval) (u : V) (e : E) : ℝ :=
∫ ω, transport G r s p ω u e ∂G.law p
lemma expectedTransport_aut (φ : G.Aut) (r s : ℕ) (p : unitInterval) (u : V) (e : E) :
expectedTransport G r s p (φ.vertex u) (φ.edge e) = expectedTransport G r s p u e := by
unfold expectedTransport
conv_lhs => rw [← G.law_map_aut p φ]
rw [integral_map (BernoulliProduct.measurable_image_equiv φ.edge).aemeasurable
(measurable_transport G r s p (φ.vertex u) (φ.edge e)).aestronglyMeasurable]
apply integral_congr_ae
exact Eventually.of_forall (fun ω => transport_aut G φ r s p ω u e)
omit [Countable V] [Countable E] in
lemma expectedTransport_row_zero (r s : ℕ) (p : unitInterval) (u : V) (e : E)
(he : e ∉ G.incidentEdges (G.vertexBall u r)) : expectedTransport G r s p u e = 0 := by
unfold expectedTransport
simp only [transport_row_zero G r s p _ u e he,integral_zero]
omit [Countable V] [Countable E] in
lemma expectedTransport_column_zero (r s : ℕ) (p : unitInterval) (u : V) (e : E)
(hu : u ∉ G.vertexBall (G.ends e).out.1 r ∪ G.vertexBall (G.ends e).out.2 r) :
expectedTransport G r s p u e = 0 := by
unfold expectedTransport
simp only [transport_column_zero G r s p _ u e hu,integral_zero]
omit [Countable V] [Countable E] in
lemma expectedTransport_row_finite (hl : G.LocallyFinite) (r s : ℕ) (p : unitInterval) (u : V) :
(Function.support (expectedTransport G r s p u)).Finite := by
apply (G.finite_incident hl (G.vertexBall_finite hl u r)).subset
intro e he
by_contra hn
exact he (expectedTransport_row_zero G r s p u e hn)
omit [Countable V] [Countable E] in
lemma expectedTransport_column_finite (hl : G.LocallyFinite) (r s : ℕ) (p : unitInterval) (e : E) :
(Function.support (fun u => expectedTransport G r s p u e)).Finite := by
apply ((G.vertexBall_finite hl (G.ends e).out.1 r).union
(G.vertexBall_finite hl (G.ends e).out.2 r)).subset
intro u hu
by_contra hn
exact hu (expectedTransport_column_zero G r s p u e hn)
lemma expectedTransport_sum_out (hl : G.LocallyFinite) (r s : ℕ) (p : unitInterval)
(hp : (p:ℝ) ∈ Ioo 0 1) (u : V) :
(∑' e, expectedTransport G r s p u e) = ∫ ω, ∑' e, transport G r s p ω u e ∂G.law p := by
have hI := G.finite_incident hl (G.vertexBall_finite hl u r)
rw [tsum_eq_sum (s := hI.toFinset) (fun e he => expectedTransport_row_zero G r s p u e
(fun h => he (hI.mem_toFinset.mpr h)))]
unfold expectedTransport
rw [← integral_finsetSum _ (fun e _ => integrable_transport G r s p hp u e)]
apply integral_congr_ae
apply Eventually.of_forall
intro ω
exact (tsum_eq_sum (s := hI.toFinset) (fun e he => transport_row_zero G r s p ω u e
(fun h => he (hI.mem_toFinset.mpr h)))).symm
lemma expectedTransport_sum_in (hl : G.LocallyFinite) (r s : ℕ) (p : unitInterval)
(hp : (p:ℝ) ∈ Ioo 0 1) (e : E) :
(∑' u, expectedTransport G r s p u e) = ∫ ω, ∑' u, transport G r s p ω u e ∂G.law p := by
have hB := (G.vertexBall_finite hl (G.ends e).out.1 r).union
(G.vertexBall_finite hl (G.ends e).out.2 r)
rw [tsum_eq_sum (s := hB.toFinset) (fun u hu => expectedTransport_column_zero G r s p u e
(fun h => hu (hB.mem_toFinset.mpr h)))]
unfold expectedTransport
rw [← integral_finsetSum _ (fun u _ => integrable_transport G r s p hp u e)]
apply integral_congr_ae
apply Eventually.of_forall
intro ω
exact (tsum_eq_sum (s := hB.toFinset) (fun u hu => transport_column_zero G r s p ω u e
(fun h => hu (hB.mem_toFinset.mpr h)))).symm
end CriticalPercolation.FiniteClusters
end
end
end OAI