English

Covering one point process with another

Probability 2025-01-16 v2

Abstract

Let X1,X2,X_1,X_2, \ldots and Y1,Y2,Y_1, Y_2, \ldots be i.i.d. random uniform points in a bounded domain AR2A \subset \mathbb{R}^2 with smooth or polygonal boundary. Given n,m,kNn,m,k \in \mathbb{N}, define the {\em two-sample kk-coverage threshold} Rn,m,kR_{n,m,k} to be the smallest rr such that each point of {Y1,,Ym} \{Y_1,\ldots,Y_m\} is covered at least kk times by the disks of radius rr centred on X1,,XnX_1,\ldots,X_n. We obtain the limiting distribution of Rn,m,kR_{n,m,k} as nn \to \infty with m=m(n)τnm= m(n) \sim \tau n for some constant τ>0\tau >0, with kk fixed. If AA has unit area, then nπRn,m(n),12lognn \pi R_{n,m(n),1}^2 - \log n is asymptotically Gumbel distributed with scale parameter 11 and location parameter logτ\log \tau. For k>2k >2, we find that nπRn,m(n),k2logn(2k3)loglognn \pi R_{n,m(n),k}^2 - \log n - (2k-3) \log \log n is asymptotically Gumbel with scale parameter 22 and a more complicated location parameter involving the perimeter of AA; boundary effects dominate when k>2k >2. For k=2k=2 the limiting cdf is a two-component extreme value distribution with scale parameters 1 and 2. We also give analogous results for higher dimensions, where the boundary effects dominate for all kk.

Keywords

Cite

@article{arxiv.2401.03832,
  title  = {Covering one point process with another},
  author = {Frankie Higgs and Mathew D. Penrose and Xiaochuan Yang},
  journal= {arXiv preprint arXiv:2401.03832},
  year   = {2025}
}

Comments

35 pages, 6 figures

R2 v1 2026-06-28T14:11:06.836Z