Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2002-07-10
Physics
Condensed Matter
Disordered Systems and Neural Networks
19 pages, Revtex4, eps figures
Scientific paper
10.1088/0305-4470/36/3/306
We study analytically and numerically the role of temperature shifts in the simplest model where the energy landscape is explicitely hierarchical, namely the Sinai model. This model has both attractive features (there are valleys within valleys in a strict self similar sense), but also one important drawback: there is no phase transition so that the model is, in the large size limit, effectively at zero temperature. We compute various static chaos indicators, that are found to be trivial in the large size limit, but exhibit interesting features for finite sizes. Correspondingly, for finite times, some interesting rejuvenation effects, related to the self similar nature of the potential, are observed. Still, the separation of time scales/length scales with temperatures in this model is much weaker that in experimental spin-glasses.
Bouchaud Jean-Philippe
Ritort Felix
Sales Marta
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