Vector Generator Commutation with Continuous Linear Maps
ProvedFunctionalInequalities.Probability.Diffusion.vectorGenerator_clm_comp_readableThis is a compatibility identity for the vector-valued diffusion generator under a continuous linear map.
Let , , and be real normed additive groups and normed spaces, let be a natural number, let and , and let be a continuous linear map. For and , assume that is twice continuously differentiable at .
Then, writing vectorGenerator for the generator,
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.
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']
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