Variational principles of metric mean dimension for random dynamical systems
Abstract In this paper, we establish variational principles for the metric mean dimension of random dynamical systems with infinite topological entropy. This is based on four types of measure-theoretic ϵ -entropies: Kolmogorov-Sinai ϵ -entropy, Shapira’s ϵ -entropy, Katok’s ϵ -entropy and Brin–Katok local ϵ -entropy. The variational principle, as a fundamental theorem, links topological dynamics and ergodic theory.
Authors
- Ercai Chen (ORCID: https://orcid.org/0000-0002-2600-7548)
- Kexiang Yang (ORCID: https://orcid.org/0009-0003-2920-8729)
- Yunping Wang (ORCID: https://orcid.org/0009-0002-8157-8287)
Institutions
- Nanjing Normal University (CN)
- Ningbo University of Technology (CN)
- Fudan University (CN)
Publication Details
- Journal
- Proceedings of the Edinburgh Mathematical Society
- Published
- 2025-09-18
- DOI
- https://doi.org/10.1017/s0013091525100990
- Primary Topic
- Mathematical Dynamics and Fractals
- Type
- article
- Field-Weighted Citation Impact
- 0.00