Jarzynski Relation, Fluctuation Theorems, and Stochastic Thermodynamics for Non-Markovian Processes
Thomas Speck, Udo Seifert

TL;DR
This paper extends fundamental non-equilibrium thermodynamic relations, including the Jarzynski relation and Crooks relation, to non-Markovian stochastic processes with memory, broadening their applicability beyond Markovian systems.
Contribution
It provides a rigorous proof of the Jarzynski relation for non-Markovian processes with stationary states, and demonstrates how stochastic thermodynamics concepts apply to these systems.
Findings
Proves Jarzynski relation for non-Markovian processes with stationary states
Derives Crooks relation and fluctuation theorem for entropy production in non-Markovian dynamics
Establishes the applicability of stochastic thermodynamics to systems with memory
Abstract
We prove the Jarzynski relation for general stochastic processes including non-Markovian systems with memory. The only requirement for our proof is the existence of a stationary state, therefore excluding non-ergodic systems. We then show how the concepts of stochastic thermodynamics can be used to prove further exact non-equilibrium relations like the Crooks relation and the fluctuation theorem on entropy production for non-Markovian dynamics.
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.
