Asymptotic stability and cut-off phenomenon for the underdamped Langevin dynamics
Seungwoo Lee, Mouad Ramil, Insuk Seo

TL;DR
This paper analyzes the long-term behavior of underdamped Langevin dynamics, establishing conditions for convergence, identifying a cut-off phenomenon in small-noise regimes, and developing new methods for non-elliptic generators.
Contribution
It provides the first detailed analysis of the cut-off phenomenon for underdamped Langevin dynamics with new techniques for degenerate generators.
Findings
Necessary condition for convergence to attractor
Sharpness of the condition for linear models
Proof of the cut-off phenomenon in small-noise regime
Abstract
In this article, we provide detailed analysis of the long-time behavior of the underdamped Langevin dynamics. We first provide a necessary condition guaranteeing that the zero-noise dynamical system converges to its unique attractor. We also observed that this condition is sharp for a large class of linear models. We then prove the so-called cut-off phenomenon in the small-noise regime under this condition. This result provides the precise asymptotics of the mixing time of the process and of the distance between the distribution of the process and its stationary measure. The main difficulty of this work relies on the degeneracy of its infinitesimal generator which is not elliptic, thus requiring a new set of methods.
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Taxonomy
TopicsMarkov Chains and Monte Carlo Methods · Advanced MRI Techniques and Applications · Neural dynamics and brain function
