Stochastic Calculus for Pathwise Observables of Markov-Jump Processes: Unification of Diffusion and Jump Dynamics
Lars Torbj{\o}rn Stutzer, Cai Dieball, Alja\v{z} Godec

TL;DR
This paper develops a unified stochastic calculus framework for path-wise observables in Markov-jump processes, paralleling diffusion process theories, enabling comprehensive thermodynamic analysis of jump and diffusion dynamics.
Contribution
It introduces a complete stochastic calculus for jump processes, unifying diffusion and jump dynamics, and connects classical and quantum descriptions of thermal systems.
Findings
Formulated a Langevin equation for jump processes.
Established covariation structure for path-wise observables.
Unified diffusion and jump dynamics through continuum limit.
Abstract
Path-wise observables--functionals of stochastic trajectories--are at the heart of time-average statistical mechanics and are central to thermodynamic inequalities such as uncertainty relations, speed limits, and correlation-bounds. They provide a means of thermodynamic inference in the typical situation, when not all dissipative degrees of freedom in a system are experimentally accessible. So far, theories focusing on path-wise observables have been developing in two major directions, diffusion processes and Markov-jump dynamics, in a virtually disjoint manner. Moreover, even the respective results for diffusion and jump dynamics were derived with a patchwork of different approaches that are predominantly indirect. Stochastic calculus was recently shown to provide a direct approach to path-wise observables of diffusion processes, while a corresponding framework for jump dynamics…
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