English

Large nearest neighbour balls in hyperbolic stochastic geometry

Probability 2023-03-16 v3 Metric Geometry

Abstract

Consider a stationary Poisson process in a dd-dimensional hyperbolic space. For R>0R>0 define the point process ξR(k)\xi_R^{(k)} of exceedance heights over a suitable threshold of the hyperbolic volumes of kkth nearest neighbour balls centred around the points of the Poisson process within a hyperbolic ball of radius RR centred at a fixed point. The point process ξR(k)\xi_R^{(k)} is compared to an inhomogeneous Poisson process on the real line with intensity function eue^{-u} and point process convergence in the Kantorovich-Rubinstein distance is shown. From this, a quantitative limit theorem for the hyperbolic maximum kkth nearest neighbour ball with a limiting Gumbel distribution is derived.

Keywords

Cite

@article{arxiv.2209.12730,
  title  = {Large nearest neighbour balls in hyperbolic stochastic geometry},
  author = {Moritz Otto and Christoph Thaele},
  journal= {arXiv preprint arXiv:2209.12730},
  year   = {2023}
}
R2 v1 2026-06-28T02:06:50.808Z