Regensburg 2022 – wissenschaftliches Programm

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DY: Fachverband Dynamik und Statistische Physik

DY 24: Stochastic Thermodynamics and Information Processing

DY 24.3: Vortrag

Mittwoch, 7. September 2022, 10:15–10:30, H19

Optimality of nonconservative driving for finite-time processes with discrete states — •Benedikt Remlein and Udo Seifert — II. Institut für Theoretische Physik, Universität Stuttgart, 70550 Stuttgart, Germany

An optimal finite-time process drives a given initial distribution to a given final one in a given time at the lowest cost as quantified by total entropy production. We prove that for a system with discrete states this optimal process involves nonconservative driving, i.e., a genuine driving affinity, in contrast to the case of a system with continuous states. In a multicyclic network, the optimal driving affinity is bounded by the number of states within each cycle. If the driving affects forward and backwards rates nonsymmetrically, the bound additionally depends on a structural parameter characterizing this asymmetry [1]. [1] B. Remlein and U. Seifert, Phys. Rev. E 103, L050105 (2021)