On coalescence time in graphs--When is coalescing as fast as meeting?
Varun Kanade, Frederik Mallmann-Trenn, Thomas Sauerwald

TL;DR
This paper provides tight bounds on coalescence times for various graphs, linking it to meeting and mixing times, and resolves longstanding conjectures, with implications for voter models and consensus processes.
Contribution
It introduces a toolkit for bounding coalescence times, proves they match meeting times under certain conditions, and resolves a conjecture for almost-regular graphs.
Findings
Coalescence time equals meeting time for graphs with small meeting-to-mixing time ratio.
Bound of O(n^3) for coalescence time, tight for Barbell graph.
Improved bounds on hitting and cover times for regular graphs.
Abstract
Coalescing random walks is a fundamental stochastic process, where a set of particles perform independent discrete-time random walks on an undirected graph. Whenever two or more particles meet at a given node, they merge and continue as a single random walk. The coalescence time is defined as the expected time until only one particle remains, starting from one particle at every node. Despite recent progress the coalescence time for graphs such as binary trees, d-dimensional tori, hypercubes and more generally, vertex-transitive graphs, remains unresolved. We provide a powerful toolkit that results in tight bounds for various topologies including the aforementioned ones. The meeting time is defined as the worst-case expected time required for two random walks to arrive at the same node at the same time. As a general result, we establish that for graphs whose meeting time is only…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Distributed systems and fault tolerance · Markov Chains and Monte Carlo Methods
