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Entropy dimension for deterministic walks in random sceneries

Part of: Measure-theoretic ergodic theory Ergodic theory

Published online by Cambridge University Press:  29 April 2021

DOU DOU  and
KYEWON KOH PARK
DOU DOU*
Affiliation:
Department of Mathematics, Nanjing University, Nanjing, Jiangsu 210093, P.R. China
KYEWON KOH PARK
Affiliation:
Center for Mathematical Challenges, Korea Institute for Advanced Study, Seoul 130-722, Korea (e-mail: kkpark@kias.re.kr)
*
e-mail: doumath@163.com
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Abstract

Entropy dimension is an entropy-type quantity which takes values in $[0,1]$ and classifies different levels of intermediate growth rate of complexity for dynamical systems. In this paper, we consider the complexity of skew products of irrational rotations with Bernoulli systems, which can be viewed as deterministic walks in random sceneries, and show that this class of models can have any given entropy dimension by choosing suitable rotations for the base system.

Keywords

complexitydeterministic walkentropy dimensionsub-exponential growth

MSC classification

Primary: 37A35: Entropy and other invariants, isomorphism, classification
Secondary: 37A05: Measure-preserving transformations 28D20: Entropy and other invariants

Information

Type
Original Article
Information
Ergodic Theory and Dynamical Systems , Volume 42 , Issue 6 , June 2022 , pp. 1908 - 1925
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Copyright
© The Author(s), 2021. Published by Cambridge University Press

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