English
Related papers

Related papers: On the singular values of matrices with displaceme…

200 papers

We study Helson matrices (also known as multiplicative Hankel matrices), i.e. infinite matrices of the form $M(\alpha) = \{\alpha(nm)\}_{n,m=1}^\infty$, where $\alpha$ is a sequence of complex numbers. Helson matrices are considered as…

Functional Analysis · Mathematics 2017-08-31 Karl-Mikael Perfekt , Alexander Pushnitski

The numerical solution of eigenvalue problems is essential in various application areas of scientific and engineering domains. In many problem classes, the practical interest is only a small subset of eigenvalues so it is unnecessary to…

Numerical Analysis · Mathematics 2023-11-16 M. Ridwan Apriansyah , Rio Yokota

When $0\lt \rho \lt 1$, the Kac-Murdock-Szeg\"o matrix $K_n(\rho)=\left[\rho^{\lvert j-k \rvert}\right]_{j,k=1}^n$ is a Toeplitz correlation matrix with many applications and very well known spectral properties. We study the eigenvalues and…

Numerical Analysis · Mathematics 2018-04-24 George Fikioris

Denote by $\lambda_1(A), \ldots, \lambda_n(A)$ the eigenvalues of an $(n\times n)$-matrix $A$. Let $Z_n$ be an $(n\times n)$-matrix chosen uniformly at random from the matrix analogue to the classical $\ell_ p^n$-ball, defined as the set of…

Probability · Mathematics 2018-08-16 Zakhar Kabluchko , Joscha Prochno , Christoph Thaele

We study the least singular value of the $n\times n$ matrix $H-z$ with $H=A_0+H_0$, where $H_0$ is drawn from the complex Ginibre ensemble of matrices with iid Gaussian entries, and $A_0$ is some general $n\times n$ matrix with complex…

Mathematical Physics · Physics 2022-10-19 Mariya Shcherbina , Tatyana Shcherbina

In 1989 we proposed to employ Vandermonde and Hankel multipliers to transform into each other the matrix structures of Toeplitz, Hankel, Vandermonde and Cauchy types as a means of extending any successful algorithm for the inversion of…

Numerical Analysis · Mathematics 2013-03-05 Victor Y. Pan

Given a $(k+1)$-tuple $A, B_1,...,B_k$ of $(m\times n)$-matrices with $m\le n$ we call the set of all $k$-tuples of complex numbers $\{\la_1,...,\la_k\}$ such that the linear combination $A+\la_1B_1+\la_2B_2+...+\la_kB_k$ has rank smaller…

Algebraic Geometry · Mathematics 2007-11-26 Julius Borcea , Boris Shapiro , Michael Shapiro

We prove explicit lower bounds for the smallest singular value and upper bounds for the condition number of rectangular, multivariate Vandermonde matrices with scattered nodes on the complex unit circle. Analogously to the Shannon-Nyquist…

Numerical Analysis · Mathematics 2021-03-16 Stefan Kunis , Dominik Nagel , Anna Strotmann

We consider a Wigner-type ensemble, i.e. large hermitian $N\times N$ random matrices $H=H^*$ with centered independent entries and with a general matrix of variances $S_{xy}=\mathbb E|H_{xy}|^2$. The norm of $H$ is asymptotically given by…

Probability · Mathematics 2018-02-15 László Erdős , Peter Mühlbacher

Balanced truncation and singular perturbation approximation for linear dynamical systems yield reduced-order models that satisfy a well-known error bound involving the Hankel singular values. We show that this bound holds with equality for…

Systems and Control · Electrical Eng. & Systems 2024-01-18 Sean Reiter , Tobias Damm , Mark Embree , Serkan Gugercin

It is known that singular values of idempotent matrices are either zero or larger or equal to one \cite{HouC63}. We state exactly how many singular values greater than one, equal to one, and equal to zero there are. Moreover, we derive a…

Numerical Analysis · Mathematics 2024-03-11 Heike Faßbender , Martin Halwaß

For a fixed $n\ge2$, consider an $n\times n$ matrix $M$ whose entries are random integers bounded by $k$ in absolute value. In this paper, we examine the probability that $M$ is singular (hence has eigenvalue 0), and the probability that…

Number Theory · Mathematics 2007-12-20 Greg Martin , Erick B. Wong

Let $A$ be an $n\times n$ random matrix with independent, identically distributed mean 0, variance 1 subgaussian entries. We prove that $$ \mathbb{P}(A\text{ has distinct singular values})\geq 1-e^{-cn} $$ for some $c>0$, confirming a…

Probability · Mathematics 2025-03-04 Yi Han

In this note, we present the determinant, the inverse and a lower bound for the smallest eigenvalue for some Hankel matrices

Classical Analysis and ODEs · Mathematics 2009-06-23 Ruiming Zhang

We consider n by n real matrices whose entries are non-degenerate random variables that are independent but non necessarily identically distributed, and show that the probability that such a matrix is singular is O(1/sqrt{n}). The purpose…

Probability · Mathematics 2008-01-09 Laurent Bruneau , Francois Germinet

We continue our study of the Johnson-Lindenstrauss lemma and its connection to circulant matrices started in \cite{HV}. We reduce the bound on $k$ from $k=O(\epsilon^{-2}\log^3n)$ proven there to $k=O(\epsilon^{-2}\log^2n)$. Our technique…

Functional Analysis · Mathematics 2010-02-16 Jan Vybíral

We consider $n\times n$ non-Hermitian random matrices with independent entries and a variance profile, as well as an additive deterministic diagonal deformation. We show that their empirical eigenvalue distribution converges to a limiting…

Probability · Mathematics 2024-11-11 Johannes Alt , Torben Krüger

We develop a systematic framework for determining the nature of exceptional points of $n^{\rm th}$ order (EP$_n$s) in non-Hermitian (NH) systems, represented by complex square matrices. By expressing symmetry-preserving perturbations in the…

Mesoscale and Nanoscale Physics · Physics 2026-03-27 Ipsita Mandal

We characterize the eigenvalues and eigenvectors of a class of complex valued tridiagonal $n$ by $n$ matrices subject to arbitrary boundary conditions, i.e. with arbitrary elements on the first and last rows of the matrix. %By boundary…

Numerical Analysis · Mathematics 2018-01-17 J. J. P. Veerman , D. K. Hammond , Pablo E. Baldivieso

We present a theoretical framework for deriving the general $n$-th order Fr\'echet derivatives of singular values in real rectangular matrices, by leveraging reduced resolvent operators from Kato's analytic perturbation theory for…

Machine Learning · Statistics 2025-11-17 Róisín Luo , James McDermott , Colm O'Riordan