Jump SDEs and the Study of Their Densities: A Self-Study Book

Jump SDEs and the Study of Their Densities: A Self-Study Book

ISBN-10:
9813297409
ISBN-13:
9789813297401
Pub. Date:
08/14/2019
Publisher:
Springer Nature Singapore
ISBN-10:
9813297409
ISBN-13:
9789813297401
Pub. Date:
08/14/2019
Publisher:
Springer Nature Singapore
Jump SDEs and the Study of Their Densities: A Self-Study Book

Jump SDEs and the Study of Their Densities: A Self-Study Book

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Overview

The present book deals with a streamlined presentation of Lévy processes and their densities. It is directed at advanced undergraduates who have already completed a basic probability course. Poisson random variables, exponential random variables, and the introduction of Poisson processes are presented first, followed by the introduction of Poisson random measures in a simple case. With these tools the reader proceeds gradually to compound Poisson processes, finite variation Lévy processes and finally one-dimensional stable cases. This step-by-step progression guides the reader into the construction and study of the properties of general Lévy processes with no Brownian component. In particular, in each case the corresponding Poisson random measure, the corresponding shastic integral, and the corresponding shastic differential equations (SDEs) are provided. The second part of the book introduces the tools of the integration by parts formula for jump processes in basic settings and first gradually provides the integration by parts formula in finite-dimensional spaces and gives a formula in infinite dimensions. These are then applied to shastic differential equations in order to determine the existence and some properties of their densities. As examples, instances of the calculations of the Greeks in financial models with jumps are shown. The final chapter is devoted to the Boltzmann equation.


Product Details

ISBN-13: 9789813297401
Publisher: Springer Nature Singapore
Publication date: 08/14/2019
Series: Universitext
Edition description: 1st ed. 2019
Pages: 355
Product dimensions: 6.10(w) x 9.25(h) x (d)

About the Author

Professor Kohatsu-Higa is a professor at Ritsumeikan University and Professor Takeuchi is a professor at Tokyo Woman's Christian University.

Table of Contents

Review of some basic concepts of probability theory.- Simple Poisson process and its corresponding SDEs.- Compound Poisson process and its associated shastic calculus.- Construction of Lévy processes and their corresponding SDEs: The finite variation case.- Construction of Lévy processes and their corresponding SDEs: The infinite variation case.- Multi-dimensional Lévy processes and their densities.- Flows associated with shastic differential equations with jumps.- Overview.- Techniques to study the density.- Basic ideas for integration by parts formulas.- Sensitivity formulas.- Integration by parts: Norris method .- A non-linear example: The Boltzmann equation.- Further hints for the exercises
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