Variational principle for random pressure function

Fuente: arXiv
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Autores principales: Yang, Rui, Chen, Ercai, Zhou, Xiaoyao
Formato: Preprint
Publicado: 2022
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author Yang, Rui
Chen, Ercai
Zhou, Xiaoyao
author_facet Yang, Rui
Chen, Ercai
Zhou, Xiaoyao
contents For random dynamical systems, by summarizing the fundamental properties of Kifer's topological pressure we introduce the concept of random pressure functions, and define Ruelle's metric entropy for invariant measures. Employing the techniques from convex analysis and ergodic theory, we establish a variational principle for random pressure functions. Consequently, this new variational principle allows us to establish a vital bridge between ergodic theory and topological dynamics. In particular, the variational principles for polynomial topological entropy in zero entropy systems, mean dimensions in infinite entropy systems, and preimage entropy-like quantities in non-invertible dynamical systems are obtained.
format Preprint
id arxiv_https___arxiv_org_abs_2210_13126
institution arXiv
publishDate 2022
record_format arxiv
spellingShingle Variational principle for random pressure function
Yang, Rui
Chen, Ercai
Zhou, Xiaoyao
Dynamical Systems
For random dynamical systems, by summarizing the fundamental properties of Kifer's topological pressure we introduce the concept of random pressure functions, and define Ruelle's metric entropy for invariant measures. Employing the techniques from convex analysis and ergodic theory, we establish a variational principle for random pressure functions. Consequently, this new variational principle allows us to establish a vital bridge between ergodic theory and topological dynamics. In particular, the variational principles for polynomial topological entropy in zero entropy systems, mean dimensions in infinite entropy systems, and preimage entropy-like quantities in non-invertible dynamical systems are obtained.
title Variational principle for random pressure function
topic Dynamical Systems
url https://arxiv.org/abs/2210.13126