Abstract
Although nonlinear systems vary a great deal throughout science, their study is unified by fundamental mathematical principles. In this section we outline the simplest of these principles and illustrate just how they arise in practice. Of course, we saw in Chapter 1 how certain abstract principles were used in studying the simplest nonlinear systems, namely, integrable systems and their perturbations. These principles have the virtue of great “robustness” in the sense that they also have great value in studying more complicated nonlinear systems. In fact, one of the goals of this chapter is to illustrate just how the principles discussed briefly in Chapter 1 can be extended to study more general nonlinear systems such as occur throughout science and technology. Such systems are generally nonintegrable, even with our extended definition.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Berger, M. S. and Berger, M. S., Perspectives in Nonlinearity, Benjamin Publishers, 1968.
Berger, M. S., Nonlinearity and Functional Analysis, Academic Press, 1977.
Berger, M. S. and Bombieri, E., “On Poincaré’s Isoperimetric Variational Problem for Closed Simple Geodesics,” Journal of Functional Analysis, Vol. 42, pp. 274–298, 1981.
Berger, M. S. and Fraenkel, L. E., “Nonlinear desingularization in certain free boundary problems,” Communications of Mathematical Physics, vol. 77, 00. 149–172, 1980.
Bombieri, E., An Introduction to Minimal Currents and Parametric Variational Problems, Mathematical Reports, 1985.
Feigenbaum, M. J., “Universal metric properties of nonlinear transformations,” J. Stat. Physics, vol. 21, p. 669 (1979).
Poincaré, H., On Geodesics on Ovaloids, Trans. Amer. Math. Soc, 1901.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 1990 Kluwer Academic Publishers
About this chapter
Cite this chapter
Berger, M.S. (1990). General Principles for Nonlinear Systems. In: Mathematical Structures of Nonlinear Science. Nonlinear Topics in the Mathematical Sciences, vol 1. Springer, Dordrecht. https://doi.org/10.1007/978-94-009-0579-5_2
Download citation
DOI: https://doi.org/10.1007/978-94-009-0579-5_2
Publisher Name: Springer, Dordrecht
Print ISBN: 978-94-010-6748-5
Online ISBN: 978-94-009-0579-5
eBook Packages: Springer Book Archive