Existence Of The Cutoff Eldan Localization Process
ProvedFunctionalInequalities.KLS.BKL.Localization.exists_isEldanCutoff_readableThis formalizes the existence assertion associated with Equation (67) of Bizeul–Klartag–Lehec (arXiv:2610.05474v1), locator Equation (67), p. 19. Let be a probability measure on with compact support and assume that is isotropic. Let be an -dimensional Brownian motion on a probability space , and let be a right-continuous filtration satisfying the stated ordering and null-set hypotheses. For a cutoff function satisfying IsCutoff γ, there exists a parameter process satisfying IsEldanCutoff μ hc W ℱ hW γ p:
The predicate records the cutoff localization dynamics, including the initial parameter and the associated process properties. The theorem is the existence component of the cutoff-stage construction.
Original Lean declaration header
Within namespace FunctionalInequalities.KLS.BKL.Localization. Shown in its original module context. Proof omitted.
theorem exists_isEldanCutoff (hiso : KLS.Isotropic μ)
{Ω : Type*} [MeasurableSpace Ω] {P : Measure Ω} [IsProbabilityMeasure P]
(W : MultidimBrownianMotion P n) (ℱ : Filtration ℝ ‹MeasurableSpace Ω›)
[ℱ.IsRightContinuous] (hW : ∀ k, IsBrownianFiltration (W.W k) ℱ)
(hℱ0 : ∀ t : ℝ, t ≤ 0 → ℱ 0 ≤ ℱ t)
(hnull : ∀ s : Set Ω, MeasurableSet s → P s = 0 → MeasurableSet[ℱ 0] s)
{γ : Param n → ℝ} (hγ : IsCutoff γ) :
∃ p : ℝ → Ω → Param n, IsEldanCutoff μ hc W ℱ hW γ p
Module navigation
Module: KLS/BKL/Localization/Process/Basic.
Definition modules: KLS/BKL/Localization/Coefficients, LevyStochCalc/Brownian/Filtered, LevyStochCalc/Brownian/Multidim, KLS/Isotropic.
Supporting theorems: cutoffCoefficients_admissible, exists_isDiffusion.
Next: IsEldanCutoff.continuous.
Source excerpt, lines 44–51 · Frozen source 408915f.
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_Localization_Process_Basic
open MeasureTheory ProbabilityTheory Filter Topology
open LevyStochCalc LevyStochCalc.Brownian LevyStochCalc.Brownian.Multidim LevyStochCalc.Brownian.Ito
variable {n : ℕ} (μ : MeasureTheory.ProbabilityMeasure (EuclideanSpace ℝ (Fin n)))
(hc : IsCompact (μ : MeasureTheory.Measure (EuclideanSpace ℝ (Fin n))).support)
theorem FunctionalInequalities.KLS.BKL.Localization.exists_isEldanCutoff_readable (hiso : KLS.Isotropic μ)
{Ω : Type*} [MeasurableSpace Ω] {P : Measure Ω} [IsProbabilityMeasure P]
(W : MultidimBrownianMotion P n) (ℱ : Filtration ℝ ‹MeasurableSpace Ω›)
[ℱ.IsRightContinuous] (hW : ∀ k, IsBrownianFiltration (W.W k) ℱ)
(hℱ0 : ∀ t : ℝ, t ≤ 0 → ℱ 0 ≤ ℱ t)
(hnull : ∀ s : Set Ω, MeasurableSet s → P s = 0 → MeasurableSet[ℱ 0] s)
{γ : Param n → ℝ} (hγ : IsCutoff γ) :
∃ p : ℝ → Ω → Param n, IsEldanCutoff μ hc W ℱ hW γ p := by sorry