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Can I read Stochastic prey-predator relationships: A random differential equation approach on EtoBox?
Stochastic prey-predator relationships: A random differential equation approach by Georges A. Bécus is a Biochemistry, Genetics and Molecular Biology article available to read on EtoBox.
What is Stochastic prey-predator relationships: A random differential equation approach about?
A stochastic model describing two interacting populations is considered. The model involves a random differential equation of the form dX/dt = A(t)X + Y (t) where the random matrix A and vector Y represent the interactions and growth rates respectively and X is a (random) vector the components of which are the logarithms of the population's sizes. An expression for the solution of the above equation is obtained whence its statistical properties can be determined. Alternatively, a method based on Liouville's theorem is used to obtain the probability distribution of the solution. Application of both methods to simple cases indicates that the random solution is asymptotically stable in the mean even when the solution to the associated deterministic equation is not, viz. in the absence of self interactions.
Who reads Stochastic prey-predator relationships: A random differential equation approach?
It is typically read by researchers, students, and practitioners in Biochemistry, Genetics and Molecular Biology.
- Author
- Georges A. Bécus
- Publisher
- Springer; Springer-Verlag; Springer New York LLC; Mathematical Biology, Inc; Springer Science and Business Media LLC; Society for Mining, Metallurgy and Exploration Inc. (ISSN 1522-9602)
- Published
- 1979
- Language
- EN
- Field
- Biochemistry, Genetics and Molecular Biology (Life Sciences)