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RANDOM WALKS ON THE RANDOM GRAPH

Accepted version
Peer-reviewed

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Authors

Berestycki, Nathanael 
Lubetzky, Eyal 
Peres, Yuval 
Sly, Allan 

Abstract

We study random walks on the giant component of the Erdős–Rényi random graph G(n,p) where p=λ/n for λ>1 fixed. The mixing time from a worst starting point was shown by Fountoulakis and Reed, and independently by Benjamini, Kozma and Wormald, to have order log2n. We prove that starting from a uniform vertex (equivalently, from a fixed vertex conditioned to belong to the giant) both accelerates mixing to O(logn) and concentrates it (the cutoff phenomenon occurs): the typical mixing is at (νd)−1logn±(logn)1/2+o(1), where ν and d are the speed of random walk and dimension of harmonic measure on a Poisson(λ)-Galton–Watson tree. Analogous results are given for graphs with prescribed degree sequences, where cutoff is shown both for the simple and for the nonbacktracking random walk.

Description

Keywords

Random walks, random graphs, cutoff phenomenon, Markov chain mixing times

Journal Title

ANNALS OF PROBABILITY

Conference Name

Journal ISSN

0091-1798

Volume Title

46

Publisher

Project Euclid