On the Sign Characteristic of Hermitian Linearizations in Dl(p )

نویسندگان

  • M. I. BUENO
  • J. BREEN
  • S. FURTADO
چکیده

The computation of eigenvalues and eigenvectors of matrix polynomials is an important, but di cult, problem. The standard approach to solve this problem is to use linearizations, which are matrix polynomials of degree 1 that share the eigenvalues of P ( ). Hermitian matrix polynomials and their real eigenvalues are of particular interest in applications. Attached to these eigenvalues is a set of signs called the sign characteristic. From both a theoretical and a practical point of view, it is important to be able to recover the sign characteristic of a Hermitian linearization of P ( ) from the sign characteristic of P ( ). In this paper, for a Hermitian matrix polynomial P ( ) with nonsingular leading coe cient, we describe, in terms of the sign characteristic of P ( ), the sign characteristic of the Hermitian linearizations in the vector space DL(P ) (Mackey, Mackey, Mehl and Mehrmann, 2006). In particular, we identify the Hermitian linearizations in DL(P ) that preserve the sign characteristic of P ( ). We also provide a description of the sign characteristic of the Hermitian linearizations of P ( ) in the family of generalized Fiedler pencils with repetition (Bueno, Dopico, Furtado and Rychnovsky, 2015).

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Linearizations of Hermitian Matrix Polynomials Preserving the Sign Characteristic

The development of strong linearizations preserving whatever structure a matrix polynomial might possess has been a very active area of research in the last years, since such linearizations are the starting point of numerical algorithms for computing eigenvalues of structured matrix polynomials with the properties imposed by the considered structure. In this context, Hermitian matrix polynomial...

متن کامل

Conditioning and Backward Error of Block-symmetric Block-tridiagonal Linearizations of Matrix Polynomials

For each square matrix polynomial P (λ) of odd degree, a block-symmetric block-tridiagonal pencil TP (λ), in the family of generalized Fiedler pencils, was introduced by Antoniou and Vologiannidis in 2004, and a variation RP (λ) of this pencil was introduced by Mackey et al. in 2010. These two pencils have several appealing properties, namely they are always strong linearizations of P (λ), they...

متن کامل

Symmetric Linearizations for Matrix Polynomials

A standard way of treating the polynomial eigenvalue problem P (λ)x = 0 is to convert it into an equivalent matrix pencil—a process known as linearization. Two vector spaces of pencils L1(P ) and L2(P ), and their intersection DL(P ), have recently been defined and studied by Mackey, Mackey, Mehl, and Mehrmann. The aim of our work is to gain new insight into these spaces and the extent to which...

متن کامل

Large Vector Spaces of Block-symmetric Strong Linearizations of Matrix Polynomials

M. I. BUENO∗, F. M. DOPICO †, S. FURTADO ‡, AND M. RYCHNOVSKY § Abstract. Given a matrix polynomial P (λ) = Pk i=0 λ Ai of degree k, where Ai are n × n matrices with entries in a field F, the development of linearizations of P (λ) that preserve whatever structure P (λ) might posses has been a very active area of research in the last decade. Most of the structure-preserving linearizations of P (...

متن کامل

Isospectral Families of High-order Systems∗

Earlier work of the authors concerning the generation of isospectral families of second order (vibrating) systems is generalized to higher-order systems (with no spectrum at infinity). Results and techniques are developed first for systems without symmetries, then with Hermitian symmetry and, finally, with palindromic symmetry. The construction of linearizations which retain such symmetries is ...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2016