Simple Brownian diffusion : an introduction to the standard theoretical models
- Gillespie, Daniel T., author.
- First edition.
- Oxford ; New York : Oxford University Press, 2013.
- Copyright notice
- Physical description
- xiv, 273 pages : illustrations ; 25 cm
QA274.75 .G55 2013
- Unknown QA274.75 .G55 2013
- Seitaridou, Effrosyni, author.
- Includes bibliographical references and index.
- 1. The Fickian theory of diffusion -- 2. A review of random variable theory -- 3. Einstein's theory of diffusion -- 4. Implications and limitations of the Einstein theory of diffusion -- 5. The discrete-stochastic approach -- 6. Master equations and simulation algorithms for the discrete-stochastic approach -- 7. Continuous Markov process theory -- 8. Langevin's theory of diffusion -- 9. Implications of Langevin's theory -- 10. Diffusion in an external force field -- 11. The first-passage time approach.
- (source: Nielsen Book Data)
- Publisher's Summary
- Brownian diffusion is the motion of one or more solute molecules in a sea of very many, much smaller solvent molecules. Its importance today owes mainly to cellular chemistry, since Brownian diffusion is one of the ways in which key reactant molecules move about inside a living cell. This book focuses on the four simplest models of Brownian diffusion: the classical Fickian model, the Einstein model, the discrete-stochastic (cell-jumping) model, and the Langevin model. The authors carefully develop the theories underlying these models, assess their relative advantages, and clarify their conditions of applicability. Special attention is given to the stochastic simulation of diffusion, and to showing how simulation can complement theory and experiment. Two self-contained tutorial chapters, one on the mathematics of random variables and the other on the mathematics of continuous Markov processes (stochastic differential equations), make the book accessible to researchers from a broad spectrum of technical backgrounds.
(source: Nielsen Book Data)
- Publication date
- Copyright date
- Daniel T. Gillespie & Effrosyni Seitaridou.