Stochastic Perturbations of Convex Billiards
Roberto Markarian, Leonardo T. Rolla, Vladas Sidoravicius, Fabio A., Tal, Maria E. Vares

TL;DR
This paper studies how random perturbations in the reflection angles of a convex billiard table affect the system's long-term behavior, proving conditions for ergodicity in the resulting stochastic process.
Contribution
It introduces a model of stochastic billiards with boundary perturbations and establishes uniform ergodicity for a broad class of these perturbations.
Findings
Markov chain is uniformly ergodic under certain perturbations
Ergodicity does not hold universally for all perturbation types
Provides conditions under which stochastic billiards mix rapidly
Abstract
We consider a strictly convex billiard table with boundary, with the dynamics subjected to random perturbations. Each time the billiard ball hits the boundary its reflection angle has a random perturbation. The perturbation distribution corresponds to the physical situation where either the scale of the surface irregularities is smaller than but comparable to the diameter of the reflected object, or the billiard ball is not perfectly rigid. We prove that for a large class of such perturbations the resulting Markov chain is uniformly ergodic, although this is not true in general.
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