Nonequilibrium Lyapunov function and a fluctuation relation for stochastic systems: Poisson-representation approach.
We present a statistical physics framework for the description of nonlinear nonequilibrium stochastic processes, modeled via a chemical master equation, in the weak-noise limit. Using the Poisson-representation approach and applying the large-deviation principle, we first solve the master equation. Then we use the notion of the nonequilibrium free energy to derive an integral fluctuation relation for nonlinear nonequilibrium systems under feedback control. We point out that the free energy as well as some functionals can serve as a nonequilibrium Lyapunov function which has an important property to decay monotonously to its minimal value at all times. The Poisson-representation technique is illustrated via exact stochastic treatment of biophysical processes, such as bacterial chemosensing and molecular evolution.
Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan.
K G
KG
Petrosyan
Institute of Physics, Academia Sinica, Nankang, Taipei 11529, Taiwan.
Chin-Kun
CK
Hu
D000465:Algorithms; D018407:Bacterial Physiological Phenomena; D002633:Chemotaxis / Q000502:physiology*; D003198:Computer Simulation; D008954:Models, Biological; D015233:Models, Statistical; D016012:Poisson Distribution; D013269:Stochastic Processes