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Thermodynamic entropy production fluctuation in a two-dimensional shear flow model.

Federico Bonetto, +1 more
- 30 Oct 2001 - 
- Vol. 64, Iss: 5, pp 056129
TLDR
Investigation of fluctuations in the momentum flux across a surface perpendicular to the velocity gradient in a stationary shear flow maintained by either thermostated deterministic or by stochastic boundary conditions finds the latter appear to satisfy a modified fluctuation relation.
Abstract
We investigate fluctuations in the momentum flux across a surface perpendicular to the velocity gradient in a stationary shear flow maintained by either thermostated deterministic or by stochastic boundary conditions. In the deterministic system the fluctuation relation for the probability of large deviations, which holds for the phase space volume contraction giving the Gibbs ensemble entropy production, never seems to hold for the flux which gives the hydrodynamic entropy production. In the stochastic case the fluctuation relation is found to hold for the total flux, as predicted by various exact results, but not for the flux across part of the surface. The latter appear to satisfy a modified fluctuation relation. Similar results are obtained for the heat flux in a steady state produced by stochastic boundaries at different temperatures.

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Citations
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References
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Journal ArticleDOI

Probability of second law violations in shearing steady states.

TL;DR: An expression for the probability of fluctuations in the shear stress of a fluid in a nonequilibrium steady state far from equilibrium is given and a formula for the ratio that, for a finite time, theShear stress reverse sign is violating the second law of thermodynamics.
Journal ArticleDOI

A gallavotti-cohen-type symmetry in the large deviation functional for stochastic dynamics

TL;DR: In this article, the authors extend the work of Kurchan on the Gallavotti-Cohen fluctuation theorem, which yields a symmetry property of the large deviation function, to general Markov processes.
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Fluctuation theorem for stochastic dynamics

TL;DR: In this paper, a nonlinear fluctuation-dissipation theorem valid for equilibrium systems perturbed by arbitrarily strong fields is given for systems undergoing Langevin dynamics, where all non-trivial ergodic theory issues are bypassed and the theorem takes a particularly simple form.
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Dynamical ensembles in stationary states

TL;DR: In this paper, a chaotic hypothesis for reversible dissipative many-particle systems in nonequilibrium stationary states in general is proposed, which leads to the identification of a unique distribution μ describing the asymptotic properties of the system for initial data randomly chosen with respect to a uniform distribution on phase space.
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The Fluctuation Theorem as a Gibbs Property

TL;DR: In this article, the Gallavotti-Cohen fluctuation theorem is interpreted as a Gibbs property, as follows from the very definition of Gibbs state, and a local version of fluctuation is derived for some class of spatially extended stochastic dynamics.
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