Many applications give rise to matrix polynomials whose coefficients have a kind of reversal symmetry, a structure we call palindromic. Several properties of scalar palin-dromic polynomials are derived, and together with properties of compound matrices, used to establish the Smith form of regular and singular T-palindromic matrix polyno-mials over arbitrary fields. The invariant polynomials are shown to inherit palindromic-ity, and their structure is described in detail. Jordan structures of palindromic matrix polynomials are characterized, and necessary conditions for the existence of structured linearizations established. In the odd degree case, a constructive procedure for building palindromic linearizations shows that the necessary cond...
The notion of standard triples plays a central role in the theory of matrix polynomials. We study su...
Abstract. Many applications give rise to nonlinear eigenvalue problems with an underlying structured...
Abstract. Many applications give rise to nonlinear eigenvalue problems with an underlying structured...
The standard way to solve polynomial eigenvalue problems $P(\la)x=0$ is to convert the matrix polyno...
The standard way to solve polynomial eigenvalue problems $P(\la)x=0$ is to convert the matrix polyno...
The standard way to solve polynomial eigenvalue problems P (λ)x = 0 is to convert the matrix polynom...
AbstractThe standard way to solve polynomial eigenvalue problems P(λ)x=0 is to convert the matrix po...
We characterize the Smith form of skew-symmetric matrix polynomials over an arbi-trary field F, show...
Let L=(L 1 ,L 2 ) be a list consisting of a sublist L 1 of powers of irreducible (monic) scalar poly...
We discuss Möbius transformations for general matrix polynomials over arbitrary fields, analyzing th...
Let L = (L-1 , L-2) be a list consisting of a sublist L(1 )of powers of irreducible (monic) scalar p...
Let L = (L-1 , L-2) be a list consisting of a sublist L(1 )of powers of irreducible (monic) scalar p...
Let L = (L-1 , L-2) be a list consisting of a sublist L(1 )of powers of irreducible (monic) scalar p...
We characterize the Smith form of skew-symmetric matrix polynomials over an arbitrary field $\F$, sh...
AbstractAlternating matrix polynomials, that is, polynomials whose coefficients alternate between sy...
The notion of standard triples plays a central role in the theory of matrix polynomials. We study su...
Abstract. Many applications give rise to nonlinear eigenvalue problems with an underlying structured...
Abstract. Many applications give rise to nonlinear eigenvalue problems with an underlying structured...
The standard way to solve polynomial eigenvalue problems $P(\la)x=0$ is to convert the matrix polyno...
The standard way to solve polynomial eigenvalue problems $P(\la)x=0$ is to convert the matrix polyno...
The standard way to solve polynomial eigenvalue problems P (λ)x = 0 is to convert the matrix polynom...
AbstractThe standard way to solve polynomial eigenvalue problems P(λ)x=0 is to convert the matrix po...
We characterize the Smith form of skew-symmetric matrix polynomials over an arbi-trary field F, show...
Let L=(L 1 ,L 2 ) be a list consisting of a sublist L 1 of powers of irreducible (monic) scalar poly...
We discuss Möbius transformations for general matrix polynomials over arbitrary fields, analyzing th...
Let L = (L-1 , L-2) be a list consisting of a sublist L(1 )of powers of irreducible (monic) scalar p...
Let L = (L-1 , L-2) be a list consisting of a sublist L(1 )of powers of irreducible (monic) scalar p...
Let L = (L-1 , L-2) be a list consisting of a sublist L(1 )of powers of irreducible (monic) scalar p...
We characterize the Smith form of skew-symmetric matrix polynomials over an arbitrary field $\F$, sh...
AbstractAlternating matrix polynomials, that is, polynomials whose coefficients alternate between sy...
The notion of standard triples plays a central role in the theory of matrix polynomials. We study su...
Abstract. Many applications give rise to nonlinear eigenvalue problems with an underlying structured...
Abstract. Many applications give rise to nonlinear eigenvalue problems with an underlying structured...