
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 �� such that almost every ��-connected graph has a Hamilton cycle.
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)
05C80, Probability (math.PR), FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), 60D05, Hamilton cycles, 05C45, Mathematics - Probability, random geometric graphs
05C80, Probability (math.PR), FOS: Mathematics, Mathematics - Combinatorics, Combinatorics (math.CO), 60D05, Hamilton cycles, 05C45, Mathematics - Probability, random geometric graphs
| citations This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 23 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
