Stochastic Analysis
Author:   Ichiro Shigekawa
Publisher:   American Mathematical Society
Edition:   illustrated Edition
Volume:   No. 224
ISBN:  

9780821826263


Pages:   200
Publication Date:   01 May 2004
Format:   Paperback
Availability:   Temporarily unavailable   Availability explained
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.

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Stochastic Analysis


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Overview

Stochastic analysis is often understood as the analysis of functionals defined on the Wiener space, i.e., the space on which the Wiener process is realized. Since the Wiener space is infinite-dimensional, it requires a special calculus, the so-called Malliavin calculus. This book provides readers with a concise introduction to stochastic analysis, in particular, to the Malliavin calculus. It contains a detailed description of all the technical tools necessary to describe the theory, such as the Wiener process, the Ornstein-Uhlenbeck process, and Sobolev spaces. It also presents applications of stochastic calculus to the study of stochastic differential equations. The volume is suitable for graduate students and research mathematicians interested in probability and random processes.

Full Product Details

Author:   Ichiro Shigekawa
Publisher:   American Mathematical Society
Imprint:   American Mathematical Society
Edition:   illustrated Edition
Volume:   No. 224
Weight:   0.241kg
ISBN:  

9780821826263


ISBN 10:   0821826263
Pages:   200
Publication Date:   01 May 2004
Audience:   College/higher education ,  Professional and scholarly ,  Postgraduate, Research & Scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Temporarily unavailable   Availability explained
The supplier advises that this item is temporarily unavailable. It will be ordered for you and placed on backorder. Once it does come back in stock, we will ship it out to you.

Table of Contents

Wiener space Orenstein-Uhlenbeck process The Littlewood-Paley-Stein inequality Sobolev spaces on an abstrct Wiener space Absolute continuity of distributions and smoothness of density functions Application to stochastic differential equations Perspectives on current research Bibliography Index.

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