Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2009-01-08
Physics
Condensed Matter
Disordered Systems and Neural Networks
Scientific paper
We compute the probability of positive large deviations of the free energy per spin in mean-field Spin-Glass models. The probability vanishes in the thermodynamic limit as $P(\Delta f) \propto \exp[-N^2 L_2(\Delta f)]$. For the Sherrington-Kirkpatrick model we find $L_2(\Delta f)=O(\Delta f)^{12/5}$ in good agreement with numerical data and with the assumption that typical small deviations of the free energy scale as $N^{1/6}$. For the spherical model we find $L_2(\Delta f)=O(\Delta f)^{3}$ in agreement with recent findings on the fluctuations of the largest eigenvalue of random Gaussian matrices. The computation is based on a loop expansion in replica space and the non-gaussian behaviour follows in both cases from the fact that the expansion is divergent at all orders. The factors of the leading order terms are obtained resumming appropriately the loop expansion and display universality, pointing to the existence of a single universal distribution describing the small deviations of any model in the full-Replica-Symmetry-Breaking class.
Parisi Giorgio
Rizzo Tommaso
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