Diffusion Generator Under Linear Coordinate Transport
ProvedFunctionalInequalities.Probability.Diffusion.diffusionGenerator_transport_readablefunctional-inequalitieskls-conjecturekls-modularkls-readablelog-concave
Let be finite-dimensional real normed spaces, let be a continuous linear equivalence, let , , and . For every , the generator is invariant under transport:
Here transportDrift, transportNoise, and diffusionGenerator are the Lean definitions involved. No differentiability assumption on is included in the theorem statement.
Original Lean declaration header
Within namespace FunctionalInequalities.Probability.Diffusion. Shown in its original module context. Proof omitted.
theorem diffusionGenerator_transport {V' : Type*} [NormedAddCommGroup V'] [NormedSpace ℝ V']
{d : ℕ} (Φ : V ≃L[ℝ] V') (b : V → V) (σ : V → Fin d → V) (F : V → ℝ) (x : V) :
diffusionGenerator (transportDrift Φ b) (transportNoise Φ σ) (F ∘ Φ.symm) (Φ x) =
diffusionGenerator b σ F x
Module navigation
Module: Probability/Diffusion/Generator.
Next: diffusionGenerator_comp.
Source excerpt, lines 46–49 · Frozen source 408915f.
Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Probability_Diffusion_Generator
variable {V : Type*} [NormedAddCommGroup V] [NormedSpace ℝ V] [FiniteDimensional ℝ V]
Formal statement
theorem FunctionalInequalities.Probability.Diffusion.diffusionGenerator_transport_readable {V' : Type*} [NormedAddCommGroup V'] [NormedSpace ℝ V']
{d : ℕ} (Φ : V ≃L[ℝ] V') (b : V → V) (σ : V → Fin d → V) (F : V → ℝ) (x : V) :
diffusionGenerator (transportDrift Φ b) (transportNoise Φ σ) (F ∘ Φ.symm) (Φ x) =
diffusionGenerator b σ F x := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Probability/Diffusion/Generator.lean#L44-L72 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Probability.Diffusion.Generator`, declaration `FunctionalInequalities.Probability.Diffusion.diffusionGenerator_transport`; the repository is private at upload time).