主讲人：Ying-Jen Yang（华盛顿大学）

题目：Fundamental Roles of Kinetic Cycles in Stochastic Thermodynamics

时间：2021年07月10日上午10：00

会议ID:（腾讯会议）632 790 643

报告摘要：

Markov processes have a significant role in understanding many complex systems. Under such representation, all types of dynamics and physical transports are uniformly described by the probability flux in the phase space. Stochastic thermodynamics provides the probabilistic kinematics an energetic description by considering the probabilistic affinity, the thermodynamic force and the production of entropy. In equilibrium systems, the affinity is fully described by a scalar potential given by the entropy of the steady state. In non-equilibrium systems, the affinity has an additional part corresponding to the nonzero stationary flux at the non-equilibrium steady state (NESS). We emphasize that the breakdown of detailed balance, the Onsager reciprocality, and the entropy production at NESS should be understood in terms of kinetic cycles, an idea dated back to Clausius, Komogorov, Landauer, Bennett and Hill. We further show that cycles are represented by bivectors in continuous-state Markov processes. A novel decomposition of the non-stationary probability flux is derived in terms of a scalar potential of free energy and a bivector potential of cycle flux.

个人简介：

Ying-Jen Yang is a Ph.D. candidate of applied mathematics in Dr. Hong Qian's group at the University of Washington, Seattle. He obtained his bachelor and master of physics at National Taiwan University in 2014 and 2016. His research interest is in probability theory and stochastic dynamics, biophysics, and mathematical physics.