Cutoff on Trees is Rare
Nina Gantert (),
Evita Nestoridi () and
Dominik Schmid ()
Additional contact information
Nina Gantert: Technical University of Munich
Evita Nestoridi: Stony Brook University
Dominik Schmid: University of Bonn
Journal of Theoretical Probability, 2024, vol. 37, issue 2, 1417-1444
Abstract:
Abstract We study the simple random walk on trees and give estimates on the mixing and relaxation times. Relying on a seminal result by Basu, Hermon and Peres characterizing cutoff on trees, we give geometric criteria that are easy to verify and allow to determine whether the cutoff phenomenon occurs. We provide a general characterization of families of trees with cutoff, and show how our criteria can be used to prove the absence of cutoff for several classes of trees, including spherically symmetric trees, Galton–Watson trees of a fixed height, and sequences of random trees converging to the Brownian continuum random tree.
Keywords: Random walk; Spectral gap; Mixing time; Cutoff phenomenon; 60J27; 60K37 (search for similar items in EconPapers)
Date: 2024
References: Add references at CitEc
Citations:
Downloads: (external link)
http://link.springer.com/10.1007/s10959-023-01274-5 Abstract (text/html)
Access to the full text of the articles in this series is restricted.
Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.
Export reference: BibTeX
RIS (EndNote, ProCite, RefMan)
HTML/Text
Persistent link: https://EconPapers.repec.org/RePEc:spr:jotpro:v:37:y:2024:i:2:d:10.1007_s10959-023-01274-5
Ordering information: This journal article can be ordered from
https://www.springer.com/journal/10959
DOI: 10.1007/s10959-023-01274-5
Access Statistics for this article
Journal of Theoretical Probability is currently edited by Andrea Monica
More articles in Journal of Theoretical Probability from Springer
Bibliographic data for series maintained by Sonal Shukla () and Springer Nature Abstracting and Indexing ().