Zhou / Peng / Wang | Topological Structure of  the Solution Set for Evolution Inclusions | Buch | 978-981-13-4924-9 | sack.de

Buch, Englisch, Band 51, 269 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 435 g

Reihe: Developments in Mathematics

Zhou / Peng / Wang

Topological Structure of the Solution Set for Evolution Inclusions


Softcover Nachdruck of the original 1. Auflage 2017
ISBN: 978-981-13-4924-9
Verlag: Springer Nature Singapore

Buch, Englisch, Band 51, 269 Seiten, Previously published in hardcover, Format (B × H): 155 mm x 235 mm, Gewicht: 435 g

Reihe: Developments in Mathematics

ISBN: 978-981-13-4924-9
Verlag: Springer Nature Singapore


This book systematically presents the topological structure of solution sets and attractability for nonlinear evolution inclusions, together with its relevant applications in control problems and partial differential equations. It provides readers the background material needed to delve deeper into the subject and explore the rich research literature. 

In addition, the book addresses many of the basic techniques and results recently developed in connection with this theory, including the structure of solution sets for evolution inclusions with m-dissipative operators; quasi-autonomous and non-autonomous evolution inclusions and control systems; evolution inclusions with the Hille-Yosida operator; functional evolution inclusions; impulsive evolution inclusions; and stochastic evolution inclusions. Several applications of evolution inclusions and control systems are also discussed in detail. 

Based on extensive research work conducted by the authors and other experts over the past four years, the information presented is cutting-edge and comprehensive. As such, the book fills an important gap in the body of literature on the structure of evolution inclusions and its applications.

Zhou / Peng / Wang Topological Structure of the Solution Set for Evolution Inclusions jetzt bestellen!

Zielgruppe


Research

Weitere Infos & Material


Preliminaries.- Evolution Inclusions with m-Dissipative Operator.- Evolution Inclusions with Hille-Yosida Operator.- Quasi-autonomous Evolution Inclusions.- Non-autonomous Evolution Inclusions and Control System.- Neutral Functional Evolution Inclusions.- Impulsive Evolution Inclusions.- Stochastic Evolution Inclusions.- Index.


Yong Zhou is a Professor at the Xiangtan University from Hunan, P.R. China. He is an associate editor of six mathematical journals and a guest editor of twelve special issues of international journals indexed in the Science Citation Index (SCI). His research fields include fractional differential equation, evolution equations and inclusions, control theory of differential equations. Zhou has published 200 papers in these fields, and has coauthored 5 related published monographs. Professor Zhou was selected in 2014, 2015 and 2016 as one of the Highly Cited Researchers in Mathematics.
 
Rong-Nian Wang obtained his PhD (2006) in Mathematics from the University of Science and Technology of China, Hefei, China. In 2015, he joined the Department of Mathematics at the Shanghai Normal University, Shanghai, China as a faculty member, where he is now a Professor of Mathematics. His research interests are in the qualitative theory of partial differential equations, abstract evolution equations and inclusions, infinite-dimensional dynamical systems. He has published about 30 papers, partly in the journals such as “Mathematische Annalen”, “Journal of Functional Analysis” and “Journal of Differential Equations”.

Li Peng received her MS and PhD degrees in Mathematics from Xiangtan University, Hunan, P.R. China. She is now a postdoctoral fellow at the Xiangtan University. Her research interests are in the theory of fractional partial differential equations, abstract evolution equations and inclusions.



Ihre Fragen, Wünsche oder Anmerkungen
Vorname*
Nachname*
Ihre E-Mail-Adresse*
Kundennr.
Ihre Nachricht*
Lediglich mit * gekennzeichnete Felder sind Pflichtfelder.
Wenn Sie die im Kontaktformular eingegebenen Daten durch Klick auf den nachfolgenden Button übersenden, erklären Sie sich damit einverstanden, dass wir Ihr Angaben für die Beantwortung Ihrer Anfrage verwenden. Selbstverständlich werden Ihre Daten vertraulich behandelt und nicht an Dritte weitergegeben. Sie können der Verwendung Ihrer Daten jederzeit widersprechen. Das Datenhandling bei Sack Fachmedien erklären wir Ihnen in unserer Datenschutzerklärung.