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Vector Generator Commutation with Continuous Linear Maps

Proved
FunctionalInequalities.Probability.Diffusion.vectorGenerator_clm_comp_readable

by Lazyfill · Oct 26, 2026 · Mathlib 0df444a (Lean v4.33.1)

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is a compatibility identity for the vector-valued diffusion generator under a continuous linear map.

Let VVV, WWW, and W′W'W′ be real normed additive groups and normed spaces, let ddd be a natural number, let b:V→Vb:V\to Vb:V→V and σ:V→Fin⁡(d)→V\sigma:V\to\operatorname{Fin}(d)\to Vσ:V→Fin(d)→V, and let ℓ:W→W′\ell:W\to W'ℓ:W→W′ be a continuous linear map. For G:V→WG:V\to WG:V→W and x∈Vx\in Vx∈V, assume that GGG is twice continuously differentiable at xxx.

Then, writing vectorGenerator for the generator,

vectorGenerator⁡b,σ(ℓ∘G)(x)=ℓ ⁣(vectorGenerator⁡b,σ(G)(x)).\operatorname{vectorGenerator}_{b,\sigma}(\ell\circ G)(x) =\ell\!\left(\operatorname{vectorGenerator}_{b,\sigma}(G)(x)\right).vectorGeneratorb,σ​(ℓ∘G)(x)=ℓ(vectorGeneratorb,σ​(G)(x)).

The result allows generator calculations for vector-valued functions to be transported through continuous linear maps, including trace and coordinate maps.

Original Lean declaration header

Within namespace FunctionalInequalities.Probability.Diffusion. Shown in its original module context. Proof omitted.

theorem vectorGenerator_clm_comp (b : V → V) (σ : V → Fin d → V)
    (ℓ : W →L[ℝ] W') {G : V → W} {x : V} (hG : ContDiffAt ℝ 2 G x) :
    vectorGenerator b σ (fun y => ℓ (G y)) x = ℓ (vectorGenerator b σ G x)

Module navigation

Module: Probability/Diffusion/VectorGenerator.

Source excerpt, lines 44–46 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Probability_Diffusion_VectorGenerator

variable {V : Type*} [NormedAddCommGroup V] [NormedSpace ℝ V] {d : ℕ}
variable {W W' : Type*}
variable [NormedAddCommGroup W] [NormedSpace ℝ W] [NormedAddCommGroup W'] [NormedSpace ℝ W']
Formal statement

theorem FunctionalInequalities.Probability.Diffusion.vectorGenerator_clm_comp_readable (b : V → V) (σ : V → Fin d → V)
    (ℓ : W →L[ℝ] W') {G : V → W} {x : V} (hG : ContDiffAt ℝ 2 G x) :
    vectorGenerator b σ (fun y => ℓ (G y)) x = ℓ (vectorGenerator b σ G x) := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Probability/Diffusion/VectorGenerator.lean#L43-L97 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Probability.Diffusion.VectorGenerator`, declaration `FunctionalInequalities.Probability.Diffusion.vectorGenerator_clm_comp`; the repository is private at upload time).

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