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Analysis of statistical equilibrium models of geostrophicturbulence
Statistical equilibrium lattice models of coherent structures in geostrophic turbulence, formulated by discretizing the governing Hamiltonian continuum dynamics, are analyzed. The first set of results concern large deviation principles (LDP′s) for a spatially coarse‐grained process with respect to e...
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Published in: | International journal of stochastic analysis 2002-01, Vol.15 (4), p.327-347 |
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Main Authors: | , , |
Format: | Article |
Language: | English |
Citations: | Items that cite this one |
Online Access: | Get full text |
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Summary: | Statistical equilibrium lattice models of coherent structures in geostrophic turbulence,
formulated by discretizing the governing Hamiltonian continuum
dynamics, are analyzed. The first set of results concern large deviation principles
(LDP′s) for a spatially coarse‐grained process with respect to either the canonical
and/or the microcanonical formulation of the model. These principles are derived
from a basic LDP for the coarse‐grained process with respect to product measure,
which in turn depends on Cramér′s Theorem. The rate functions for the LDP′s
give rise to variational principles that determine the equilibrium solutions of the
Hamiltonian equations. The second set of results addresses the equivalence or
nonequivalence of the microcanonical and canonical ensembles. In particular, necessary
and sufficient conditions for a correspondence between microcanonical
equilibria and canonical equilibria are established in terms of the concavity of the
microcanonical entropy. A complete characterization of equivalence of
ensembles is deduced by elementary methods of convex analysis. The
mathematical results proved in this paper complement the physical reasoning and
numerical computations given in a companion paper, where it is argued that the
statistical equilibrium model defined by a prior distribution on potential vorticity
fluctuations and microcanonical conditions on total energy and circulation is
natural from the perspective of geophysical applications. |
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ISSN: | 2090-3332 2090-3340 |
DOI: | 10.1155/S1048953302000278 |