Overdamped limit at stationarity for non-equilibrium Langevin diffusions
Pierre Monmarch\'e, Mouad Ramil

TL;DR
This paper proves that in the overdamped limit, the stationary distribution of non-equilibrium Langevin diffusions converges to a product of the overdamped stationary distribution and a Gaussian, clarifying the limiting behavior as damping increases.
Contribution
It establishes the convergence of stationary distributions of Langevin diffusions to a tensor product form in the high damping limit, extending understanding of non-equilibrium systems.
Findings
Stationary distribution converges to a tensor product in the overdamped limit.
The limiting distribution combines the overdamped stationary distribution and a Gaussian.
Results apply to possibly non-equilibrium Langevin diffusions.
Abstract
In this note, we establish that the stationary distribution of a possibly non-equilibrium Langevin diffusion converges, as the damping parameter goes to infinity (or equivalently in the Smoluchowski-Kramers vanishing mass limit), toward a tensor product of the stationary distribution of the corresponding overdamped process and of a Gaussian distribution.
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Taxonomy
TopicsStochastic processes and statistical mechanics · Mathematical Biology Tumor Growth · Bayesian Methods and Mixture Models
