A Class of Random Walks on the Hypercube

Andrea Collevecchio, Robert C. Griffiths

Research output: Chapter in Book/Report/Conference proceedingChapter (Book)Researchpeer-review

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Abstract

We introduce a general class of time inhomogeneous random walks on the N-hypercube. These random walks are reversible with an N-product Bernoulli stationary distribution and have a property of local change of coordinates in a transition. Several types of representations for the transition probabilities are found. The paper studies cut-off for the mixing time. We observe that for a sub-class of these processes with long range (i.e. non-local) there exists a critical value of the range that allows an almost-perfect mixing in at most two steps. That is, the total variation distance between the two steps transition and stationary distributions decreases to zero as the dimension of the hypercube N increases. Notice that a well-known result (Theorem 1 in [6]) shows that there does not exist a random walk on Abelian groups (such as the hypercube) which mixes perfectly in exactly two steps.

Original languageEnglish
Title of host publicationIn and Out of Equilibrium 3
Subtitle of host publicationCelebrating Vladas Sidoravicius
EditorsMaria Eulália Vares, Roberto Fernández, Luiz Renato Fontes, Charles M Newman
Place of PublicationCham Switzerland
PublisherSpringer
Chapter13
Pages265-298
Number of pages34
Volume77
ISBN (Electronic)9783030607548
ISBN (Print)9783030607531
DOIs
Publication statusPublished - 2021

Publication series

NameProgress in Probability
PublisherSpringer Nature
Volume77
ISSN (Print)1050-6977
ISSN (Electronic)2297-0428

Keywords

  • Hypercube
  • Markov chain
  • Mixing
  • Random walk

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