Conditioning random points by the number of vertices of their convex hull: the bi-pointed case
Jean-Fran\c{c}ois Marckert, Ludovic Morin

TL;DR
This paper investigates the asymptotic shape of the convex hull boundary formed by random points in a triangle, revealing a phase transition between hyperbolic and parabolic limits, and extends results to general convex sets.
Contribution
It introduces a phase transition in the convex hull boundary shape conditioned on the number of vertices, and characterizes the limit shapes as solutions to an optimization problem.
Findings
Hyperbola as limit shape for linear vertex count ratio
Parabola as limit shape when one part is negligible
Explicit probability expansion for the hyperbola case
Abstract
Pick random points independently and uniformly in a triangle ABC with area 1, and take the convex hull of the set . The boundary of this convex hull is a convex chain , with random size . The first aim of this paper is to study the asymptotic behavior of this chain, conditional on , when both and go to . We prove a phase transition: if where , this chain converges in probability for the Hausdorff topology to an (explicit) hyperbola as , while, if , the limit shape is a parabola. We prove that this hyperbola is solution to an optimization problem: among all concave curves in (incident with and ), is the…
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Taxonomy
TopicsPoint processes and geometric inequalities · Computational Geometry and Mesh Generation · Topological and Geometric Data Analysis
