Reachable Matrices by the Qr Iteration with Shift

نویسندگان

  • DELIN CHU
  • MOODY CHU
چکیده

Abstract. One of the most interesting dynamical systems used in numerical analysis is the QR algorithm. An added maneuver to improve the convergence behavior is the QR iteration with shift which is of fundamental importance in eigenvalue computation. This paper is a theoretical study of the set of all isospectral matrices “reachable” by the dynamics of QR algorithm with shift. A matrix B is said to be reachable by A if B = RQ + μI where A − μI = QR is the QR decomposition for some μ ∈ R. It is proved that in general the QR algorithm with shift is neither reflexive nor symmetric. It is further discovered that the reachable set from a given n × n matrix A forms 2 disjoint open loops if n is even and 2 disjoint components each of which is no longer a loop when n is odd.

برای دانلود 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

A Fast QR Algorithm for Companion Matrices

It has been shown in [4, 5, 6, 31] that the Hessenberg iterates of a companion matrix under the QR iterations have low off-diagonal rank structures. Such invariant rank structures were exploited therein to design fast QR iteration algorithms for finding eigenvalues of companion matrices. These algorithms require only O(n) storage and run in O(n) time where n is the dimension of the matrix. In t...

متن کامل

Shift Blurring in the Qr Algorithm

The QR algorithm is one of the most widely used algorithms for calculating the eigenvalues of matrices. The multishift QR algorithm with multiplicity m is a version that eeects m iterations of the QR algorithm at a time. It is known that roundoo errors cause the multishift QR algorithm to perform poorly when m is large. In this paper the mechanism by which the shifts are transmitted through the...

متن کامل

Fast and stable QR eigenvalue algorithms for generalized companion matrices and secular equations

We introduce a class Cn of n × n structured matrices which includes three well-known classes of generalized companion matrices: tridiagonal plus rank-one matrices (comrade matrices), diagonal plus rank-one matrices and arrowhead matrices. Relying on the structure properties of Cn, we show that if A ∈ Cn then A′ = RQ ∈ Cn, where A = QR is the QR decomposition of A. This allows one to implement t...

متن کامل

A new iteration for computing the eigenvalues of semiseparable (plus diagonal) matrices

This paper proposes a new type of iteration based on a structured rank factorization for computing eigenvalues of semiseparable and semiseparable plus diagonal matrices. Also the case of higher order semiseparability ranks is included. More precisely, instead of the traditional QR-iteration, a QH-iteration will be used. The QH-factorization is characterized by a unitary matrix Q and a Hessenber...

متن کامل

The Asymptotics of Wilkinson's Shift: Loss of Cubic Convergence

One of the most widely used methods for eigenvalue computation is the QR iteration with Wilkinson’s shift: here the shift s is the eigenvalue of the bottom 2 × 2 principal minor closest to the corner entry. It has been a long-standing conjecture that the rate of convergence of the algorithm is cubic. In contrast, we show that there exist matrices for which the rate of convergence is strictly qu...

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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004