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Related papers: Structured eigenvalue backward errors for rational…

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The aim of this manuscript is to derive bounds on the moduli of eigenvalues of special type of rational matrices of the form $T(\lambda) = \displaystyle -B_0 +I\lambda +\frac{B_1}{\lambda-\alpha_1}+ \dots+ \frac{B_m}{\lambda-\alpha_m}$,…

Spectral Theory · Mathematics 2025-10-13 Pallavi Basavaraju , Shrinath Hadimani , Sachindranath Jayaraman

Let $$ A=\left(\begin{array}{cc} H_1 & E^*\\ E & H_2\end{array}\right) \quad \hbox{ and } \quad \wtd A=\left(\begin{array}{cc} H_1 & O\\ O & H_2\end{array}\right)$$ be two $N$-by-$N$ Hermitian matrices with eigenvalues $\lambda_1 \ge \cdots…

Numerical Analysis · Mathematics 2025-08-12 Chi-Kwong Li , Ren-Cang Li

It is shown that for a given infinite graph $G$ on countably many vertices, and a compact, infinite set of real numbers $\Lambda$ there is a real symmetric matrix $A$ whose graph is $G$ and its spectrum is $\Lambda$. Moreover, the set of…

Spectral Theory · Mathematics 2016-10-06 Keivan Hassani Monfared , Ehssan Khanmohammadi

A non-singular sesquilinear form is constructed that is preserved by the Lawrence-Krammer representation. It is shown that if the polynomial variables q and t of the Lawrence-Krammer representation are chosen to be appropriate algebraically…

Geometric Topology · Mathematics 2007-05-23 Ryan Budney

In this article we study the structured distance to singularity for a nonsingular matrix $A\in\mathbb{C}^{n\times n}$, with a prescribed linear structure $\mathcal{S}$ (for instance, a sparsity pattern, or a real Toeplitz structure), i.e.,…

Numerical Analysis · Mathematics 2026-03-06 Miryam Gnazzo , Nicola Guglielmi , Federico Poloni , Stefano Sicilia

We consider nonnormal matrix-valued dynamical systems with discrete time. For an eigenvalue of matrix, the number of times it appears as a root of the characteristic polynomial is called the algebraic multiplicity. On the other hand, the…

Mathematical Physics · Physics 2025-11-12 Saori Morimoto , Makoto Katori , Tomoyuki Shirai

We show that the set of $m \times m$ complex skew-symmetric matrix polynomials of even grade $d$, i.e., of degree at most $d$, and (normal) rank at most $2r$ is the closure of the single set of matrix polynomials with certain, explicitly…

Representation Theory · Mathematics 2023-12-29 Fernando De Terán , Andrii Dmytryshyn , Froilán M. Dopico

This paper studies the link between the number of critical eigenvalues and the number of delays in certain classes of delay-differential equations. There are two main results. The first states that for k purely imaginary numbers which are…

Dynamical Systems · Mathematics 2009-11-13 Pietro-Luciano Buono , Victor G. LeBlanc

The inverse eigenvalue problem for real symmetric matrices of the form 0 0 0 . 0 0 * 0 0 0 . 0 * * 0 0 0 . * * 0 . . . . . . . 0 0 * . 0 0 0 0 * * . 0 0 0 * * 0 . 0 0 0 is solved. The solution is shown to be unique. The problem is also…

Rings and Algebras · Mathematics 2007-05-23 Olga Holtz

Recently, three numerical methods for the computation of eigenvalues of singular matrix pencils, based on a rank-completing perturbation, a rank-projection, or an augmentation were developed. We show that all three approaches can be…

Numerical Analysis · Mathematics 2025-02-21 Michiel E. Hochstenbach , Christian Mehl , Bor Plestenjak

We analyze different measures for the backward error of a set of numerical approximations for the roots of a polynomial. We focus mainly on the element-wise mixed backward error introduced by Mastronardi and Van Dooren, and the tropical…

Numerical Analysis · Mathematics 2020-03-24 Simon Telen , Sascha Timme , Marc Van Barel

Consider an $n \times n$ matrix polynomial $P(\lambda)$. A spectral norm distance from $P(\lambda)$ to the set of $n \times n$ matrix polynomials that have a given scalar $\mu\in\mathbb{C}$ as a multiple eigenvalue was introduced and…

Numerical Analysis · Mathematics 2014-11-17 Esmaeil Kokabifar , G. B. Loghmani , A. M. Nazari , S. M. Karbassi

We revisit the relative perturbation theory for invariant subspaces of positive definite matrix pairs. As a prototype model problem for our results we consider parameter dependent families of eigenvalue problems. We show that new estimates…

Numerical Analysis · Mathematics 2010-11-22 Luka Grubišić , Ninoslav Truhar , Krešimir Veselić

We examine a class of embeddings based on structured random matrices with orthogonal rows which can be applied in many machine learning applications including dimensionality reduction and kernel approximation. For both the…

Machine Learning · Statistics 2018-09-05 Krzysztof Choromanski , Mark Rowland , Adrian Weller

We consider higher-rank versions of the standard numerical range for matrices. A central motivation for this investigation comes from quantum error correction. We develop the basic structure theory for the higher-rank numerical ranges, and…

Functional Analysis · Mathematics 2007-05-23 Man-Duen Choi , David W. Kribs , Karol Zyczkowski

We derive inclusion regions for the eigenvalues of matrix polynomials expressed in a general polynomial basis, which can lead to significantly better results than traditional bounds. We present several applications to engineering problems.

Numerical Analysis · Mathematics 2016-05-31 Aaron Melman

We study compositional inverses of permutation polynomials, complete mappings, mutually orthogonal Latin squares, and bent vectorial functions. Recently it was obtained in [33] the compositional inverses of linearized permutation binomials…

Number Theory · Mathematics 2014-09-24 Aleksandr Tuxanidy , Qiang Wang

In a previous work we apply lattice point theorems on hyperbolic spaces obtaining asymptotic formulas for the number of integral representations of negative integers by quadratic and hermitian forms of signature (n,1) lying in Euclidean…

Number Theory · Mathematics 2015-12-24 Emilio A. Lauret

Some problems of the quantum error-correcting codes theory can be reduced to the investigation of the higher-rank numerical ranges of the operators related to the error operators. We constructively verify a conjecture on the structure of…

Quantum Physics · Physics 2007-07-03 A. Ya. Kazakov

We study a family of structure-preserving deterministic numerical schemes for Lindblad equations. This family of schemes has a simple form and can systemically achieve arbitrary high-order accuracy in theory. Moreover, these schemes can…

Numerical Analysis · Mathematics 2025-08-05 Yu Cao , Jianfeng Lu
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