A new perturbation bound for the LDU factorization of diagonally do minant matrices

Megan Dailey, Froilán M. Dopico, Qiang Ye

Research output: Contribution to journalArticlepeer-review

15 Scopus citations

Abstract

This work introduces a new perturbation bound for the L factor of the LDU factorization of (row) diagonally dominant matrices computed via the column diagonal dominance pivoting strategy. This strategy yields L and U factors which are always well-conditioned and, so, the LDU factorization is guaranteed to be a rank-revealing decomposition. The new bound together with those for the D and U factors in [F. M. Dopico and P. Koev, Numer. Math., 119(2011), pp. 337-371] establish that if diagonally dominant matrices are parameterized via their diagonally dominant parts and off-diagonal entries, then tiny relative componentwise perturbations of these parameters produce tiny relative normwise variations of L and U and tiny relative entrywise variations of D when column diagonal dominance pivoting is used. These results will allow us to prove in a follow-up work that such perturbations also lead to strong perturbation bounds for many other problems involving diagonally dominant matrices.

Original languageEnglish
Pages (from-to)904-930
Number of pages27
JournalSIAM Journal on Matrix Analysis and Applications
Volume35
Issue number3
DOIs
StatePublished - 2014

Bibliographical note

Publisher Copyright:
© 2014 Society for Industrial and Applied Mathematics.

Funding

FundersFunder number
National Stroke FoundationDMS-1318633
National Science Foundation Arctic Social Science Program
Directorate for Mathematical and Physical Sciences1318633
Directorate for Mathematical and Physical Sciences

    Keywords

    • Accurate computations
    • Column diagonal dominance pivoting
    • Diagonally dominant matrices
    • Diagonally dominant parts
    • LDU factorization
    • Rank-revealing decomposition
    • Relative perturbation theory

    ASJC Scopus subject areas

    • Analysis

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