Introduction to stochastic analysis and Malliavin calculus

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Last edited by MARC Bot
December 8, 2022 | History

Introduction to stochastic analysis and Malliavin calculus

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"This volume presents an introductory course on differential stochastic equations and Malliavin calculus. The material of the book has grown from a series of courses delivered at the Scuola Normale Superiore di Pisa (and also at the Trento and Funchal Universities) and has been refined over several years of teaching experience in the subject." "The lectures are addressed to a reader who is familiar with basic notions of measure theory and functional analysis." "The first part is devoted to the Gaussian measure in a separable Hilbert space, the Malliavin derivative, the construction of the Brownian motion and Ito's formula. The second part deals with the differential stochastic equations and their connection with parabolic problems. The third part contains an introduction to the Malliavin calculus." "Several applications are given, notably the Feynman-Kac, Girsanov and Clark-Ocone formulae, the Krylov-Bogoliubov and Von Neumann theorems."--Jacket.

Publish Date
Language
English
Pages
190

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Previews available in: English

Edition Availability
Cover of: Introduction to Stochastic Analysis and Malliavin Calculus
Introduction to Stochastic Analysis and Malliavin Calculus
2014, Scuola Normale Superiore
in English
Cover of: Introduction to Stochastic Analysis and Malliavin Calculus
Introduction to Stochastic Analysis and Malliavin Calculus
Jun 30, 2014, Edizioni della Normale
paperback
Cover of: Introduction to Stochastic Analysis and Malliavin Calculus
Introduction to Stochastic Analysis and Malliavin Calculus
2009, Scuola Normale Superiore
in English
Cover of: Introduction to stochastic analysis and Malliavin calculus
Introduction to stochastic analysis and Malliavin calculus
2007, Edizioni della Normale
in English

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Book Details


Table of Contents

1. Gaussian measures in Hilbert spaces
2. L[superscript 2] and Sobolev spaces with respect to a Gaussian measure
3. Brownian motion
4. Markov property of the Brownian motion
5. The Ito integral
6. The Ito formula
7. Stochastic differential equations
8. Transition evolution operators
9. Formulae of Feynman-Kac and Girsanov
10. One dimensional Malliavin calculus
11. Malliavin calculus in several dimensions
12. Asymptotic behaviour of the transition semigroup
A. Conditional expectation
B. [lambda]-systems and [pi]-systems
C. Martingales
D. Fixed points depending on parameters.

Edition Notes

Published in
Pisa, Italy
Series
Appunti -- 6, Appunti -- 6.

Classifications

Dewey Decimal Class
519
Library of Congress
QA274.23 .D3 2007

The Physical Object

Pagination
xvi, 190 pages
Number of pages
190

ID Numbers

Open Library
OL39800717M
Internet Archive
introductiontost0000dapr
ISBN 10
8876423133
ISBN 13
9788876423130
OCLC/WorldCat
181090561

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December 8, 2022 Edited by MARC Bot import existing book
December 5, 2022 Edited by ImportBot import existing book
February 26, 2022 Edited by ImportBot import existing book
April 25, 2020 Created by ImportBot import new book