Fixing multiple eigenvalues by a minimal perturbation
From MaRDI portal
Publication:2267409
DOI10.1016/j.laa.2009.11.030zbMath1188.65050OpenAlexW2087291145MaRDI QIDQ2267409
Publication date: 1 March 2010
Published in: Linear Algebra and its Applications (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1016/j.laa.2009.11.030
Eigenvalues, singular values, and eigenvectors (15A18) Numerical solutions to inverse eigenvalue problems (65F18)
Related Items (6)
Nearest linearly structured polynomial matrix with some prescribed distinct eigenvalues ⋮ On the distance from a matrix polynomial to matrix polynomials with some prescribed eigenvalues ⋮ Perturbation analysis on matrix pencils for two specified eigenpairs of a semisimple eigenvalue with multiplicity two ⋮ Nearest matrix with prescribed eigenvalues and its applications ⋮ On the distance from a matrix polynomial to matrix polynomials with k prescribed distinct eigenvalues ⋮ Nearest matrix with a prescribed eigenvalue of bounded multiplicities
Uses Software
Cites Work
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Unnamed Item
- Numerical computation of an analytic singular value decomposition of a matrix valued function
- Nearest matrix with two prescribed eigenvalues
- A formula for the 2-norm distance from a matrix to the set of matrices with multiple eigenvalues
- Normal matrices and an extension of Malyshev's formula
- Singular values and invariant factors of matrix sums and products
- The dimension of matrices (matrix pencils) with given Jordan (Kronecker) canonical forms
- Fixing two eigenvalues by a minimal perturbation
- Nonsmooth analysis of singular values. I: Theory
- Nonsmooth analysis of singular values. II: Applications
- The Weyr Characteristic
- SYMMETRIC GAUGE FUNCTIONS AND UNITARILY INVARIANT NORMS
- Generalized Gradients and Applications
- A Geometric Approach to Perturbation Theory of Matrices and Matrix Pencils. Part II: A Stratification-Enhanced Staircase Algorithm
- The generalized Schur decomposition of an arbitrary pencil A–λB—robust software with error bounds and applications. Part I
- Inverse Eigenvalue Problems
- Algorithm 795
- The Interplay of Ranks of Submatrices
This page was built for publication: Fixing multiple eigenvalues by a minimal perturbation