Monotone Random Systems Theory and Applications / by Igor Chueshov.

Format:

Book

Author/Creator:

Chueshov, Igor, 1951-2016, author.

Contributor:

SpringerLink (Online service)

Series:

Lecture Notes in Mathematics, 0075-8434 ; 1779.

Lecture Notes in Mathematics, 0075-8434 ; 1779

Language:

English

Subjects (All):

Distribution (Probability theory).

Differentiable dynamical systems.

Probability Theory and Stochastic Processes.

Dynamical Systems and Ergodic Theory.

Local Subjects:

Probability Theory and Stochastic Processes.

Dynamical Systems and Ergodic Theory.

Physical Description:

1 online resource (VIII, 240 pages).

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2002.

System Details:

text file PDF

Summary:

The aim of this book is to present a recently developed approach suitable for investigating a variety of qualitative aspects of order-preserving random dynamical systems and to give the background for further development of the theory. The main objects considered are equilibria and attractors. The effectiveness of this approach is demonstrated by analysing the long-time behaviour of some classes of random and stochastic ordinary differential equations which arise in many applications.

Contents:

General Facts about Random Dynamical System

Generation of Random Dynamical Systems

Order-Preserving Random Dynamical Systems

Sublinear Random Dynamical Systems

Cooperative Random Differential Equations

Cooperative Stochastic Differential Equations.

Other Format:

Printed edition:

ISBN:

9783540458159

Access Restriction:

Restricted for use by site license.