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Support Point On The Positive Side Of An Interior Point

Proved
FunctionalInequalities.Probability.exists_mem_support_inner_sub_pos_of_mem_interior_convexHull_readable

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

corderoklartag2015functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This formalizes the support-side geometric ingredient associated with Lemma 16 of Cordero–Erausquin–Klartag, Moment measures (arXiv:1304.0630v1), cited there as an alternative formulation.

Let EEE be a real inner-product normed additive group, let μ\muμ be a probability measure on EEE, and let x0∈Ex_0\in Ex0​∈E lie in the interior of the convex hull of the support of μ\muμ. For every nonzero direction u∈Eu\in Eu∈E, there exists a support point yyy such that

y∈supp⁡(μ)and0<⟨u,y−x0⟩.y\in\operatorname{supp}(\mu)\quad\text{and}\quad 0<\langle u,y-x_0\rangle.y∈supp(μ)and0<⟨u,y−x0​⟩.

This is a basic separation fact used to obtain positive-mass halfspace information around an interior point.

Original Lean declaration header

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

theorem exists_mem_support_inner_sub_pos_of_mem_interior_convexHull (μ : ProbabilityMeasure E) {x₀ : E}
    (hx₀ : x₀ ∈ interior (convexHull ℝ (μ : Measure E).support)) {u : E} (hu : u ≠ 0) :
    ∃ y ∈ (μ : Measure E).support, 0 < ⟪u, y - x₀⟫

Module navigation

Module: Probability/ConvexSupport.

Next: exists_pos_ball_inner_sub_pos_of_mem_support.

Source excerpt, lines 55–57 · Frozen source 408915f.

Preamble
import Definitions.Def_KLSModular_FunctionalInequalities_Probability_ConvexSupport

open MeasureTheory
open scoped RealInnerProductSpace
variable {E : Type*}
variable [NormedAddCommGroup E] [InnerProductSpace ℝ E]
variable [MeasurableSpace E]
Formal statement

theorem FunctionalInequalities.Probability.exists_mem_support_inner_sub_pos_of_mem_interior_convexHull_readable (μ : ProbabilityMeasure E) {x₀ : E}
    (hx₀ : x₀ ∈ interior (convexHull ℝ (μ : Measure E).support)) {u : E} (hu : u ≠ 0) :
    ∃ y ∈ (μ : Measure E).support, 0 < ⟪u, y - x₀⟫ := by sorry
Source
Source: Cordero-Erausquin–Klartag, Moment measures (arXiv:1304.0630v1), Lemma 16. Lean source: https://github.com/human-ai-mathematics/kls-lean/blob/408915f/formalization/FunctionalInequalities/Probability/ConvexSupport.lean#L53-L108 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Probability.ConvexSupport`, declaration `FunctionalInequalities.Probability.exists_mem_support_inner_sub_pos_of_mem_interior_convexHull`; the repository is private at upload time).

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