Worst-case mixing estimates for Brownian motion with semipermeable barriers
Alexander Van Werde, Jaron Sanders

TL;DR
This paper analyzes the mixing times of Brownian motion constrained by semipermeable barriers in planar domains, providing bounds that decay exponentially with domain size, highlighting the worst-case behavior.
Contribution
It establishes exponential bounds on mixing times and stationary distribution lower bounds for Brownian motion with barriers, a novel analysis of worst-case mixing behavior.
Findings
Upper bound on mixing time in terms of geometric parameters
Lower bound on stationary distribution in worst-case scenarios
Exponential decay of bounds as domain size increases
Abstract
We study the mixing properties of a Brownian motion whose movements are hindered by semipermeable barriers. Our setting assumes that the process takes values in a smooth planar domain and that the barriers are one-dimensional closed curves. We establish an upper bound on the mixing time and a lower bound on the stationary distribution in terms of geometric parameters. These worst-case bounds decay at an exponential rate as the domain grows large, and we give examples that show that exponential decay is necessary in our worst-case setting.
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Taxonomy
TopicsMathematical Dynamics and Fractals · Markov Chains and Monte Carlo Methods · Stochastic processes and statistical mechanics
