Rare Events, Extremely Rare Events and Fluctuations in a Thermodynamic System
P.J. Malsom, F.J. Pinski

TL;DR
This paper investigates the paths of particles in thermodynamic systems using a Metropolis algorithm to derive an Onsager-Machlup-like functional, revealing issues with continuous-time limits and thermodynamic consistency.
Contribution
It introduces a Metropolis-based derivation of the Onsager-Machlup functional and analyzes the thermodynamic inconsistencies in the continuous-time limit.
Findings
Sampling the Ito-Girsanov limit produces unphysical paths.
Unphysical effects stem from correlations violating thermodynamics.
The study highlights limitations of the continuous-time approach in thermodynamic path sampling.
Abstract
In this paper, we follow in the footsteps of Onsager and Machlup (OM) and consider diffusion-like paths that are explored by a particle moving via a conservative force while being in thermal equilibrium with its surroundings. Instead of considering diffusion (Brownian dynamics), we use a Metropolis algorithm to derive an OM-like functional. Through the lens of the Metropolis algorithm, we are able to elucidate the errors made when using a nonzero time increment. Of particular interest are transition paths that transverse an energy barrier that is large (but not too large) compared to the typical thermal energy. These transitions have probabilities that are only small and yet not so small as to be considered a violation of thermodynamics. As such, we turn our attention to the "double-ended" problem, where the OM functional can be interpreted as a "thermodynamic" action and employed to…
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 · Complex Systems and Time Series Analysis
