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We propose a measure, which we call the dissipative spectral form factor (DSFF), to characterize the spectral statistics of non-Hermitian (and non-Unitary) matrices. We show that DSFF successfully diagnoses dissipative quantum chaos, and…

Statistical Mechanics · Physics 2021-11-03 Jiachen Li , Tomaž Prosen , Amos Chan

We show that non-Hermitian Ginibre random matrix behaviors emerge in spatially-extended many-body quantum chaotic systems in the space direction, just as Hermitian random matrix behaviors emerge in chaotic systems in the time direction.…

Statistical Mechanics · Physics 2023-04-11 Saumya Shivam , Andrea De Luca , David A. Huse , Amos Chan

Non-Hermitian physics has unveiled unconventional spectral, topological and critical phenomena, challenging traditional band theories. This thesis advances its understanding in three aspects. First, the non-Hermitian skin effect (NHSE) is…

Mesoscale and Nanoscale Physics · Physics 2025-02-18 Qingya Li

Different perturbation theory treatments of the Ginzburg-Landau phase transition model are discussed. This includes a criticism of the perturbative renormalization group (RG) approach and a proposal of a novel method providing critical…

Statistical Mechanics · Physics 2017-09-27 J. Kaupuzs

We prove that, for general test functions, the limiting behavior of the linear statistic of an independent entry random matrix is determined only by the first four moments of the entry distributions. This immediately generalizes the known…

Probability · Mathematics 2015-10-13 Phil Kopel

A second order phase transition for the three dimensional Gross-Neveu model is established for one fermion species N=1. This transition breaks a paritylike discrete symmetry. It constitutes its peculiar universality class with critical…

Statistical Mechanics · Physics 2009-11-07 F. Hoefling , C. Nowak , C. Wetterich

The real Ginibre ensemble consists of random $N \times N$ matrices formed from i.i.d. standard Gaussian entries. By using the method of skew orthogonal polynomials, the general $n$-point correlations for the real eigenvalues, and for the…

Statistical Mechanics · Physics 2015-06-16 Peter J. Forrester , Taro Nagao

We study multiplicative statistics for the eigenvalues of unitarily-invariant Hermitian random matrix models. We consider one-cut regular polynomial potentials and a large class of multiplicative statistics. We show that in the large matrix…

Mathematical Physics · Physics 2022-11-30 Promit Ghosal , Guilherme L. F. Silva

We investigate the statistical properties of the eigenvalues and eigenvectors in a random matrix ensemble with $H_{ij}\sim |i-j|^{-\mu}$. It is known that this model shows a localization-delocalization transition (LDT) as a function of the…

Disordered Systems and Neural Networks · Physics 2009-10-31 Imre Varga , Daniel Braun

The edge of a quantum critical system can exhibit multiple distinct types of boundary criticality. We use a numerical real-space renormalization group (RSRG) to study the boundary criticality of a 2d quantum Ising model with random exchange…

Strongly Correlated Electrons · Physics 2025-01-07 Gaurav Tenkila , Romain Vasseur , Andrew C. Potter

Level curvature is a measure of sensitivity of energy levels of a disordered/chaotic system to perturbations. In the bulk of the spectrum Random Matrix Theory predicts the probability distributions of level curvatures to be given by…

Mathematical Physics · Physics 2012-02-23 Yan V Fyodorov

Exceptional points are interesting physical phenomena in non-Hermitian physics at which the eigenvalues are degenerate and the eigenvectors coalesce. In this paper, we find that the universal feature of arbitrary non-Hermitian two level…

Quantum Physics · Physics 2022-01-25 X. R. Wang , F. Yang , X. J. Yu , X. Q. Tong , S. P. Kou

We consider the eigenvalues of symplectic elliptic Ginibre matrices which are known to form a Pfaffian point process whose correlation kernel can be expressed in terms of the skew-orthogonal Hermite polynomials. We derive the scaling limits…

Probability · Mathematics 2022-08-23 Sung-Soo Byun , Markus Ebke

We construct approximate transport maps for perturbative several-matrix models. As a consequence, we deduce that local statistics have the same asymptotic as in the case of independent GUE or GOE matrices, i.e., they are given by the…

Probability · Mathematics 2016-03-21 Alessio Figalli , Alice Guionnet

A possibly fruitful extension of conventional random matrix ensembles is proposed by imposing symmetry constraints on conventional Hermitian matrices or parity-time- (PT-) symmetric matrices. To illustrate the main idea, we first study 2*2…

Quantum Physics · Physics 2015-06-04 Jiangbin Gong , Qing-hai Wang

In this paper, we study a certain linear statistics of the unitary Laguerre ensembles, motivated in part by an integrable quantum field theory at finite temperature. It transpires that this is equivalent to the characterization of a…

Classical Analysis and ODEs · Mathematics 2009-02-04 Yang Chen , Alexander Its

We study level statistics of a critical random matrix ensemble of a power-law banded complex Hermitean matrices. We compute numerically the level compressibility via the level number variance and compare it with the analytical formula for…

Mesoscale and Nanoscale Physics · Physics 2009-11-10 Macleans L. Ndawana , V. E. Kravtsov

The classification of point gap topology in all local non-Hermitian symmetry classes has been recently established. However, many entries in the resulting periodic table have only been discussed in a formal setting and still lack a physical…

Mesoscale and Nanoscale Physics · Physics 2023-09-04 M. Michael Denner , Titus Neupert , Frank Schindler

The spectral statistics of non-Hermitian random matrices are of importance as a diagnostic tool for chaotic behavior in open quantum systems. Here, we investigate the statistical properties of singular values in non-Hermitian random…

Mesoscale and Nanoscale Physics · Physics 2023-10-19 Kohei Kawabata , Zhenyu Xiao , Tomi Ohtsuki , Ryuichi Shindou

The Ginibre point process is one of the main examples of deter- minantal point processes on the complex plane. It forms a recurring model in stochastic matrix theory as well as in pratical applications. However, this model has mostly been…

Probability · Mathematics 2018-07-30 Laurent Decreusefond , Ian Flint , Anaïs Vergne
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