Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
2008-11-10
Physics
Condensed Matter
Disordered Systems and Neural Networks
Detailed study of the phase diagram and proof of the fifth order scaling at all temperatures, final version accepted on PRB
Scientific paper
We consider the probability distribution of large deviations in the spin-glass free energy for the Sherrington-Kirkpatrick mean field model, {\it i.e.} the exponentially small probability of finding a system with intensive free energy smaller than the most likely one. This result is obtained by computing $\Phi(n,T)=T \bar{Z^n}/ n$, {\it i.e.} the average value of the partition function to the power $n$ as a function of $n$. We study in full details the phase diagram of $\Phi(n,T)$ in the $(n,T)$ plane computing in particular the stability of the replica-symmetric solution. At low temperatures we compute $\Phi(n,T)$ in series of $n$ and $\tau=T_c-T$ at high orders using the standard hierarchical ansatz and confirm earlier findings on the $O(n^5)$ scaling. We prove that the $O(n^5)$ scaling is valid at all orders and obtain an exact expression for the coefficient in term of the function $q(x)$. Resumming the series we obtain the large deviations probability at all temperatures. At zero temperature the analytical prediction displays a remarkable quantitative agreement with the numerical data. A similar computation for the simpler spherical model is also performed and the connection between large and small deviations is discussed.
Parisi Giorgio
Rizzo Tommaso
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