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SIAM Journal on Computing
Article . 1990 . Peer-reviewed
Data sources: Crossref
DBLP
Article . 1990
Data sources: DBLP
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The Inverses of Block Hankel and Block Toeplitz Matrices

Authors: George Labahn; Dong-Koo Choi; Stanley Cabay;

The Inverses of Block Hankel and Block Toeplitz Matrices

Abstract

A set of new formulae for the inverse of a block Hankel (or block Toeplitz) matrix is given. The formulae are expressed in terms of certain matrix Pade forms, which approximate a matrix power series associated with the block Hankel matrix.By using Frobenius-type identities between certain matrix Pade forms, the inversion formulae are shown to generalize the formulae of Gohberg–Heinig and, in the scalar case, the formulae of Gohberg–Semencul and Gohberg–Krupnik.The new formulae have the significant advantage of requiring only that the block Hankel matrix itself be nonsingular. The other formulae require, in addition, that certain submatrices be nonsingular.Since effective algorithms for computing the required matrix Pade forms are available, the formulae are practical. Indeed, some of the algorithms allow for the efficient calculation of the inverse not only of the given block Hankel matrix, but also of any nonsingular block principal minor.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
32
Average
Top 10%
Top 10%
bronze
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