Kokabifar, E., Loghmani, G., Nazari, A., Karbassi, S. (2015). On the distance from a matrix polynomial to matrix polynomials with two prescribed eigenvalues. Wavelet and Linear Algebra, 2(1), 25-38.

E. Kokabifar; G.B. Loghmani; A. M. Nazari; S. M. Karbassi. "On the distance from a matrix polynomial to matrix polynomials with two prescribed eigenvalues". Wavelet and Linear Algebra, 2, 1, 2015, 25-38.

Kokabifar, E., Loghmani, G., Nazari, A., Karbassi, S. (2015). 'On the distance from a matrix polynomial to matrix polynomials with two prescribed eigenvalues', Wavelet and Linear Algebra, 2(1), pp. 25-38.

Kokabifar, E., Loghmani, G., Nazari, A., Karbassi, S. On the distance from a matrix polynomial to matrix polynomials with two prescribed eigenvalues. Wavelet and Linear Algebra, 2015; 2(1): 25-38.

On the distance from a matrix polynomial to matrix polynomials with two prescribed eigenvalues

^{1}Faculty of Science, Yazd University, Yazd, Islamic Republic of Iran.

^{2}Department of Mathematics, Faculty of Science, Arak University, Arak, Islamic Republic of Iran.

^{3}Department of Mathematics, Yazd Branch, Islamic Azad University, Yazd, Islamic Republic of Iran.

Abstract

Consider an n × n matrix polynomial P(λ). A spectral norm distance from P(λ) to the set of n × n matrix polynomials that have a given scalar µ ∈ C as a multiple eigenvalue was introduced and obtained by Papathanasiou and Psarrakos. They computed lower and upper bounds for this distance, constructing an associated perturbation of P(λ). In this paper, we extend this result to the case of two given distinct complex numbers µ1 and µ2. First, we compute a lower bound for the spectral norm distance from P(λ) to the set of matrix polynomials that have µ1, µ2 as two eigenvalues. Then we construct an associated perturbation of P(λ) such that the perturbed matrix polynomial has two given scalars µ1 and µ2 in its spectrum. Finally, we derive an upper bound for the distance by the constructed perturbation of P(λ). Numerical examples are provided to illustrate the validity of the method.

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