Variational principle for random pressure function

Abstract

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.

35 pages. The present work covers the previous results presented in the preprint [arXiv:2210.13126], and A. Biś, M. Carvalho, M. Mendes and P. Varandas, A convex analysis approach to entropy functions, variational principles and equilibrium states, Comm. Math. Phys. 394 (2022), 215-256