Energy Convergence of Clamped Diffusion Integrands
ProvedLevyStochCalc.Brownian.Ito.tendsto_energy_diffusionIntegrand_clamp_readableLet be continuous with bounded norm , let be measurable and square-integrable on , and let almost everywhere on the window. For a subsequence map satisfying , the clamped diffusion integrands converge in energy: for every coordinate and Brownian index ,
The conclusion is an ENNReal limit and includes the stated measurability and integrability assumptions.
Original Lean declaration header
Within namespace LevyStochCalc.Brownian.Ito. Shown in its original module context. Proof omitted.
theorem tendsto_energy_diffusionIntegrand_clamp
{f' : (Fin n → ℝ) → (Fin n → ℝ) →L[ℝ] ℝ} (hf'c : Continuous f')
{K₁ : ℝ} (hK₁0 : 0 ≤ K₁) (hf'bd : ∀ z, ‖f' z‖ ≤ K₁)
{H : Fin n → Fin d → Ω → ℝ → ℝ} (hm : ∀ p k, Measurable (Function.uncurry (H p k)))
{T : ℝ}
(hq : ∀ (p : Fin n) (k : Fin d), ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
(‖H p k ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤)
{X : ℝ → Ω → Fin n → ℝ} {Y : ℕ → ℝ → Ω → Fin n → ℝ}
(hYm : ∀ i, Measurable (Function.uncurry fun ω s => Y i s ω))
(hXm : Measurable (Function.uncurry fun (ω : Ω) (s : ℝ) => X s ω))
{ns : ℕ → ℕ} (hge : ∀ i, i ≤ ns i)
(hae : ∀ᵐ ω ∂P, ∀ᵐ s ∂(volume.restrict (Set.Icc (0 : ℝ) T)),
Filter.Tendsto (fun i => Y i s ω) Filter.atTop (𝓝 (X s ω)))
(p : Fin n) (k : Fin d) :
Filter.Tendsto (fun i : ℕ => ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
(‖coordDeriv f' p (Y i s ω) * clampCoeff H (ns i) p k ω s
- coordDeriv f' p (X s ω) * H p k ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P)
Filter.atTop (𝓝 0)
Module navigation
Module: LevyStochCalc/Ito/ItoFormulaUnboundedIntegrands.
Definition modules: LevyStochCalc/Brownian/CoordDerivative, LevyStochCalc/Ito/ItoFormulaUnboundedClamp.
Supporting theorems: tendsto_energy_clampAt_sub, tendsto_energy_coordDeriv_diff.
Previous: tendsto_energy_coordDeriv_diff.
Source excerpt, lines 287–304 · Frozen source 408915f.
import Definitions.Def_KLSModular_LevyStochCalc_Ito_ItoFormulaUnboundedIntegrands
/-
Copyright (c) 2026 Christian Garry. All rights reserved.
Released under Apache 2.0 license as described in the file LICENSE.
Authors: Christian Garry
-/
-- Vendored from https://github.com/cgarryZA/LevyStochCalc at commit 984dbf0b790031eac05d56fe5a84b65e15e1e932 (upstream path LevyStochCalc/Ito/ItoFormulaUnboundedIntegrands.lean; Apache-2.0; provenance in formalization/vendor/vendor-lock.json of the KLS repository)
open MeasureTheory ProbabilityTheory LevyStochCalc.Brownian.Multidim
open scoped NNReal ENNReal Topology
universe u
variable {Ω : Type u} [MeasurableSpace Ω] {P : MeasureTheory.Measure Ω} [MeasureTheory.IsProbabilityMeasure P]
{n d : ℕ} {ℱ : MeasureTheory.Filtration ℝ ‹MeasurableSpace Ω›}
theorem LevyStochCalc.Brownian.Ito.tendsto_energy_diffusionIntegrand_clamp_readable
{f' : (Fin n → ℝ) → (Fin n → ℝ) →L[ℝ] ℝ} (hf'c : Continuous f')
{K₁ : ℝ} (hK₁0 : 0 ≤ K₁) (hf'bd : ∀ z, ‖f' z‖ ≤ K₁)
{H : Fin n → Fin d → Ω → ℝ → ℝ} (hm : ∀ p k, Measurable (Function.uncurry (H p k)))
{T : ℝ}
(hq : ∀ (p : Fin n) (k : Fin d), ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
(‖H p k ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P < ⊤)
{X : ℝ → Ω → Fin n → ℝ} {Y : ℕ → ℝ → Ω → Fin n → ℝ}
(hYm : ∀ i, Measurable (Function.uncurry fun ω s => Y i s ω))
(hXm : Measurable (Function.uncurry fun (ω : Ω) (s : ℝ) => X s ω))
{ns : ℕ → ℕ} (hge : ∀ i, i ≤ ns i)
(hae : ∀ᵐ ω ∂P, ∀ᵐ s ∂(volume.restrict (Set.Icc (0 : ℝ) T)),
Filter.Tendsto (fun i => Y i s ω) Filter.atTop (𝓝 (X s ω)))
(p : Fin n) (k : Fin d) :
Filter.Tendsto (fun i : ℕ => ∫⁻ ω, ∫⁻ s in Set.Icc (0 : ℝ) T,
(‖coordDeriv f' p (Y i s ω) * clampCoeff H (ns i) p k ω s
- coordDeriv f' p (X s ω) * H p k ω s‖₊ : ℝ≥0∞) ^ 2 ∂volume ∂P)
Filter.atTop (𝓝 0) := by sorry