Berlin 2024 – scientific programme

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DY: Fachverband Dynamik und Statistische Physik

DY 31: Poster: Statistical Physics

DY 31.10: Poster

Wednesday, March 20, 2024, 15:00–18:00, Poster C

Inference of entropy production beyond the mean — •Julius Degünther, Jann van der Meer, and Udo Seifert — II. Institut für Theoretische Physik, Universität Stuttgart, 70550 Stuttgart, Germany

The laws of thermodynamics apply to biophysical systems on the nanoscale as described by the framework of stochastic thermodynamics. The theory provides universal, exact relations for quantities like heat or work, which have been verified for experiments where these quantities as well as the system are accessible. Complementary studies in the field consider partially hidden, coarse-grained descriptions, in which the mean entropy production typically is bounded in terms of observable quantities. In contrast, we discuss a fluctuating entropy production that applies to individual trajectories in a coarse-grained description under time-dependent driving. Thus, the concept is applicable to the broad and experimentally significant class of model systems subject to time-dependent driving in which not all relevant states can be resolved.

Keywords: coarse graining; entropy production; thermodynamic inference; single-molecule experiments