Exact Large Deviation Functional of a Stationary Open Driven Diffusive System: The Asymmetric Exclusion Process
B. Derrida, J. L. Lebowitz, E. R. Speer

TL;DR
This paper derives an exact large deviation functional for the asymmetric exclusion process, revealing non-local, non-convex, and non-Gaussian fluctuation behaviors in a driven diffusive system with open boundaries.
Contribution
It provides the first exact asymptotic expression for the probability of arbitrary macroscopic profiles in ASEP, highlighting complex fluctuation phenomena.
Findings
Large deviation functional is non-local and exact.
Functional can be non-convex and have discontinuities.
Fluctuations near typical profiles are non-Gaussian.
Abstract
We consider the asymmetric exclusion process (ASEP) in one dimension on sites , in contact at sites and with infinite particle reservoirs at densities and . As and are varied, the typical macroscopic steady state density profile , , obtained in the limit , exhibits shocks and phase transitions. Here we derive an exact asymptotic expression for the probability of observing an arbitrary macroscopic profile : , so that is the large deviation functional, a quantity similar to the free energy of equilibrium systems. We find, as in the symmetric, purely diffusive case (treated in an earlier work), that is in general a non-local functional of . Unlike the symmetric case,…
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Taxonomy
TopicsStochastic processes and statistical mechanics · Theoretical and Computational Physics · Markov Chains and Monte Carlo Methods
