Thermodynamic uncertainty relation for Langevin dynamics by scaling time
Rueih-Sheng Fu, Todd R. Gingrich

TL;DR
This paper introduces a unified large deviation theory approach to derive thermodynamic uncertainty relations for both overdamped and underdamped Langevin dynamics by scaling time, providing new insights into current fluctuation bounds.
Contribution
It offers a novel, unified large deviation framework for TUR bounds applicable to both overdamped and underdamped Langevin systems, expanding beyond previous information-theoretic methods.
Findings
Derived TUR-like bounds for Langevin dynamics using large deviation theory.
Unified treatment applicable to both overdamped and underdamped cases.
Results are similar to known bounds but with new rationalizations.
Abstract
The thermodynamic uncertainty relation (TUR) quantifies a relationship between current fluctuations and dissipation in out-of-equilibrium overdamped Langevin dynamics, making it a natural counterpart of the fluctuation-dissipation theorem in equilibrium statistical mechanics. For underdamped Langevin dynamics, the situation is known to be more complicated, with dynamical activity also playing a role in limiting the magnitude of current fluctuations. Progress on those underdamped TUR-like bounds has largely come from applications of the information-theoretic Cram\'er-Rao inequality. Here, we present an alternative perspective by employing large deviation theory. The approach offers a general, unified treatment of TUR-like bounds for both overdamped and underdamped Langevin dynamics built upon current fluctuations achieved by scaling time. The bounds we derive following this approach are…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Thermodynamics and Statistical Mechanics · Statistical Mechanics and Entropy · stochastic dynamics and bifurcation
