Overview
- The book corresponds to a 6-credits course, and is suitable for being used as a reference textbook
- The variational (Hilbert space) approach is consistently used in all the book
- The book contains almost 80 exercises, and all of them are completely solved
Part of the book series: UNITEXT (UNITEXT, volume 154)
Part of the book sub series: La Matematica per il 3+2 (UNITEXTMAT)
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About this book
This textbook is devoted to second order linear partial differential equations. The focus is on variational formulations in Hilbert spaces. It contains elliptic equations, including the biharmonic problem, some useful notes on functional analysis, a brief presentation of Sobolev spaces and their properties, some basic results on Fredholm alternative and spectral theory, saddle point problems, parabolic and linear Navier-Stokes equations, and hyperbolic and Maxwell equations. Almost 80 exercises are added, and the complete solution of all of them is included. The work is mainly addressed to students in Mathematics, but also students in Engineering with a good mathematical background should be able to follow the theory presented here. This second edition has been enriched by some new sections and new exercises; in particular, three important equations are now included: the biharmonic equation, the linear Navier-Stokes equations and the Maxwell equations.
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Table of contents (10 chapters)
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Bibliographic Information
Book Title: A Compact Course on Linear PDEs
Authors: Alberto Valli
Series Title: UNITEXT
DOI: https://doi.org/10.1007/978-3-031-35976-7
Publisher: Springer Cham
eBook Packages: Mathematics and Statistics, Mathematics and Statistics (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2023
Softcover ISBN: 978-3-031-35975-0Published: 30 August 2023
eBook ISBN: 978-3-031-35976-7Published: 29 August 2023
Series ISSN: 2038-5714
Series E-ISSN: 2532-3318
Edition Number: 2
Number of Pages: XV, 262
Number of Illustrations: 9 b/w illustrations, 4 illustrations in colour
Topics: Partial Differential Equations, Computational Mathematics and Numerical Analysis, Functional Analysis