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Weak convergence of the intersection point process of Poisson hyperplanes (2007.06398v2)

Published 13 Jul 2020 in math.PR

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 $|x|{-(d+1)}$ 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.

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