Authors:
- Contains plenty of examples and exercises
- Includes new results which have not been previously presented in book form
- Includes supplementary material: sn.pub/extras
Part of the book series: Springer Monographs in Mathematics (SMM)
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Table of contents (18 chapters)
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Front Matter
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Introduction
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Front Matter
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Convex Analysis on Phase Space
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Front Matter
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Completely Self-Dual Systems and their Lagrangians
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Front Matter
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Self-Dual Systems and their Antisymmetric Hamiltonians
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Front Matter
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About this book
Based on recent research by the author and his graduate students, this text describes novel variational formulations and resolutions of a large class of partial differential equations and evolutions, many of which are not amenable to the methods of the classical calculus of variations. While it contains many new results, the general and unifying framework of the approach, its versatility in solving a disparate set of equations, and its reliance on basic functional analytic principles, makes it suitable for an intermediate level graduate course. The applications, however, require a fair knowledge of classical analysis and PDEs which is needed to make judicious choices of function spaces where the self-dual variational principles need to be applied. It is the author's hope that this material will become standard for all graduate students interested in convexity methods for PDEs.
Nassif Ghoussoub is a Distinguished University Professor at the University of BritishColumbia. He was editor-in-chief of the Canadian Journal of Mathematics for the period 1993-2003, and has served on the editorial board of various international journals. He is the founding director of the Pacific Institute for the Mathematical Sciences (PIMS), and a co-founder of the MITACS Network of Centres of Excellence. He is also the founder and scientific director of the Banff International Research Station (BIRS). He is the recipient of many awards, including the Coxeter-James, and the Jeffrey-Williams prizes. He was elected Fellow of the Royal Society of Canada in 1993, and was the recipient of a Doctorat Honoris Causa from the Universite Paris-Dauphine in 2004.
Reviews
“The subject of this monograph is related to the relationship between large classes of partial differential equations or evolutionary systems and energy functionals associated with them. Examples include transport equations, porous media equations, and Navier-Stokes evolution equations. … This well-written book contains a large amount of material. It can be useful for graduate students and researchers interested in modern aspects of the calculus of variations with powerful applications to the qualitative analysis of partial differential equations.” (Vicenţiu D. Rădulescu, zbMATH 1357.49004, 2017)
“The subject of this monograph is related to the relationship between large classes of partial differential equations or evolutionary systems and energy functionals associated with them. … This well-written book contains alarge amount of material. It can be useful for graduate students and researchers interested in modern aspects of the calculus of variations with powerful applications to the qualitative analysis of partial differential equations.” (Vicentiu Rădulescu, Mathematical Reviews, Issue 2010 c)
Authors and Affiliations
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Department of Mathematics, University of British Columbia, Vancouver, Canada
Nassif Ghoussoub
Bibliographic Information
Book Title: Self-dual Partial Differential Systems and Their Variational Principles
Authors: Nassif Ghoussoub
Series Title: Springer Monographs in Mathematics
DOI: https://doi.org/10.1007/978-0-387-84897-6
Publisher: Springer New York, NY
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: Springer-Verlag New York 2009
Hardcover ISBN: 978-0-387-84896-9Published: 11 November 2008
Softcover ISBN: 978-1-4419-2744-6Published: 19 November 2010
eBook ISBN: 978-0-387-84897-6Published: 08 October 2008
Series ISSN: 1439-7382
Series E-ISSN: 2196-9922
Edition Number: 1
Number of Pages: XIV, 354
Topics: Functional Analysis, Partial Differential Equations, IT in Business