Abstract
This article exploits a thermodynamic formalism and the mathematics of diffusion processes to investigate the evolutionary stability of structured populations, that is the invulnerability of the populations to invasion by rare mutants. Growth in structured populations is described in terms of random dynamical systems, and random transfer operators are used to obtain and characterize the steady state in terms of a set of macroscopic parameters. We analyze the extinction dynamics of interacting populations via coupled diffusion equations and show that evolutionary stability is characterized by the extremal states of entropy.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
7 References
L. Arnold, L. Demetrius, and V. M. Gundlach. Evolutionary formalism for products of positive random matrices. Ann. Appl. Probab., 4:859–901, 1994.
L. Arnold and V. Wihstutz, editors. Lyapunov Exponents, Proceedings, Bremen 1984, volume 1186 of Lecture Notes in Math., New York, Berlin, 1986. Springer.
T. Bogenschütz. Equilibrium States for Random Dynamical Systems. PhD thesis, Universität Bremen, 1993.
T. Bogenschütz and V. M. Gundlach. Ruelle’s transfer operator for random subshifts of finite type. Ergod. Th. & Dynam. Sys., 15:413–447, 1995.
H. Caswell. Matrix Population Models: Construction, Analysis, and Interpretation. Sinauer Associates, Sunderland, Massachusetts, 1989.
B. Charlesworth. Evolution in Age-Structured Populations. Cambridge Univ. Press, Cambridge, 1980.
J. Crow and M. Kimura. An Introduction to Population Genetics Theory. Harper and Row, New York, 1970.
L. Demetrius. Statistical mechanics and population biology. Jour. Stat. Phys., 30:709–753, 1983.
L. Demetrius and V. M. Gundlach. Game theory and evolution: Existence and characterization of evolutionary stable strategies. Preprint, 1998.
W. J. Ewens. Mathematical Population Genetics, volume 9 of Biomathematics. Springer, New York, Berlin, 1979.
W. Feller. Diffusion processes in genetics. In J. Neyman, editor, Proc. 2nd Berkeley Symposium on Mathematical Statistics and Probability, pages 227–246, Berkeley, 1951. University of California Press.
R. Fisher. The Genetical Theory of Natural Selection. Clarendon, Oxford, 1930.
J. Gillespie. Natural selection for within-generation variance in off-spring number. Genetics, 76:601–606, 1974.
V. M. Gundlach. Thermodynamic formalism for random subshifts of finite type. Report 385, Institut für Dynamische Systeme, Universität Bremen, 1996. revised 1998.
V. M. Gundlach. Random shifts and matrix products. Habilitationsschrift (in preparation), 1998.
V. M. Gundlach and O. Steinkamp. Products of random rectangular matrices. Report 372, Institut für Dynamische Systeme, Universität Bremen, 1996. To appear in Mathematische Nachrichten.
K. Khanin and Y. Kifer. Thermodynamic formalism for random transformations and statistical mechanics. Amer. Math. Soc. Transl. Ser. 2, 171:107–140, 1996.
Y. Kifer. Limit theorems for random transformations and processes in random environments. Trans. Amer. Math. Soc., 350:1481–1518, 1998.
M. Kimura. Some problems of stochastic processes in genetics. Ann. Math. Stat., 28:882–901, 1957.
H. Possehl. Dichteabhängige Lesliematrizen in der Evolutionsdynamik. Diplomarbeit, Universität Bremen, 1995.
L. Ricciardi. Diffusion Processes and Related Topics in Biology, volume 14 of Lecture Notes in Biomath. Springer, New York, Berlin, 1977.
D. Ruelle. Thermodynamic Formalism, volume 5 of Encyclopedia of Mathematics and its Applications. Addison-Wesley, Reading, Mass., 1978.
S. Tuljapurkar. Population Dynamics in Variable Environments, volume 85 of Lecture Notes in Biomath. Springer, New York, Berlin, 1990.
Rights and permissions
Copyright information
© 1999 Springer-Verlag New York, Inc.
About this chapter
Cite this chapter
Demetrius, L., Gundlach, V.M. (1999). Evolutionary Dynamics in Random Environments. In: Stochastic Dynamics. Springer, New York, NY. https://doi.org/10.1007/0-387-22655-9_16
Download citation
DOI: https://doi.org/10.1007/0-387-22655-9_16
Publisher Name: Springer, New York, NY
Print ISBN: 978-0-387-98512-1
Online ISBN: 978-0-387-22655-2
eBook Packages: Springer Book Archive