# Disordered statistical physics in low dimensions: extremes, glass transition, and localization

## TL;DR

This thesis explores disordered statistical physics, focusing on logarithmic correlated Random Energy Models and localization transitions in long-range random matrices, revealing new theoretical insights and applications.

## Contribution

It introduces novel analytical methods for logREMs and studies localization transitions in broadly distributed random matrices, advancing understanding of disordered systems.

## Key findings

- Characterized properties of logREMs and their free energy freezing scenario.
- Developed exact predictions for observables using Jack polynomials.
- Identified localization transitions with mobility edges in long-range random matrices.

## Abstract

This thesis presents original results in two domains of disordered statistical physics: logarithmic correlated Random Energy Models (logREMs), and localization transitions in long-range random matrices. In the first part devoted to logREMs, we show how to characterise their common properties and model--specific data. Then we develop their replica symmetry breaking treatment, which leads to the freezing scenario of their free energy distribution and the general description of their minima process, in terms of decorated Poisson point process. We also report a series of new applications of the Jack polynomials in the exact predictions of some observables in the circular model and its variants. Finally, we present the recent progress on the exact connection between logREMs and the Liouville conformal field theory. The goal of the second part is to introduce and study a new class of banded random matrices, the broadly distributed class, which is characterid an effective sparseness. We will first study a specific model of the class, the Beta Banded random matrices, inspired by an exact mapping to a recently studied statistical model of long--range first--passage percolation/epidemics dynamics. Using analytical arguments based on the mapping and numerics, we show the existence of localization transitions with mobility edges in the "stretch--exponential" parameter--regime of the statistical models. Then, using a block--diagonalization renormalization approach, we argue that such localization transitions occur generically in the broadly distributed class.