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We study the time dynamics of random density matrices generated by evolving the same pure state using a Gaussian orthogonal ensemble (GOE) of Hamiltonians. We show that the spectral statistics of the resulting mixed state is well described…

In this work, we study some statistical properties of the extreme eigenstates of the randomly-weighted adjacency matrices of random graphs. We focus on two random graph models: Erd\H{o}s-R\'{e}nyi (ER) graphs and random geometric graphs…

无序系统与神经网络 · 物理学 2025-06-17 C. T Martínez Martínez , J. A. Méndez Bermúdez

We study the reduced energy spectrum $\{E_{i}^{(n)}\}$, which is constructed by picking one level from every $n$ levels of the original spectrum $\{E_{i}\}$, in a Gaussian ensemble of random matrix with Dyson index $\beta\in \left( 0,\infty…

无序系统与神经网络 · 物理学 2021-01-19 Wen-Jia Rao , M. N. Chen

We consider eigenvectors of the Hamiltonian $H_0$ perturbed by a generic perturbation $V$ modelled by a random matrix from the Gaussian Unitary Ensemble (GUE). Using the supersymmetry approach we derive analytical results for the statistics…

无序系统与神经网络 · 物理学 2017-01-04 Kevin Truong , Alexander Ossipov

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

We consider the single eigenvalue fluctuations of random matrices of general Wigner-type, under a one-cut assumption on the density of states. For eigenvalues in the bulk, we prove that the asymptotic fluctuations of a single eigenvalue…

数学物理 · 物理学 2022-12-07 Benjamin Landon , Patrick Lopatto , Philippe Sosoe

The averages of ratios of characteristic polynomials det(lambda - X) of N x N random matrices X, are investigated in the large N limit for the GUE, GOE and GSE ensemble. The density of states and the two-point correlation function are…

数学物理 · 物理学 2009-11-07 E. Brezin , S. Hikami

This paper proposes a new framework to regularize the highly ill-posed and non-linear phase retrieval problem through deep generative priors using simple gradient descent algorithm. We experimentally show effectiveness of proposed algorithm…

机器学习 · 计算机科学 2018-08-20 Fahad Shamshad , Ali Ahmed

We prove that the persistence diagram of the sublevel set filtration of the quadratic form f(x) = x^T M x restricted to the unit sphere S^{n-1} is analytically determined by the eigenvalues of the symmetric matrix M. By Morse theory, the…

机器学习 · 统计学 2026-03-31 Matthew Loftus

We investigate the spectral properties of a generalized GOE (Gaussian Orthogonal Ensemble) capable of describing critical statistics. The joint distribution of eigenvalues of this model is expressed as the diagonal element of the density…

无序系统与神经网络 · 物理学 2009-11-07 A. M. Garcia-Garcia , J. J. M. Verbaarschot

Sequences of certain finite graphs, antitrees, are constructed along which the Anderson model shows GOE statistics, i.e. a re-scaled eigenvalue process converges to the ${\rm Sine}_1$ process. The Anderson model on the graph is a random…

数学物理 · 物理学 2018-06-15 Christian Sadel

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

Level-spacing distributions of the Gaussian Unitary Ensemble (GUE) of random matrix theory are expressed in terms of solutions of coupled differential equations. Series solutions up to order 50 in the level spacing are obtained, thus…

无序系统与神经网络 · 物理学 2007-05-23 Uwe Grimm

The new Theorem on location of maximum of probability density functions of dimensionless second difference of the three adjacent energy levels for $N$-dimensional Gaussian orthogonal ensemble GOE($N$), $N$-dimensional Gaussian unitary…

统计力学 · 物理学 2007-05-23 Maciej M. Duras

This work performs a non-asymptotic analysis of the generalized Lasso under the assumption of sub-exponential data. Our main results continue recent research on the benchmark case of (sub-)Gaussian sample distributions and thereby explore…

统计理论 · 数学 2023-01-18 Martin Genzel , Christian Kipp

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

We study the universality of spectral statistics of large random matrices. We consider $N\times N$ symmetric, hermitian or quaternion self-dual random matrices with independent, identically distributed entries (Wigner matrices) where the…

数学物理 · 物理学 2015-05-18 Laszlo Erdos

We investigate the spectra of adjacency matrices of multiplex networks under random matrix theory (RMT) framework. Through extensive numerical experiments, we demonstrate that upon multiplexing two random networks, the spectra of the…

统计力学 · 物理学 2021-11-10 Tanu Raghav , Sarika Jalan

We generalize normal mode expansion of Green's tensor $\bar{\bar{G}}(\bf{r},\bf{r}')$ to lossy resonators in open systems, resolving a longstanding open challenge. We obtain a simple yet robust formulation, whereby radiation of energy to…

光学 · 物理学 2019-04-10 Parry Y. Chen , David J. Bergman , Yonatan Sivan

We introduce a two-parameter ensemble of generalized $2\times 2$ real symmetric random matrices called the $\beta$-Rosenzweig-Porter ensemble (\brpe), parameterized by $\beta$, a fictitious inverse temperature of the analogous Coulomb gas…

无序系统与神经网络 · 物理学 2024-01-03 Adway Kumar Das , Anandamohan Ghosh