A note on the growth factor in Gaussian elimination for Higham matrices
Qian-Ping Guo, Xian-Ming Gu, Hou-biao Li

TL;DR
This paper improves the understanding of the growth factor in Gaussian elimination for Higham matrices by establishing a tighter bound of 2, thus confirming Higham's conjecture.
Contribution
It provides a new bound on the growth factor for generalized Higham matrices, strengthening previous results and proving Higham's conjecture.
Findings
Growth factor bound is strengthened to 2
Proves Higham's conjecture for generalized matrices
Uses condition numbers of B and C matrices
Abstract
The Higham matrix is a complex symmetric matrix A=B+iC, where both B and C are real, symmetric and positive definite and is the imaginary unit. For any Higham matrix A, Ikramov et al. showed that the growth factor in Gaussian elimination is less than 3. In this paper, based on the previous results, a new bound of the growth factor is obtained by using the maximum of the condition numbers of matrixes B and C for the generalized Higham matrix A, which strengthens this bound to 2 and proves the Higham's conjecture.
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Taxonomy
TopicsMatrix Theory and Algorithms · graph theory and CDMA systems · Advanced Optimization Algorithms Research
