Strong Positive recurrence for potential and exponential mixing of equilibrium states of surface diffeomorphisms
Chiyi Luo, Dawei Yang
TL;DR
The article advances the theory of strong positive recurrence SPR for Hölder potentials on $C^{\infty}$ surface diffeomorphisms with positive entropy, extending the SPR framework to a wide class of potentials and establishing robust statistical properties for the associated equilibrium states. By combining Pesin theory with homoclinic class analysis and symbolic coding, it proves the existence, ergodicity, and Lyapunov regularity of equilibrium states, then derives exponential mixing and effective intrinsic ergodicity via SPR on Markov shifts and their finite-to-one codings. The work provides explicit SPR criteria under entropy and variance bounds, and shows how SPR on Borel homoclinic classes yields exponential tails, stability, and quantitative convergence estimates for observables and Lyapunov exponents. Overall, the results offer a comprehensive, quantitative framework for the statistical behavior of equilibrium states of surface diffeomorphisms beyond uniform hyperbolicity, with potential applications to flows and a broader class of dynamical systems. The methods synthesize Pesin theory, homoclinic class structure, and countable Markov shifts to deliver precise control over correlations, entropy, and ergodic decomposition.
Abstract
In this paper, we study the strong positive recurrence property for a large class of potentials of $C^{\infty}$ surface diffeomorphisms with positive entropy. We establish several statistical properties of the corresponding equilibrium states, including exponential decay of correlations and effective intrinsic ergodicity.
