Overview
- Provides the common mathematical groundwork over a variety of biological applications
- Brings together nonlinear dynamics, stochastic processes, irreversible thermodynamics, physical chemistry and biochemistry
- Large number and variety of applications, examples and exercises
- Includes supplementary material: sn.pub/extras
Part of the book series: Lecture Notes on Mathematical Modelling in the Life Sciences (LMML)
Access this book
Tax calculation will be finalised at checkout
Other ways to access
Table of contents (9 chapters)
-
Front Matter
-
Back Matter
Keywords
About this book
This book brings theories in nonlinear dynamics, stochastic processes, irreversible thermodynamics, physical chemistry and biochemistry together in an introductory but formal and comprehensive manner. Coupled with examples, the theories are developed stepwise, starting with the simplest concepts and building upon them into a more general framework. Furthermore, each new mathematical derivation is immediately applied to one or more biological systems. The last chapters focus on applying mathematical and physical techniques to study systems such as: gene regulatory networks and molecular motors.
The target audience of this book are mainly final year undergraduate and graduate students with a solid mathematical background (physicists, mathematicians and engineers), as well as with basic notions of biochemistry and cellular biology. This book can also be useful to students with a biological background who are interested in mathematical modeling and have a working knowledge of calculus, differential equations and a basic understanding of probability theory.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Chemical Kinetics, Stochastic Processes, and Irreversible Thermodynamics
Authors: Moisés Santillán
Series Title: Lecture Notes on Mathematical Modelling in the Life Sciences
DOI: https://doi.org/10.1007/978-3-319-06689-9
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer International Publishing Switzerland 2014
Softcover ISBN: 978-3-319-06688-2Published: 17 July 2014
eBook ISBN: 978-3-319-06689-9Published: 27 June 2014
Series ISSN: 2193-4789
Series E-ISSN: 2193-4797
Edition Number: 1
Number of Pages: XIII, 126
Number of Illustrations: 16 illustrations in colour
Topics: Mathematical and Computational Biology, Probability Theory and Stochastic Processes, Math. Applications in Chemistry