Nonequilibrium Langevin dynamics: a demonstration study of shear flow fluctuations in a simple fluid

Abstract

The present study is based on a recent success of the second-order stochastic fluctuation theory in describing time autocorrelations of equilibrium and nonequilibrium physical systems. In particular, it was shown to yield values of the related deterministic parameters of the Langevin equation for a Couette flow in a microscopic Molecular Dynamics model of a simple fluid. In this paper we find all the remaining constants of the stochastic dynamics, which is then numerically simulated and directly compared with the original physical system. By using these data, we study in detail the accuracy and precision of a second-order Langevin model for nonequilibrium physical systems, theoretically and computationally. In addition, an intriguing relation is found between an applied external force and cumulants of the resulting flow fluctuations. This is characterized by a linear dependence of athermal cumulant ratio, a new quantity introduced here.

References in corpus (8)

• Minimal Model of Stochastic Athermal Systems: Origin of Non-Gaussian Noise
• Stochastic Energetics for Non-Gaussian Processes
• Quasi symplectic integrators for stochastic differential equations
• Asymptotic derivation of Langevin-like equation with non-Gaussian noise and its analytical solution
• Noise-induced memory in extended excitable systems
• Second-order fluctuation theory and time autocorrelation function for currents
• Asymmetry of steady state current fluctuations in nonequilibrium systems
• The Langevin equation for systems with a preferred spatial direction

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