Dynamical systems with random influences occur throughout the physical, biological, and social sciences. By carefully studying a randomly varying system over a small time interval, a discrete shastic process model can be constructed. Next, letting the time interval shrink to zero, an Ito shastic differential equation model for the dynamical system is obtained.
This modeling procedure is thoroughly explained and illustrated for randomly varying systems in population biology, chemistry, physics, engineering, and finance. Introductory chapters present the fundamental concepts of random variables, shastic processes, shastic integration, and shastic differential equations. These concepts are explained in a Hilbert space setting which unifies and simplifies the presentation. Computer programs, given throughout the text, are useful in solving representative shastic problems. Analytical and computational exercises are provided in each chapter that complement the material in the text.
Modeling with Itô Shastic Differential Equations is useful for researchers and graduate students. As a textbook for a graduate course, prerequisites include probability theory, differential equations, intermediate analysis, and some knowledge of scientific programming.