Hostname: page-component-76fb5796d-5g6vh Total loading time: 0 Render date: 2024-04-28T21:46:49.568Z Has data issue: false hasContentIssue false

Chaos in perturbed Lotka-Volterra systems

Published online by Cambridge University Press:  17 February 2009

J. R. Christie
Affiliation:
Department of Mathematics and Statistics, The Flinders University of South Australia, GPO Box 2100, Adelaide, South Australia, 5001, Australia; e-mails: johnc and gopal@ist.flinders.edu.au.
K. Gopalsamy
Affiliation:
Department of Mathematics and Statistics, The Flinders University of South Australia, GPO Box 2100, Adelaide, South Australia, 5001, Australia; e-mails: johnc and gopal@ist.flinders.edu.au.
Jibin Li
Affiliation:
institute of Applied Mathematics of Yunnan Province, Department of Mathematics, Kunming University of Technology, Yunnan 650093, People's Republic of China; e-mail: jibinli@ynu.edu.cn.
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.

Lotka-Volterra systems have been used extensively in modelling population dynamics. In this paper, it is shown that chaotic behaviour in the sense of Smale can exist in timeperiodically perturbed systems of Lotka-Volterra equations. First, a slowly varying threedimensional perturbed Lotka-Volterra system is considered and the corresponding unperturbed system is shown to possess a heteroclinic cycle. By using Melnikov's method, sufficient conditions are obtained for the perturbed system to have a transverse heteroclinic cycle and hence to possess chaotic behaviour in the sense of Smale. Then a special case involving a reduction to a two-dimensional Lotka-Volterra system is examined, leading finally to an application with a model for the self-organisation of macromolecules.

Type
Research Article
Copyright
Copyright © Australian Mathematical Society 2001

References

[1] Byrd, P. F. and Friedman, M. D., Handbook of elliptic integrals for engineers and scientists (Springer, 1971).Google Scholar
[2] Christie, J. R., Gopalsamy, K. and Li, J., “Chaos in sociobiology”, Bull. Austral. Math. Soc. 51 (1995) 439451.CrossRefGoogle Scholar
[3] Chu, Y.-H., Chou, J.-H. and Chang, S., “Chaos from third-order phase-locked loops with a slowly varying parameter”, IEEE Trans. Circuits Syst. 37 (1990) 11041115.CrossRefGoogle Scholar
[4] Coste, J., Peyraud, J. and Coullet, P., “Asymptotic behaviour in the dynamics of competing species”, SIAM J. Appl. Math. 36 (1979) 516543.CrossRefGoogle Scholar
[5] Farkas, M., Periodic motions (Springer, New York, 1994).CrossRefGoogle Scholar
[6] Gilpin, M. E., “Spiral chaos in a predator-prey model”, Amer. Nat. 113 (1979) 306308.Google Scholar
[7] Guckenheimer, J. and Holmes, P., Nonlinear oscillations, dynamical systems, and bifurcations of vector fields (Springer, New York, 1983).Google Scholar
[8] Hofbauer, J., Schuster, P., Sigmund, K. and Wolff, R., “Dynamical systems under constant organisation II: homogeneous growth functions of degree p = 2”, SIAM J. Appl. Math. 38 (1980) 282304.CrossRefGoogle Scholar
[9] Hofbauer, J. and Sigmund, K., The theory of evolution and dynamical systems (Cambridge University Press, Cambridge, 1988).Google Scholar
[10] Inoue, M. and Kamifukumoto, H., “Scenarios leading to chaos in a forced Lotka-Volterra model”, Prog. Theor. Phys. 71 (1984) 930937.Google Scholar
[11] Kuznetsov, Yu. A., Muratori, S. and Rinaldi, S., “Bifurcations and chaos in a periodic predator-prey model”, Int. J. Bifur. Chaos 2 (1992) 117128.Google Scholar
[12] Li, J., Chaos and Melnikov's method, (in Chinese) (Chongqing University, Chongqing, 1989).Google Scholar
[13] Melnikov, V. K., “On the stability of the center for time-periodic perturbations”, Trans. Moscow Math. Soc. 12 (1963) 157.Google Scholar
[14] Rinaldi, S., Muratori, S. and Kuznetsov, Yu. A., “Multiple attractors, catastrophes and chaos in seasonally perturbed predator-prey communities”, Bull. Math. Biol. 55 (1993) 1535.CrossRefGoogle Scholar
[15] Sabin, G. C. W. and Summers, D., “Chaos in a periodically forced predator-prey ecosystem model”, Math. Biosci. 113 (1993) 91113.Google Scholar
[16] Schaffer, W. M., “Order and chaos in ecological systems”, Ecology 66 (1985) 93106.CrossRefGoogle Scholar
[17] Schuster, P., Sigmund, K. and Wolff, R., “On ω-limits for competition between three species”, SIAM J. Appl. Math. 37 (1979) 4954.CrossRefGoogle Scholar
[18] Shaw, S. W. and Wiggins, S., “Chaotic dynamics of a whirling pendulum”, Physica 31D (1988) 190211.Google Scholar
[19] Shaw, S. W. and Wiggins, S., “Chaotic motions of a torsional vibration absorber”, ASME J. Appl. Mech. 55 (1988) 952958.CrossRefGoogle Scholar
[20] Ushiki, S., “Central difference scheme and chaos”, Physica 4D (1982) 407424.Google Scholar
[21] Ushiki, S., Yamaguti, M. and Matano, H., Discrete population models and chaos, Lecture Notes in Num. Appl. Anal. 2 (1980) 125.Google Scholar
[22] Wiggins, S., Global bifurcations and chaos: analytical methods (Springer, New York, 1988).CrossRefGoogle Scholar
[23] Wiggins, S., Introduction to applied nonlinear dynamical systems and chaos (Springer, New York, 1990).Google Scholar
[24] Wiggins, S., Chaotic transport in dynamical systems (Springer, New York, 1992).CrossRefGoogle Scholar
[25] Wiggins, S. and Holmes, P., “Homoclinic orbits in slowly varying oscillators”, SIAM J. Math. Anal 18 (1987) 612629. (See also SIAM J. Math. Anal., 19 (1988) 1254–1255, errata.)CrossRefGoogle Scholar
[26] Wiggins, S. and Holmes, P., “Periodic orbits in slowly varying oscillators”, SIAM J. Math. Anal 18 (1987) 592611.CrossRefGoogle Scholar
[27] Wiggins, S. and Shaw, S. W., “Chaos and three-dimensional horseshoes in slowly varying oscillators”, ASME J. Appl. Mech. 55 (1988) 959968.CrossRefGoogle Scholar