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Strict Convexity From Compact Target Push-Forward

Proved
FunctionalInequalities.Analysis.strictConvexOn_of_map_gradient_readable

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

functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This states strict convexity of a moment potential under a compact-target push-forward hypothesis.

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

∫Ee−u(x) dvol⁡(x)=1.\int_E e^{-u(x)}\,d\operatorname{vol}(x)=1.∫E​e−u(x)dvol(x)=1.

Let K⊆EK\subseteq EK⊆E be compact, convex, and nonempty. Let V:E→RV:E\to\mathbb RV:E→R be continuous. Assume that the push-forward of the tilted volume measure by ∇u\nabla u∇u equals the volume 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 is strictly convex on E.u\text{ is strictly convex on }E.u is strictly convex on E.

The result packages the contact-set argument into a global strict-convexity conclusion. It does not assert differentiability.

Original Lean declaration header

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

theorem strictConvexOn_of_map_gradient {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
    [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) (hKne : 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)))) :
    StrictConvexOn ℝ univ u

Module navigation

Module: Analysis/Convex/Caffarelli.

Supporting theorems: eq_of_contact_of_sublevel_bounds, exists_forall_le_and_isCompact_sublevel_of_convexOn_integrable_exp_neg, strictConvexOn_of_contact_eq, volume_subgradientImage_eq_lintegral_of_isOpen.

Previous: eq_of_contact_of_sublevel_bounds · Next: contDiff_one_of_map_gradient.

Source excerpt, lines 1987–1995 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Analysis_Convex_Caffarelli

open MeasureTheory Set Metric
Formal statement

theorem FunctionalInequalities.Analysis.strictConvexOn_of_map_gradient_readable {E : Type*} [NormedAddCommGroup E] [InnerProductSpace ℝ E]
    [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) (hKne : 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)))) :
    StrictConvexOn ℝ univ u := by sorry
Source
Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Analysis/Convex/Caffarelli.lean#L1984-L2087 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Analysis.Convex.Caffarelli`, declaration `FunctionalInequalities.Analysis.strictConvexOn_of_map_gradient`; the repository is private at upload time).

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