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Mixing time of the Chung–Diaconis–Graham random process

  • Sean Eberhard
  • , Péter P. Varjú*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

Define (Xn) on Z/ qZ by Xn+1= 2 Xn+ bn, where the steps bn are chosen independently at random from - 1 , 0 , + 1. The mixing time of this random walk is known to be at most 1.02 log 2q for almost all odd q (Chung, Diaconis, Graham in Ann Probab 15(3):1148–1165, 1987), and at least 1.004 log 2q (Hildebrand in Proc Am Math Soc 137(4):1479–1487, 2009). We identify a constant c= 1.01136 ⋯ such that the mixing time is (c+ o(1)) log 2q for almost all odd q. In general, the mixing time of the Markov chain Xn+1= aXn+ bn modulo q, where a is a fixed positive integer and the steps bn are i.i.d. with some given distribution in Z, is related to the entropy of a corresponding self-similar Cantor-like measure (such as a Bernoulli convolution). We estimate the mixing time up to a 1 + o(1) factor whenever the entropy exceeds (log a) / 2.

Original languageEnglish
Pages (from-to)317-344
Number of pages28
JournalProbability Theory and Related Fields
Volume179
Issue number1-2
Early online date10 Oct 2020
DOIs
Publication statusPublished - Feb 2021
Externally publishedYes

Bibliographical note

Funding Information:
Sean Eberhard and Péter P. Varjú have received funding from the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (Grant Agreement No. 803711). PV was supported by the Royal Society.

Publisher Copyright:
© 2020, Springer-Verlag GmbH Germany, part of Springer Nature.

ASJC Scopus subject areas

  • Analysis
  • Statistics and Probability
  • Statistics, Probability and Uncertainty

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