2017
DOI: 10.48550/arxiv.1702.05452
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Random walks on Ramanujan complexes and digraphs

Eyal Lubetzky,
Alex Lubotzky,
Ori Parzanchevski

Abstract: The cutoff phenomenon was recently confirmed for random walks on Ramanujan graphs by the first author and Peres. In this work, we obtain analogs in higher dimensions, for random walk operators on any Ramanujan complex associated with a simple group G over a local field F . We show that if T is any k-regular G-equivariant operator on the Bruhat-Tits building with a simple combinatorial property (collision-free), the associated random walk on the n-vertex Ramanujan complex has cutoff at time log k n. The high di… Show more

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Cited by 10 publications
(41 citation statements)
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“…In higher dimension, NBRW is not collision-free anymore, but in [LLP17, §5.1] it is shown that collision-free walks do exist, on cells of every dimension, except for vertices. As SRW is not collision-free, the techniques of [LLP17] cannot address it (in fact, they cannot address any operator on vertices -see [Par19, Rem. 3.5(b)]).…”
Section: Theorem ([Llp17]mentioning
confidence: 99%
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“…In higher dimension, NBRW is not collision-free anymore, but in [LLP17, §5.1] it is shown that collision-free walks do exist, on cells of every dimension, except for vertices. As SRW is not collision-free, the techniques of [LLP17] cannot address it (in fact, they cannot address any operator on vertices -see [Par19, Rem. 3.5(b)]).…”
Section: Theorem ([Llp17]mentioning
confidence: 99%
“…Most notably, it was shown by Lubetzky and Peres that Ramanujan graphs exhibit SRW cutoff [LP16], and a main ingredient of the proof is to show first that non-backtracking random walk (NBRW) on these graphs exhibits cutoff at an optimal time. The last assertion was generalized in [LLP17] to the context of Ramanujan complexes, which are high-dimensional analogues of Ramanujan graphs defined in [Li04,LSV05a]. In the paper [LLP17], Lubetzky, Lubotzky and the second author establish optimal-time cutoff for a large family of asymmetric random walks on the cells of these complexes (in the graph case, NBRW is an asymmetric walk on edges).…”
Section: Introductionmentioning
confidence: 97%
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