Gaussian approximation for Extreme Points in Laguerre tessellations

Abstract

We consider Gaussian approximation in three particular models of Poisson-Laguerre tessellations, namely, the ${\hat{I}}^2$-, $β'$- 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 ${\hat{I}}^2$-, $β'$- 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 ${\hat{I}}^2$-model, and are the first quantitative results for the $β'$- and Gaussian models.

33 pages, 2 figures, minor changes