𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Unitary rank structured matrices

✍ Scribed by Steven Delvaux; Marc Van Barel


Publisher
Elsevier Science
Year
2008
Tongue
English
Weight
386 KB
Volume
215
Category
Article
ISSN
0377-0427

No coin nor oath required. For personal study only.

✦ Synopsis


In this paper we describe how one can represent a unitary rank structured matrix in an efficient way as a product of elementary unitary or Givens transformations. We also provide some basic operations for manipulating the representation, such as the transition to zero-creating form, the transition to a unitary/Givens-weight representation, as well as an internal pull-through process of the two branches of the representation. Finally, we characterize how to determine the 'shift' correction term to the rank structure, and we provide some applications to this result.


πŸ“œ SIMILAR VOLUMES


Eigenvalue computation for unitary rank
✍ Steven Delvaux; Marc Van Barel πŸ“‚ Article πŸ“… 2008 πŸ› Elsevier Science 🌐 English βš– 286 KB

In this paper we describe how to compute the eigenvalues of a unitary rank structured matrix in two steps. First we perform a reduction of the given matrix into Hessenberg form, next we compute the eigenvalues of this resulting Hessenberg matrix via an implicit QR-algorithm. Along the way, we explai

Transformations to rank structures by un
✍ Roberto Bevilacqua; Enrico Bozzo; Gianna M. Del Corso πŸ“‚ Article πŸ“… 2005 πŸ› Elsevier Science 🌐 English βš– 198 KB

We study transformations by unitary similarity of a nonderogatory matrix to certain rank structured matrices. This kind of transformations can be described in a unified framework that involves Krylov matrices. The rank structures here addressed are preserved by QR iterations, and every iterate can b

More on structure-ranks of matrices
✍ Richard A. Brualdi; Jennifer J.Q. Massey πŸ“‚ Article πŸ“… 1993 πŸ› Elsevier Science 🌐 English βš– 406 KB
On unitary similarity of matrices
✍ Ratna Bhattacharya; Kalyan Mukherjea πŸ“‚ Article πŸ“… 1989 πŸ› Elsevier Science 🌐 English βš– 569 KB