English

Small components in k-nearest neighbour graphs

Probability 2011-01-14 v1 Computational Geometry Combinatorics

Abstract

Let G=Gn,kG=G_{n,k} denote the graph formed by placing points in a square of area nn according to a Poisson process of density 1 and joining each point to its kk nearest neighbours. Balister, Bollob\'as, Sarkar and Walters proved that if k<0.3043lognk<0.3043\log n then the probability that GG is connected tends to 0, whereas if k>0.5139lognk>0.5139\log n then the probability that GG is connected tends to 1. We prove that, around the threshold for connectivity, all vertices near the boundary of the square are part of the (unique) giant component. This shows that arguments about the connectivity of GG do not need to consider `boundary' effects. We also improve the upper bound for the threshold for connectivity of GG to k=0.4125lognk=0.4125\log n.

Keywords

Cite

@article{arxiv.1101.2619,
  title  = {Small components in k-nearest neighbour graphs},
  author = {Mark Walters},
  journal= {arXiv preprint arXiv:1101.2619},
  year   = {2011}
}

Comments

15 pages, 2 figures

R2 v1 2026-06-21T17:11:36.101Z