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Mixing time bounds for edge flipping on regular graphs

Published online by Cambridge University Press:  26 April 2023

Yunus Emre Demirci*
Affiliation:
Queen’s University
Ümit Işlak*
Affiliation:
Boğaziçi University
Alperen Özdemir*
Affiliation:
Georgia Institute of Technology
*
*Postal address: Queen’s University, Department of Mathematics and Statistics, Kingston, Ontario, Canada. Email: 21yed@queensu.ca
**Postal address: Boğaziçi University, Department of Mathematics, Istanbul, Turkey. Email: umit.islak1@boun.edu.tr
***Postal address: Georgia Institute of Technology, School of Mathematics, Atlanta, GA, USA. Email: aozdemir6@gatech.edu

Abstract

An edge flipping is a non-reversible Markov chain on a given connected graph, as defined in Chung and Graham (2012). In the same paper, edge flipping eigenvalues and stationary distributions for some classes of graphs were identified. We further study edge flipping spectral properties to show a lower bound for the rate of convergence in the case of regular graphs. Moreover, we show by a coupling argument that a cutoff occurs at $\frac{1}{4} n \log n$ for the edge flipping on the complete graph.

Type
Original Article
Copyright
© The Author(s), 2023. Published by Cambridge University Press on behalf of Applied Probability Trust

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