Existence Theory for Generalized Newtonian Fluids (ePub)
(Sprache: Englisch)
Existence Theory for Generalized Newtonian Fluids provides a rigorous mathematical treatment of the existence of weak solutions to generalized Navier-Stokes equations modeling Non-Newtonian fluid flows. The book presents classical results, developments over...
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Existence Theory for Generalized Newtonian Fluids provides a rigorous mathematical treatment of the existence of weak solutions to generalized Navier-Stokes equations modeling Non-Newtonian fluid flows. The book presents classical results, developments over the last 50 years of research, and recent results with proofs.
- Provides the state-of-the-art of the mathematical theory of Generalized Newtonian fluids
- Combines elliptic, parabolic and stochastic problems within existence theory under one umbrella
- Focuses on the construction of the solenoidal Lipschitz truncation, thus enabling readers to apply it to mathematical research
- Approaches stochastic PDEs with a perspective uniquely suitable for analysis, providing an introduction to Galerkin method for SPDEs and tools for compactness
Autoren-Porträt von Dominic Breit
Dominic Breit is currently Assistant Professor in the Department of Mathematics at Heriot Watt University, Edinburgh. In 2009, Breit finished his PhD study at Saarland University in Saarbrücken (Germany). In 2014, he was awarded a price for the best habilitation thesis at LMU Munich for a thesis which is the basis for this book.
Bibliographische Angaben
- Autor: Dominic Breit
- 2017, 286 Seiten, Englisch
- Verlag: Elsevier Science & Techn.
- ISBN-10: 0128110457
- ISBN-13: 9780128110454
- Erscheinungsdatum: 22.03.2017
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eBook Informationen
- Dateiformat: ePub
- Grösse: 8.87 MB
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Sprache:
Englisch
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Pressezitat
"The main tools used in the book are related with Sobolev, Lebesgue and Orlicz spaces, with Bogovskii operator and with some special Korn-type inequalities...A large number of proofs and details are given, very useful for those interested in this field." --Zentralblatt MATH
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