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On the components of random geometric graphs in the dense limit (2501.02676v2)

Published 5 Jan 2025 in math.PR

Abstract: Consider the geometric graph on $n$ independent uniform random points in a connected compact region $A$ of ${\bf R}d, d \geq 2$ with $C2$ boundary, or in the unit square, with distance parameter $r_n$. Let $K_n$ be the number of components of this graph, and $R_n$ the number of vertices not in the giant component. Let $S_n$ be the number of isolated vertices. We show that if $r_n$ is chosen so that $nr_nd$ tends to infinity but slowly enough that ${\bf E}[S_n]$ also tends to infinity, then $K_n$, $R_n$ and $S_n$ are all asymptotic to $\mu_n$ in probability as $n \to \infty$ where (with $|A|$, $\theta_d$ and $|\partial A|$ denoting the volume of $A$, of the unit $d$-ball, and the perimeter of $A$ respectively) $\mu_n := ne{-\pi n r_nd/|A|}$ if $d=2$ and $\mu_n := ne{-\theta_d n r_nd/|A|} + \theta_{d-1}{-1} |\partial A| r_n{1-d} e{- \theta_d n r_nd/(2|A|)}$ if $d\geq 3$. We also give variance asymptotics and central limit theorems for $K_n$ and $R_n$ in this limiting regime when $d \geq 3$, and for Poisson input with $d \geq 2$. We extend these results (substituting ${\bf E}[S_n]$ for $\mu_n$) to a class of non-uniform distributions on $A$.

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