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Gaussian elimination is stable for the inverse of a diagonally dominant matrix

Author(s): Alan George; Khakim D. Ikramov.
Journal: Math. Comp. 73 (2004), 653-657.
MSC (2000): Primary 65F10
Posted: October 17, 2003
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Abstract: Let $B\in M_n({\mathbf{C}})$ be a row diagonally dominant matrix, i.e.,

\begin{displaymath}\sigma_i \vert b_{ii}\vert = \sum_{\substack{j=1 j\ne i }}^n \vert b_{ij}\vert, \quad i = 1,\ldots,n, \end{displaymath}

where $0 \le \sigma_i < 1, i= 1,\ldots,n,$ with $ \sigma = \max_{1\le i \le n} \sigma_i.$We show that no pivoting is necessary when Gaussian elimination is applied to $A = B^{-1}.$ Moreover, the growth factor for $A$ does not exceed $1 + \sigma.$ The same results are true with row diagonal dominance being replaced by column diagonal dominance.

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Additional Information:

Alan George
Affiliation: School of Computer Science, University of Waterloo, Waterloo, Ontario, Canada

Khakim D. Ikramov
Affiliation: Faculty of Computational Mathematics and Cybernetics, Moscow State University, 119992 Moscow, Russia
Email: ikramov@cs.msu.su

DOI: 10.1090/S0025-5718-03-01591-6
PII: S 0025-5718(03)01591-6
Keywords: Gaussian elimination, growth factor, diagonally dominant matrices, Schur complement
Received by editor(s): February 13, 2002
Received by editor(s) in revised form: August 1, 2002
Posted: October 17, 2003
Additional Notes: This work was supported by Natural Sciences and Engineering Research Council of Canada grant OGP0008111
Copyright of article: Copyright 2003, American Mathematical Society

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