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Markov Processes from K. Ito's Perspective (AM-155)

Paperback / softback

Main Details

Title Markov Processes from K. Ito's Perspective (AM-155)
Authors and Contributors      By (author) Daniel W. Stroock
SeriesAnnals of Mathematics Studies
Physical Properties
Format:Paperback / softback
Pages:288
Dimensions(mm): Height 235,Width 152
Category/GenreCalculus and mathematical analysis
Geometry
ISBN/Barcode 9780691115436
ClassificationsDewey:519.233
Audience
Professional & Vocational
Tertiary Education (US: College)

Publishing Details

Publisher Princeton University Press
Imprint Princeton University Press
Publication Date 26 May 2003
Publication Country United States

Description

Kiyosi Ito's greatest contribution to probability theory may be his introduction of stochastic differential equations to explain the Kolmogorov-Feller theory of Markov processes. Starting with the geometric ideas that guided him, this book gives an account of Ito's program. The modern theory of Markov processes was initiated by A. N. Kolmogorov. However, Kolmogorov's approach was too analytic to reveal the probabilistic foundations on which it rests. In particular, it hides the central role played by the simplest Markov processes: those with independent, identically distributed increments. To remedy this defect, Ito interpreted Kolmogorov's famous forward equation as an equation that describes the integral curve of a vector field on the space of probability measures. Thus, in order to show how Ito's thinking leads to his theory of stochastic integral equations, Stroock begins with an account of integral curves on the space of probability measures and then arrives at stochastic integral equations when he moves to a pathspace setting. In the first half of the book, everything is done in the context of general independent increment processes and without explicit use of Ito's stochastic integral calculus. In the second half, the author provides a systematic development of Ito's theory of stochastic integration: first for Brownian motion and then for continuous martingales. The final chapter presents Stratonovich's variation on Ito's theme and ends with an application to the characterization of the paths on which a diffusion is supported. The book should be accessible to readers who have mastered the essentials of modern probability theory and should provide such readers with a reasonably thorough introduction to continuous-time, stochastic processes.

Author Biography

Daniel W. Stroock is a Simons Professor of Mathematics at the Massachusetts Institute of Technology and the author of several books, including "A Concise Introduction to the Theory of Integration and Probability Theory, an Analytic View".