arXiv:0905.4650 [math.PR]AbstractReferencesReviewsResources
Hamilton cycles in random geometric graphs
József Balogh, Béla Bollobás, Michael Krivelevich, Tobias Müller, Mark Walters
Published 2009-05-28, updated 2012-11-08Version 2
We prove that, in the Gilbert model for a random geometric graph, almost every graph becomes Hamiltonian exactly when it first becomes 2-connected. This answers a question of Penrose. We also show that in the k-nearest neighbor model, there is a constant \kappa\ such that almost every \kappa-connected graph has a Hamilton cycle.
Comments: Published in at http://dx.doi.org/10.1214/10-AAP718 the Annals of Applied Probability (http://www.imstat.org/aap/) by the Institute of Mathematical Statistics (http://www.imstat.org)
Journal: Annals of Applied Probability 2011, Vol. 21, No. 3, 1053-1072
DOI: 10.1214/10-AAP718
Keywords: random geometric graph, hamilton cycle, k-nearest neighbor model, gilbert model, hamiltonian
Tags: journal article
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