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Positive-Mass Ball Stable Under Nearby Halfspace Directions

Proved
FunctionalInequalities.Probability.exists_pos_ball_inner_sub_pos_of_mem_support_readable

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

corderoklartag2015functional-inequalitieskls-conjecturekls-modularkls-readablelog-concave

This is a local support and halfspace lemma used in the geometric argument for 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, and let x0,u,y∈Ex_0,u,y\in Ex0​,u,y∈E. Assume that y∈supp⁡(μ)y\in\operatorname{supp}(\mu)y∈supp(μ) and

0<⟨u,y−x0⟩.0<\langle u,y-x_0\rangle.0<⟨u,y−x0​⟩.

Then there exist δ>0\delta>0δ>0 and r>0r>0r>0 such that the ball B(y,r)B(y,r)B(y,r) has strictly positive μ\muμ-measure and, for every v∈Ev\in Ev∈E with ∥v−u∥<δ\|v-u\|<\delta∥v−u∥<δ and every x∈B(y,r)x\in B(y,r)x∈B(y,r),

0<⟨v,x−x0⟩.0<\langle v,x-x_0\rangle.0<⟨v,x−x0​⟩.

The result supplies a positive-mass neighborhood on which nearby directions define strict open halfspaces.

Original Lean declaration header

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

theorem exists_pos_ball_inner_sub_pos_of_mem_support (μ : ProbabilityMeasure E) {x₀ u y : E}
    (hy : y ∈ (μ : Measure E).support) (hpos : 0 < ⟪u, y - x₀⟫) :
    ∃ δ > 0, ∃ r > 0, 0 < (μ : Measure E) (Metric.ball y r) ∧
      ∀ v : E, ‖v - u‖ < δ → ∀ x ∈ Metric.ball y r, 0 < ⟪v, x - x₀⟫

Module navigation

Module: Probability/ConvexSupport.

Previous: exists_mem_support_inner_sub_pos_of_mem_interior_convexHull · Next: exists_pos_le_measure_halfspace_of_mem_interior_convexHull_support.

Source excerpt, lines 112–115 · 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_pos_ball_inner_sub_pos_of_mem_support_readable (μ : ProbabilityMeasure E) {x₀ u y : E}
    (hy : y ∈ (μ : Measure E).support) (hpos : 0 < ⟪u, y - x₀⟫) :
    ∃ δ > 0, ∃ r > 0, 0 < (μ : Measure E) (Metric.ball y r) ∧
      ∀ v : E, ‖v - u‖ < δ → ∀ x ∈ Metric.ball y r, 0 < ⟪v, x - 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#L110-L219 (repository human-ai-mathematics/kls-lean, commit 408915f, module `FunctionalInequalities.Probability.ConvexSupport`, declaration `FunctionalInequalities.Probability.exists_pos_ball_inner_sub_pos_of_mem_support`; the repository is private at upload time).

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