Gaussian approximation for Extreme Points in Laguerre tessellations

Fuente: arXiv
Salvato in:
Dettagli Bibliografici
Autori principali: Bhattacharjee, Chinmoy, Gusakova, Anna
Natura: Preprint
Pubblicazione: 2025
Soggetti:
Accesso online:
Tags: Aggiungi Tag
Nessun Tag, puoi essere il primo ad aggiungerne!!
_version_ 1866914165250064384
author Bhattacharjee, Chinmoy
Gusakova, Anna
author_facet Bhattacharjee, Chinmoy
Gusakova, Anna
contents We consider Gaussian approximation in three particular models of Poisson-Laguerre tessellations, namely, the $β$-, $β'$- and Gaussian-Voronoi tessellations. The tessellations are constructed based on inhomogeneous Poisson point processes in space-time $\mathbb{R}^d \times \mathbb{R}$, where some of the points of the process give rise to a cell in $\mathbb{R}^d$, known as extreme points, while the other points produce an empty cell. Using the notion of region-stabilization, we derive quantitative central limit theorems with presumably optimal rates of convergence for the number of extreme points of $β$-, $β'$- and Gaussian-Voronoi tessellations in a growing window $W_n=[-n,n]^d$ as $n\to\infty$. Our bounds improve and extend previously known results by Schreiber and Yukich (2008) for the $β$-model, and are the first quantitative results for the $β'$- and Gaussian models.
format Preprint
id arxiv_https___arxiv_org_abs_2510_21665
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle Gaussian approximation for Extreme Points in Laguerre tessellations
Bhattacharjee, Chinmoy
Gusakova, Anna
Probability
60D05, 60F05
We consider Gaussian approximation in three particular models of Poisson-Laguerre tessellations, namely, the $β$-, $β'$- and Gaussian-Voronoi tessellations. The tessellations are constructed based on inhomogeneous Poisson point processes in space-time $\mathbb{R}^d \times \mathbb{R}$, where some of the points of the process give rise to a cell in $\mathbb{R}^d$, known as extreme points, while the other points produce an empty cell. Using the notion of region-stabilization, we derive quantitative central limit theorems with presumably optimal rates of convergence for the number of extreme points of $β$-, $β'$- and Gaussian-Voronoi tessellations in a growing window $W_n=[-n,n]^d$ as $n\to\infty$. Our bounds improve and extend previously known results by Schreiber and Yukich (2008) for the $β$-model, and are the first quantitative results for the $β'$- and Gaussian models.
title Gaussian approximation for Extreme Points in Laguerre tessellations
topic Probability
60D05, 60F05
url https://arxiv.org/abs/2510.21665