Large growth factors in Gaussian elimination with pivoting

Higham, Nicholas J. and Higham, Desmond J. (1989) Large growth factors in Gaussian elimination with pivoting. SIAM Journal On Matrix Analysis And Applications, 10 (2). pp. 155-164. ISSN 1095-7162

[img] PDF
0610012.pdf

Download (1MB)
Official URL: http://locus.siam.org/SIMAX/volume-10/art_0610012....

Abstract

The growth factor plays an important role in the error analysis of Gaussian elimination. It is well known that when partial pivoting or complete pivoting is used the growth factor is usually small, but it can be large. The examples of large growth usually quoted involve contrived matrices that are unlikely to occur in practice. We present real and complex $n \times n$ matrices arising from practical applications that, for any pivoting strategy, yield growth factors bounded below by $n / 2$ and $n$, respectively. These matrices enable us to improve the known lower bounds on the largest possible growth factor in the case of complete pivoting. For partial pivoting, we classify the set of real matrices for which the growth factor is $2^{n - 1} $. Finally, we show that large element growth does not necessarily lead to a large backward error in the solution of a particular linear system, and we comment on the practical implications of this result.

Item Type: Article
Uncontrolled Keywords: Gaussian elimination, growth factor, partial pivoting, complete pivoting, backward error analysis, stability
Subjects: MSC 2010, the AMS's Mathematics Subject Classification > 15 Linear and multilinear algebra; matrix theory
MSC 2010, the AMS's Mathematics Subject Classification > 65 Numerical analysis
Depositing User: Ms Lucy van Russelt
Date Deposited: 04 Jul 2006
Last Modified: 20 Oct 2017 14:12
URI: http://eprints.maths.manchester.ac.uk/id/eprint/356

Actions (login required)

View Item View Item