Skip to main content

The Numerical Detection of Hopf Bifurcation Points

  • Chapter

Part of the book series: NATO ASI Series ((ASIC,volume 313))

Abstract

During the computation of a one-parameter set of steady solutions to a time dependent problem, it is often of great interest to know when periodic behaviour can occur. This Hopf bifurcation is characterised by the linearisation about a steady state solution possessing a purely imaginary pair of eigenvalues. The cheap and reliable detection of such bifurcation is not however straightforward. The present paper examines the problem and suggests various strategies for solving it.

This is a preview of subscription content, log in via an institution.

Buying options

Chapter
USD   29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD   39.99
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD   54.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Learn about institutional subscriptions

Preview

Unable to display preview. Download preview PDF.

Unable to display preview. Download preview PDF.

References

  1. L. V. Ahlfors. Complex Analysis. McGraw Hill, New York, 1966.

    MATH  Google Scholar 

  2. E. J. Doedel, J. P. Kernevez. AUTO: software for continuation and bifurcation problems in ordinary differential equations. Appl. Math. Tech. Rep., Cal. Tech., 1986.

    Google Scholar 

  3. P. J. Eberlein. A Jacobi-like method for the automatic computation of eigenvalues and eigenvectors of an abitrary matrix. J. Soc. Ind. Appl. Math., 10, pages 74–88, 1962.

    Article  MathSciNet  Google Scholar 

  4. J.N. Franklin. Matrix Theory. Prentice-Hall, New Jersey, 1968.

    MATH  Google Scholar 

  5. F. R. Gantmacher . Matrix Theory Vol. II. Chelsea Publishing Co., New York, 1959.

    Google Scholar 

  6. P. Henrici. Bounds for iterates, inverses, spectral variation and fields of values of non-normal matrices. Numer. Math., 4, pages 24–40, 1962.

    Article  MathSciNet  MATH  Google Scholar 

  7. P. Henrici. Applied and Computational Complex Analysis Vol. 1. Wiley-Inter science, New York, 1974.

    MATH  Google Scholar 

  8. D. Ho, F. Chatelin,, M. Bennani. Arnoldi-Tchebyshev procedure for large scale nonsymmetric matrices. Math. Mod. Num. Anal., 24, pages 53–65, 1990.

    MathSciNet  MATH  Google Scholar 

  9. A. S. Householder. The Numerical Treatment of a Single Nonlinear Equation. McGraw Hill, New York, 1970.

    MATH  Google Scholar 

  10. W. Kahan, B.N. Parlett, E. Jiang. Residual bounds on approximate eigensystems of non-normal matrices. SIAM J. Numer. Anal., 19, pages 470–484, 1982.

    Article  MathSciNet  MATH  Google Scholar 

  11. P. Lancaster. Theory of Matrices. Academic, New York, 1969.

    MATH  Google Scholar 

  12. T.A. Manteuffel. The Tchebyshev iteration for nonsymmetric linear systems. Numer. Math., 28, pages 307–327, 1977.

    Article  MathSciNet  MATH  Google Scholar 

  13. T.A. Manteuffel. Adaptive procedure for estimation of parameter for the non-symmetric Tschebyshev iteration. Numer. Math., 31, pages 183–208, 1978.

    Article  MathSciNet  MATH  Google Scholar 

  14. B. Nour-Omid, B.N. Parlett, R. Taylor. Lanczoz versus subspace iteration for the solution of eigenvalue problems. Int. J. Numer. Meth. Eng., pages 859–871, 1983.

    Google Scholar 

  15. D. O’Leary, G.W. Stewart, J.S. Vandergraft. Estimating the largest eigenvalue of a positive definite matrix. Math. Comp., 33, pages 1289–1292, 1979.

    MathSciNet  MATH  Google Scholar 

  16. B.N. Parlett. The Symmetric Eigenvalue Problem. Prentice Hall, New Jersey, 1980.

    MATH  Google Scholar 

  17. B.N. Parlett. Laguerre’s method applied to the matrix eigenvalue problem. Math. Comp., 18, pages 464–487, 1964.

    MathSciNet  MATH  Google Scholar 

  18. B.N. Parlett, H. Simon, L.M. Stringer. On estimating the largest eigenvalue with the Lanczos algorithm. Math. Comp., 33, pages 153–165, 1982.

    Article  MathSciNet  Google Scholar 

  19. B.N. Parlett, D.R. Taylor, Z.A. Liu. A look-ahead Lanzcos algorithm for unsym-metric matrices. Math. Comp., 44 pages 105–124, 1985.

    MathSciNet  MATH  Google Scholar 

  20. A. Ruhe. On the quadratic convergence of a generalisation of the Jacobi method to arbitrary matrices. BIT, 8, pages 210–231, 1968.

    Article  MathSciNet  MATH  Google Scholar 

  21. H. Rutishauser. Solution of eigenvalue problems with the LR transformation. Nat. Bur. Stand. Appl. Math., Ser. 49, pages 47–81, 1958.

    MathSciNet  Google Scholar 

  22. H. Rutishauser. Une methóde pour le calcul des valeurs propres des matrices non- symétriques. Comptes Rendus, 259, page 2758, 1964.

    MathSciNet  MATH  Google Scholar 

  23. Y. Saad. Variations of Arnoldi’s method for computing eigenelements of large unsym- metric matrices. Lin. Alg. & Appl., 34, pages 269–295, 1980.

    Article  MathSciNet  MATH  Google Scholar 

  24. Y. Saad. Least squares polynomials in the complex plane with applications to solving sparse non-symmetric matrix problems. Research Report YALEU/DCS/RR-276, 1983.

    Google Scholar 

  25. Y. Saad. Chebyshev acceleration techniques for solving nonsymmetric eigenvalue problems. Math. Comp., 42, pages 567–588, 1984.

    Article  MathSciNet  MATH  Google Scholar 

  26. G.W. Stewart . Simultaneous iteration for computing invariant subspaces of non- hermitian matrices. Numer. Math 25, pages 123–136, 1976.

    Article  MATH  Google Scholar 

  27. F. Tibor. Normal equivalent to an arbitrary diagonalisable matrix. Lin. Alg. & Appl., 51, pages 153–162, 1983.

    Article  MATH  Google Scholar 

  28. K. Veselic. On a class of Jacobi-like procedures for diagonalising arbitrary real matrices. Numer. Math., 33, pages 157–172, 1979.

    Article  MathSciNet  MATH  Google Scholar 

  29. J. H. Wilkinson. The Algebraic Eigenvalue Problem. Oxford Univ. Press, Oxford, 1965.

    MATH  Google Scholar 

Download references

Author information

Authors and Affiliations

Authors

Editor information

Editors and Affiliations

Rights and permissions

Reprints and permissions

Copyright information

© 1990 Kluwer Academic Publishers

About this chapter

Cite this chapter

Moore, G., Garratt, T.J., Spence, A. (1990). The Numerical Detection of Hopf Bifurcation Points. In: Roose, D., Dier, B.D., Spence, A. (eds) Continuation and Bifurcations: Numerical Techniques and Applications. NATO ASI Series, vol 313. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0659-4_15

Download citation

  • DOI: https://doi.org/10.1007/978-94-009-0659-4_15

  • Publisher Name: Springer, Dordrecht

  • Print ISBN: 978-94-010-6781-2

  • Online ISBN: 978-94-009-0659-4

  • eBook Packages: Springer Book Archive

Publish with us

Policies and ethics