Overview
- Addresses several important classes of nonlinear PDEs
- Adapts as a textbook for advanced graduate courses in dissipative dynamics
- Appeals to both mathematicians interested in synchronization theory as well as physicists and engineers interested in mathematical background and methods for the asymptotic analysis of infinite-dimensional dissipative systems
- Uniquely presents synchronization theory in the infinite-dimensional case at the monograph level
- Remains accessible to advanced students and scientific professionals without deep knowledge of Sobolev theory and functional spaces
Part of the book series: Applied Mathematical Sciences (AMS, volume 204)
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Table of contents (4 chapters)
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Front Matter
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Deterministic Systems
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Front Matter
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Stochastic Systems
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Front Matter
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Back Matter
Keywords
About this book
Reviews
Authors and Affiliations
Bibliographic Information
Book Title: Synchronization in Infinite-Dimensional Deterministic and Stochastic Systems
Authors: Igor Chueshov, Björn Schmalfuß
Series Title: Applied Mathematical Sciences
DOI: https://doi.org/10.1007/978-3-030-47091-3
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Switzerland AG 2020
Hardcover ISBN: 978-3-030-47090-6Published: 29 July 2020
Softcover ISBN: 978-3-030-47093-7Published: 30 July 2021
eBook ISBN: 978-3-030-47091-3Published: 29 July 2020
Series ISSN: 0066-5452
Series E-ISSN: 2196-968X
Edition Number: 1
Number of Pages: XIX, 329
Topics: Dynamical Systems and Ergodic Theory, Applications of Nonlinear Dynamics and Chaos Theory, Complex Systems