Variance expansion and Berry-Esseen bound for the number of vertices of a random polygon in a polygon
Anna Gusakova, Matthias Reitzner, Christoph Th\"ale

TL;DR
This paper provides a detailed variance expansion and a sharp Berry-Esseen bound for the number of vertices of a random polygon formed by points uniformly distributed within a fixed polygon, advancing understanding of geometric probability.
Contribution
It offers the first second-order variance expansion and a precise Berry-Esseen bound for the vertex count of random polygons in a fixed polygon.
Findings
Variance expansion up to constant order for vertex number
Sharp Berry-Esseen bound proportional to the square root of variance
Decomposition method using convex chains for analysis
Abstract
Fix a container polygon in the plane and consider the convex hull of independent and uniformly distributed in random points. In the focus of this paper is the vertex number of the random polygon . The precise variance expansion for the vertex number is determined up to the constant-order term, a result which can be considered as a second-order analogue of the classical expansion for the expectation of R\'enyi and Sulanke (1963). Moreover, a sharp Berry-Esseen bound is derived for the vertex number of the random polygon , which is of the same order as the square-root of the variance. The main idea behind the proof of both results is a decomposition of the boundary of the random polygon into random convex chains and a careful merging of the variance expansions and Berry-Esseen bounds for the vertex numbers of the individual chains.
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.
Taxonomy
TopicsPoint processes and geometric inequalities · Data Management and Algorithms · Computational Geometry and Mesh Generation
