Overview
- Provides a genuinely compressible convex integration approach
- Surveys most results achieved by convex integration
- Explains the essentials of hyperbolic conservation laws
Part of the book series: Lecture Notes in Mathematics (LNM, volume 2294)
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Table of contents (8 chapters)
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The Problem Studied in This Book
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Convex Integration
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Application to Particular Initial (Boundary) Value Problems
Keywords
About this book
The structure of this book is as follows: after providing an accessible introduction to the subject, including the essentials of hyperbolic conservation laws, the idea of convex integration in the compressible framework is developed. The main result proves that under a certain assumption there exist infinitely many solutions to an abstract initial boundary value problem for the Euler system. Next some applications of this theorem are discussed, in particular concerning the Riemann problem. Finally there is a survey of some related results.
This self-contained book is suitable for both beginners in the field of hyperbolic conservation laws as well as for advanced readers who already know about convex integration in the incompressible framework.
Authors and Affiliations
About the author
Bibliographic Information
Book Title: Convex Integration Applied to the Multi-Dimensional Compressible Euler Equations
Authors: Simon Markfelder
Series Title: Lecture Notes in Mathematics
DOI: https://doi.org/10.1007/978-3-030-83785-3
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 2021
Softcover ISBN: 978-3-030-83784-6Published: 21 October 2021
eBook ISBN: 978-3-030-83785-3Published: 20 October 2021
Series ISSN: 0075-8434
Series E-ISSN: 1617-9692
Edition Number: 1
Number of Pages: X, 242
Number of Illustrations: 8 b/w illustrations, 9 illustrations in colour
Topics: Analysis, Classical and Continuum Physics, Global Analysis and Analysis on Manifolds