Skip to main content

Research Repository

Advanced Search

Ergodicity of Sublinear Markovian Semigroups

Feng, Chunrong; Zhao, Huaizhong

Ergodicity of Sublinear Markovian Semigroups Thumbnail


Authors



Abstract

In this paper, we study the ergodicity of invariant sublinear expectation of sublinear Markovian semigroup. For this, we first develop an ergodic theory of an expectation-preserving map on a sublinear expectation space. Ergodicity is defined as any invariant set either has 0 capacity itself or its complement has 0 capacity. We prove, under a general sublinear expectation space setting, the equivalent relation between ergodicity and the corresponding transformation operator having simple eigenvalue 1, and also with Birkhoff type strong law of large numbers if the sublinear expectation is regular. For sublinear Markov process, we prove that its ergodicity is equivalent to the Markovian semigroup having eigenvalue 1 and it is simple in the space of bounded measurable functions. As an example we show that G-Brownian motion {Bt}t≥0 on the unit circle has an invariant expectation and is ergodic if and only if E(−(B1) 2) < 0. Moreover, it is also proved in this case that the invariant expectation is regular and the canonical stationary process has no mean-uncertainty under the invariant expectation.

Citation

Feng, C., & Zhao, H. (2021). Ergodicity of Sublinear Markovian Semigroups. SIAM Journal on Mathematical Analysis, 53(5), 5646-5681. https://doi.org/10.1137/20m1356518

Journal Article Type Article
Acceptance Date Jul 6, 2021
Online Publication Date Oct 5, 2021
Publication Date 2021
Deposit Date Jul 29, 2021
Publicly Available Date Oct 7, 2021
Journal SIAM Journal on Mathematical Analysis
Print ISSN 0036-1410
Publisher Society for Industrial and Applied Mathematics
Peer Reviewed Peer Reviewed
Volume 53
Issue 5
Pages 5646-5681
DOI https://doi.org/10.1137/20m1356518
Public URL https://durham-repository.worktribe.com/output/1244018

Files

Published Journal Article (517 Kb)
PDF

Copyright Statement
Copyright © by SIAM. Unauthorized reproduction of this article is prohibited





You might also like



Downloadable Citations