Stieltjes continued fraction and QD algorithm: scalar, vector, and matrix cases

The definition, in previous studies, of vector Stieltjes continued fractions in connection with spectral properties of band operators with intermediate zero diagonals, left unsolved the question of a direct definition of their coefficients in terms of the original data, a vector of Stieltjes series....

Full description

Saved in:
Bibliographic Details
Published in:Linear algebra and its applications Vol. 384; pp. 21 - 42
Main Author: Van Iseghem, Jeannette
Format: Journal Article
Language:English
Published: New York, NY Elsevier Inc 01.06.2004
Elsevier Science
Subjects:
ISSN:0024-3795, 1873-1856
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:The definition, in previous studies, of vector Stieltjes continued fractions in connection with spectral properties of band operators with intermediate zero diagonals, left unsolved the question of a direct definition of their coefficients in terms of the original data, a vector of Stieltjes series. The subject was more undefined in the matrix case. A new version of the QD algorithm for matrix problem, allows to extend to the vector and matrix cases the result of Stieltjes, expansion of a (scalar) function in terms of a Stieltjes continued fraction. Beside this connection, it solves the inverse Miura transform and gives interesting identities between general band matrix and sparse band matrix. Finally, as a consequence, we extend to some dynamical systems a method known for Toda lattices.
ISSN:0024-3795
1873-1856
DOI:10.1016/j.laa.2003.12.032