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We consider eigenvalue condition numbers and backward errors for a class of symmetric nonlinear eigenvalue problems with eigenvector nonlinearities. For both of these quantities, we derive explicit and computable expressions that can be…

Numerical Analysis · Mathematics 2026-05-21 Vilhelm Peterson Lithell , Victor Janssens , Elias Jarlebring , Karl Meerbergen , Wim Michiels

In this paper, we consider the different eigenvalue condition numbers for matrix polynomials used in the literature and we compare them. One of these condition numbers is a generalization of the Wilkinson condition number for the standard…

Numerical Analysis · Mathematics 2018-04-27 Luis Miguel Anguas , María Isabel Bueno , Froilán M. Dopico

This work concerns the distance in 2-norm from a matrix polynomial to a nearest polynomial with a specified number of its eigenvalues at specified locations in the complex plane. Perturbations are allowed only on the constant coefficient…

Numerical Analysis · Mathematics 2013-06-24 Michael Karow , Emre Mengi

We study the average condition number for polynomial eigenvalues of collections of matrices drawn from various random matrix ensembles. In particular, we prove that polynomial eigenvalue problems defined by matrices with Gaussian entries…

Numerical Analysis · Mathematics 2018-02-22 Carlos Beltran , Khazhgali Kozhasov

We compute the exact value of the squared condition number for the polynomial eigenvalue problem, when the input matrices have entries coming from the standard complex Gaussian distribution, showing that in general this problem is quite…

Numerical Analysis · Mathematics 2017-06-20 Carlos Beltrán , Diego Armentano

In many applications it is important to understand the sensitivity of eigenvalues of a matrix polynomial to perturbations of the polynomial. The sensitivity commonly is described by condition numbers or pseudospectra. However, the…

Numerical Analysis · Mathematics 2017-04-06 Silvia Noschese , Lothar Reichel

An apriori bound for the condition number associated to each of the following problems is given: general linear equation solving, minimum squares, non-symmetric eigenvalue problems, solving univariate polynomials, solving systems of…

Numerical Analysis · Mathematics 2025-10-20 Gregorio Malajovich

The condition number for eigenvalue computations is a well--studied quantity. But how small can we expect it to be? Namely, which is a perfectly conditioned matrix w.r.t. eigenvalue computations? In this note we answer this question with…

Numerical Analysis · Mathematics 2021-05-18 Carlos Beltrán , Laurent Bétermin , Peter Grabner , Stefan Steinerberger

We consider two-point non-self-adjoint boundary eigenvalue problems for linear matrix differential operators. The coefficient matrices in the differential expressions and the matrix boundary conditions are assumed to depend analytically on…

Mathematical Physics · Physics 2010-04-20 Oleg N. Kirillov

This paper establishes new upper bounds for the right eigenvalues of monic matrix polynomials over the quaternion division algebra. The noncommutative nature of quaternion multiplication presents fundamental challenges in eigenvalue…

Complex Variables · Mathematics 2026-04-17 Ovaisa Jan , Idrees Qasim

In the first part of this paper, the main concern is with smoothness properties of the boundary of the pseudospectrum of a matrix polynomial. In the second part, results are obtained concerning the number of connected components of…

Spectral Theory · Mathematics 2007-05-23 Lyonell Boulton , Peter Lancaster , Panayiotis Psarrakos

We show how $\ell$-ifications, which are companion forms of matrix polynomials, namely, lower order matrix polynomials with the same eigenvalues as a given complex square matrix polynomial, can be used in combination with other recent…

Rings and Algebras · Mathematics 2017-02-22 Aaron Melman

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

In this note we present a parameterized class of lower triangular matrices. The components of the eigenvectors grow rapidly and will exceed the representational range of any finite number system. The eigenvalues and the eigenvectors are…

Numerical Analysis · Mathematics 2020-05-13 Carl Christian Kjelgaard Mikkelsen

Our aim is to study matrix polynomials over max-algebras and their growth in terms of a max-induced semi-norm. We investigate the relationship between the asymptotic growth of polynomial products and the joint spectral radius of the…

Rings and Algebras · Mathematics 2026-05-27 Askar Ali M , Sachindranath Jayaraman

This article considers the problem of solving a system of $n$ real polynomial equations in $n+1$ variables. We propose an algorithm based on Newton's method and subdivision for this problem. Our algorithm is intended only for nondegenerate…

Computational Geometry · Computer Science 2009-12-21 Gun Srijuntongsiri , Stephen A. Vavasis

We study ill-conditioned positive definite matrices that are disturbed by the sum of $m$ rank-one matrices of a specific form. We provide estimates for the eigenvalues and eigenvectors. When the condition number of the initial matrix tends…

Numerical Analysis · Mathematics 2024-03-13 Armand Gissler , Anne Auger , Nikolaus Hansen

In the first part of the paper, we discuss eigenvalue problems of the form -w"+Pw=Ew with complex potential P and zero boundary conditions at infinity on two rays in the complex plane. We give sufficient conditions for continuity of the…

Mathematical Physics · Physics 2012-02-07 Alexandre Eremenko , Andrei Gabrielov

We present an estimation of the condition numbers of the \emph{mass} and \emph{stiffness} matrices arising from shallow ReLU$^k$ neural networks defined on the unit sphere~$\mathbb{S}^d$. In particular, when $\{\theta_j^*\}_{j=1}^n \subset…

Numerical Analysis · Mathematics 2025-11-07 Xinliang Liu , Tong Mao , Jinchao Xu

We prove quadratic eigenvalue perturbation bounds for generalized Hermitian eigenvalue problems. The bounds are proportional to the square of the norm of the perturbation matrices divided by the gap between the spectrums. Using the results…

Numerical Analysis · Mathematics 2010-09-21 Yuji Nakatsukasa
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