Methods of Small Parameter in Mathematical Biology

  • Jacek Banasiak
  • Mirosław Lachowicz
Part of the Modeling and Simulation in Science, Engineering and Technology book series (MSSET)

Table of contents

  1. Front Matter
    Pages i-xi
  2. Jacek Banasiak, Mirosław Lachowicz
    Pages 1-44
  3. Jacek Banasiak, Mirosław Lachowicz
    Pages 45-76
  4. Jacek Banasiak, Mirosław Lachowicz
    Pages 77-104
  5. Jacek Banasiak, Mirosław Lachowicz
    Pages 105-141
  6. Jacek Banasiak, Mirosław Lachowicz
    Pages 143-172
  7. Jacek Banasiak, Mirosław Lachowicz
    Pages 173-194
  8. Jacek Banasiak, Mirosław Lachowicz
    Pages 195-221
  9. Jacek Banasiak, Mirosław Lachowicz
    Pages 223-270
  10. Jacek Banasiak, Mirosław Lachowicz
    Pages 271-272
  11. Back Matter
    Pages 273-285

About this book

Introduction

This monograph presents new tools for modeling multiscale biological processes. Natural processes are usually driven by mechanisms widely differing from each other in the time or space scale at which they operate and thus should be described by appropriate multiscale models. However, looking at all such scales simultaneously is often infeasible, costly, and provides information that is redundant for a particular application. Hence, there has been a growing interest in providing a more focused description of multiscale processes by aggregating variables in a way that is relevant and preserves the salient features of the dynamics. The aim of this book is to present a systematic way of deriving the so-called limit equations for such aggregated variables and ensuring that the coefficients of these equations encapsulate the relevant information from the discarded levels of description. Since any approximation is only valid if an estimate of the incurred error is available, the tools described allow for proving that the solutions to the original multiscale family of equations converge to the solution of the limit equation if the relevant parameter converges to its critical value.

 

The chapters are arranged according to the mathematical complexity of the analysis, from systems of ordinary linear differential equations, through nonlinear ordinary differential equations, to linear and nonlinear partial differential equations. Many chapters begin with a survey of mathematical techniques needed for the analysis. All problems discussed in this book belong to the class of singularly perturbed problems; that is, problems in which the structure of the limit equation is significantly different from that of the multiscale model. Such problems appear in all areas of science and can be attacked using many techniques.

 

Methods of Small Parameter in Mathematical Biology will appeal to senior undergraduate and  graduate students in appled and biomathematics, as well as researchers specializing in differential equations and asymptotic analysis.

Keywords

Singularly perturbed problems Tikhonov theorem asymptotic analysis multiscale descriptions population dynamics random walks

Authors and affiliations

  • Jacek Banasiak
    • 1
  • Mirosław Lachowicz
    • 2
  1. 1.School of Mathematics, Statistics and Computer Science/Institute of MathematicsUniversity of KwaZulu-Natal, South Africa/Technical University of Łódź, PolandDurbanSouth Africa
  2. 2.Faculty of Mathematics, Informatics and MechanicsUniversity of WarsawWarsawPoland

Bibliographic information

  • DOI https://doi.org/10.1007/978-3-319-05140-6
  • Copyright Information Springer International Publishing Switzerland 2014
  • Publisher Name Birkhäuser, Cham
  • eBook Packages Mathematics and Statistics
  • Print ISBN 978-3-319-05139-0
  • Online ISBN 978-3-319-05140-6
  • Series Print ISSN 2164-3679
  • Series Online ISSN 2164-3725
  • About this book