Unimodality for Radon partitions of random vectors
Swee Hong Chan, Gil Kalai, Bhargav Narayanan, Natalya Ter-Saakov, Moshe White

TL;DR
This paper proves strong unimodality results for the distribution of sizes in Radon partitions of random Gaussian vectors in high-dimensional space, revealing new probabilistic properties of these partitions.
Contribution
It introduces novel unimodality results for the distribution of Radon partition sizes of Gaussian vectors, a previously unexplored aspect.
Findings
Distribution $(p_0,...,p_n)$ is strongly unimodal.
Probabilities $p_k$ exhibit a unimodal pattern.
Results apply to high-dimensional Gaussian vectors.
Abstract
Consider the (almost surely) unique Radon partition of a set of random Gaussian vectors in ; choose one of the two parts of this partition uniformly at random, and for , let denote the probability that it has size . In this paper, we prove strong unimodality results for the distribution .
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Taxonomy
TopicsPoint processes and geometric inequalities · Geometry and complex manifolds · Financial Risk and Volatility Modeling
