English

Sharpness in the k-nearest neighbours random geometric graph model

Probability 2013-02-26 v1 Combinatorics

Abstract

Let Sn,kS_{n,k} denote the random geometric graph obtained by placing points in a square box of area nn according to a Poisson process of intensity 1 and joining each point to its kk nearest neighbours. Balister, Bollob\'as, Sarkar and Walters conjectured that for every 0<ϵ<10< \epsilon <1 and all nn sufficiently large there exists C=C(ϵ)C=C(\epsilon) such that whenever the probability Sn,kS_{n,k} is connected is at least ϵ\epsilon then the probability Sn,k+CS_{n,k+C} is connected is at least 1ϵ1-\epsilon . In this paper we prove this conjecture. As a corollary we prove that there is a constant CC' such that whenever k=k(n)k=k(n) is a sequence of integers such that the probability Sn,k(n)S_{n,k(n)} is connected tends to one as nn tends to infinity, then for any s(n)s(n) with s(n)=o(logn)s(n)=o(\log n), the probability that Sn,k(n)+CsloglognS_{n,k(n)+C's\log \log n} is ss-connected tends to one This proves another conjecture of Balister, Bollob\'as, Sarkar and Walters.

Keywords

Cite

@article{arxiv.1101.3083,
  title  = {Sharpness in the k-nearest neighbours random geometric graph model},
  author = {Victor Falgas-Ravry and Mark Walters},
  journal= {arXiv preprint arXiv:1101.3083},
  year   = {2013}
}

Comments

22 pages; 1 figure

R2 v1 2026-06-21T17:12:46.850Z