arXiv Analytics

Sign in

arXiv:2211.00835 [math.CO]AbstractReferencesReviewsResources

The degree-restricted random process is far from uniform

Michael Molloy, Erlang Surya, Lutz Warnke

Published 2022-11-02Version 1

The degree-restricted random process is a natural algorithmic model for generating graphs with degree sequence D_n=(d_1, \ldots, d_n): starting with an empty n-vertex graph, it sequentially adds new random edges so that the degree of each vertex v_i remains at most d_i. Wormald conjectured in 1999 that, for d-regular degree sequences D_n, the final graph of this process is similar to a uniform random d-regular graph. In this paper we show that, for degree sequences D_n that are not nearly regular, the final graph of the degree-restricted random process differs substantially from a uniform random graph with degree sequence D_n. The combinatorial proof technique is our main conceptual contribution: we adapt the switching method to the degree-restricted process, demonstrating that this enumeration technique can also be used to analyze stochastic processes (rather than just uniform random models, as before).

Related articles: Most relevant | Search more
arXiv:2303.08339 [math.CO] (Published 2023-03-15)
Large induced subgraphs of random graphs with given degree sequences
arXiv:1406.1142 [math.CO] (Published 2014-06-04)
Cover time of a random graph with a degree sequence II: Allowing vertices of degree two
arXiv:0707.1786 [math.CO] (Published 2007-07-12)
A new approach to the giant component problem