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Continuous Differentiability of the Moment Potential

Proved
FunctionalInequalities.Analysis.contDiff_one_of_map_gradient_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readableletwin2026log-concave

This formalizes the regularity statement associated with Klartag's result, cited as Lemma 2.2 in Letwin (arXiv:2607.24164v1), with the reviewed relation recorded as partial.

Let EEE be a nontrivial finite-dimensional real inner-product space with its Borel measurable structure. Let u:E→Ru:E\to\mathbb Ru:E→R be Lipschitz and convex, and assume:

  1. ∫Ee−u(x) dvol⁡(x)=1\int_E e^{-u(x)}\,d\operatorname{vol}(x)=1∫E​e−u(x)dvol(x)=1.
  2. K⊆EK\subseteq EK⊆E is compact, convex, and has nonempty interior.
  3. V:E→RV:E\to\mathbb RV:E→R is continuous.
  4. The push-forward of the tilted volume measure by ∇u\nabla u∇u equals the measure with density 1K(p)ofReal⁡(e−V(p))1_K(p)\operatorname{ofReal}(e^{-V(p)})1K​(p)ofReal(e−V(p)).

Then

u∈C1(E),u\in C^1(E),u∈C1(E),

formalized as ContDiff ℝ 1 u.

This is the regularity conclusion used for the moment potential in the finite-dimensional compact-target setting.

Formalization Note The statement proves ContDiff of order 111 on the whole finite-dimensional space; it does not state positive-definite Hessian, a global diffeomorphism, or a pointwise Monge–Ampère equation.

Original Lean declaration header

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

theorem contDiff_one_of_map_gradient
    [FiniteDimensional ℝ E] [Nontrivial E] [MeasurableSpace E] [BorelSpace E]
    {u : E → ℝ} {L : NNReal} (hu : LipschitzWith L u) (hconv : ConvexOn ℝ univ u)
    (hnorm : ∫ x, Real.exp (-u x) ∂(volume : Measure E) = 1)
    {K : Set E} (hK : IsCompact K) (hKc : Convex ℝ K) (hKint : (interior K).Nonempty)
    {V : E → ℝ} (hV : Continuous V)
    (hmap : ((volume : Measure E).tilted (-u)).map (gradient u) =
      (volume : Measure E).withDensity (K.indicator fun p => ENNReal.ofReal (Real.exp (-V p)))) :
    ContDiff ℝ 1 u

Module navigation

Module: Analysis/Convex/Caffarelli.

Selected supporting theorems: contDiff_one_of_convexOn_of_differentiable, convexOn_truncatedConjugate, eq_of_contact_of_sublevel_bounds, exists_inverse_subgradient_volume_bounds, exists_subgradient_slope_le_inner_add.

Previous: strictConvexOn_of_map_gradient.

Source excerpt, lines 2156–2164 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Convex_Caffarelli

open MeasureTheory Set Metric
variable {E : Type*}
variable [NormedAddCommGroup E] [InnerProductSpace ℝ E]
set_option maxHeartbeats 800000
Formal statement

theorem FunctionalInequalities.Analysis.contDiff_one_of_map_gradient_readable
    [FiniteDimensional ℝ E] [Nontrivial E] [MeasurableSpace E] [BorelSpace E]
    {u : E → ℝ} {L : NNReal} (hu : LipschitzWith L u) (hconv : ConvexOn ℝ univ u)
    (hnorm : ∫ x, Real.exp (-u x) ∂(volume : Measure E) = 1)
    {K : Set E} (hK : IsCompact K) (hKc : Convex ℝ K) (hKint : (interior K).Nonempty)
    {V : E → ℝ} (hV : Continuous V)
    (hmap : ((volume : Measure E).tilted (-u)).map (gradient u) =
      (volume : Measure E).withDensity (K.indicator fun p => ENNReal.ofReal (Real.exp (-V p)))) :
    ContDiff ℝ 1 u := by sorry
Source
Source: Letwin, The KLS constant is O(log^(1/4) n) (arXiv:2607.24164v1), Lemma 2.2 (Klartag [41]). Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Convex/Caffarelli.lean#L2151-L2313 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Convex.Caffarelli`, declaration `FunctionalInequalities.Analysis.contDiff_one_of_map_gradient`; the repository is private at upload time).

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