Fast Variables in Stochastic Population Dynamics

George William Albert Constable (Autor)

Buch | Softcover

XVII, 163 Seiten

2016 | 1. Softcover reprint of the original 1st ed. 2015
Springer International Publishing (Verlag)
978-3-319-37384-3 (ISBN)

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In this thesis two variants of the fast variable elimination method are developed. They are intuitive, simple to implement and give results which are in very good agreement with those found from numerical simulations. The relative simplicity of the techniques makes them ideal for applying to problems featuring demographic stochasticity, for experts and non-experts alike.
Within the context of mathematical modelling, fast variable elimination is one of the central tools with which one can simplify a multivariate problem. When used in the context of of deterministic systems, the theory is quite standard, but when stochastic effects are present, it becomes less straightforward to apply.
While the introductory and background chapters form an excellent primer to the theory of stochastic population dynamics, the techniques developed can be applied to systems exhibiting a separation of timescales in a variety of fields including population genetics, ecology and epidemiology.

George Constable has a background in non-equilibrium statistical physics, and is especially interested in applying the ideas and techniques of stochastic theory to ecological and biological systems. His first degree was from the University of Glasgow and his Ph.D was obtained from the University of Manchester. While there, his work was primarily concerned with the derivation of effective theories for microscopically defined individual based models. Currently, he is a postdoctoral researcher looking at the effects of spatial structure on population level dynamics in the Ecology and Evolutionary Biology Department at Princeton University.

Introduction.- Technical Background.- The Conditioning Method.- The Projection Matrix Method.- Metapopulation Moran Model Analysis.- Further Developments.- Conclusion.

Erscheinungsdatum	21.11.2016
Reihe/Serie	Springer Theses
Zusatzinfo	XVII, 163 p. 40 illus., 31 illus. in color.
Verlagsort	Cham
Sprache	englisch
Maße	155 x 235 mm
Gewicht	291 g
Themenwelt	Mathematik / Informatik ► Informatik ► Theorie / Studium
	Mathematik / Informatik ► Mathematik ► Algebra
	Naturwissenschaften ► Biologie ► Ökologie / Naturschutz
	Naturwissenschaften ► Physik / Astronomie ► Angewandte Physik
	Naturwissenschaften ► Physik / Astronomie ► Theoretische Physik
	Sozialwissenschaften ► Soziologie ► Empirische Sozialforschung
Schlagworte	Data-driven Science, Modeling and Theory Building • Demographic stochasticity • Fast Variable Elimination Method • Moran Model • Stochastic Population Dynamics • Stochastic Theory of Biological Systems • Stochastic Theory of Ecological Systems • systems biology • Timescale Separation
ISBN-10	3-319-37384-6 / 3319373846
ISBN-13	978-3-319-37384-3 / 9783319373843
Zustand	Neuware