Weak convergence of the intersection point process of Poisson hyperplanes

Abstract

This paper deals with the intersection point process of a stationary and isotropic Poisson hyperplane process in ${\mathbb{R}}^d$ of intensity $t>0$, where only hyperplanes that intersect a centred ball of radius $R>0$ are considered. Taking $R=t^{-\frac{d}{d+1}}$ it is shown that this point process converges in distribution, as $t\to \infty$, to a Poisson point process on ${\mathbb{R}}^d\setminus \{0\}$ whose intensity measure has power-law density proportional to $\Vert x{\Vert }^{-(d+1)}$ with respect to the Lebesgue measure. A bound on the speed of convergence in terms of the Kantorovich-Rubinstein distance is provided as well. In the background is a general functional Poisson approximation theorem on abstract Poisson spaces. Implications on the weak convergence of the convex hull of the intersection point process and the convergence of its $f$-vector are also discussed, disproving and correcting thereby a conjecture of Devroye and Toussaint [J.\ Algorithms 14.3 (1993), 381--394] in computational geometry.

23 pages, 2 figures