Unimodality for Radon partitions of random vectors

Fuente: arXiv
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Hauptverfasser: Chan, Swee Hong, Kalai, Gil, Narayanan, Bhargav, Ter-Saakov, Natalya, White, Moshe
Format: Preprint
Veröffentlicht: 2025
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author Chan, Swee Hong
Kalai, Gil
Narayanan, Bhargav
Ter-Saakov, Natalya
White, Moshe
author_facet Chan, Swee Hong
Kalai, Gil
Narayanan, Bhargav
Ter-Saakov, Natalya
White, Moshe
contents Consider the (almost surely) unique Radon partition of a set of $n$ random Gaussian vectors in $\mathbb R^{n-2}$; choose one of the two parts of this partition uniformly at random, and for $0 \le k \le n$, let $p_k$ denote the probability that it has size $k$. In this paper, we prove strong unimodality results for the distribution $(p_0,\dots,p_n)$.
format Preprint
id arxiv_https___arxiv_org_abs_2507_01353
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Unimodality for Radon partitions of random vectors
Chan, Swee Hong
Kalai, Gil
Narayanan, Bhargav
Ter-Saakov, Natalya
White, Moshe
Combinatorics
Probability
05A20, 52A35 (Primary) 52A40, 60C05, 60F05, 62G30 (Secondary)
Consider the (almost surely) unique Radon partition of a set of $n$ random Gaussian vectors in $\mathbb R^{n-2}$; choose one of the two parts of this partition uniformly at random, and for $0 \le k \le n$, let $p_k$ denote the probability that it has size $k$. In this paper, we prove strong unimodality results for the distribution $(p_0,\dots,p_n)$.
title Unimodality for Radon partitions of random vectors
topic Combinatorics
Probability
05A20, 52A35 (Primary) 52A40, 60C05, 60F05, 62G30 (Secondary)
url https://arxiv.org/abs/2507.01353