Markov processes : an introduction for physical scientists /

Markov process theory is basically an extension of ordinary calculus to accommodate functions whos time evolutions are not entirely deterministic. It is a subject that is becoming increasingly important for many fields of science. This book develops the single-variable theory of both continuous and...

Full description

Bibliographic Details
Main Author: Gillespie, Daniel T.
Corporate Author: ScienceDirect (Online service)
Format: eBook
Language:English
Language Notes:English.
Published: Boston : Academic Press, ©1992.
Subjects:
Online Access:Connect to the full text of this electronic book
Description
Summary:Markov process theory is basically an extension of ordinary calculus to accommodate functions whos time evolutions are not entirely deterministic. It is a subject that is becoming increasingly important for many fields of science. This book develops the single-variable theory of both continuous and jump Markov processes in a way that should appeal especially to physicists and chemists at the senior and graduate level. Key Features * A self-contained, prgamatic exposition of the needed elements of random variable theory * Logically integrated derviations of the Chapman-Kolmogorov equation, the Kramers-Moyal equations, the Fokker-Planck equations, the Langevin equation, the master equations, and the moment equations * Detailed exposition of Monte Carlo simulation methods, with plots of many numerical examples * Clear treatments of first passages, first exits, and stable state fluctuations and transitions * Carefully drawn applications to Brownian motion, molecular diffusion, and chemical kinetics.
Physical Description:1 online resource (xxi, 565 pages) : illustrations
Bibliography:Includes bibliographical references (page xxi) and index.
ISBN:9780080918372
0080918379
1299536166
9781299536166