Support Point On The Positive Side Of An Interior Point
ProvedFunctionalInequalities.Probability.exists_mem_support_inner_sub_pos_of_mem_interior_convexHull_readableThis 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 be a real inner-product normed additive group, let be a probability measure on , and let lie in the interior of the convex hull of the support of . For every nonzero direction , there exists a support point such that
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.
import Definitions.Def_KLSModular_FunctionalInequalities_Probability_ConvexSupport
open MeasureTheory
open scoped RealInnerProductSpace
variable {E : Type*}
variable [NormedAddCommGroup E] [InnerProductSpace ℝ E]
variable [MeasurableSpace E]
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