Title
The flip Markov chain for connected regular graphs.
Abstract
Mahlmann and Schindelhauer (2005) defined a Markov chain which they called k-Flipper, and showed that it is irreducible on the set of all connected regular graphs of a given degree (at least 3). We study the 1-Flipper chain, which we call the flip chain, and prove that the flip chain converges rapidly to the uniform distribution over connected 2r-regular graphs with n vertices, where n≥8 and r=r(n)≥2. Formally, we prove that the distribution of the flip chain will be within ε of uniform in total variation distance after poly(n,r,log(ε−1)) steps. This polynomial upper bound on the mixing time is given explicitly, and improves markedly on a previous bound given by Feder et al. (2006). We achieve this improvement by using a direct two-stage canonical path construction, which we define in a general setting.
Year
DOI
Venue
2017
10.1016/j.dam.2018.06.019
Discrete Applied Mathematics
Keywords
Field
DocType
Markov chain,Graph,Connected graph,Regular graph
Total variation,Graph,Discrete mathematics,Combinatorics,Flip,Polynomial,Vertex (geometry),Upper and lower bounds,Markov chain,Uniform distribution (continuous),Mathematics
Journal
Volume
ISSN
Citations 
254
0166-218X
0
PageRank 
References 
Authors
0.34
5
4
Name
Order
Citations
PageRank
Colin Cooper128730.73
Martin E. Dyer2529116.66
Catherine Greenhill362862.40
Andrew J. Handley4111.41