Berlin 2024 – wissenschaftliches Programm
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DY: Fachverband Dynamik und Statistische Physik
DY 23: Stochastic Thermodynamics
DY 23.5: Vortrag
Mittwoch, 20. März 2024, 10:30–10:45, BH-N 128
Thermodynamic cost of stochastic resetting — •Kristian S. Olsen1, Deepak Gupta2, Francesco Mori3, and Supriya Krishnamurthy4 — 1Institut für Theoretische Physik II - Weiche Materie, Heinrich-Heine-Universität Düsseldorf, Germany — 2Nordita, Royal Institute of Technology and Stockholm University, Sweden — 3Rudolf Peierls Centre for Theoretical Physics, University of Oxford, Oxford, United Kingdom — 4Department of Physics, Stockholm University, Sweden
Stochastic resetting gives rise to non-equilibrium steady states, and is known to appear in a wide range of both natural and man-made systems. Recent experiments have implemented resetting by means of an external trap, whereby a particle relaxes to the minimum of the trap and as such is reset in a finite time. Here we present a framework able to fully characterise the thermodynamic work of such resetting protocols. Our results are valid for a wide range of system, with the only assumption being that of relaxation to equilibrium in the resetting trap. Optimal trap shapes that minimise the work are studied for the case of Brownian motion.
Keywords: Stochastic resetting; Stochastic thermodynamics