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This paper deals with the problem of parameter estimation based on certain eigenspaces of the empirical covariance matrix of an observed multidimensional time series, in the case where the time series dimension and the observation window…

Probability · Mathematics 2012-08-22 Walid Hachem , Philippe Loubaton , X. Mestre , Jamal Najim , Pascal Vallet

Let $A$ be a full ranked $ n\times n$ matrix, with singular values $\sigma_1 (A) \ge \dots \ge \sigma_n (A) >0$. The condition number $\kappa(A):= \sigma_1(A)/\sigma_n(A)=\|A\|\cdot \|A\|^{-1}$ is a key parameter in the analysis of…

Numerical Analysis · Mathematics 2026-04-07 Phuc Tran , Van Vu

Let $f$ be a regular real-valued non-constant symbol defined on the one dimensional torus ${\mathbb T}$. Denote respectively by $\kappa$ and $T$, its set of critical points and the associated Toeplitz matrix on $l^2({\mathbb N})$. If $V$ is…

Functional Analysis · Mathematics 2015-04-21 M. A. Astaburuaga , O. Bourget , V. H. Cortés

A large i.i.d. random matrix with deterministic low-rank perturbation has been extensively studied, particularly in the aspects of the ESD (Empirical Spectral Distribution) and the outliers of eigenvalues. In this work, we investigate the…

Information Theory · Computer Science 2025-06-24 Kun Chen , Zhihua Zhang

For an infinite Toeplitz matrix $T$ with nonnegative real entries we find the conditions, under which the equation $\boldsymbol{x}=T\boldsymbol{x}$, where $\boldsymbol{x}$ is an infinite vector-column, has a nontrivial bounded positive…

Probability · Mathematics 2023-06-22 Vyacheslav M. Abramov

This paper considers the empirical spectral measure of a power of a random matrix drawn uniformly from one of the compact classical matrix groups. We give sharp bounds on the $L_p$-Wasserstein distances between this empirical measure and…

Probability · Mathematics 2013-09-26 Elizabeth Meckes , Mark Meckes

Modern applications in statistics, computer science and network science have seen tremendous values of finer matrix spectral perturbation theory. In this paper, we derive a generic $\ell_{2\rightarrow\infty}$ eigenspace perturbation bound…

Probability · Mathematics 2020-04-28 Lihua Lei

This paper is concerned with the Stein's method associated with a (possibly) asymmetric $\alpha$-stable distribution $Z$, in dimension one. More precisely, its goal is twofold. In the first part, we exhibit a genuine bound for the…

Probability · Mathematics 2018-09-12 Peng Chen , Ivan Nourdin , Lihu Xu

In this article we study conditions to be a continuous or a measurable eigenvalue of finite rank minimal Cantor systems, that is, systems given by an ordered Bratteli diagram with a bounded number of vertices per level. We prove that…

Dynamical Systems · Mathematics 2012-08-17 Xavier Bressaud , Fabien Durand , Alejandro Maass

This is a first paper by the authors dedicated to the distribution of eigenvalues for random perturbations of large bidiagonal Toeplitz matrices.

Spectral Theory · Mathematics 2015-12-21 Johannes Sjoestrand , Martin Vogel

We study two specific symmetric random block Toeplitz (of dimension $k \times k$) matrices: where the blocks (of size $n \times n$) are (i) matrices with i.i.d. entries, and (ii) asymmetric Toeplitz matrices. Under suitable assumptions on…

Probability · Mathematics 2011-11-09 Riddhipratim Basu , Arup Bose , Shirshendu Ganguly , Rajat Subhra Hazra

This paper establishes limit theorems and quantitative statistical stability for a class of piecewise partially hyperbolic maps that are not necessarily continuous nor locally invertible. By employing a flexible functional-analytic…

Dynamical Systems · Mathematics 2026-02-20 Rafael A. Bilbao , Rafael Lucena

We consider a string with fixed endpoints where the mass density and/or the elastic coefficient vary in a self-affine way as function of position. It is demonstrated how the eigenvalues in the asymptotic limit are distributed. Scaling laws…

Disordered Systems and Neural Networks · Physics 2007-05-23 Ingve Simonsen , Alex Hansen

Understanding the limiting behavior of eigenvalues of random matrices is the central problem of random matrix theory. Classical limit results are known for many models, and there has been significant recent progress in obtaining more…

Probability · Mathematics 2017-09-05 Elizabeth S. Meckes , Mark W. Meckes

We investigate the effect of non-symmetric relatively bounded perturbations on the spectrum of self-adjoint operators. In particular, we establish stability theorems for one or infinitely many spectral gaps along with corresponding…

Spectral Theory · Mathematics 2016-04-04 Jean-Claude Cuenin , Christiane Tretter

Pseudospectral analysis serves as a powerful tool in matrix computation and the study of both linear and nonlinear dynamical systems. Among various numerical strategies, random sampling, especially in the form of rank-$1$ perturbations,…

Spectral Theory · Mathematics 2025-05-19 Kuo Gai , Bin Shi

The aim of this paper is to study measure-theoretical rigidity and partial rigidity for classes of Cantor dynamical systems including Toeplitz systems and enumeration systems. We use Bratteli diagrams to control invariant measures that are…

Dynamical Systems · Mathematics 2025-02-04 Henk Bruin , Olena Karpel , Piotr Oprocha , Silvia Radinger

We study the symmetry resolved entanglement entropies in one-dimensional systems with boundaries. We provide some general results for conformal invariant theories and then move to a semi-infinite chain of free fermions. We consider both an…

Statistical Mechanics · Physics 2021-09-30 Riccarda Bonsignori , Pasquale Calabrese

We prove universality of local eigenvalue statistics in the bulk of the spectrum for orthogonal invariant matrix models with real analytic potentials with one interval limiting spectrum. Our starting point is the Tracy-Widom formula for the…

Mathematical Physics · Physics 2009-11-13 M. Shcherbina

We prove the circular law for a class of non-Hermitian random block band matrices with genuinely sublinear bandwidth. Namely, we show there exists $\tau \in (0,1)$ so that if the bandwidth of the matrix $X$ is at least $n^{1-\tau}$ and the…

Probability · Mathematics 2021-09-01 Vishesh Jain , Indrajit Jana , Kyle Luh , Sean O'Rourke