Fluctuations of the connectivity threshold and largest nearest-neighbour link

Mathew Penrose, Xiaochuan Yang

Research output: Contribution to journalArticlepeer-review

Abstract

Consider a random uniform sample $\cX_n$ of $n$ points in a compact region $A$ of Euclidean $d$-space, $d \geq 2$, with a smooth or (when $d=2$) polygonal boundary. Fix $k \in \NN$. Let $M_k(\cX_n)$} be the threshold $r$ at which the geometric graph on these $n$ vertices with distance parameter $r$ becomes $k$-connected. We show that if $d=2$ then $n (\pi/|A|) M_1(\cX_n)^2 - \log n$ is asymptotically standard Gumbel. For $(d,k) \neq (2,1)$, it is
$$
n (\theta_d/|A|) M_k(\cX_n)^d- (2-2/d) \log n - (4-2k-2/d) \log \log n
$$
that converges in distribution to a nondegenerate limit, where $\theta_d$ is the volume of the unit ball. The limit is Gumbel with scale parameter 2 except when $(d,k)=(2,2)$ where the limit is two component extreme value distributed. The different cases reflect the fact that boundary effects are more important in some cases than others. We also give similar results for the largest $k$-nearest neighbour link $L_k(\cX_n)$ in the sample, and show $M_k(\cX_n) = L_k(\cX_n)$ with high probability. We provide estimates on rates of convergence and give similar results for Poisson samples in $A$. Finally, we give similar results even for non-uniform samples, with a less explicit sequence of centring constants.

Original languageEnglish
JournalAnnals of Applied Probability
Publication statusAcceptance date - 27 Jun 2025

Funding

FundersFunder number
Engineering and Physical Sciences Research CouncilEP/T028653/1

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