Hyperbolic matrix polynomials are an important class of Hermitian matrix polynomials that contain overdamped quadratics as a special case. They share with definite pencils the spectral property that their eigenvalues are real and semisimple. We extend the definition of hyperbolic matrix polynomial in a way that relaxes the requirement of definiteness of the leading coefficient matrix, yielding what we call definite polynomials. We show that this class of polynomials has an elegant characterization in terms of definiteness intervals on the extended real line, and that it includes definite pencils as a special case. A fundamental question is whether a definite matrix polynomial $P$ can be linearized in a structure-preserving way. We show that...
The classical approach to investigating polynomial eigenvalue problems is linearization, where the p...
Abstract. The classical approach to investigating polynomial eigenvalue problems is linearization, w...
The classical approach to investigating polynomial eigenvalue problems is linearization, where the p...
Hyperbolic matrix polynomials are an important class of Hermitian matrix polynomials that contain ov...
Hyperbolic matrix polynomials are an important class of Hermitian matrix polynomials that contain ov...
Hyperbolic matrix polynomials are an important class of Hermitian matrix polynomials that contain ov...
The spectral properties of Hermitian matrix polynomials with real eigenvalues have been extensively ...
The spectral properties of Hermitian matrix polynomials with real eigenvalues have been extensively ...
The spectral properties of Hermitian matrix polynomials with real eigenvalues have been extensively ...
AbstractHyperbolic or more generally definite matrix polynomials are important classes of Hermitian ...
The spectral properties of Hermitian matrix polynomials with real eigenvalues have been extensively ...
AbstractThe spectral properties of Hermitian matrix polynomials with real eigenvalues have been exte...
AbstractHyperbolic or more generally definite matrix polynomials are important classes of Hermitian ...
This thesis considers Hermitian/symmetric, alternating and palindromic matrix polynomials which all ...
Abstract. The development of strong linearizations preserving whatever structure a matrix polynomial...
The classical approach to investigating polynomial eigenvalue problems is linearization, where the p...
Abstract. The classical approach to investigating polynomial eigenvalue problems is linearization, w...
The classical approach to investigating polynomial eigenvalue problems is linearization, where the p...
Hyperbolic matrix polynomials are an important class of Hermitian matrix polynomials that contain ov...
Hyperbolic matrix polynomials are an important class of Hermitian matrix polynomials that contain ov...
Hyperbolic matrix polynomials are an important class of Hermitian matrix polynomials that contain ov...
The spectral properties of Hermitian matrix polynomials with real eigenvalues have been extensively ...
The spectral properties of Hermitian matrix polynomials with real eigenvalues have been extensively ...
The spectral properties of Hermitian matrix polynomials with real eigenvalues have been extensively ...
AbstractHyperbolic or more generally definite matrix polynomials are important classes of Hermitian ...
The spectral properties of Hermitian matrix polynomials with real eigenvalues have been extensively ...
AbstractThe spectral properties of Hermitian matrix polynomials with real eigenvalues have been exte...
AbstractHyperbolic or more generally definite matrix polynomials are important classes of Hermitian ...
This thesis considers Hermitian/symmetric, alternating and palindromic matrix polynomials which all ...
Abstract. The development of strong linearizations preserving whatever structure a matrix polynomial...
The classical approach to investigating polynomial eigenvalue problems is linearization, where the p...
Abstract. The classical approach to investigating polynomial eigenvalue problems is linearization, w...
The classical approach to investigating polynomial eigenvalue problems is linearization, where the p...