Computing the optimal protocol for finite-time processes in stochastic thermodynamics

dc.creatorThen, Holger
dc.creatorEngel, Andreas
dc.date2007-10-17
dc.date2008-01-19
dc.date.accessioned2026-07-07T09:31:54Z
dc.date.available2026-07-07T09:31:54Z
dc.descriptionAsking for the optimal protocol of an external control parameter that minimizes the mean work required to drive a nano-scale system from one equilibrium state to another in finite time, Schmiedl and Seifert ({\it Phys. Rev. Lett.} {\bf 98}, 108301 (2007)) found the Euler-Lagrange equation to be a non-local integro-differential equation of correlation functions. For two linear examples, we show how this integro-differential equation can be solved analytically. For non-linear physical systems we show how the optimal protocol can be found numerically and demonstrate that there may exist several distinct optimal protocols simultaneously, and we present optimal protocols that have one, two, and three jumps, respectively.
dc.description8 pages, 8 figures
dc.identifierhttps://arxiv.org/abs/0710.3297
dc.identifierhttp://arxiv.org/abs/0710.3297
dc.identifierPhys. Rev. E 77, 041105 (2008)
dc.identifierdoi:10.1103/PhysRevE.77.041105
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/158621
dc.subjectStatistical Mechanics
dc.titleComputing the optimal protocol for finite-time processes in stochastic thermodynamics
dc.typetext

Files

Collections