<DIV>This text develops the theory of systems of stochastic differential equations and presents applications in probability, partial differential equations, and stochastic control problems. Originally published in 2 volumes, it combines a book of basic theory with a book of applications. Familiarity
Stochastic differential equations and applications
โ Scribed by Avner Friedman
- Publisher
- Academic Press
- Year
- 1975
- Tongue
- English
- Leaves
- 314
- Series
- Probability and mathematical statistics series 28
- Category
- Library
No coin nor oath required. For personal study only.
โฆ Synopsis
This volume begins with auxiliary results in partial differential equations (Chapter 10) that are needed in the sequel. In Chapters 11 and 12 we study the behavior of the sample paths of solutions of stochastic differential equations in the same spirit as in Chapter 9. Chapter 11 deals with the question whether the paths can hit a given set with positive probability. Chapter 12 is concerned with the stability of paths about a given manifold, and (in case of two dimensions) with spiraling of paths about this manifold. Chapters 13-15 are concerned with applications to partial differential equations. In Chapter 13 we deal with the Dirichlet problem for degenerate elliptic equations. The results of Chapter 12 play here a fundamental role. In Chapter 14 we consider questions of singular perturbations. Chapter 15 is concerned with the existence of fundamental solutions for degenerate parabolic equations. Chapters 16 and 17 deal with stopping time problems, stochastic games and stochastic differential games.
๐ SIMILAR VOLUMES
<DIV>This text develops the theory of systems of stochastic differential equations and presents applications in probability, partial differential equations, and stochastic control problems. Originally published in 2 volumes, it combines a book of basic theory with a book of applications. Familiarity
This advanced undergraduate and graduate text has now been revised and updated to cover the basic principles and applications of various types of stochastic systems, with much on theory and applications not previously available in book form. The text is also useful as a reference source for pure and
<DIV></DIV>This advanced undergraduate and graduate text has now been revised and updated to cover the basic principles and applications of various types of stochastic systems, with much on theory and applications not previously available in book form. The text is also useful as a reference source f
The object of this book is to develop the theory of systems of stochastic differential equations and then give applications in probability, partial differential equations and stochastic control problems. In Volume 1 we develop the basic theory of stochastic differential equations and give a few sele