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相关论文: Long-range spectral statistics of the Rosenzweig-P…

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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…

无序系统与神经网络 · 物理学 2015-12-29 V. E. Kravtsov , I. M. Khaymovich , E. Cuevas , M. Amini

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…

无序系统与神经网络 · 物理学 2023-12-12 Madhumita Sarkar , Roopayan Ghosh , Ivan M. Khaymovich

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.…

高能物理 - 理论 · 物理学 2025-12-03 Viktor Jahnke , Pratik Nandy , Kuntal Pal , Hugo A. Camargo , Keun-Young Kim

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…

无序系统与神经网络 · 物理学 2019-12-04 M. Pino , J. Tabanera , P. Serna

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…

无序系统与神经网络 · 物理学 2019-01-30 G. De Tomasi , M. Amini , S. Bera , I. M. Khaymovich , V. E. Kravtsov

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…

无序系统与神经网络 · 物理学 2026-05-21 Wouter Buijsman , Yevgeny Bar Lev

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…

无序系统与神经网络 · 物理学 2023-05-15 Davide Venturelli , Leticia F. Cugliandolo , Grégory Schehr , Marco Tarzia

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…

无序系统与神经网络 · 物理学 2016-02-03 Maksym Serbyn , Joel E. Moore

The Rosenzweig-Porter model has seen a resurgence in interest as it exhibits a non-ergodic extended phase between the ergodic extended metallic phase and the localized phase. Such a phase is relevant to many physical models from the…

无序系统与神经网络 · 物理学 2020-10-28 Richard Berkovits

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…

无序系统与神经网络 · 物理学 2023-11-16 Xiaoshui Lin , Guang-Can Guo , Ming Gong

Spectral statistics of systems that undergo many--body localization transition are studied. An analysis of the gap ratio statistics from the perspective of inter- and intra-sample randomness allows us to pin point differences between…

无序系统与神经网络 · 物理学 2019-03-06 Piotr Sierant , Jakub Zakrzewski

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…

无序系统与神经网络 · 物理学 2020-12-14 I. M. Khaymovich , V. E. Kravtsov , B. L. Altshuler , L. B. Ioffe

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…

无序系统与神经网络 · 物理学 2021-12-08 A. G. Kutlin , I. M. Khaymovich

The statistical distribution of eigenfunctions for the Rosenzweig-Porter model is derived for the region where eigenfunctions have fractal behaviour. The result is based on simple physical ideas and leads to transparent explicit formulas…

量子物理 · 物理学 2018-10-03 E. Bogomolny , M. Sieber

It has been observed that an interesting class of non-Gaussian stationary processes is obtained when in the harmonics of a signal with random amplitudes and phases, frequencies can also vary randomly. In the resulting models, the…

概率论 · 数学 2019-11-19 Anastassia Baxevani , Krzysztof Podgórski

We report on an experimental investigation of the transition of a quantum system with integrable classical dynamics to one with violated time-reversal (T) invariance and chaotic classical counterpart. High-precision experiments are…

量子物理 · 物理学 2024-01-30 Xiaodong Zhang , Weihua Zhang , Jiongning Che , Barbara Dietz

We study the statistics of the local resolvent and non-ergodic properties of eigenvectors for a generalised Rosenzweig-Porter $N\times N$ random matrix model, undergoing two transitions separated by a delocalised non-ergodic phase.…

无序系统与神经网络 · 物理学 2016-09-29 Davide Facoetti , Pierpaolo Vivo , Giulio Biroli

By using the Efetov's super-symmetric formalism we computed analytically the mean spectral density $\rho(E)$ for the L\'evy and the L\'evy -Rosenzweig-Porter random matrices which off-diagonal elements are strongly non-Gaussian with…

无序系统与神经网络 · 物理学 2025-01-15 Elizaveta Safonova , Mikhail Feigelman , Vladimir Kravtsov

Recent work has proposed fading ergodicity as a mechanism for many-body ergodicity breaking. Here, we show that two paradigmatic random matrix ensembles -- the Rosenzweig-Porter model and the ultrametric model -- fall within the same…

统计力学 · 物理学 2026-03-26 Rafał Świętek , Maksymilian Kliczkowski , Miroslav Hopjan , Lev Vidmar

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…

无序系统与神经网络 · 物理学 2021-03-31 Giulio Biroli , Marco Tarzia
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