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Mapping out-of-equilibrium into equilibrium in one-dimensional transport models

Julien Tailleur1, Jorge Kurchan2 and Vivien Lecomte3

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Systems with conserved currents driven by reservoirs at the boundaries offer an opportunity for a general analytic study that is unparalleled in more general out-of-equilibrium systems. The evolution of coarse-grained variables is governed by stochastic hydrodynamic equations in the limit of small noise. As such it is amenable to a treatment formally equal to the semiclassical limit of quantum mechanics, which reduces the problem of finding the full distribution functions to the solution of a set of Hamiltonian equations. It is in general not possible to solve such equations explicitly, but for an interesting set of problems (the driven symmetric exclusion process and the Kipnis–Marchioro–Presutti model) it can be done by a sequence of remarkable changes of variables. We show that at the bottom of this 'miracle' is the surprising fact that these models can be taken through a non-local transformation into isolated systems satisfying detailed balance, with probability distribution given by the Gibbs–Boltzmann measure. This procedure can in fact also be used to obtain an elegant solution of the much simpler problem of non-interacting particles diffusing in a one-dimensional potential, again using a transformation that maps the driven problem into an undriven one.


PACS

05.60.-k Transport processes

02.50.Ey Stochastic processes

02.50.Ng Distribution theory and Monte Carlo studies

05.40.Ca Noise

MSC

60H40 White noise theory

60Bxx Probability theory on algebraic and topological structures

82C31 Stochastic methods (Fokker-Planck, Langevin, etc.) (See also 60H10)

60J60 Diffusion processes (See also 58J65)

60Exx Distribution theory (See also 62Exx, 62Hxx)

82C70 Transport processes

Subjects

Computational physics

Statistical physics and nonlinear systems

Dates

Issue 50 (19 December 2008)

Received 19 August 2008, in final form 7 October 2008

Published 3 November 2008



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