Dynkin Identity for the Cutoff Eldan Process
ProvedFunctionalInequalities.KLS.BKL.Localization.IsEldanCutoff.dynkin_readableThis formalizes the Dynkin identity associated with Equation (67), p. 19, of Bizeul–Klartag–Lehec (arXiv:2610.05474v1), at the compact-support cutoff stage.
Let , let be an isotropic probability measure on with compact support, and let be a probability measure on a measurable sample space . Let be an -dimensional multidimensional Brownian motion whose coordinates are Brownian with respect to a filtration . Let be a cutoff on the parameter space and let be an IsEldanCutoff process. Assume:
- The filtration is decreasing from time toward nonpositive times: whenever .
- Every -null measurable set is measurable with respect to .
- The cutoff and process satisfy the stated cutoff Eldan process conditions.
- is a function on the parameter space, and .
Then is -integrable and its expectation satisfies
This is a reusable expectation identity for twice continuously differentiable observables of the cutoff localization process.
Formalization Note. The integrals are Lebesgue integrals over and ; the generator is the uncut generator, multiplied by the squared cutoff coefficient.
Original Lean declaration header
Within namespace FunctionalInequalities.KLS.BKL.Localization. Shown in its original module context. Proof omitted.
theorem IsEldanCutoff.dynkin (hiso : KLS.Isotropic μ) (hγ : IsCutoff γ)
(hℱ0 : ∀ t : ℝ, t ≤ 0 → ℱ 0 ≤ ℱ t)
(hnull : ∀ s : Set Ω, MeasurableSet s → P s = 0 → MeasurableSet[ℱ 0] s)
(h : IsEldanCutoff μ hc W ℱ hW γ p) {F : Param n → ℝ} (hF : ContDiff ℝ 2 F)
{T : ℝ} (hT : 0 ≤ T) :
Integrable (fun ω => F (p T ω)) P ∧
∫ ω, F (p T ω) ∂P - F 0 =
∫ ω, ∫ s in Set.Ioc (0 : ℝ) T, γ (p s ω) ^ 2 * generator μ hc F (p s ω) ∂volume ∂P
Module navigation
Module: KLS/BKL/Localization/Process/Basic.
Definition modules: KLS/BKL/Localization/Coefficients, LevyStochCalc/Brownian/Filtered, KLS/Isotropic, LevyStochCalc/Brownian/Multidim.
Supporting theorems: cutoffCoefficients_admissible, IsDiffusion.dynkin_transport.
Previous: IsEldanCutoff.continuous · Next: IsEldanCutoff.ae_inner_Q_eq_integral.
Source excerpt, lines 180–187 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_Localization_Process_Basic
open MeasureTheory ProbabilityTheory Filter Topology
variable {n : ℕ} (μ : MeasureTheory.ProbabilityMeasure (EuclideanSpace ℝ (Fin n)))
(hc : IsCompact (μ : MeasureTheory.Measure (EuclideanSpace ℝ (Fin n))).support)
variable {μ hc} {Ω : Type*} [MeasurableSpace Ω] {P : MeasureTheory.Measure Ω} [MeasureTheory.IsProbabilityMeasure P]
{W : LevyStochCalc.Brownian.Multidim.MultidimBrownianMotion P n} {ℱ : MeasureTheory.Filtration ℝ ‹MeasurableSpace Ω›}
{hW : ∀ k, LevyStochCalc.Brownian.IsBrownianFiltration (W.W k) ℱ} {γ : FunctionalInequalities.KLS.BKL.Localization.Param n → ℝ} {p : ℝ → Ω → FunctionalInequalities.KLS.BKL.Localization.Param n}
theorem FunctionalInequalities.KLS.BKL.Localization.IsEldanCutoff.dynkin_readable (hiso : KLS.Isotropic μ) (hγ : IsCutoff γ)
(hℱ0 : ∀ t : ℝ, t ≤ 0 → ℱ 0 ≤ ℱ t)
(hnull : ∀ s : Set Ω, MeasurableSet s → P s = 0 → MeasurableSet[ℱ 0] s)
(h : IsEldanCutoff μ hc W ℱ hW γ p) {F : Param n → ℝ} (hF : ContDiff ℝ 2 F)
{T : ℝ} (hT : 0 ≤ T) :
Integrable (fun ω => F (p T ω)) P ∧
∫ ω, F (p T ω) ∂P - F 0 =
∫ ω, ∫ s in Set.Ioc (0 : ℝ) T, γ (p s ω) ^ 2 * generator μ hc F (p s ω) ∂volume ∂P := by sorry