Display Abstract

Title Nonautonomous and random dynamical systems in the life sciences

Name Peter E Kloeden
Country Germany
Email kloeden@math.uni-frankfurt.de
Co-Author(s)
Submit Time 2014-02-27 02:52:41
Session
Special Session 6: Random dynamical systems in the life sciences
Contents
Biomathematical models that include seasonal effects or noise are intrinsically nonautonomous and classical concepts and methods from the theory of autonomous dynamical systems are inadequate or not applicable. New concepts of nonautonomous and random attractors will briefly reviewed and illustrated here in terms of SIR and chemostat models as well as Markov chains with randomly varying transition matrx entries that model the effects of a random environment.