On the Error in the Product QR Decomposition
Author(s) -
Erik S. Van Vleck
Publication year - 2010
Publication title -
siam journal on matrix analysis and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.268
H-Index - 101
eISSN - 1095-7162
pISSN - 0895-4798
DOI - 10.1137/090761562
Subject(s) - mathematics , invertible matrix , qr decomposition , factorization , eigenvalues and eigenvectors , triangular matrix , degree (music) , product (mathematics) , matrix decomposition , pure mathematics , algorithm , geometry , acoustics , physics , quantum mechanics
We develop both a normwise and a componentwise error analysis for the QR factorization of long products of invertible matrices. We obtain global error bounds for both the orthogonal and upper triangular factors that depend on uniform bounds on the size of the local error, the local degree of nonnormality, and integral separation, a natural condition related to gaps between eigenvalues but for products of matrices. We illustrate our analytical results with numerical results that show the dependence on the degree of nonnormality and the strength of integral separation.
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