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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

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

The key concept of mobility edge, which marks the critical transition between extended and localized states in energy domain, has attracted significant interest in the cutting-edge frontiers of modern physics due to its profound…

无序系统与神经网络 · 物理学 2025-09-25 Li Wang , Zhenbo Wang , Jiaqi Liu , Shu Chen

Whether the many-body mobility edges can exist in a one-dimensional interacting quantum system is a controversial problem, mainly hampered by the limited system sizes amenable to numerical simulations. We investigate the transition from…

无序系统与神经网络 · 物理学 2020-01-14 Xingbo Wei , Rubem Mondaini , Gao Xianlong

Mobility edge (ME) has played an essential role in disordered models. However, while this concept has been well established in disordered single-particle models, its existence in disordered many-body models is still under controversy. Here,…

无序系统与神经网络 · 物理学 2023-07-06 Xiaoshui Lin , Ming Gong , Guang-Can Guo

We introduce a self-consistent theory of mobility edges in nearest-neighbour tight-binding chains with quasiperiodic potentials. Demarcating boundaries between localised and extended states in the space of system parameters and energy,…

无序系统与神经网络 · 物理学 2021-02-10 Alexander Duthie , Sthitadhi Roy , David E. Logan

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

The mobility edge (ME) is a fundamental concept in the Anderson localized systems, which marks the energy separating extended and localized states. Although the ME and localization phenomena have been extensively studied in non-Hermitian…

无序系统与神经网络 · 物理学 2025-09-10 Xiang-Ping Jiang , Zhende Liu , Yayun Hu , Lei Pan

Unlike the well-known Mott's argument that extended and localized states should not coexist at the same energy in a generic random potential, we provide an example of a nearest-neighbor tight-binding disordered model which carries both…

无序系统与神经网络 · 物理学 2024-01-24 Adway Kumar Das , Anandamohan Ghosh , Ivan M. Khaymovich

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 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

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 interaction between non-reciprocity and disorder-free localization has emerged as a fascinating open question. Here, we explore the effects of pseudo mobility edges (MEs) along with different types of eigenstates in a one-dimensional…

无序系统与神经网络 · 物理学 2025-01-30 Yu-Jun Zhao , Han-Ze Li , Xuyang Huang , Shan-Zhong Li , Jian-Xin Zhong

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

Mobility edges (ME), i.e. critical energies which separate absolutely continuous spectrum and purely point spectrum, is an important issue in quantum physics. So far there are two experimentally feasible 1D quasiperiodic models that have…

动力系统 · 数学 2023-08-02 Yongjian Wang , Xu Xia , Jiangong You , Zuohuan Zheng , Qi Zhou

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

We study the one-dimensional tight-binding model with quasi-periodic disorders, where the quasi-period is tuned to be very large. It is found that this type of model with large quasi-periodic disorders can also support the mobility edges,…

无序系统与神经网络 · 物理学 2023-02-22 Qiyun Tang , Yan He

The exponential family of random graphs represents an important and challenging class of network models. Despite their flexibility, conventionally used exponential random graphs have one shortcoming. They cannot directly model weighted…

概率论 · 数学 2016-07-15 Mei Yin

We obtain approximate solutions defining the mobility edge separating localized and extended states for several classes of generic one-dimensional quasiperiodic models. We validate our analytical ansatz with exact numerical calculations.…

无序系统与神经网络 · 物理学 2023-06-30 DinhDuy Vu , Sankar Das Sarma

We investigate the appearance of mobility edges in a one-dimensional non-Hermitian tight-banding model with alternating hopping constants and slowly varying quasi-periodic on-site potentials. Due to the presence of slowly varying exponent,…

无序系统与神经网络 · 物理学 2024-11-22 Qiyun Tang , Yan He
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