Nonautonomous Dynamical Systems in the Life Sciences

Häftad, Engelska, 2014

Del 2102 i serien Lecture Notes in Mathematics

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Beskrivning

Nonautonomous dynamics describes the qualitative behavior of evolutionary differential and difference equations, whose right-hand side is explicitly time dependent. Over recent years, the theory of such systems has developed into a highly active field related to, yet recognizably distinct from that of classical autonomous dynamical systems. This development was motivated by problems of applied mathematics, in particular in the life sciences where genuinely nonautonomous systems abound. The purpose of this monograph is to indicate through selected, representative examples how often nonautonomous systems occur in the life sciences and to outline the new concepts and tools from the theory of nonautonomous dynamical systems that are now available for their investigation.

Produktinformation

Utgivningsdatum:2014-02-04
Mått:155 x 235 x 19 mm
Vikt:505 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Mathematics
Antal sidor:314
Upplaga:2013
Förlag:Springer International Publishing AG
ISBN:9783319030791

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Recensioner i media

"The book by Peter Kloeden and Christian Potzsche meets an important need by addressing a topical and very general problem. ... topics nicely illustrate the wide range of problems in the life sciences where nonautonomous dynamics can be important and, in many cases, is essential for an understanding of observed phenomena. The editors are to be commended for pulling together such a timely and interesting volume." (Peter V. E. McClintock, Contemporary Physics, November, 2014)

Innehållsförteckning

Nonautonomous dynamical systems in the life sciences.- Random dynamical systems with inputs.- Canard theory and excitability.- Stimulus-response reliability of biological networks.- Coupled nonautonomous oscillators.- Multisite mechanisms for ultrasensitivity in signal transduction.- Mathematical concepts in pharmacokinetics and pharmacodynamics with application to tumor growth.- Viral kinetic modeling of chronic hepatitis C and B infection.- Some classes of stochastic differential equations as an alternative modeling approach to biomedical problems.