English

Almost optimal sparsification of random geometric graphs

Probability 2014-03-11 v2 Discrete Mathematics Networking and Internet Architecture Combinatorics

Abstract

A random geometric irrigation graph Γn(rn,ξ)\Gamma_n(r_n,\xi) has nn vertices identified by nn independent uniformly distributed points X1,,XnX_1,\ldots,X_n in the unit square [0,1]2[0,1]^2. Each point XiX_i selects ξi\xi_i neighbors at random, without replacement, among those points XjX_j (jij\neq i) for which XiXj<rn\|X_i-X_j\| < r_n, and the selected vertices are connected to XiX_i by an edge. The number ξi\xi_i of the neighbors is an integer-valued random variable, chosen independently with identical distribution for each XiX_i such that ξi\xi_i satisfies 1ξiκ1\le \xi_i \le \kappa for a constant κ>1\kappa>1. We prove that when rn=γnlogn/nr_n = \gamma_n \sqrt{\log n/n} for γn\gamma_n \to \infty with γn=o(n1/6/log5/6n)\gamma_n =o(n^{1/6}/\log^{5/6}n), then the random geometric irrigation graph experiences explosive percolation in the sense that when Eξi=1\mathbf E \xi_i=1, then the largest connected component has size o(n)o(n) but if Eξi>1\mathbf E \xi_i >1, then the size of the largest connected component is with high probability no(n)n-o(n). This offers a natural non-centralized sparsification of a random geometric graph that is mostly connected.

Keywords

Cite

@article{arxiv.1403.1274,
  title  = {Almost optimal sparsification of random geometric graphs},
  author = {Nicolas Broutin and Luc Devroye and Gabor Lugosi},
  journal= {arXiv preprint arXiv:1403.1274},
  year   = {2014}
}
R2 v1 2026-06-22T03:21:05.074Z