Stochastic Differential Equations. Hochschultext / Universitext

Seitenzahl:

370

Gewicht:

575 g

Auflage:

6th ed. 4th corr. pr.

Erschienen bei:

Springer

Kurzbeschreibung

This book gives an introduction to the basic theory of stochastic calculus and its applications. Examples are given throughout the text, in order to motivate and illustrate the theory and show its importance for many applications in e.g. economics, biology and physics. The basic idea of the presentation is to start from some basic results (without proofs) of the easier cases and develop the theory from there, and to concentrate on the proofs of the easier case (which nevertheless are often sufficiently general for many purposes) in order to be able to reach quickly the parts of the theory which is most important for the applications. For the 6th edition the author has added further exercises and, for the first time, solutions to many of the exercises are provided. TOC:Introduction.- Some Mathematical Preliminaries.- Itô Integrals.- Itô Formula and the Martingale Representation Theorem.- Stochastic Differential Equations.- The Filtering Problem.- Diffusions: Basic Properties.- Other Topics in Diffusion Theory.- Applications to Boundary Value Problems.- Applications to Optimal Stopping.- Application to Stochastic Control.- Application to Mathematical Finance.- Appendix A: Normal Random Variables.- Appendix B: Conditional Expectations.- Appendix C: Uniform Integrability and Martingale Convergence.- Appendix D: An Approximation Result.- Solutions and Additional Hints to Some of the Exercises.- References.- List of Frequently Used Notation and Symbols.- Index.

Beschreibung

This book gives an introduction to the basic theory of stochastic calculus and its applications. Examples are given throughout the text, in order to motivate and illustrate the theory and show its importance for many applications in e.g. economics, biology and physics. The basic idea of the presentation is to start from some basic results (without proofs) of the easier cases and develop the theory from there, and to concentrate on the proofs of the easier case (which nevertheless are often sufficiently general for many purposes) in order to be able to reach quickly the parts of the theory which is most important for the applications. For the 6th edition the author has added further exercises and, for the first time, solutions to many of the exercises are provided. Apart from several minor corrections and improvements, based on useful comments from readers and experts, the most important change in the corrected 5th printing of the 6th edition is in Theorem 10.1.9, where the proof of part b has been corrected and rewritten. The corrected 5th printing of the 6th edition is forthcoming and expected in September 2010.

Inhaltsverzeichnis

From the contents:§Introduction§- Some Mathematical Preliminaries§- Ito Integrals§- Ito Processes and the Ito Formula§- Stochastic Differential Equations§- The Filtering Problem§- Diffusions: Basic Problems§- Other Topics in Diffusion Theory§- Applications to Boundary Value Problems§- Applications to Optimal Stopping§- Application to Stochastic Control§- Application to Mathematical Finance§- Appendix A: Normal Random Variables§- Appendix B: Conditional Expectations§- Appendix C: Uniform Integrability and Martingale Convergence§- Solutions and Additional Hints to Some of the Exercises§- Bibliography§- List of Frequently Used Notation and Symbols§- Index

Mehr über...

Mehr über:  differential equations, Stochastik, Differenzialrechnung, Stochastische Differenzialgleichungen, stochastic differential equations, filtering theory, mathematical finance, optimal filtering, stochastic control, stochastic calculus, Mathematics / Probability & Statistics / General, Mathematics / Differential Equations

Mehr von: 

Mehr von:  Bernt Øksendal, Bernt Öksendal, Bernt Oksendal, Springer-Verlag GmbH