Book Description
Presents a unified treatment of stochastic differential equations in abstract, mainly Hilbert, spaces.
Author : Kai Liu
Publisher : Cambridge University Press
Page : 277 pages
File Size : 18,89 MB
Release : 2019-05-02
Category : Mathematics
ISBN : 1108705170
Presents a unified treatment of stochastic differential equations in abstract, mainly Hilbert, spaces.
Author : Rafail Khasminskii
Publisher : Springer Science & Business Media
Page : 353 pages
File Size : 16,86 MB
Release : 2011-09-20
Category : Mathematics
ISBN : 3642232809
Since the publication of the first edition of the present volume in 1980, the stochastic stability of differential equations has become a very popular subject of research in mathematics and engineering. To date exact formulas for the Lyapunov exponent, the criteria for the moment and almost sure stability, and for the existence of stationary and periodic solutions of stochastic differential equations have been widely used in the literature. In this updated volume readers will find important new results on the moment Lyapunov exponent, stability index and some other fields, obtained after publication of the first edition, and a significantly expanded bibliography. This volume provides a solid foundation for students in graduate courses in mathematics and its applications. It is also useful for those researchers who would like to learn more about this subject, to start their research in this area or to study the properties of concrete mechanical systems subjected to random perturbations.
Author : Rafail Khasminskii
Publisher : Springer
Page : 342 pages
File Size : 38,28 MB
Release : 2011-09-25
Category : Mathematics
ISBN : 9783642232817
Since the publication of the first edition of the present volume in 1980, the stochastic stability of differential equations has become a very popular subject of research in mathematics and engineering. To date exact formulas for the Lyapunov exponent, the criteria for the moment and almost sure stability, and for the existence of stationary and periodic solutions of stochastic differential equations have been widely used in the literature. In this updated volume readers will find important new results on the moment Lyapunov exponent, stability index and some other fields, obtained after publication of the first edition, and a significantly expanded bibliography. This volume provides a solid foundation for students in graduate courses in mathematics and its applications. It is also useful for those researchers who would like to learn more about this subject, to start their research in this area or to study the properties of concrete mechanical systems subjected to random perturbations.
Author : Kai Liu
Publisher : CRC Press
Page : 311 pages
File Size : 17,78 MB
Release : 2005-08-23
Category : Mathematics
ISBN : 1420034820
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 : Simo Särkkä
Publisher : Cambridge University Press
Page : 327 pages
File Size : 46,97 MB
Release : 2019-05-02
Category : Business & Economics
ISBN : 1316510085
With this hands-on introduction readers will learn what SDEs are all about and how they should use them in practice.
Author : G. Kallianpur
Publisher : IMS
Page : 356 pages
File Size : 20,40 MB
Release : 1995
Category : Mathematics
ISBN : 9780940600386
Author : T. E. Govindan
Publisher : Springer Nature
Page : 321 pages
File Size : 13,40 MB
Release :
Category :
ISBN : 3031427912
Author : Kiyosi Ito
Publisher : SIAM
Page : 79 pages
File Size : 48,94 MB
Release : 1984-01-01
Category : Mathematics
ISBN : 9781611970234
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 : Leszek Gawarecki
Publisher : Springer Science & Business Media
Page : 300 pages
File Size : 25,29 MB
Release : 2010-11-29
Category : Mathematics
ISBN : 3642161944
The systematic study of existence, uniqueness, and properties of solutions to stochastic differential equations in infinite dimensions arising from practical problems characterizes this volume that is intended for graduate students and for pure and applied mathematicians, physicists, engineers, professionals working with mathematical models of finance. Major methods include compactness, coercivity, monotonicity, in a variety of set-ups. The authors emphasize the fundamental work of Gikhman and Skorokhod on the existence and uniqueness of solutions to stochastic differential equations and present its extension to infinite dimension. They also generalize the work of Khasminskii on stability and stationary distributions of solutions. New results, applications, and examples of stochastic partial differential equations are included. This clear and detailed presentation gives the basics of the infinite dimensional version of the classic books of Gikhman and Skorokhod and of Khasminskii in one concise volume that covers the main topics in infinite dimensional stochastic PDE’s. By appropriate selection of material, the volume can be adapted for a 1- or 2-semester course, and can prepare the reader for research in this rapidly expanding area.
Author : X Mao
Publisher : Elsevier
Page : 445 pages
File Size : 17,89 MB
Release : 2007-12-30
Category : Mathematics
ISBN : 085709940X
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 applied mathematicians, statisticians and probabilists, engineers in control and communications, and information scientists, physicists and economists. Has been revised and updated to cover the basic principles and applications of various types of stochastic systems Useful as a reference source for pure and applied mathematicians, statisticians and probabilists, engineers in control and communications, and information scientists, physicists and economists