Stochastic Analysis
Ito and Malliavin Calculus in Tandem
Published on 7. November 2016
Book
Hardback
357 pages
978-1-107-14051-6 (ISBN)
Description
Thanks to the driving forces of the Ito calculus and the Malliavin calculus, stochastic analysis has expanded into numerous fields including partial differential equations, physics, and mathematical finance. This book is a compact, graduate-level text that develops the two calculi in tandem, laying out a balanced toolbox for researchers and students in mathematics and mathematical finance. The book explores foundations and applications of the two calculi, including stochastic integrals and differential equations, and the distribution theory on Wiener space developed by the Japanese school of probability. Uniquely, the book then delves into the possibilities that arise by using the two flavors of calculus together. Taking a distinctive, path-space-oriented approach, this book crystallizes modern day stochastic analysis into a single volume.
Reviews / Votes
'This book is a comprehensive guide to stochastic analysis related to Brownian motion. It contains the basis of the Ito calculus and the Malliavin calculus, which are the heart of the modern analysis of Brownian motion. The book is self-contained and it is accessible for graduate students and researchers who wish to learn about stochastic differential equations.' Hiroshi Kunita 'A very readable text on stochastic integrals and differential equations for novices to the area, including a substantial chapter on analysis on Wiener space and Malliavin calculus. The many examples and applications included, such as Schilder's theorem, Ramer's theorem, semi-classical limits, quadratic Wiener functionals, and rough paths, give additional value.' David Elworthy, University of Warwick 'This book develops stochastic analysis from the path space point of view, with an emphasis on the connection between Brownian motion and partial differential equations. A detailed treatment of Malliavin calculus and important applications in finance and physics make this monograph an innovative and useful reference in the field.' David Nualart, University of KansasMore details
Series
Language
English
Place of publication
Cambridge
United Kingdom
Target group
College/higher education
Product notice
sewn/stitched
Cloth over boards
Dimensions
Height: 234 mm
Width: 161 mm
Thickness: 27 mm
Weight
626 gr
ISBN-13
978-1-107-14051-6 (9781107140516)
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Schweitzer Classification
Other editions
Additional editions
E-Book
11/2016
Cambridge University Press
€51.99
Available for download
E-Book
10/2016
Cambridge University Press
€61.99
Available for download
Persons
Hiroyuki Matsumoto is Professor of Mathematics at Aoyama Gakuin University. He graduated from Kyoto University in 1982 and received his doctor of science degree from Osaka University in 1989. His research focuses on stochastic analysis and its applications to spectral analysis of Schroedinger operations and Selberg's trace formula, and he has published several books in Japanese, including Stochastic Calculus and Introduction to Probability and Statistics. He is a member of the Mathematical Society of Japan and an editor of the MSJ Memoirs. Setsuo Taniguchi is Professor of Mathematics at Kyushu University. He graduated from Osaka University in 1980 and received his doctor of science degree from Osaka University in 1989. His research interests include stochastic differential equations and Malliavin calculus. He has published several books in Japanese, including Introduction to Stochastic Analysis for Mathematical Finance and Stochastic Calculus. He is a member of the Mathematical Society of Japan and is an editor of the Kyushu Journal of Mathematics.
Content
Preface; Frequently used notation; 1. Fundamentals of continuous stochastic processes; 2. Stochastic integrals and Ito's formula; 3. Brownian motion and Laplacian; 4. Stochastic differential equations; 5. Malliavin calculus; 6. Black-Scholes model; 7. Semiclassical limit; Appendix; References; Subject index.