Pathwise Convergence of Clamped Quadratic Variation
ProvedLevyStochCalc.Brownian.Ito.ae_tendsto_quadVar_clamp_readableLet f″ be continuous and bounded by K₂ ≥ 0, let H be coordinatewise measurable with the stated finite ENNReal square-energy conditions, and let Y_i be measurable paths converging almost everywhere on [0,T] to X with i ≤ ns(i). Then for P-almost every ω and every p, q : Fin n,
converges to
This is the pathwise quadratic-variation convergence component of the clamped-coefficient approximation.
Original Lean declaration header
Within namespace LevyStochCalc.Brownian.Ito. Shown in its original module context. Proof omitted.
theorem ae_tendsto_quadVar_clamp
{f'' : (Fin n → ℝ) → (Fin n → ℝ) →L[ℝ] (Fin n → ℝ) →L[ℝ] ℝ} (hf''c : Continuous f'')
{K₂ : ℝ} (hK₂0 : 0 ≤ K₂) (hf''bd : ∀ z, ‖f'' z‖ ≤ K₂)
{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))
{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))) :
∀ᵐ ω ∂P, ∀ p q : Fin n, Filter.Tendsto (fun i => ∫ s in Set.Ioc (0 : ℝ) T,
coordDeriv₂ f'' p q (Y i s ω)
* ∑ k : Fin d, clampCoeff H (ns i) p k ω s * clampCoeff H (ns i) q k ω s ∂volume)
Filter.atTop
(𝓝 (∫ s in Set.Ioc (0 : ℝ) T,
coordDeriv₂ f'' p q (X s ω) * ∑ k : Fin d, H p k ω s * H q k ω s ∂volume))
Module navigation
Module: LevyStochCalc/Ito/ItoFormulaUnboundedIntegrands.
Definition modules: LevyStochCalc/Brownian/CoordDerivative, LevyStochCalc/Ito/ItoFormulaUnboundedClamp.
Previous: ae_tendsto_drift_clamp · Next: tendsto_energy_coordDeriv_diff.
Source excerpt, lines 102–119 · 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›}
omit [IsProbabilityMeasure P]
theorem LevyStochCalc.Brownian.Ito.ae_tendsto_quadVar_clamp_readable
{f'' : (Fin n → ℝ) → (Fin n → ℝ) →L[ℝ] (Fin n → ℝ) →L[ℝ] ℝ} (hf''c : Continuous f'')
{K₂ : ℝ} (hK₂0 : 0 ≤ K₂) (hf''bd : ∀ z, ‖f'' z‖ ≤ K₂)
{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))
{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))) :
∀ᵐ ω ∂P, ∀ p q : Fin n, Filter.Tendsto (fun i => ∫ s in Set.Ioc (0 : ℝ) T,
coordDeriv₂ f'' p q (Y i s ω)
* ∑ k : Fin d, clampCoeff H (ns i) p k ω s * clampCoeff H (ns i) q k ω s ∂volume)
Filter.atTop
(𝓝 (∫ s in Set.Ioc (0 : ℝ) T,
coordDeriv₂ f'' p q (X s ω) * ∑ k : Fin d, H p k ω s * H q k ω s ∂volume)) := by sorry