Publication: Matrix polynomials with completely prescribed eigenstructure
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2014-07
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Society for Industrial and Applied Mathematics
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Abstract
We present necessary and su cient conditions for the existence of a matrix polynomial when its degree, its nite and in nite elementary divisors, and its left and right minimal indices are prescribed. These conditions hold for arbitrary in nite elds and are determined mainly by the \index sum theorem", which is a fundamental relationship between the rank, the degree, the sum of all partial multiplicities, and the sum of all minimal indices of any matrix polynomial. The proof developed for the existence of such polynomial is constructive and, therefore, solves a very general inverse problem for matrix polynomials with prescribed complete eigenstructure. This result allows us to x the problem of the existence of (l)-ifications of a given matrix polynomial, as well as to determine all their possible sizes and eigenstructures.
Description
The proceeding at: Joint ALAMA-GAMM/ANLA 2014 Meeting, took place 2014, July 14-16, in Barcelona (Spain).
Keywords
Matrix polynomials, Index sum theorem, Invariant polynomials, (l)-cations, Minimal indices, Inverse polynomial eigenvalue problems.
Bibliographic citation
SIAM Journal on Matrix Analysis and Applications, 36 (2015) 1, pp. 302-328.