Advertisement

© 1992

Stochastic Differential Equations

An Introduction with Applications

Textbook

Part of the Universitext book series (UTX)

Table of contents

  1. Front Matter
    Pages I-XIII
  2. Bernt Øksendal
    Pages 1-4
  3. Bernt Øksendal
    Pages 5-13
  4. Bernt Øksendal
    Pages 14-31
  5. Bernt Øksendal
    Pages 32-43
  6. Bernt Øksendal
    Pages 44-57
  7. Bernt Øksendal
    Pages 58-85
  8. Bernt Øksendal
    Pages 86-104
  9. Bernt Øksendal
    Pages 105-132
  10. Bernt Øksendal
    Pages 133-154
  11. Bernt Øksendal
    Pages 155-179
  12. Bernt Øksendal
    Pages 180-199
  13. Back Matter
    Pages 200-228

About this book

Introduction

From the reviews to the first edition: Most of the literature about stochastic differential equations seems to place so much emphasis on rigor and completeness that it scares the nonexperts away. These notes are an attempt to approach the subject from the nonexpert point of view.: Not knowing anything ... about a subject to start with, what would I like to know first of all. My answer would be: 1) In what situations does the subject arise ? 2) What are its essential features? 3) What are the applications and the connections to other fields?" The author, a lucid mind with a fine pedagocical instinct, has written a splendid text that achieves his aims set forward above. He starts out by stating six problems in the introduction in which stochastic differential equations play an essential role in the solution. Then, while developing stochastic calculus, he frequently returns to these problems and variants thereof and to many other problems to show how thetheory works and to motivate the next step in the theoretical development. Needless to say, he restricts himself to stochastic integration with respectto Brownian motion. He is not hesitant to give some basic results without proof in order to leave room for "some more basic applications"... It can be an ideal text for a graduate course, but it is also recommended to analysts (in particular, those working in differential equations and deterministic dynamical systems and control) who wish to learn quickly what stochastic differential equations are all about. From: Acta Scientiarum Mathematicarum, Tom 50, 3-4, 1986

Keywords

Brownian motion Differential Equations Equations Optimal Filtering Stochastic Control Stochastic calculus application applications calculus differential equation filtering theory mathematical finance optimal stopping stoc stochastic analysis

Authors and affiliations

  1. 1.Department of MathematicsUniversity of OsloOslo 3Norway

Bibliographic information

Industry Sectors
Pharma
Biotechnology
IT & Software
Telecommunications
Finance, Business & Banking
Electronics
Energy, Utilities & Environment
Aerospace
Oil, Gas & Geosciences
Engineering