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arxiv: math/0501214 · v2 · pith:QAQGSUEXnew · submitted 2005-01-14 · 🧮 math.CO · math.PR

Random Geometric Graph Diameter in the Unit Ball

classification 🧮 math.CO math.PR
keywords lambdaballdiamgraphmathbfunitdiameterrandom
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The unit ball random geometric graph $G=G^d_p(\lambda,n)$ has as its vertices $n$ points distributed independently and uniformly in the $d$-dimensional unit ball, with two vertices adjacent if and only if their $l_p$-distance is at most $\lambda$. Like its cousin the Erdos-Renyi random graph, $G$ has a connectivity threshold: an asymptotic value for $\lambda$ in terms of $n$, above which $G$ is connected and below which $G$ is disconnected (and in fact has isolated vertices in most cases). In the connected zone, we determine upper and lower bounds for the graph diameter of $G$. Specifically, almost always, $\diam_p(\mathbf{B})(1-o(1))/\lambda \leq \diam(G) \leq \diam_p(\mathbf{B})(1+O((\ln \ln n/\ln n)^{1/d}))/\lambda$, where $\diam_p(\mathbf{B})$ is the $\ell_p$-diameter of the unit ball $\mathbf{B}$. We employ a combination of methods from probabilistic combinatorics and stochastic geometry.

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