An almost sure large deviation principle for the Hopfield model

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dc.creatorBovier, Anton
dc.creatorGayrard, Véronique
dc.date1995-04-03
dc.date.accessioned2026-07-07T03:07:39Z
dc.date.available2026-07-07T03:07:39Z
dc.descriptionWe prove a large deviation principle for the finite dimensional marginals of the Gibbs distribution of the macroscopic `overlap'-parameters in the Hopfield model in the case where the number of random patterns, $M$, as a function of the system size $N$ satisfies $\limsup M(N)/N=0$. In this case the rate function (or free energy as a function of the overlap parameters) is independent of the disorder for almost all realization of the patterns and given by an explicit variational formula.
dc.description31pp; Plain-TeX, hardcopy available on request from bovier@iaas-berlin.d400.de
dc.identifierhttps://arxiv.org/abs/cond-mat/9504003
dc.identifierhttp://arxiv.org/abs/cond-mat/9504003
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/27249
dc.subjectCondensed Matter
dc.titleAn almost sure large deviation principle for the Hopfield model
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