Synchronization in Infinite-Dimensional Deterministic and Stochastic Systems

Author:   Igor Chueshov ,  Björn Schmalfuß
Publisher:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   204
ISBN:  

9783030470937


Pages:   329
Publication Date:   30 July 2021
Format:   Paperback
Availability:   Manufactured on demand   Availability explained
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Synchronization in Infinite-Dimensional Deterministic and Stochastic Systems


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Overview

The main goal of this book is to systematically address the mathematical methods that are applied in the study of synchronization of infinite-dimensional evolutionary dissipative or partially dissipative systems. It bases its unique monograph presentation on both general and abstract models and covers several important classes of coupled nonlinear deterministic and stochastic PDEs which generate infinite-dimensional dissipative systems. This text, which adapts readily to advanced graduate coursework in dissipative dynamics, requires some background knowledge in evolutionary equations and introductory functional analysis as well as a basic understanding of PDEs and the theory of random processes. Suitable for researchers in synchronization theory, the book is also relevant to physicists and engineers interested in both the mathematical background and the methods for the asymptotic analysis of coupled infinite-dimensional dissipative systems that arise in continuum mechanics.

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Author:   Igor Chueshov ,  Björn Schmalfuß
Publisher:   Springer Nature Switzerland AG
Imprint:   Springer Nature Switzerland AG
Edition:   1st ed. 2020
Volume:   204
Weight:   0.539kg
ISBN:  

9783030470937


ISBN 10:   3030470938
Pages:   329
Publication Date:   30 July 2021
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Paperback
Publisher's Status:   Active
Availability:   Manufactured on demand   Availability explained
We will order this item for you from a manufactured on demand supplier.

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The book ends with full references and an index. The book is a self-contained piece ... . (Yilun Shang, Mathematical Reviews, March, 2022)


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