Introduction to the Theory of Diffusion Processes (Translations of Mathematical Monographs) - Softcover

Krylov, N. V.

9780821846001: Introduction to the Theory of Diffusion Processes (Translations of Mathematical Monographs)

Softcover

ISBN 10: 0821846000 ISBN 13: 9780821846001

Publisher: American Mathematical Society, 1995

Focusing on one of the major branches of probability theory, this book treats the large class of processes with continuous sample paths that possess the ``Markov property''. The exposition is based on the theory of stochastic analysis, which uses such notions as stochastic differentials and stochastic integrals. The diffusion processes discussed are interpreted as solutions of It\o's stochastic integral equations. The book is designed as a self-contained introduction, requiring no background in the theory of probability or even in measure theory. In particular, the theory of local continuous martingales is covered without the introduction of the idea of conditional expectation. Krylov covers such subjects as the Wiener process and its properties, the theory of stochastic integrals, stochastic differential equations and their relation to elliptic and parabolic partial differential equations, Kolmogorov's equations, and methods for proving the smoothness of probabilistic solutions of partial differential equations. With many exercises and thought-provoking problems, this book would be an excellent text for a graduate course in diffusion processes and related subjects.

"synopsis" may belong to another edition of this title.

Synopsis:

Focusing on one of the major branches of probability theory, this book treats the large class of processes with continuous sample paths that possess the 'Markov property'. The exposition is based on the theory of stochastic analysis. The diffusion processes discussed are interpreted as solutions of Ito's stochastic integral equations. The book is designed as a self-contained introduction, requiring no background in the theory of probability or even in measure theory. In particular, the theory of local continuous martingales is covered without the introduction of the idea of conditional expectation.Krylov covers such subjects as the Wiener process and its properties, the theory of stochastic integrals, stochastic differential equations and their relation to elliptic and parabolic partial differential equations, Kolmogorov's equations, and methods for proving the smoothness of probabilistic solutions of partial differential equations. With many exercises and thought-provoking problems, this book would be an excellent text for a graduate course in diffusion processes and related subjects.

"About this title" may belong to another edition of this title.