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Borell Density Under a Concave Tilt

Proved
FunctionalInequalities.KLS.LogConcave.isBorellDensity_of_concave_tilt_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This states stability of Borell densities under continuous concave tilting.

Let EEE be a real inner-product space with Borel measurable structure. Let μ\muμ and ν\nuν be probability measures, let mmm be a measure, and let ρ:E→R\rho:E\to\mathbb Rρ:E→R be a Borell density of μ\muμ with respect to mmm. Let ϕ:E→R\phi:E\to\mathbb Rϕ:E→R be continuous and concave on all of EEE, and assume

ν=μ.tilted⁡(ϕ).\nu=\mu.\operatorname{tilted}(\phi).ν=μ.tilted(ϕ).

Then ν\nuν has Borell density

x⟼ρ(x) eϕ(x)∫Eeϕ(y) dμ(y)x\longmapsto \rho(x)\,\frac{e^{\phi(x)}}{\int_E e^{\phi(y)}\,d\mu(y)}x⟼ρ(x)∫E​eϕ(y)dμ(y)eϕ(x)​

with respect to mmm. The definition permits zeros of ρ\rhoρ. This result is a measure-theoretic closure property for the log-concave class and does not assume finite dimensionality in its Lean type.

Original Lean declaration header

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

theorem isBorellDensity_of_concave_tilt (μ ν : ProbabilityMeasure E)
    (m : Measure E) {ρ : E → ℝ} (hρ : KLS.IsBorellDensity (μ : Measure E) m ρ)
    (φ : E → ℝ) (hφ : Continuous φ) (hconc : ConcaveOn ℝ univ φ)
    (hν : (ν : Measure E) = (μ : Measure E).tilted φ) :
    KLS.IsBorellDensity (ν : Measure E) m
      (fun x => ρ x * (Real.exp (φ x) / ∫ y, Real.exp (φ y) ∂(μ : Measure E)))

Module navigation

Module: KLS/LogConcave/Density/ConcaveTilt.

Definition modules: KLS/LogConcave/Density/BorellRepresentation/Basic.

Supporting theorems: integrable_exp_neg_of_eq_tilted, rpow_mul_rpow_le_of_convexOn.

Next: logConcave_of_concave_tilt.

Source excerpt, lines 40–45 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_KLS_LogConcave_Density_ConcaveTilt

open MeasureTheory Set Filter Topology FunctionalInequalities
variable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
  [FiniteDimensional ℝ E] [MeasurableSpace E] [BorelSpace E]
omit [FiniteDimensional ℝ E]
Formal statement

theorem FunctionalInequalities.KLS.LogConcave.isBorellDensity_of_concave_tilt_readable (μ ν : ProbabilityMeasure E)
    (m : Measure E) {ρ : E → ℝ} (hρ : KLS.IsBorellDensity (μ : Measure E) m ρ)
    (φ : E → ℝ) (hφ : Continuous φ) (hconc : ConcaveOn ℝ univ φ)
    (hν : (ν : Measure E) = (μ : Measure E).tilted φ) :
    KLS.IsBorellDensity (ν : Measure E) m
      (fun x => ρ x * (Real.exp (φ x) / ∫ y, Real.exp (φ y) ∂(μ : Measure E))) := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/KLS/LogConcave/Density/ConcaveTilt.lean#L38-L77 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.KLS.LogConcave.Density.ConcaveTilt`, declaration `FunctionalInequalities.KLS.LogConcave.isBorellDensity_of_concave_tilt`; the repository is private at upload time).

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