Expanding on average diffeomorphisms of surfaces: exponential mixing
Jonathan DeWitt, Dmitry Dolgopyat

TL;DR
This paper proves that certain random dynamical systems on surfaces, built from volume-preserving diffeomorphisms, exhibit exponential mixing, indicating rapid statistical independence over time.
Contribution
It establishes exponential mixing for Bernoulli random dynamical systems generated by expanding on average volume-preserving surface diffeomorphisms, extending understanding of their statistical properties.
Findings
Proves exponential mixing for the considered systems.
Shows Bernoulli random dynamical systems are exponentially mixing.
Extends previous results to a broader class of surface diffeomorphisms.
Abstract
We show that the Bernoulli random dynamical system associated to a expanding on average tuple of volume preserving diffeomorphisms of a closed surface is exponentially mixing.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Mathematical Dynamics and Fractals
