Spaces of Measures and their Applications to Structured Population Models
Published on 29. September 2021
322 pages
978-1-009-02047-3 (ISBN)
Description
Structured population models are transport-type equations often applied to describe evolution of heterogeneous populations of biological cells, animals or humans, including phenomena such as crowd dynamics or pedestrian flows. This book introduces the mathematical underpinnings of these applications, providing a comprehensive analytical framework for structured population models in spaces of Radon measures. The unified approach allows for the study of transport processes on structures that are not vector spaces (such as traffic flow on graphs) and enables the analysis of the numerical algorithms used in applications. Presenting a coherent account of over a decade of research in the area, the text includes appendices outlining the necessary background material and discusses current trends in the theory, enabling graduate students to jump quickly into research.
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Series
Language
English
Place of publication
Cambridge
United Kingdom
Target group
Professional and scholarly
Illustrations
Worked examples or Exercises
File size
2,76 MB
ISBN-13
978-1-009-02047-3 (9781009020473)
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Other editions
Additional editions
Christian Duell | Piotr Gwiazda | Anna Marciniak-Czochra
Spaces of Measures and their Applications to Structured Population Models
Book
10/2021
Cambridge University Press
€150.20
Shipment within 15-20 days
Persons
Content
Notation; Introduction; 1. Analytical setting; 2. Structured population models on state space R+; 3. Structured population models on proper spaces; 4. Numerical methods for structured population models; 5. Recent developments and future perspectives; Appendix A. Topology, compactness and proper spaces; Appendix B. Functional analysis; Appendix C. Bounded Lipschitz and Hoelder functions; Appendix D. Results on approximation with polynomials; Appendix E. Differential geometry; Appendix F. Measure theory; Appendix G. Weaker topologies on spaces of measures; Appendix H. The Bochner integral; Appendix I. Semigroups; Appendix J. Supplement to Chapter 2; Appendix K. Technical proofs from Chapter 3; References; Index.
