Author: Kiyosi Ito Publisher: SIAM ISBN: 9781611970234 Category : Mathematics Languages : en Pages : 79
Book Description
A systematic, self-contained treatment of the theory of stochastic differential equations in infinite dimensional spaces. Included is a discussion of Schwartz spaces of distributions in relation to probability theory and infinite dimensional stochastic analysis, as well as the random variables and stochastic processes that take values in infinite dimensional spaces.
Author: Kai Liu Publisher: CRC Press ISBN: 1420034820 Category : Mathematics Languages : en Pages : 311
Book Description
Stochastic differential equations in infinite dimensional spaces are motivated by the theory and analysis of stochastic processes and by applications such as stochastic control, population biology, and turbulence, where the analysis and control of such systems involves investigating their stability. While the theory of such equations is well establ
Author: H Kunita Publisher: CRC Press ISBN: 9780582244900 Category : Mathematics Languages : en Pages : 340
Book Description
The book discusses the following topics in stochastic analysis: 1. Stochastic analysis related to Lie groups: stochastic analysis of loop spaces and infinite dimensional manifolds has been developed rapidly after the fundamental works of Gross and Malliavin. (Lectures by Driver, Gross, Mitoma, and Sengupta.)
Author: Da Prato Guiseppe Publisher: ISBN: 9781306148061 Category : Languages : en Pages :
Book Description
The aim of this book is to give a systematic and self-contained presentation of basic results on stochastic evolution equations in infinite dimensional, typically Hilbert and Banach, spaces. These are a generalization of stochastic differential equations as introduced by Ito and Gikham that occur, for instance, when describing random phenomena that crop up in science and engineering, as well as in the study of differential equations. The book is divided into three parts. In the first the authors give a self-contained exposition of the basic properties of probability measure on separable Banach and Hilbert spaces, as required later; they assume a reasonable background in probability theory and finite dimensional stochastic processes. The second part is devoted to the existence and uniqueness of solutions of a general stochastic evolution equation, and the third concerns the qualitative properties of those solutions. Appendices gather together background results from analysis that are otherwise hard to find under one roof. The book ends with a comprehensive bibliography that will contribute to the book's value for all working in stochastic differential equations."
Author: Kiyosi Ito
Author: G. Kallianpur
Author: Kiyosi Itô
Author: Kiyoshi Ito
Author: Kai Liu
Author: H Kunita
Author: 
Author: Giuseppe Da Prato
Author: Da Prato Guiseppe
Author: