On random convex chains, orthogonal polynomials, PF sequences and probabilistic limit theorems
Anna Gusakova, Christoph Th\"ale

TL;DR
This paper studies the convex hulls formed by random points in a triangle, revealing their probability generating functions have real roots and their vertex count distributions form PF sequences, with implications for probabilistic limit theorems.
Contribution
It establishes a three-term recursion for the generating function of the number of vertices and links it to orthogonal polynomials, showing the vertex count distribution is a PF sequence.
Findings
The probability generating function has exactly n real roots in (-∞,0].
The vertex count distribution forms a Polya frequency sequence.
Probabilistic consequences of these properties are discussed.
Abstract
Let be the triangle in the plane with vertices , and . The convex hull of , and independent random points uniformly distributed in is the random convex chain . A three-term recursion for the probability generating function of the number of vertices of is proved. Via the link to orthogonal polynomials it is shown that has precisely distinct real roots in and that the sequence , , is a Polya frequency (PF) sequence. A selection of probabilistic consequences of this surprising and remarkable fact are discussed in detail.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
