Editors:
- Focuses on nonlinear PDEs in fluid mechanics, optimal control, and biochemical problems
- Includes contributions on maximal regularity and geometric analysis by internationally respected experts
- Combines recent topics and survey results in a volume appropriate for both experienced and young researchers
Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 346)
Conference series link(s): PDEFA: International workshop on Nonlinear Partial Differential Equations for Future Applications
Conference proceedings info: PDEFA 2017.
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Table of contents (7 papers)
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Front Matter
About this book
The contributions address an abstract maximal regularity with applications to parabolic equations, stability, and bifurcation for viscous compressible Navier–Stokes equations, new estimates for a compressible Gross–Pitaevskii–Navier–Stokes system, singular limits for the Keller–Segel system in critical spaces, the dynamic programming principle for stochastic optimal control, two kinds of regularity machineries for elliptic obstacle problems, and new insight on topology of nodal sets of high-energy eigenfunctions of the Laplacian.
This book aims to exhibit various theories and methods that appear in the study of nonlinear partial differential equations.
Editors and Affiliations
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Department of Applied Physics, Waseda University, Tokyo, Japan
Shigeaki Koike
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Department of Mathematics, Waseda University, Tokyo, Japan
Hideo Kozono
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Mathematical Institute, Tohoku University, Sendai, Japan
Takayoshi Ogawa
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Graduate School of Information Sciences, Tohoku University, Sendai, Japan
Shigeru Sakaguchi
Bibliographic Information
Book Title: Nonlinear Partial Differential Equations for Future Applications
Book Subtitle: Sendai, Japan, July 10–28 and October 2–6, 2017
Editors: Shigeaki Koike, Hideo Kozono, Takayoshi Ogawa, Shigeru Sakaguchi
Series Title: Springer Proceedings in Mathematics & Statistics
DOI: https://doi.org/10.1007/978-981-33-4822-6
Publisher: Springer Singapore
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer Nature Singapore Pte Ltd. 2021
Hardcover ISBN: 978-981-33-4821-9Published: 17 April 2021
Softcover ISBN: 978-981-33-4824-0Published: 17 April 2022
eBook ISBN: 978-981-33-4822-6Published: 16 April 2021
Series ISSN: 2194-1009
Series E-ISSN: 2194-1017
Edition Number: 1
Number of Pages: VII, 261
Number of Illustrations: 1 b/w illustrations
Topics: Analysis, Functional Analysis, Integral Equations, Mathematical Physics