An Introduction to Stochastic Integration. Second edition (Probability and its Applications)

Kai L. Chung , Ruth J. Williams

ISBN 10: 0817633863 / ISBN 13: 9780817633868

Published by Birkhauser Boston, 1990

*Price HAS BEEN REDUCED by 10% until Tuesday, May 27 (holiday SALE item)* 2nd edition, 276 pp., Hardcover, light wear to 1 corner else near fine. - If you are reading this, this item is actually (physically) in our stock and ready for shipment once ordered. We are not bookjackers. Buyer is responsible for any additional duties, taxes, or fees required by recipient's country. Seller Inventory # ZB1314693

Synopsis:

A highly readable introduction to stochastic integration and stochastic differential equations, this book combines developments of the basic theory with applications. It is written in a style suitable for the text of a graduate course in stochastic calculus, following a course in probability. Using the modern approach, the stochastic integral is defined for predictable integrands and local martingales; then Ito's change of variable formula is developed for continuous martingales. Applications include a characterization of Brownian motion, Hermite polynomials of martingales, the Feynman-Kac functional and Schrodinger equation. For Brownian motion, the topics of local time, reflected Brownian motion, and time change are discussed. New to the second edition are a discussion of the Cameron-Martin-Girsanov transformation and a final chapter which provides an introduction to stochastic differential equations, as well as many exercises for classroom use. This book will be a valuable resource to all mathematicians, statisticians, economists, and engineers employing the modern tools of stochastic analysis. The text also proves that stochastic integration has made an important impact on mathematical progress over the last decades and that stochastic calculus has become one of the most powerful tools in modern probability theory. -Journal of the American Statistical Association [horizontal dagger separator] An attractive text...written in [a] lean and precise style...eminently readable. Especially pleasant are the care and attention devoted to details...A very fine book. -Mathematical Reviews

From the Back Cover:

A highly readable introduction to stochastic integration and stochastic differential equations, this book combines developments of the basic theory with applications. It is written in a style suitable for the text of a graduate course in stochastic calculus, following a course in probability.

Using the modern approach, the stochastic integral is defined for predictable integrands and local martingales; then Itô s change of variable formula is developed for continuous martingales. Applications include a characterization of Brownian motion, Hermite polynomials of martingales, the Feynman-Kac functional and Schrödinger equation. For Brownian motion, the topics of local time, reflected Brownian motion, and time change are discussed.

New to the second edition are a discussion of the Cameron-Martin-Girsanov transformation and a final chapter which provides an introduction to stochastic differential equations, as well as many exercises for classroom use.

This book will be a valuable resource to all mathematicians, statisticians, economists, and engineers employing the modern tools of stochastic analysis.

The text also proves that stochastic integration has made an important impact on mathematical progress over the last decades and that stochastic calculus has become one of the most powerful tools in modern probability theory.

Journal of the American Statistical Association

An attractive text written in [a] lean and precise style eminently readable. Especially pleasant are the care and attention devoted to details A very fine book.

Mathematical Reviews

Bibliographic Details

Title: An Introduction to Stochastic Integration. ...
Publisher: Birkhauser Boston
Publication Date: 1990
Binding: Hardcover
Condition: Very Good
Edition: 2nd Edition