Non-backtracking random walks mix faster

Noga Alon*, Itai Benjamini, Eyal Lubetzky, Sasha Sodin

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

119 Scopus citations

Abstract

We compute the mixing rate of a non-backtracking random walk on a regular expander. Using some properties of Chebyshev polynomials of the second kind, we show that this rate may be up to twice as fast as the mixing rate of the simple random walk. The closer the expander is to a Ramanujan graph, the higher the ratio between the above two mixing rates is. As an application, we show that if G is a high-girth regular expander on n vertices, then a typical non-backtracking random walk of length n on G does not visit a vertex more than (1 + o(1))log n/log log n times, and this result is tight. In this sense, the multi-set of visited vertices is analogous to the result of throwing n balls to n bins uniformly, in contrast to the simple random walk on G, which almost surely visits some vertex Ω(log n) times.

Original languageEnglish
Pages (from-to)585-603
Number of pages19
JournalCommunications in Contemporary Mathematics
Volume9
Issue number4
DOIs
StatePublished - Aug 2007

Funding

FundersFunder number
Charles Clore foundation
Hermann Minkowski Minerva Center for Geometry
USA-Israeli BSF
Israel Science Foundation
Tel Aviv University

    Keywords

    • Balls and bins
    • Expanders
    • Girth
    • Mixing rate
    • Non-backtracking random walks

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