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Density Transformation Under A Fibrewise Shear

Proved
FunctionalInequalities.KLS.LogConcave.Suspension.map_density_shift_scale_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This technical lemma gives the density transformation for a fibrewise affine change of variables.

Let AAA be a measurable space, let μ\muμ be an s-finite measure on AAA, let F:A→RF:A\to\mathbb RF:A→R be measurable, let σ≠0\sigma\ne0σ=0, and let w:A×R→[0,∞]w:A\times\mathbb R\to[0,\infty]w:A×R→[0,∞] be measurable. Under the map

T(a,η)=(a,F(a)+ησ),T(a,\eta)=\left(a,\frac{F(a)+\eta}{\sigma}\right),T(a,η)=(a,σF(a)+η​),

the pushforward of the measure with density www relative to μ⊗ds\mu\otimes dsμ⊗ds is the measure with density

∣σ∣ w(a,σs−F(a)).|\sigma|\,w(a,\sigma s-F(a)).∣σ∣w(a,σs−F(a)).

Equivalently,

((μ⊗ds).withDensity w).map(T)=(μ⊗ds).withDensity((a,s)↦∣σ∣w(a,σs−F(a))).((\mu\otimes ds).withDensity\,w).map(T) =(\mu\otimes ds).withDensity\bigl((a,s)\mapsto|\sigma|w(a,\sigma s-F(a))\bigr).((μ⊗ds).withDensityw).map(T)=(μ⊗ds).withDensity((a,s)↦∣σ∣w(a,σs−F(a))).

The lemma records the Jacobian factor for the shear and rescaling used in the suspension density calculation.

Original Lean declaration header

Within namespace FunctionalInequalities.KLS.LogConcave.Suspension. Shown in its original module context. Proof omitted.

private theorem map_density_shift_scale {A : Type*} [MeasurableSpace A] (μ : Measure A)
    [SFinite μ] (F : A → ℝ) (hF : Measurable F) (σ : ℝ) (hσ : σ ≠ 0)
    (w : A × ℝ → ENNReal) (hw : Measurable w) :
    ((μ.prod volume).withDensity w).map (fun p => (p.1, (F p.1 + p.2) / σ)) =
      (μ.prod volume).withDensity
        (fun p => ENNReal.ofReal |σ| * w (p.1, σ * p.2 - F p.1))

Module navigation

Module: KLS/BKL/Suspension/Density.

Next: jointLaw_eq_tilted.

Source excerpt, lines 29–34 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_BKL_Suspension_Density

open MeasureTheory FunctionalInequalities.Probability.Line
Formal statement

 theorem FunctionalInequalities.KLS.LogConcave.Suspension.map_density_shift_scale_readable {A : Type*} [MeasurableSpace A] (μ : Measure A)
    [SFinite μ] (F : A → ℝ) (hF : Measurable F) (σ : ℝ) (hσ : σ ≠ 0)
    (w : A × ℝ → ENNReal) (hw : Measurable w) :
    ((μ.prod volume).withDensity w).map (fun p => (p.1, (F p.1 + p.2) / σ)) =
      (μ.prod volume).withDensity
        (fun p => ENNReal.ofReal |σ| * w (p.1, σ * p.2 - F p.1)) := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/BKL/Suspension/Density.lean#L27-L79 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.BKL.Suspension.Density`, declaration `_private.FunctionalInequalities.KLS.BKL.Suspension.Density.0.FunctionalInequalities.KLS.LogConcave.Suspension.map_density_shift_scale`; the repository is private at upload time).

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