Affine Support Under Translation
ProvedFunctionalInequalities.Probability.affineSupport_translateLaw_readablefunctional-inequalitieskls-conjecturekls-modularkls-readablelog-concave
This is the affine-support transport identity for translated probability laws.
Let be a finite-dimensional real inner-product normed space with Borel and second-countable structure. Let be a probability measure on and let . If translateLaw μ b is the pushforward of by , then
The right side is expressed in Lean as the affine-subspace map under AffineEquiv.constVAdd. This is a geometric support-transport lemma.
Original Lean declaration header
Within namespace FunctionalInequalities.Probability. Shown in its original module context. Proof omitted.
theorem affineSupport_translateLaw :
affineSupport (translateLaw μ b) =
(affineSupport μ).map (AffineEquiv.constVAdd ℝ E b).toAffineMap
Module navigation
Module: Probability/IntrinsicTranslation.
Definition modules: Probability/AffineSupport, Probability/Transport.
Source excerpt, lines 30–32 · Frozen source 408915f.
Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Probability_IntrinsicTranslation
universe u
variable {E : Type u} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
[MeasurableSpace E] [BorelSpace E] [SecondCountableTopology E] [FiniteDimensional ℝ E]
variable (μ : MeasureTheory.ProbabilityMeasure E) (b : E)
Formal statement
theorem FunctionalInequalities.Probability.affineSupport_translateLaw_readable :
affineSupport (translateLaw μ b) =
(affineSupport μ).map (AffineEquiv.constVAdd ℝ E b).toAffineMap := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Probability/IntrinsicTranslation.lean#L29-L49 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Probability.IntrinsicTranslation`, declaration `FunctionalInequalities.Probability.affineSupport_translateLaw`; the repository is private at upload time).