Abstract
This paper establishes a new entrywise relative perturbation result for the inverse of a nonsingularM-matrixA. It is shown that a version of Gaussian elimination with one step of iterative refinement solves the systemAx =b, whereb is nonnegative, with small entrywise relative error. IfA is tridiagonal, the Gaussian elimination alone suffices.
Similar content being viewed by others
References
A. A. Ahac and D. D. Olesky,A stable method for the LU factorization of M-matrices, SIAM J. Alg. Disc. Meth., 7(1986), pp.368–378.
A. A. Ahac, J. J. Buoni and D. D. Olesky,Stable LU factorization of H-matrices, Linear Algebra Appl., 99(1988), pp.97–110.
M. Arioli, J. Demmel and I. S. Duff,Solving sparse linear system with sparse backward error. SIAM J. Matrix. Anal. Appl., 10(1986), pp.165–190.
J. Barlow and J. Demmel,Computing accurate eigensystems of scaled diagonally dominant matrices, SIAM J. Num. Anal., 27(1990), pp.769–791.
A. Berman and R. J. Plemmons,Nonnegative Matrices in Mathematical Sciences, Academic Press, New York, 1979.
G. H. Golub and C. F. Van Loan,Matrix Computations, The Johns Hopkins University Press, Baltimore, MD, 1983.
N. Higham,How accurate is Gaussian elimination?, in Numerical Analysis 1989, Proceedings of the 13th Dundee Conference, Pitman Research Notes in Mathematics 228, D. F. Griffiths and G. A. Watson, eds., Longman Scientific and Technical, 1990, pp.137–154.
R. A. Horn and C. R. Johnson,Topics in Matrix Analysis, Cambridge University Press, Cambridge, 1991.
R. D. Skeel,Iterative refinement implies numerical stability for Gaussian elimination, Math. Comput., 35(1980), pp.817–832.
Author information
Authors and Affiliations
Rights and permissions
About this article
Cite this article
Jungong, X., Erxiong, J. Entrywise relative perturbation theory for nonsingularM-matrices and applications. Bit Numer Math 35, 417–427 (1995). https://doi.org/10.1007/BF01732614
Received:
Revised:
Issue Date:
DOI: https://doi.org/10.1007/BF01732614