Extreme Value Statistics Distributions in Spin Glasses

TL;DR

This paper investigates the distribution of pseudo-critical temperatures in spin-glass models, revealing Tracy-Widom and Gumbel distributions in mean-field and short-range cases, respectively, linking fluctuations to extreme value statistics.

Contribution

It demonstrates the connection between pseudo-critical temperature fluctuations and extreme value statistics, identifying specific distributions for different spin-glass models.

Findings

SK model follows Tracy-Widom distribution

EA model follows Gumbel distribution

Pseudo-critical point distribution is experimentally accessible

Abstract

We study the probability distribution of the pseudo-critical temperature in a mean-field and in a short-range spin-glass model: the Sherrington-Kirkpatrick (SK) and the Edwards-Anderson (EA) model. In both cases, we put in evidence the underlying connection between the fluctuations of the pseudo-critical point and and the Extreme Value Statistics of random variables. For the SK model, both with Gaussian and binary couplings, the distribution of the pseudo-critical temperature is found to be the Tracy-Widom distribution. For the EA model, the distribution is found to be the Gumbel distribution. Being the EA model representative of uniaxial magnetic materials with quenched disorder like $Fe_{0.5} Mn_{0.5} Ti O_3$ or $Eu_{0.5} Ba_{0.5} Mn O_3$, its pseudo-critical point distribution should be a priori experimentally accessible.