The Journal of the Australian Mathematical Society. Series B. Applied Mathematics

Research Article

Accelerated spectral refinement Part I: simple eigenvalue

Rafikul Alama1, Rekha P. Kulkarnia1 and Balmohan V. Limayea1

a1 Department of Mathematics, Indian Institute of Technology, Bombay 400 076, India.

Abstract

A general framework is developed for constructing higher order spectral refinement schemes for a simple eigenvalue. Well-known techniques for ordinary spectral refinement are carried over to higher order spectral refinement yielding faster rates of convergence. Numerical examples are given by considering an integral operator.

(Received November 27 1995)

(Revised June 11 1998)

References

  • [1] Ahues, M. and Chatelin, F., “The use of defect correction to refine the eigenelements of compact integral operators”, SIAM J. Numer. Anal. 20 (1983) 1087–1093. [OpenURL Query Data]  [CrossRef]  [Google Scholar]
  • [2] Ahues, M., d'Almeida, F., Chatelin, F. and Telias, M., “Iterative refinement techniques for the eigenvalue problem of compact integral operators”, in Treatment of Integral Equations by Numerical Methods (eds. Baker, C. T. H. and Miller, G. F.), (Academic Press, London, 1983) 373–386. [Google Scholar]
  • [3] Ahues, M., d'Almeida, F. and Telias, M., “Iterative refinement for approximate eigenelements of compact operators, R.A.I.R.O.”, Numer. Anal. 18 (1984) 125–135. [OpenURL Query Data]  [Google Scholar]
  • [4] Ahues, M. and Telias, M., “Refinement methods of Newton type for approximate eigenelements of integral operators”, SIAM J. Numer. Anal. 23 (1986) 144–159. [OpenURL Query Data]  [CrossRef]  [Google Scholar]
  • [5] Alam, R., Kulkarni, R.P. and Limaye, B.V., “Boundedness of adjoint bases of approximate spectral subspaces and of associated block reduced resolvents”, Numer. Fund. Anal. Optimiz. 17 (1996) 473–502. [OpenURL Query Data]  [CrossRef]  [Google Scholar]
  • [6] Alam, R., Kulkarni, R.P. and Limaye, B.V.. “Accelerated spectral approximation”, Mathematics of Computation 67 (1998) 1401–1422. [OpenURL Query Data]  [CrossRef]  [Google Scholar]
  • [7] Chatelin, F., “Numerical computation of the eigenelements of linear integral operators by iterations”, SIAM J. Numer. Anal. 15 (1978) 1112–1124. [OpenURL Query Data]  [CrossRef]  [Google Scholar]
  • [8] Chatelin, F., Spectral Approximation of Linear Operators (Academic Press, New York, 1983). [Google Scholar]
  • [9] Dellwo, D., “Accelerated spectral refinement with application to integral operators”, SIAM J. Numer. Anal. 26 (1989) 1184–1193. [OpenURL Query Data]  [CrossRef]  [Google Scholar]
  • [10] Dellwo, D. and Friedman, M.B., “Accelerated spectral analysis of compact operators”, SIAM J. Numer. Anal. 21 (1984) 1115–1131. [OpenURL Query Data]  [CrossRef]  [Google Scholar]
  • [11] Deshpande, L.N. and Limaye, B.V., “A fixed point technique to refine a simple approximate eigenvalue and a corresponding eigenvector”, Numer. Funct. Anal. Optimiz. 10 (1989) 909–921. [OpenURL Query Data]  [CrossRef]  [Google Scholar]
  • [12] Gohberg, I., Goldberg, S. and Kaashoek, M.A., Classes of Linear Operators, Volume 1 (Birkhäuser-Verlag, Berlin, 1990). [Google Scholar]
  • [13] Gohberg, I., Lancaster, P. and Rodman, L., Matrix Polynomials (Academic Press, New York, 1982). [Google Scholar]
  • [14] Kulkarni, R.P. and Limaye, B.V., “Solution of a Schrödinger equation by iterative refinement”, J. Austral. Math. Soc. (Series B) 32 (1990) 115–132. [OpenURL Query Data]  [CrossRef]  [CJO Abstract]  [Google Scholar]
  • [15] Limaye, B.V., “Spectral perturbation and approximation with numerical experiments”, Proceedings of the Centre for Mathematical Analysis, Vol. 13 (Australian National University, 1986). [Google Scholar]
  • [16] Stetter, H., “The defect correction principle and discretization methods”, Numer. Math. 29 (1978) 425–443. [OpenURL Query Data]  [CrossRef]  [Google Scholar]