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Typically, metallic systems localized under strong disorder exhibit a transition to \imk{delocalization} %finite conduction as kinetic terms increase. In this work, we reveal the opposite effect~--~increasing kinetic terms leads to an…

无序系统与神经网络 · 物理学 2025-07-03 Roopayan Ghosh , Madhumita Sarkar , 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…

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

Models with correlated disorders are rather common in physics. In some of them, like the Aubry-Andr\'e (AA) model, the localization phase diagram can be found from the (self)duality with respect to the Fourier transform. In the others, like…

无序系统与神经网络 · 物理学 2025-03-11 Shilpi Roy , Saurabh Basu , Ivan M. Khaymovich

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

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

We consider a Bose-Hubbard model with an arbitrary hopping term and provide the boundary of the insulating phase thereof in terms of third-order strong coupling perturbative expansions for the ground state energy. In the general case two…

软凝聚态物质 · 物理学 2007-05-23 P. Buonsante , V. Penna , A. Vezzani

We consider the static and dynamic phases in a Rosenzweig-Porter (RP) random matrix ensemble with the tailed distribution of off-diagonal matrix elements of the form of the large-deviation ansatz. We present a general theory of survival…

无序系统与神经网络 · 物理学 2021-09-01 I. M. Khaymovich , V. E. Kravtsov

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…

无序系统与神经网络 · 物理学 2023-11-03 Giuseppe De Tomasi , Ivan M. Khaymovich

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…

无序系统与神经网络 · 物理学 2019-07-01 P. A. Nosov , I. M. Khaymovich

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…

无序系统与神经网络 · 物理学 2024-06-11 Wouter Buijsman

We examine the localization properties of the three-dimensional (3D) Anderson Hamiltonian with off-diagonal disorder using the transfer-matrix method (TMM) and finite-size scaling (FSS). The nearest-neighbor hopping elements are chosen…

无序系统与神经网络 · 物理学 2007-05-23 P. Cain , R. A. Roemer , M. Schreiber

In the present work, we investigated the correlation-induced localization-delocalization transition in the one-dimensional tight-binding model with fractal disorder. We obtained a phase transition diagram from localized to extended states…

无序系统与神经网络 · 物理学 2015-08-26 Hiroaki S. Yamada

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 ultrametric random matrix ensemble, whose independent entries have variances decaying exponentially in the metric induced by the tree topology on $\mathbb{N}$, and map out the entire localization regime in terms of…

概率论 · 数学 2018-07-27 Per von Soosten , Simone Warzel

We study Anderson localization in a one-dimensional disordered system with long-range correlated hopping decaying as $1/r^{a}$ with complex hopping amplitudes that break time-reversal symmetry in a tunable fashion by varying their argument.…

无序系统与神经网络 · 物理学 2026-04-03 Bikram Pain , Sthitadhi Roy , Jens H. Bardarson , Ivan M. Khaymovich

We investigate a one-dimensional tight-binding model in which onsite potentials $\{\varepsilon_i\}$ exhibit power-law spatial correlations (with exponent $\alpha$) and the hopping amplitudes decay as $t_{ij}\sim |i-j|^{-\beta}$. This…

强关联电子 · 物理学 2025-11-25 Mohammad Pouranvari

A new paradigm of Anderson localization caused by correlations in the long-range hopping along with uncorrelated on-site disorder is considered which requires a more precise formulation of the basic localization-delocalization principles. A…

无序系统与神经网络 · 物理学 2019-03-20 P. Nosov , I. M. Khaymovich , V. E. Kravtsov

This article investigates the effect for random pinning models of long range power-law decaying correlations in the environment. For a particular type of environment based on a renewal construction, we are able to sharply describe the phase…

概率论 · 数学 2025-08-15 Quentin Berger , Hubert Lacoin

We investigate a tight-binding electronic chain featuring diagonal and off-diagonal disorder, these being modelled through the long-range-correlated fractional Brownian motion. Particularly, by employing exact diagonalization methods, we…

无序系统与神经网络 · 物理学 2018-10-16 Guilherme M. A. Almeida , Caio V. C. Mendes , Marcelo L. Lyra , Francisco A. B. F. de Moura
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