Mesoscopic and Macroscopic Entropy Balance Equations in a Stochastic Dynamics and Its Deterministic Limit
Hong Qian, Zhongwei Shen

TL;DR
This paper derives and compares mesoscopic and macroscopic entropy balance equations in stochastic and deterministic dynamical systems, revealing how entropy behavior transitions in the limit of large system size.
Contribution
It introduces two distinct entropy balance equations for stochastic dynamics and shows their convergence to a deterministic form as system size increases.
Findings
Two different entropy balance equations are derived for stochastic systems.
In the large system limit, the equations converge to a deterministic entropy rate.
The deterministic limit relates to volume-preserving dynamics and entropy production.
Abstract
Entropy, its production, and its change in a dynamical system can be understood from either a fully stochastic dynamic description or from a deterministic dynamics exhibiting chaotic behavior. By taking the former approach based on the general diffusion process with diffusion and drift , where represents the ``size parameter'' of a system, we show that there are two distinctly different entropy balance equations. One reads for all . However, the leading -order, ``extensive'', terms of the entropy production rate and heat exchange rate are exactly cancelled. Therefore, in the asymptotic limit of , there is a second, local ${\rm d} S/{\rm d} t = \nabla\cdot{\bf b}({\bf x}(t))+\left({\bf D}:{\bf…
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
TopicsStochastic processes and financial applications · Advanced Thermodynamics and Statistical Mechanics
