Computational aspect to the nearest southeast submatrix that makes multiple a prescribed eigenvalue
الموضوعات :
1 - Department of Mathematics, Arak University,
P.O. Box 38156-8-8349, Arak, Iran
2 - Department of Mathematics, Arak University,
P.O. Box 38156-8-8349, Arak, Iran
الکلمات المفتاحية: Normal matrix, multiple eigenvalues, Singular value, distance matrices,
ملخص المقالة :
Given four complex matrices $A$, $B$, $C$ and $D$ where $A\in\mathbb{C}^{n\times n}$and $D\in\mathbb{C}^{m\times m}$ and let the matrix $\left(\begin{array}{cc}A & B \C & D \end{array} \right)$ be a normal matrix andassume that $\lambda$ is a given complex numberthat is not eigenvalue of matrix $A$.We present a method to calculate the distance norm (with respect to 2-norm) from $D$to the set of matrices $X \in C^{m \times m}$ such that, $\lambda$ be a multipleeigenvalue of matrix $\left(\begin{array}{cc}A & B \C & X \end{array} \right)$. Wealso find the nearest matrix $X$ to the matrix $D$.
[1] J. M. Gracia, F. E. Velasco, Nearesrt Southeast Submatrix that makes multiple a prescribed eigenvalue. Part 1, Linear Algebra Appl. 430 (2009) 1196-1215.
[2] Kh.D. Ikramov, A.M. Nazari, Computational aspects of the use of Malyshev's formula, Zh. Vychisl. Mat. Mat. Fiz. 44 (1) (2004), 3-7.
[3] R. A. Lippert, Fixing two eigenvalues by a minimal perturbation, Linear Algebra Appl. 406 (2005), 177-200.
[4] A. N. Malyshev, A formula for the 2-norm distance from a matrix to the set of matrices with multiple eigenvalues, Numer. Math. 83 (1999), 443-454.
[5] A.M. Nazari, D. Rajabi, Computational aspect to the nearest matrix with two prescribed eigenvalues, Linear Algebra Appl. 432 (2010), 1-4.