Author: La Cour B.R. Schieve W.C.
Publisher: Springer Publishing Company
ISSN: 0022-4715
Source: Journal of Statistical Physics, Vol.107, Iss.3-4, 2002-05, pp. : 729-756
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Abstract
We consider the quasi-deterministic behavior of systems with a large number, n, of deterministically interacting constituents. This work extends the results of a previous paper [J. Statist. Phys. 99:1225–1249 (2000)] to include vector-valued observables on interacting systems. The approach used here, however, differs markedly in that a level-1 large deviation principle (LDP) on joint observables, rather than a level-2 LDP on empirical distributions, is employed. As before, we seek a mapping ψ_t on the set of (possibly vector-valued) macrostates such that, when the macrostate is given to be a_0 at time zero, the macrostate at time t is ψ_t(a_0) with a probability approaching one as n tends to infinity. We show that such a map exists and derives from a generalized dynamic free energy function, provided the latter is everywhere well defined, finite, and differentiable. We discuss some general properties of ψ_t relevant to issues of irreversibility and end with an example of a simple interacting lattice, for which an exact macroscopic solution is obtained.
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