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....
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| Published in: | Linear algebra and its applications Vol. 384; pp. 21 - 42 |
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| Main Author: | |
| 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 |
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| 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. |
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| ISSN: | 0024-3795 1873-1856 |
| DOI: | 10.1016/j.laa.2003.12.032 |