Infinite random geometric graphs
Abstract
We introduce a new class of countably infinite random geometric graphs, whose vertices are points in a metric space, and vertices are adjacent independently with probability p if the metric distance between the vertices is below a given threshold. If the vertex set is a countable dense set in R^n equipped with the metric derived from the L_{\infty}-norm, then it is shown that with probability 1 such infinite random geometric graphs have a unique isomorphism type. The isomorphism type, which we call GR_n, is characterized by a geometric analogue of the existentially closed adjacency property, and we give a deterministic construction of GR_n. In contrast, we show that infinite random geometric graphs in R^2 with the Euclidean metric are not necessarily isomorphic.
Cite
@article{arxiv.0908.2590,
title = {Infinite random geometric graphs},
author = {Anthony Bonato and Jeannette Janssen},
journal= {arXiv preprint arXiv:0908.2590},
year = {2012}
}
Comments
17 pages, 4 figures