Theory And Applications Of Stochastic Processes: An Analytical Approach (Applied Mathematical Sciences, 170),Used

Product DescriptionStochastic processes and diffusion theory are the mathematical underpinnings of many scientific disciplines, including statistical physics, physical chemistry, molecular biophysics, communications theory and many more. Many books, reviews and research articles have been published on this topic, from the purely mathematical to the most practical.This book offers an analytical approach to stochastic processes that are most common in the physical and life sciences, as well as in optimal control and in the theory of filltering of signals from noisy measurements. Its aim is to make probability theory in function space readily accessible to scientists trained in the traditional methods of applied mathematics, such as integral, ordinary, and partial differential equations and asymptotic methods, rather than in probability and measure theory.ReviewFrom the reviews:It intends to investigate the role of stochastic processes in questions from physics or engineering, to explore the strong relationship between stochastic and partial differential equations and to provide analytical approximations to the solutions. The book will be very helpful to people working in disciplines like statistical physics, physical chemistry, molecular biophysics, and communications theory. Endowed with numerous exercises and workedout examples, it may also provide graduate students with a wellthoughtout twosemester course on stochastic processes and their applications. (Dominique Lpingle, Mathematical Reviews, Issue 2011 d)This book is something for which many have been long awaiting. It provides a rather indepth presentation of the analytical approach to stochastic processes with continuous paths. The methods developed in the text are very accessible to applied mathematicians with a basic background in probability theory. This is a timely and unique contribution, from one of its leading researchers over four decades, to an exciting area of applied mathematics with evergrowing importance. (Hong Qian, SIAM Review, Vol. 53 (1), 2011)From the Back CoverThis book offers an analytical approach to stochastic processes that are most common in the physical and life sciences. Its aim is to make probability theory readily accessible to scientists trained in the traditional methods of applied mathematics, such as integral, ordinary, and partial differential equations and in asymptotic methods, rather than in probability and measure theory. It shows how to derive explicit expressions for quantities of interest by solving equations. Emphasis is put on rational modeling and approximation methods.The book includes many detailed illustrations, applications, examples and exercises. It will appeal to graduate students and researchers in mathematics, physics and engineering.