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This work is to provide a comprehensive treatment of the relationship between the theory of the generalized (palindromic) eigenvalue problem and the theory of the Sylvester-type equations. Under a regularity assumption for a specific matrix…

Numerical Analysis · Mathematics 2014-12-03 Matthew M. Lin , Chun-Yueh Chiang

Eigenvalue and eigenpair backward errors are computed for matrix pencils arising in optimal control. In particular, formulas for backward errors are developed that are obtained under block-structure-preserving and…

Numerical Analysis · Mathematics 2017-12-25 Christian Mehl , Volker Mehrmann , Punit Sharma

The numerical solution of singular eigenvalue problems is complicated by the fact that small perturbations of the coefficients may have an arbitrarily bad effect on eigenvalue accuracy. However, it has been known for a long time that such…

Numerical Analysis · Mathematics 2023-01-10 Daniel Kressner , Ivana Šain Glibić

The main objective of this talk is to develop a matrix pencil approach for the study of an initial value problem of a class of singular linear matrix differential equations whose coefficients are constant matrices. By using matrix pencil…

Dynamical Systems · Mathematics 2015-01-26 Grigoris Kalogeropoulos , Charalambos Kontzalis

In this article, we study a boundary value problem of a class of singular linear discrete time systems whose coefficients are non-square constant matrices or square with a matrix pencil which has an identically zero determinant. By taking…

Optimization and Control · Mathematics 2015-11-27 Ioannis K. Dassios

We design a fast implicit real QZ algorithm for eigenvalue computation of structured companion pencils arising from linearizations of polynomial rootfinding problems. The modified QZ algorithm computes the generalized eigenvalues of an…

Numerical Analysis · Mathematics 2017-03-27 Paola Boito , Yuli Eidelman , Luca Gemignani

We propose a contour integral-based algorithm for computing a few singular values of a matrix or a few generalized singular values of a matrix pair. Mathematically, the generalized singular values of a matrix pair are the eigenvalues of an…

Numerical Analysis · Mathematics 2026-03-10 Yuqi Liu , Xinyu Shan , Meiyue Shao

In this paper, we propose a new trace finite element method for the {Laplace-Beltrami} eigenvalue problem. The method is proposed directly on a smooth manifold which is implicitly given by a level-set function and require high order…

Numerical Analysis · Mathematics 2022-01-17 Song Lu , Xianmin Xu

A characterization of the structure of a regular matrix pencil obtained by a bounded rank perturbation of another regular matrix pencil has been recently obtained. The result generalizes the solution for the bounded rank perturbation…

Algebraic Geometry · Mathematics 2019-08-08 Itziar Baragaña , Alicia Roca

It is well known that the generalized (or quotient) singular values of a matrix pair $(A, C)$ can be obtained from the generalized eigenvalues of a matrix pencil consisting of two augmented matrices. The downside of this reformulation is…

Numerical Analysis · Mathematics 2019-12-19 Ian N. Zwaan

Often the easiest way to discretize an ordinary or partial differential equation is by a rectangular numerical method, in which n basis functions are sampled at m>>n collocation points. We show how eigenvalue problems can be solved in this…

Numerical Analysis · Mathematics 2021-12-28 Behnam Hashemi , Yuji Nakatsukasa , Lloyd N. Trefethen

The stated paper is dedicated to one of the inverse problems of spectral theory. It is necessary to define matrix (constant) coefficients of some quadratic pencil, if the eigenvalues of this pencil are known. Furthermore, it is known that…

Spectral Theory · Mathematics 2015-12-02 N. A. Aliyev , Y. Y. Mustafayeva , R. F. Efendiyev

This paper is a tutorial for eigenvalue and generalized eigenvalue problems. We first introduce eigenvalue problem, eigen-decomposition (spectral decomposition), and generalized eigenvalue problem. Then, we mention the optimization problems…

Machine Learning · Statistics 2023-05-23 Benyamin Ghojogh , Fakhri Karray , Mark Crowley

We solve the problem of determining the Weierstrass structure of a regular matrix pencil obtained by a low rank perturbation of another regular matrix pencil. We apply the result to find necessary and sufficient conditions for the existence…

Rings and Algebras · Mathematics 2024-04-01 Itziar Baragaña , Alicia Roca

In this paper, a new type of multi-level correction scheme is proposed for solving eigenvalue problems by finite element method. With this new scheme, the accuracy of eigenpair approximations can be improved after each correction step which…

Numerical Analysis · Mathematics 2011-07-04 Qun Lin , Hehu Xie

We present Gerschgorin-type eigenvalue inclusion sets applicable to generalized eigenvalue problems.Our sets are defined by circles in the complex plane in the standard Euclidean metric, and are easier to compute than known similar…

Numerical Analysis · Mathematics 2010-08-09 Yuji Nakatsukasa

We describe an algorithm to compute the extremal eigenvalues and corresponding eigenvectors of a symmetric matrix by solving a sequence of Quadratic Binary Optimization problems. This algorithm is robust across many different classes of…

Emerging Technologies · Computer Science 2022-10-12 Benjamin Krakoff , Susan M. Mniszewski , Christian F. A. Negre

We consider a matrix pencil whose coefficients depend on a positive parameter $\epsilon$, and have asymptotic equivalents of the form $a\epsilon^A$ when $\epsilon$ goes to zero, where the leading coefficient $a$ is complex, and the leading…

Spectral Theory · Mathematics 2007-05-23 Marianne Akian , Ravindra Bapat , Stephane Gaubert

In this paper we consider the problem of computing generalized eigenvectors of a matrix pencil in real Schur form. In exact arithmetic, this problem can be solved using substitution. In practice, substitution is vulnerable to floating-point…

Mathematical Software · Computer Science 2020-03-23 Carl Christian Kjelgaard Mikkelsen , Mirko Myllykoski

It is well known that the affine matrix rank minimization problem is NP-hard and all known algorithms for exactly solving it are doubly exponential in theory and in practice due to the combinational nature of the rank function. In this…

Optimization and Control · Mathematics 2018-04-24 Angang Cui , Haiyang Li , Jigen Peng , Junxiong Jia