Statistical Mechanics of Logarithmic REM: Duality, Freezing and Extreme Value Statistics of $1/f$ Noises generated by Gaussian Free Fields
Yan V Fyodorov, Pierre Le Doussal, Alberto Rosso

TL;DR
This paper analyzes the statistical mechanics of logarithmically correlated random energy models derived from Gaussian Free Fields, revealing duality relations, freezing phenomena, and extreme value distributions relevant to 1/f noise and quantum gravity.
Contribution
It extends the analysis of REM with logarithmic correlations to interval cases, introduces a duality relation, and derives the distribution of extrema for 2dGFF along a segment.
Findings
Unveiled a duality relation in the high-temperature phase.
Derived the distribution of extrema for 2dGFF on [0,1].
Confirmed universality through numerical checks.
Abstract
We compute the distribution of the partition functions for a class of one-dimensional Random Energy Models (REM) with logarithmically correlated random potential, above and at the glass transition temperature. The random potential sequences represent various versions of the 1/f noise generated by sampling the two-dimensional Gaussian Free Field (2dGFF) along various planar curves. Our method extends the recent analysis of Fyodorov Bouchaud from the circular case to an interval and is based on an analytical continuation of the Selberg integral. In particular, we unveil a {\it duality relation} satisfied by the suitable generating function of free energy cumulants in the high-temperature phase. It reinforces the freezing scenario hypothesis for that generating function, from which we derive the distribution of extrema for the 2dGFF on the interval. We provide numerical checks of…
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