Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
1997-06-09
Physics
Condensed Matter
Disordered Systems and Neural Networks
41pp, plain TEX
Scientific paper
We study the finite dimensional marginals of the Gibbs measure in the Hopfield model at low temperature when the number of patterns, $M$, is proportional to the volume with a sufficiently small proportionality constant $\a>0$. It is shown that even when a single pattern is selected (by a magnetic field or by conditioning), the marginals do not converge almost surely, but only in law. The corresponding limiting law is constructed explicitly. We fit our result in the recently proposed language of ``metastates'' which we discuss in some length. As a byproduct, in a certain regime of the parameters $\a$ and $\b$ (the inverse temperature), we also give a simple proof of Talagrand's [T1] recent result that the replica symmetric solution found by Amit, Gutfreund, and Sompolinsky [AGS] can be rigorously justified.
Bovier Anton
Gayrard Veronique
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