Skip to main content

Research Repository

Advanced Search

A sufficient and necessary condition of PS-ergodicity of periodic measures and generated ergodic upper expectations

Feng, Chunrong; Qu, Baoyou; Zhao, Huaizhong

A sufficient and necessary condition of PS-ergodicity of periodic measures and generated ergodic upper expectations Thumbnail


Authors

Baoyou Qu



Abstract

This paper contains two parts. In the first part, we study the ergodicity of periodic measures of random dynamical systems on a separable Banach space. We obtain that the periodic measure of the continuous time skew-product dynamical system generated by a random periodic path is ergodic if and only if the underlying noise metric dynamical system at discrete time of integral multiples of the period is ergodic. For the Markov random dynamical system case, we prove that the periodic measure of a Markov semigroup is PS-ergodic if and only if the trace of the random periodic path at integral multiples of period either entirely lies on a Poincaré section or completely outside a Poincaré section almost surely. In the second part of this paper, we construct sublinear expectations from periodic measures and obtain the ergodicity of the sublinear expectations from the ergodicity of periodic measures. We give some examples including the ergodicity of the discrete time Wiener shift of Brownian motions. The latter result would have some independent interests.

Citation

Feng, C., Qu, B., & Zhao, H. (2020). A sufficient and necessary condition of PS-ergodicity of periodic measures and generated ergodic upper expectations. Nonlinearity, 33(10), https://doi.org/10.1088/1361-6544/ab9584

Journal Article Type Article
Acceptance Date May 21, 2020
Online Publication Date Sep 1, 2020
Publication Date 2020-10
Deposit Date Oct 7, 2020
Publicly Available Date Oct 7, 2020
Journal Nonlinearity
Print ISSN 0951-7715
Electronic ISSN 1361-6544
Publisher IOP Publishing
Peer Reviewed Peer Reviewed
Volume 33
Issue 10
DOI https://doi.org/10.1088/1361-6544/ab9584
Public URL https://durham-repository.worktribe.com/output/1290605

Files

Published Journal Article (766 Kb)
PDF

Publisher Licence URL
http://creativecommons.org/licenses/by/4.0/

Copyright Statement
Original content from this work may be used under the terms of the Creative Commons Attribution 3.0 licence. Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI.





You might also like



Downloadable Citations