The evolution of the cover time
Martin T. Barlow, Jian Ding, Asaf Nachmias, Yuval Peres

TL;DR
This paper refines bounds on the cover time of graphs, providing explicit calculations for random graphs and other structures, and explores how cover time evolves across different phases and graph modifications.
Contribution
It improves the approximation bounds for cover time, explicitly computes these bounds for various random and structured graphs, and analyzes the impact of adding edges.
Findings
Refined upper bounds for cover time that are sharp and explicitly computable.
Determined the order of cover time for critical Erdős-Rényi graphs and other graph classes.
Showed that adding an edge can increase cover time by at most a factor of 4.
Abstract
The cover time of a graph is a celebrated example of a parameter that is easy to approximate using a randomized algorithm, but for which no constant factor deterministic polynomial time approximation is known. A breakthrough due to Kahn, Kim, Lovasz and Vu yielded a (log log n)^2 polynomial time approximation. We refine this upper bound, and show that the resulting bound is sharp and explicitly computable in random graphs. Cooper and Frieze showed that the cover time of the largest component of the Erdos-Renyi random graph G(n,c/n) in the supercritical regime with c>1 fixed, is asymptotic to f(c) n \log^2 n, where f(c) tends to 1 as c tends to 1. However, our new bound implies that the cover time for the critical Erdos-Renyi random graph G(n,1/n) has order n, and shows how the cover time evolves from the critical window to the supercritical phase. Our general estimate also yields the…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Markov Chains and Monte Carlo Methods · Nanocluster Synthesis and Applications
