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相关论文: Level-Spacing Distributions of Planar Quasiperiodi…

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We study statistical properties of energy spectra of a tight-binding model on the two-dimensional quasiperiodic Ammann-Beenker tiling. Taking into account the symmetries of finite approximants, we find that the underlying universal…

无序系统与神经网络 · 物理学 2015-06-25 Michael Schreiber , Uwe Grimm , Rudolf A. Roemer , Jian-Xin Zhong

We study statistical properties of the energy spectra of two-dimensional quasiperiodic tight-binding models. The multifractal nature of the eigenstates of these models is corroborated by the scaling of the participation numbers with the…

无序系统与神经网络 · 物理学 2007-05-23 Uwe Grimm , Rudolf A. Roemer , Michael Schreiber , Jian-Xin Zhong

The ratio of two consecutive level spacings has emerged as a very useful metric in investigating universal features exhibited by complex spectra. It does not require the knowledge of density of states and is therefore quite convenient to…

数学物理 · 物理学 2020-02-04 Ayana Sarkar , Manuja Kothiyal , Santosh Kumar

The nearest-neighbor level-spacing distributions are a fundamental quantity of disordered systems and universal. It is well-known that extended and localized states of random Hermitian systems follow the Wigner-Dyson and the Poison…

无序系统与神经网络 · 物理学 2022-08-23 C. Wang , X. R. Wang

A numerical study is made of the spectra of a tight-binding hamiltonian on square approximants of the quasiperiodic octagonal tiling. Tilings may be pure or random, with different degrees of phason disorder considered. The level statistics…

凝聚态物理 · 物理学 2009-10-22 Frederic Piechon , Anuradha Jagannathan

We derive expressions for the probability distribution of the ratio of two consecutive level spacings for the classical ensembles of random matrices. This ratio distribution was recently introduced to study spectral properties of many-body…

数学物理 · 物理学 2013-02-27 Y. Y. Atas , E. Bogomolny , O. Giraud , G. Roux

We consider the nearest-neighbor spacing distributions of mixed random matrix ensembles interpolating between different symmetry classes, or between integrable and non-integrable systems. We derive analytical formulas for the spacing…

数学物理 · 物理学 2012-08-22 Sebastian Schierenberg , Falk Bruckmann , Tilo Wettig

Correlations between energy levels can help distinguish whether a many-body system is of integrable or chaotic nature. The study of short-range and long-range spectral correlations generally involves quantities which are very different,…

量子物理 · 物理学 2025-11-06 Ruth Shir , Pablo Martinez-Azcona , Aurélia Chenu

The distribution of the ratios of nearest neighbor level spacings has become a popular indicator of spectral fluctuations in complex quantum systems like interacting many-body localized and thermalization phases, quantum chaotic systems,…

量子物理 · 物理学 2021-08-12 S. Harshini Tekur , Udaysinh T. Bhosale , M. S. Santhanam

The energy level statistics of 2D electrons with spin-orbit scattering are considered near the disorder induced metal-insulator transition. Using the Ando model, the nearest-level-spacing distribution is calculated numerically at the…

凝聚态物理 · 物理学 2009-10-28 L. Schweitzer , I. Kh. Zharekeshev

Absence of level repulsion between extended states in random non-Hermitian systems is demonstrated. As a result, the general Wigner-Dyson distributions of level spacing of diffusive metals in the usual Hermitian systems is replaced by the…

介观与纳米尺度物理 · 物理学 2020-04-22 C. Wang , X. R. Wang

The level-spacing distributions of XXZ spin chains with next-nearest-neighbor couplings are studied under periodic boundary conditions. We confirm that integrable XXZ spin chains mostly have the Poisson distribution as expected. On the…

统计力学 · 物理学 2009-11-10 Kazue Kudo , Tetsuo Deguchi

Level statistics is a crucial tool in the exploration of localization physics. The level spacing distribution of the disordered localized phase follows Poisson statistics, and many studies naturally apply it to the quasiperiodic localized…

无序系统与神经网络 · 物理学 2024-06-28 Chao Yang , Yucheng Wang

We consider a tight-binding Hamiltonian defined on the quasiperiodic Ammann-Beenker tiling. Although the density of states (DOS) is rather spiky, the integrated DOS is quite smooth and can be used to perform spectral unfolding. The effect…

无序系统与神经网络 · 物理学 2007-05-23 Michael Schreiber , Uwe Grimm , Rudolf A. Roemer , Jian-Xin Zhong

The distribution of higher order level spacings, i.e. the distribution of $\{s_{i}^{(n)}=E_{i+n}-E_{i}\}$ with $n\geq 1$ is derived analytically using a Wigner-like surmise for Gaussian ensembles of random matrix as well as Poisson…

无序系统与神经网络 · 物理学 2020-08-05 Wen-Jia Rao

In this article the statistical properties of symmetrical random matrices whose elements are drawn from a q-parametrized non-extensive statistics power-law distribution are investigated. In the limit as q->1 the well known Gaussian…

统计力学 · 物理学 2007-05-23 John Evans , Fredrick Michael

We consider orthogonal, unitary, and symplectic ensembles of random matrices with (1/a)(ln x)^2 potentials, which obey spectral statistics different from the Wigner-Dyson and are argued to have multifractal eigenstates. If the coefficient…

无序系统与神经网络 · 物理学 2009-10-31 Shinsuke M. Nishigaki

In this communication, we study the level-spectra statistics when a noninteracting electron gas is confined in \textit{Sierpi\'{n}ski Carpet} (\textit{SC}) lattices. These \textit{SC} lattices are constructed under two representative…

介观与纳米尺度物理 · 物理学 2023-04-05 Qi Yao , Xiao-Tian Yang , Askar A. Iliasov , M. I. Katsnelson , Shengjun Yuan

Analytic and numerical results for quasiperiodic tight-binding models are reviewed, with emphasis on two and three-dimensional models which so far are beyond a mathematically rigorous treatment. In particular, we consider energy spectra of…

无序系统与神经网络 · 物理学 2007-05-23 Uwe Grimm , Michael Schreiber

We study the distribution of non-overlapping spacing ratios of higher-orders for complex interacting many-body quantum systems, with and without spin degree of freedom (in addition to the particle number). The Hamiltonian of such systems is…

统计力学 · 物理学 2019-12-13 Priyanka Rao , Manan Vyas , N. D. Chavda
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