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The Statistical Physics of Fixation and Equilibration in Individual-Based Models on Hardback by Peter Ashcroft
The Statistical Physics of Fixation and Equilibration in Individual-Based Models on Hardback by Peter Ashcroft
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The Statistical Physics of Fixation and Equilibration in Individual-Based Models

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Description

This thesis explores several interdisciplinary topics at the border of theoretical physics and biology, presenting results that demonstrate the power of methods from statistical physics when applied to neighbouring disciplines. From birth-death processes in switching environments to discussions on the meaning of quasi-potential landscapes in high-dimensional spaces, this thesis is a shining example of the efficacy of interdisciplinary research. The fields advanced in this work include game theory, the dynamics of cancer, and invasion of mutants in resident populations, as well as general contributions to the theory of stochastic processes. The background material provides an intuitive introduction to the theory and applications of stochastic population dynamics, and the use of techniques from statistical physics in their analysis. The thesis then builds on these foundations to address problems motivated by biological phenomena.

Author Biography:

Peter Ashcroft graduated as a Master of Mathematics and Physics from the Univerisity of Manchester in 2012. He then studied for his PhD in Theoretical Physics in Manchester under the supervision of Dr Tobias Galla. This was completed in 2015. Peter is now a postdoc in theoretical biology at ETH Zürich where, amongst other projects, he is investigating the dynamics of blood formation and disease. 
Release date Australia
August 9th, 2016
Pages
164
Edition
1st ed. 2016
Audiences
  • Postgraduate, Research & Scholarly
  • Professional & Vocational
Illustrations
13 Illustrations, color; 50 Illustrations, black and white; XV, 164 p. 63 illus., 13 illus. in color.
Dimensions
155x235x11
ISBN-13
9783319412122
Product ID
25447794

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The Statistical Physics of Fixation and Equilibration in Individual-Based Models by Peter Ashcroft
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