Topological Dynamics of Random Dynamical Systems

Name: Topological Dynamics of Random Dynamical Systems
Brand: Oxford University Press
SKU: 9780198501572
Price: 77768 HUF
Availability: InStock

Szerző: Nguyen Dinh Cong

Nyelv:

Kötés: Kemény kötésű

Kiadó: Oxford University Press

Elérhetőség: Beszállítói készleten

Küldés 10-18 napon belül

77 768 Ft

This book is devoted to the theory of topological dynamics of random dynamical systems. The theory...

Információk a könyvről

Szerző

Nguyen Dinh Cong

Nyelv

Angol

Kötés

Könyv - Kemény kötésű

Kiadva

1997

oldal

212

EAN

9780198501572

ISBN

0198501579

Enbook ID

04526770

Kiadó

Oxford University Press

Súly

442

Méretek

161 x 242 x 16

Teljes leírás

This book is devoted to the theory of topological dynamics of random dynamical systems. The theory of random dynamical systems is a relatively new and fast expanding field of research which attracts the attention of researchers from various fields of science. It unites and develops the classical deterministic theory of dynamical systems and probability theory, hence finding many applications in a very wide range of disciplines from physics to biology to engineering, finance, and economics. Recent developments call for a systematic presentation of the theory. Topological dynamics of random dynamical systems is the first book to deal with the theory of topological dynamics of random dynamical systems. It presents in detail the solutions to the most fundamental problems of topological dynamics: linearization of nonlinear smooth systems, classification, and structural stability of linear hyperbolic systems. Employing the tools and methods of algebraic ergodic theory, the theory presented in the book has surprisingly beautiful results showing the richness of random dynamical systems as well as giving a gentle generalization of the classical deterministic theory.Mathematicians working in the theory of dynamical systems, stochastic dynamics, as well as those interested in applications of mathematical systems with random noise, will find this timely book a valuable reference and rich source of modern mathematical results and methods.

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