2019/01/26 by Fountoulakis, Nikolaos, Mitsche, Dieter, Müller, Tobias +1
#Combinatorics (math.CO) #FOS: Mathematics #Probability (math.PR)
paper · doi:10.48550/arxiv.1901.09175
In this paper we consider the existence of Hamilton cycles and perfect matchings in a random graph model proposed by Krioukov et al.~in 2010. In this model, nodes are chosen randomly inside a disk in the hyperbolic plane and two nodes are connected if they are at most a certain hyperbolic distance from each other. It has been previously shown that this model has various properties associated with complex networks, including a power-law degree distribution, "short distances" and a strictly positive clustering coefficient. The model is specified using three parameters: the number of nodes n, which we think of as going to infinity, and α, ν> 0, which we think of as constant. Roughly speaking α controls the power law exponent of the degree sequence and ν the average degree. Here we show that for every α< 1/2 and ν=ν(α) sufficiently small, the model does not contain a perfect matching with high probability, whereas for every α< 1/2 and ν=ν(α) sufficiently large, the model contains a Hamilton cycle with high probability.