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Reaching consensus on a connected graph

Part of: Stochastic processes Special processes

Published online by Cambridge University Press:  04 April 2017

John Haslegrave  and
Mate Puljiz
John Haslegrave*
Affiliation:
University of Sheffield
Mate Puljiz*
Affiliation:
University of Birmingham
*
* Current address: Mathematics Institute, Zeeman Building, University of Warwick, CoventryCV4 7AL, UK. Email address: j.haslegrave@warwick.ac.uk
** Postal address: School of Mathematics,, University of Birmingham, BirminghamB15 2TT, UK.
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Abstract

We study a simple random process in which vertices of a connected graph reach consensus through pairwise interactions. We compute outcome probabilities, which do not depend on the graph structure, and consider the expected time until a consensus is reached. In some cases we are able to show that this is minimised by K n . We prove an upper bound for the p=0 case and give a family of graphs which asymptotically achieve this bound. In order to obtain the mean of the waiting time we also study a gambler's ruin process with delays. We give the mean absorption time and prove that it monotonically increases with p∈[0,1∕2] for symmetric delays.

Keywords

Stabilisation timerandom walkcoupon collectorvoter model

MSC classification

Primary: 60G40: Stopping times; optimal stopping problems; gambling theory
Secondary: 60G50: Sums of independent random variables; random walks 60K35: Interacting random processes; statistical mechanics type models; percolation theory

Information

Type
Research Papers
Information
Journal of Applied Probability , Volume 54 , Issue 1 , March 2017 , pp. 181 - 198
Copyright
Copyright © Applied Probability Trust 2017 

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