Lipschitz Bound For Transported Diffusion Coefficients
ProvedFunctionalInequalities.Probability.Diffusion.diffusionCoeffs_lipschitz_readablefunctional-inequalitieskls-conjecturekls-modularkls-readablelog-concave
This auxiliary lemma concerns autonomous coefficients. Let and , and let be an NNReal. If is -Lipschitz and every map is -Lipschitz, then there exists such that the corresponding diffusionCoeffs b σ are IsLipschitz with respect to the zero measure on the unit space:
This declaration serves as a technical bridge from componentwise Lipschitz hypotheses to the bundled coefficient condition.
Original Lean declaration header
Within namespace FunctionalInequalities.Probability.Diffusion. Shown in its original module context. Proof omitted.
private theorem diffusionCoeffs_lipschitz {N d : ℕ}
{b : (Fin N → ℝ) → Fin N → ℝ}
{σ : (Fin N → ℝ) → Fin d → Fin N → ℝ} {K : ℝ≥0}
(hb : LipschitzWith K b) (hσ : ∀ k, LipschitzWith K fun x => σ x k) :
∃ L : ℝ, (diffusionCoeffs b σ).IsLipschitz (0 : Measure Unit) L
Module navigation
Module: Probability/Diffusion/Existence.
Definition modules: LevyStochCalc/Ito/Setting.
Next: exists_isDiffusion.
Source excerpt, lines 109–113 · Frozen source 408915f.
Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Probability_Diffusion_Existence open MeasureTheory ProbabilityTheory Filter Topology open scoped NNReal ENNReal
Formal statement
theorem FunctionalInequalities.Probability.Diffusion.diffusionCoeffs_lipschitz_readable {N d : ℕ}
{b : (Fin N → ℝ) → Fin N → ℝ}
{σ : (Fin N → ℝ) → Fin d → Fin N → ℝ} {K : ℝ≥0}
(hb : LipschitzWith K b) (hσ : ∀ k, LipschitzWith K fun x => σ x k) :
∃ L : ℝ, (FunctionalInequalities.Probability.Diffusion.diffusionCoeffs b σ).IsLipschitz (0 : Measure Unit) L := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Probability/Diffusion/Existence.lean#L109-L154 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Probability.Diffusion.Existence`, declaration `_private.FunctionalInequalities.Probability.Diffusion.Existence.0.FunctionalInequalities.Probability.Diffusion.diffusionCoeffs_lipschitz`; the repository is private at upload time).