Hostname: page-component-8448b6f56d-jr42d Total loading time: 0 Render date: 2024-04-23T22:15:24.277Z Has data issue: false hasContentIssue false

RECONSIDERING TRIGONOMETRIC INTEGRATORS

Published online by Cambridge University Press:  03 November 2009

DION R. J. O’NEALE*
Affiliation:
Institute of Fundamental Sciences, Massey University, Private Bag 11-222, Palmerston North, New Zealand (email: d.r.oneale@massey.ac.nz, r.mclachlan@massey.ac.nz)
ROBERT I. MCLACHLAN
Affiliation:
Institute of Fundamental Sciences, Massey University, Private Bag 11-222, Palmerston North, New Zealand (email: d.r.oneale@massey.ac.nz, r.mclachlan@massey.ac.nz)
*
Rights & Permissions [Opens in a new window]

Abstract

Core share and HTML view are not available for this content. However, as you have access to this content, a full PDF is available via the ‘Save PDF’ action button.

In this paper we look at the performance of trigonometric integrators applied to highly oscillatory differential equations. It is widely known that some of the trigonometric integrators suffer from low-order resonances for particular step sizes. We show here that, in general, trigonometric integrators also suffer from higher-order resonances which can lead to loss of nonlinear stability. We illustrate this with the Fermi–Pasta–Ulam problem, a highly oscillatory Hamiltonian system. We also show that in some cases trigonometric integrators preserve invariant or adiabatic quantities but at the wrong values. We use statistical properties such as time averages to further evaluate the performance of the trigonometric methods and compare the performance with that of the mid-point rule.

Type
Research Article
Copyright
Copyright © Australian Mathematical Society 2009

References

[1]Arnold, V. I., Mathematical methods of classical mechanics, 2nd edn, Volume 60 of Graduate Texts in Mathematics (Springer-Verlag, Berlin, 1989).Google Scholar
[2]Le Bris, C. and Legoll, F., “Dérivation de schémas numériques symplectiques pour des systèmes hamiltoniens hautement oscillants”, C. R. Acad. Sci. Paris, Ser I 344 (2007) 277282.CrossRefGoogle Scholar
[3]Dueflhard, P., “A study of extrapolation methods based on multistep schemes without parasitic solutions”, Z. Angew. Math. Phys. 30 (1979) 177189.CrossRefGoogle Scholar
[4]García-Archilla, B., Sanz-Serna, J. M. and Skeel, R. D., “Long-time-step methods for oscillatory differential equations”, SIAM J. Sci. Comput. 20 (1998) 930963.CrossRefGoogle Scholar
[5]Gautschi, W., “Numerical integration of ordinary differential equations based on trigonometric polynomials”, Numer. Math. 3 (1961) 381397.CrossRefGoogle Scholar
[6]Grimm, V. and Hochbruck, M., “Error analysis of exponential integrators for oscillatory second-order differential equations”, J. Phys. A: Math. Gen. 39 (2006) 54955507.CrossRefGoogle Scholar
[7]Guckenheimer, J. and Holmes, P., Nonlinear oscillations, dynamical systems and bifurcations of vector fields (Springer-Verlag, New York, 1983).CrossRefGoogle Scholar
[8]Hairer, E. and Lubich, Ch., “Long-time energy conservation of numerical methods for oscillatory differential equations”, SIAM J. Numer. Anal. 38 (2000) 414441.CrossRefGoogle Scholar
[9]Hairer, E., Lubich, Ch. and Wanner, G., Geometric numerical integration: structure-preserving algorithms for ordinary differential equations, 2nd edn (Springer-Verlag, Berlin, 2002).CrossRefGoogle Scholar
[10]Hochbruck, M. and Lubich, Ch., “A Gautschi-type method for oscillatory second-order differential equations”, Numer. Math. 83 (1999) 403426.CrossRefGoogle Scholar
[11]Sauer, T. and York, J. A., “Rigorous verification of trajectories for the computer simulation of dynamical systems”, Nonlinearity 4 (1994) 961979.CrossRefGoogle Scholar
[12]Skeel, R. D. and Srinivas, K., “Nonlinear stability analysis of area-preserving integrators”, SIAM J. Numer. Anal. 38 (2000) 129148.CrossRefGoogle Scholar