In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some families of Fiedler-like linearizations of square matrix polynomials. In particular, for the families of Fiedler pencils, generalized Fiedler pencils and Fiedler pencils with repetition. These formulas allow us to relate the eigenvectors and minimal bases of the linearizations with the ones of the polynomial. Since the eigenvectors appear in the standard formula of the condition number of eigenvalues of matrix polynomials, our results may be used to compare the condition numbers of eigenvalues of the linearizations within these families and the corresponding condition number of the polynomial eigenvalue problem.Publicad
Fiedler pencils are a family of strong linearizations for polynomials expressed in the monomial basi...
We discuss matrix polynomials expressed in a Newton basis, and the associated polynomial eigenvalue ...
Abstract. In many applications, the polynomial eigenvalue problem, P (λ)x = 0, arises with P (λ) bei...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
The standard way of solving the polynomial eigenvalue problem associated with a matrix polynomial is...
The standard way of solving the polynomial eigenvalue problem associated with a matrix polynomial is...
A standard way of dealing with a matrix polynomial $P(\lambda)$ is to convert it into an equivalen...
A standard way of dealing with a matrix polynomial $P(\lambda)$ is to convert it into an equivalen...
AbstractThe development of new classes of linearizations of square matrix polynomials that generaliz...
The development of new classes of linearizations of square matrix polynomials that generalize the cl...
Fiedler pencils are a family of strong linearizations for polynomials expressed in the monomial basi...
The development of new classes of linearizations of square matrix polynomials that generalize the c...
Fiedler pencils are a family of strong linearizations for polynomials expressed in the monomial basi...
We discuss matrix polynomials expressed in a Newton basis, and the associated polynomial eigenvalue ...
Abstract. In many applications, the polynomial eigenvalue problem, P (λ)x = 0, arises with P (λ) bei...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
In this paper, we obtain formulas for the left and right eigenvectors and minimal bases of some fami...
The standard way of solving the polynomial eigenvalue problem associated with a matrix polynomial is...
The standard way of solving the polynomial eigenvalue problem associated with a matrix polynomial is...
A standard way of dealing with a matrix polynomial $P(\lambda)$ is to convert it into an equivalen...
A standard way of dealing with a matrix polynomial $P(\lambda)$ is to convert it into an equivalen...
AbstractThe development of new classes of linearizations of square matrix polynomials that generaliz...
The development of new classes of linearizations of square matrix polynomials that generalize the cl...
Fiedler pencils are a family of strong linearizations for polynomials expressed in the monomial basi...
The development of new classes of linearizations of square matrix polynomials that generalize the c...
Fiedler pencils are a family of strong linearizations for polynomials expressed in the monomial basi...
We discuss matrix polynomials expressed in a Newton basis, and the associated polynomial eigenvalue ...
Abstract. In many applications, the polynomial eigenvalue problem, P (λ)x = 0, arises with P (λ) bei...