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We consider $N\times N$ Hermitian random matrices with i.i.d. entries. The matrix is normalized so that the average spacing between consecutive eigenvalues is of order $1/N$. We study the connection between eigenvalue statistics on…

Mathematical Physics · Physics 2009-06-25 László Erdős , Benjamin Schlein , Horng-Tzer Yau

We combine numerical diagonalization with a semi-analytical calculations to prove the existence of the intermediate non-ergodic but delocalized phase in the Anderson model on disordered hierarchical lattices. We suggest a new generalized…

Disordered Systems and Neural Networks · Physics 2016-10-12 B. L. Altshuler , E. Cuevas , L. B. Ioffe , V. E. Kravtsov

We study the sensitivity of the eigenvectors of random matrices, showing that even small perturbations make the eigenvectors almost orthogonal. More precisely, we consider two deformed Wigner matrices $W+D_1$, $W+D_2$ and show that their…

Probability · Mathematics 2026-03-03 Giorgio Cipolloni , László Erdős , Joscha Henheik , Oleksii Kolupaiev

This work provide a thorough study of L\'evy or heavy-tailed random matrices (LM). By analysing the self-consistent equation on the probability distribution of the diagonal elements of the resolvent we establish the equation determining the…

Disordered Systems and Neural Networks · Physics 2016-01-26 Elena Tarquini , Giulio Biroli , Marco Tarzia

Non-Hermitian random matrices provide a useful framework for understanding universal characteristics of dissipative quantum chaotic systems with loss or gain. We consider a model of two such system represented by two independent $N\times N$…

Mathematical Physics · Physics 2026-04-28 Margherita Disertori , Yan V. Fyodorov

We analyse the eigenvectors of the adjacency matrix of the Erd\H{o}s-R\'enyi graph $\mathbb G(N,d/N)$ for $\sqrt{\log N} \ll d \lesssim \log N$. We show the existence of a localized phase, where each eigenvector is exponentially localized…

Probability · Mathematics 2023-12-21 Johannes Alt , Raphael Ducatez , Antti Knowles

The Rosenzweig-Porter model is a single-parameter random matrix ensemble that supports an ergodic, fractal, and localized phase. The names of these phases refer to the properties of the (midspectrum) eigenstates. This work focuses on the…

Disordered Systems and Neural Networks · Physics 2024-06-11 Wouter Buijsman

Transitions from delocalized to localized eigenstates have been extensively studied in both quadratic and interacting models. The delocalized regime typically exhibits diffusion and quantum chaos, and its properties comply with the random…

Statistical Mechanics · Physics 2025-05-16 Mateusz Lisiecki , Lev Vidmar , Patrycja Łydżba

We study statistical properties of the ensemble of large $N\times N$ random matrices whose entries $ H_{ij}$ decrease in a power-law fashion $H_{ij}\sim|i-j|^{-\alpha}$. Mapping the problem onto a nonlinear $\sigma-$model with non-local…

The many-body localization transition (MBLT) between ergodic and many-body localized phase in disordered interacting systems is a subject of much recent interest. Statistics of eigenenergies is known to be a powerful probe of crossovers…

Disordered Systems and Neural Networks · Physics 2016-02-03 Maksym Serbyn , Joel E. Moore

We prove that an n by n random matrix G with independent entries is completely delocalized. Suppose the entries of G have zero means, variances uniformly bounded below, and a uniform tail decay of exponential type. Then with high…

Probability · Mathematics 2015-11-04 Mark Rudelson , Roman Vershynin

Motivated by the constrained many-body dynamics, the stability of the localization-delocalization properties to the inclusion of the soft constraints is addressed in random matrix models. These constraints are modeled by correlations in…

Disordered Systems and Neural Networks · Physics 2019-07-01 P. A. Nosov , I. M. Khaymovich

We analyze the distribution of eigenvectors for mesoscopic, mean-field perturbations of diagonal matrices in the bulk of the spectrum. Our results apply to a generalized $N\times N$ Rosenzweig-Porter model. We prove that the eigenvectors…

Probability · Mathematics 2020-11-04 Lucas Benigni

A numerical study of Anderson transition on random regular graphs (RRG) with diagonal disorder is performed. The problem can be described as a tight-binding model on a lattice with N sites that is locally a tree with constant connectivity.…

Disordered Systems and Neural Networks · Physics 2016-12-28 K. S. Tikhonov , A. D. Mirlin , M. A. Skvortsov

We study the return probability for the Anderson model on the random regular graph and give evidence of the existence of two distinct phases: a fully ergodic and nonergodic one. In the ergodic phase, the return probability decays…

Disordered Systems and Neural Networks · Physics 2019-12-02 Soumya Bera , Giuseppe De Tomasi , Ivan M. Khaymovich , Antonello Scardicchio

Rosenzweig-Porter (RP) model has garnered much attention in the last decade, as it is a simple analytically tractable model showing both ergodic--nonergodic extended and Anderson localization transitions. Thus, it is a good toy model to…

Disordered Systems and Neural Networks · Physics 2023-12-12 Madhumita Sarkar , Roopayan Ghosh , Ivan M. Khaymovich

Power-law random banded unitary matrices (PRBUM), whose matrix elements decay in a power-law fashion, were recently proposed to model the critical statistics of the Floquet eigenstates of periodically driven quantum systems. In this work,…

Disordered Systems and Neural Networks · Physics 2015-06-11 Jayendra N. Bandyopadhyay , Jiangbin Gong

We show that non-interacting disordered electrons on a Bethe lattice display a new intermediate phase which is delocalized but non-ergodic, i.e. it is characterized by Poisson instead of GOE statistics. The physical signature of this phase…

Disordered Systems and Neural Networks · Physics 2012-12-04 G. Biroli , A. C. Ribeiro-Teixeira , M. Tarzia

In this paper we suggest an extension of the Rosenzweig-Porter (RP) model, the LN-RP model, in which the off-diagonal matrix elements have a wide, log-normal distribution. We argue that this model is more suitable to describe a generic many…

Disordered Systems and Neural Networks · Physics 2020-12-14 I. M. Khaymovich , V. E. Kravtsov , B. L. Altshuler , L. B. Ioffe

In this paper we establish eigenvector delocalization and bulk universality for L\'{e}vy matrices, which are real, symmetric, $N \times N$ random matrices $\textbf{H}$ whose upper triangular entries are independent, identically distributed…

Probability · Mathematics 2019-11-13 Amol Aggarwal , Patrick Lopatto , Horng-Tzer Yau