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Related papers: Dynamical phases in a "multifractal" Rosenzweig-Po…

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We study analytically and numerically the dynamics of the generalized Rosenzweig-Porter model, which is known to possess three distinct phases: ergodic, multifractal and localized phases. Our focus is on the survival probability $R(t)$, the…

Disordered Systems and Neural Networks · Physics 2019-01-30 G. De Tomasi , M. Amini , S. Bera , I. M. Khaymovich , V. E. Kravtsov

Gaussian Rosenzweig-Porter (GRP) random matrix ensemble is the only one in which the robust multifractal phase and ergodic transition have a status of a mathematical theorem. Yet, this phase in GRP model is oversimplified: the spectrum of…

Disordered Systems and Neural Networks · Physics 2020-03-10 V. E. Kravtsov , I. M. Khaymovich , B. L. Altshuler , L. B. Ioffe

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

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

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

In recent years the Rosenzweig--Porter (RP) ensemble, obtained by adding a diagonal matrix with independent and identically distributed elements to a Gaussian random matrix, has been widely used as a minimal model for the emergence of…

Statistical Mechanics · Physics 2026-01-19 Victor Delapalme , Leticia F. Cugliandolo , Grégory Schehr , Marco Tarzia , Davide Venturelli

Motivated by a series of recent works, an interest in multifractal phases has risen as they are believed to be present in the Many-Body Localized (MBL) phase and are of high demand in quantum annealing and machine learning. Inspired by the…

Disordered Systems and Neural Networks · Physics 2024-01-17 Anton Kutlin , Ivan M. Khaymovich

We study the stability of non-ergodic but extended (NEE) phases in non-Hermitian systems. For this purpose, we generalize a so-called Rosenzweig-Porter random-matrix ensemble (RP), known to carry a NEE phase along with the Anderson…

Disordered Systems and Neural Networks · Physics 2023-11-03 Giuseppe De Tomasi , Ivan M. Khaymovich

Motivated by the problem of Many-Body Localization and the recent numerical results for the level and eigenfunction statistics on the random regular graphs, a generalization of the Rosenzweig-Porter random matrix model is suggested that…

Disordered Systems and Neural Networks · Physics 2015-12-29 V. E. Kravtsov , I. M. Khaymovich , E. Cuevas , M. Amini

We study the effects of partial correlations in kinetic hopping terms of long-range disordered random matrix models on their localization properties. We consider a set of models interpolating between fully-localized Richardson's model and…

Disordered Systems and Neural Networks · Physics 2021-12-08 A. G. Kutlin , I. M. Khaymovich

In this paper we consider an extension of the Rosenzweig-Porter (RP) model, the L\'evy-RP (L-RP) model, in which the off-diagonal matrix elements are broadly distributed, providing a more realistic benchmark to develop an effective…

Disordered Systems and Neural Networks · Physics 2021-03-31 Giulio Biroli , Marco Tarzia

The Rosenzweig-Porter random matrix ensemble serves as a qualitative phenomenological model for the level statistics and fractality of eigenstates across the many-body localization transition in static systems. We propose a unitary…

Disordered Systems and Neural Networks · Physics 2026-05-21 Wouter Buijsman , Yevgeny Bar Lev

The Rosenzweig-Porter model is a one-parameter family of random matrices with three different phases: ergodic, extended non-ergodic and localized. We characterize numerically each of these phases and the transitions between them. We focus…

Disordered Systems and Neural Networks · Physics 2019-12-04 M. Pino , J. Tabanera , P. Serna

We consider the spreading of the wave packet in the generalized Rosenzweig-Porter random matrix ensemble in the region of non-ergodic extended states $1<\gamma<2$. We show that despite non-trivial fractal dimensions $0 < D_{q}=2-\gamma<1$…

Disordered Systems and Neural Networks · Physics 2017-06-08 Mohsen Amini Abchuyeh

Two-dimensional random Lorentz gases with absorbing traps are considered in which a moving point particle undergoes elastic collisions on hard disks and annihilates when reaching a trap. In systems of finite spatial extension, the…

Chaotic Dynamics · Physics 2015-06-26 I. Claus , P. Gaspard , H. van Beijeren

The delocalized non-ergodic phase existing in some random $N \times N$ matrix models is analyzed via the Wigner-Weisskopf approximation for the dynamics from an initial site $j_0$. The main output of this approach is the inverse…

Disordered Systems and Neural Networks · Physics 2017-06-26 Cecile Monthus

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

Utilizing the framework of free probability, we analyze the spectral and operator statistics of the Rosenzweig-Porter random matrix ensembles, which exhibit a rich phase structure encompassing ergodic, fractal, and localized regimes.…

High Energy Physics - Theory · Physics 2025-12-03 Viktor Jahnke , Pratik Nandy , Kuntal Pal , Hugo A. Camargo , Keun-Young Kim

The mobility edge, as a central concept in disordered models for localization-delocalization transitions, has rarely been discussed in the context of random matrix theory (RMT). Here we report a new class of random matrix model by direct…

Disordered Systems and Neural Networks · Physics 2023-11-16 Xiaoshui Lin , Guang-Can Guo , Ming Gong

The generalized Rosenzweig-Porter model with real (GOE) off-diagonal entries arguably constitutes the simplest random matrix ensemble displaying a phase with fractal eigenstates, which we characterize here by using replica methods. We first…

Disordered Systems and Neural Networks · Physics 2023-05-15 Davide Venturelli , Leticia F. Cugliandolo , Grégory Schehr , Marco Tarzia
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