openAI-math-dataset / lean /OAI /Probability /CriticalPercolation /Modular /ClusterTransportLimit.lean
Download lean/OAI/Probability/CriticalPercolation/Modular/ClusterTransportLimit.lean from roseking/openAI-math-dataset: direct link, hf CLI and curl.
- Browser
- Download file 3.94 kB
-
https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/CriticalPercolation/Modular/ClusterTransportLimit.lean
- Command line
-
hf download hf://datasets/roseking/openAI-math-dataset/lean/OAI/Probability/CriticalPercolation/Modular/ClusterTransportLimit.lean
-
curl -L -o ClusterTransportLimit.lean https://huggingface.co/datasets/roseking/openAI-math-dataset/resolve/main/lean/OAI/Probability/CriticalPercolation/Modular/ClusterTransportLimit.lean
3.94 kB
| import Mathlib | |
| import OAI.Probability.CriticalPercolation.Modular.ClusterMassRestriction | |
| import OAI.Probability.CriticalPercolation.Modular.ClusterTransportFinite | |
| namespace OAI | |
| section | |
| noncomputable section | |
| open Set MeasureTheory Filter | |
| open scoped Classical BigOperators Topology | |
| namespace CriticalPercolation.FiniteClusters | |
| variable {V E : Type*} [Countable V] [Countable E] (G : BondGraph V E) | |
| omit [Countable V] [Countable E] in | |
| lemma transport_sum_out_le (r s : ℕ) (p : ℝ) (ω : Set E) (u : V) : | |
| (∑' e, transport G r s p ω u e) ≤ rootAbsolute G s p ω u := by | |
| rw [transport_sum_out] | |
| split_ifs | |
| · exact (le_abs_self _).trans_eq (abs_rootDiscrepancy G s p ω u) | |
| · exact rootAbsolute_nonneg G s p ω u | |
| omit [Countable V] [Countable E] in | |
| lemma transport_sum_out_abs (r s : ℕ) (p : ℝ) (ω : Set E) (u : V) : | |
| |∑' e, transport G r s p ω u e| ≤ rootAbsolute G s p ω u := by | |
| rw [transport_sum_out] | |
| split_ifs | |
| · exact (abs_rootDiscrepancy G s p ω u).le | |
| · exact (abs_zero).le.trans (rootAbsolute_nonneg G s p ω u) | |
| lemma integrable_transport_out (hl : G.LocallyFinite) (D : ℕ) | |
| (hD : ∀ u, (G.incidentEdges {u}).ncard ≤ D) (r s : ℕ) (p : unitInterval) | |
| (hp : (p:ℝ) ∈ Ioo 0 1) (u : V) : | |
| Integrable (fun ω => ∑' e, transport G r s p ω u e) (G.law p) := by | |
| apply Integrable.mono' (integrable_const ((D:ℝ)/(p:ℝ))) | |
| (Measurable.tsum (fun e => measurable_transport G r s p u e)).aestronglyMeasurable | |
| exact Eventually.of_forall (fun ω => (transport_sum_out_abs G r s p ω u).trans | |
| (rootAbsolute_bound G hl D hD s hp ω u)) | |
| lemma expectedTransport_out_bound (hl : G.LocallyFinite) (D : ℕ) (hDpos : 1≤D) | |
| (hD : ∀ u, (G.incidentEdges {u}).ncard ≤ D) (r k : ℕ) (p : unitInterval) | |
| (hp : (p:ℝ) ∈ Ioo 0 1) (hpc : p < G.criticalProbability) (u : V) : | |
| (∑' e, expectedTransport G r (4^k) p u e) ≤ (D:ℝ)/p*(6/(2:ℝ)^k) := by | |
| rw [expectedTransport_sum_out G hl r (4^k) p hp u] | |
| refine (integral_mono_ae (integrable_transport_out G hl D hD r (4^k) p hp u) ?_ | |
| (Eventually.of_forall (fun ω => transport_sum_out_le G r (4^k) p ω u))).trans | |
| (subcritical_rootAbsolute_bound G hl D hDpos hD p hp hpc k u) | |
| apply Integrable.mono' (integrable_const ((D:ℝ)/(p:ℝ))) | |
| (measurable_rootAbsolute G (4^k) p u).aestronglyMeasurable | |
| exact Eventually.of_forall (fun ω => by | |
| rw [Real.norm_eq_abs,abs_of_nonneg (rootAbsolute_nonneg G (4^k) p ω u)] | |
| exact rootAbsolute_bound G hl D hD (4^k) hp ω u) | |
| omit [Countable V] [Countable E] in | |
| lemma eventually_truncatedEdgeMass (hc : G.fullGraph.Connected) {ω : Set E} {e : E} | |
| (hx : (G.cluster ω (G.ends e).out.1).Finite) | |
| (hy : (G.cluster ω (G.ends e).out.2).Finite) (s : ℕ) : | |
| ∀ᶠ r in atTop, truncatedEdgeMass G r s ω e = edgeMass G s ω e := by | |
| filter_upwards [eventually_small G hc hx,eventually_small G hc hy] with r hr hs | |
| simp only [truncatedEdgeMass,clusterWeight,hr,hs,ite_true,edgeMass] | |
| lemma expectedTransport_in_tendsto (hc : G.fullGraph.Connected) (hl : G.LocallyFinite) | |
| (s : ℕ) (p : unitInterval) (hp : (p:ℝ) ∈ Ioo 0 1) (hpc : p < G.criticalProbability) (e : E) : | |
| Tendsto (fun r => ∑' u, expectedTransport G r s p u e) atTop | |
| (𝓝 (∫ ω, edgeDiscrepancy G s p ω e ∂G.law p)) := by | |
| simp only [expectedTransport_sum_in G hl _ s p hp e] | |
| apply tendsto_integral_of_dominated_convergence (fun _ => 2/(p:ℝ)) | |
| · intro r | |
| exact (Measurable.tsum (fun u => measurable_transport G r s p u e)).aestronglyMeasurable | |
| · exact integrable_const _ | |
| · intro r | |
| exact Eventually.of_forall (fun ω => transport_sum_in_bound G hl r s hp ω e) | |
| · filter_upwards [ae_finite_clusters G p hpc] with ω hω | |
| apply tendsto_const_nhds.congr' | |
| filter_upwards [eventually_truncatedEdgeMass G hc (hω _) (hω _) s] with r hr | |
| rw [transport_sum_in G hl,hr] | |
| rfl | |
| end CriticalPercolation.FiniteClusters | |
| end | |
| end | |
| end OAI | |