Volume 118
Applied Mathematical Sciences
Series Editors
Anthony Bloch
Department of Mathematics, University of Michigan, Ann Arbor, MI, USA
C. L. Epstein
Department of Mathematics, University of Pennsylvania, Philadelphia, PA, USA
Alain Goriely
Department of Mathematics, University of Oxford, Oxford, UK
Leslie Greengard
New York University, New York, NY, USA
Advisory Editors
J. Bell
Center for Computational Sciences and Engineering, Lawrence Berkeley National Laboratory, Berkeley, CA, USA
P. Constantin
Department of Mathematics, Princeton University, Princeton, NJ, USA
R. Durrett
Department of Mathematics, Duke University, Durham, CA, USA
R. Kohn
Courant Institute of Mathematical Sciences, New York University, New York, NY, USA
R. Pego
Department of Mathematical Sciences, Carnegie Mellon University, Pittsburgh, PA, USA
L. Ryzhik
Department of Mathematics, Stanford University, Stanford, CA, USA
A. Singer
Department of Mathematics, Princeton University, Princeton, NJ, USA
A. Stevens
Department of Applied Mathematics, University of Mnster, Mnster, Germany
S. Wright
Computer Sciences Department, University of Wisconsin, Madison, WI, USA
Founding Editors
F. John
New York University, New York, NY, USA
J. P. LaSalle
Brown University, Providence, RI, USA
L. Sirovich
Brown University, Providence, RI, USA
The mathematization of all sciences, the fading of traditional scientific boundaries, the impact of computer technology, the growing importance of computer modeling and the necessity of scientific planning all create the need both in education and research for books that are introductory to and abreast of these developments.The purpose of this series is to provide such books, suitable for the user of mathematics, the mathematician interested in applications, and the student scientist. In particular, this series will provide an outlet for topics of immediate interest because of the novelty of its treatment of an application or of mathematics being applied or lying close to applications. These books should be accessible to readers versed in mathematics or science and engineering, and will feature a lively tutorial style, a focus on topics of current interest, and present clear exposition of broad appeal. A compliment to the Applied Mathematical Sciences series is the Texts in Applied Mathematics series, which publishes textbooks suitable for advanced undergraduate and beginning graduate courses.
More information about this series at http://www.springer.com/series/34
Edwige Godlewski and Pierre-Arnaud Raviart
Numerical Approximation of Hyperbolic Systems of Conservation Laws
2nd ed. 2021
Logo of the publisher
Edwige Godlewski
Laboratoire Jacques-Louis Lions, Sorbonne University, Paris, France
Pierre-Arnaud Raviart
Laboratoire Jacques-Louis Lions, Sorbonne University, Paris, France
ISSN 0066-5452 e-ISSN 2196-968X
Applied Mathematical Sciences
ISBN 978-1-0716-1342-9 e-ISBN 978-1-0716-1344-3
https://doi.org/10.1007/978-1-0716-1344-3
Mathematics Subject Classication (2010): 35L65 35L67 65M06 65M08 65M12 76Nxx 35L50 35L60 35Q35 65Mxx 35Q20 35Q86 76P05 76W05 80A32
Springer Science+Business Media, LLC, part of Springer Nature 2021
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Preface to the Second Edition
There was an obvious need to complete the first edition of this textbook with the treatment of source terms. Thus, a new chapter (Chap. VII) has been added, which also provides a few important principles concerning nonconservative systems that are naturally introduced with the derivation of well-balanced or asymptotic preserving schemes. Note that most theoretical results are only referred to since it is out of scope to give detailed proofs; these may be tricky and are often quite technical.
We took the opportunity of this second edition to include more examples in the introduction chapter (now Chap. I), such as MHD, shallow water, and flow in a nozzle, and to give some insights on multiphase flow models; this last subject deserves a much longer treatment. Then we thought it is important to emphasize the change of frame from Eulerian to Lagrangian coordinates and the specificity of fluid systems. Additionally, the low Mach limit has been addressed in the chapter devoted to multidimensional systems (now Chap. V) with the final section introducing all Mach schemes.
For 25 years, there has been a tremendous lot of work dedicated to the numerical approximation of hyperbolic systems, among which we choose to introduce the relaxation approach, now at the end of Chap. IV and the case of discontinuous fluxes, and interface coupling, a topic covered in Chap. VII. Both subjects are treated in some specific outlines.
Then, some complements may be found here and there, such as recalling some results of our earlier publication at the beginning of Chap. IV, or more examples of systems of two equations in Chap. II.
We must finally confess that it took us some time to complete the work of this second edition, for different reasons. In fact, most of this work was achieved several years ago, which may explain why only few very recent results are presented, some of them are just mentioned in the notes at the end of each chapter, to give a hint and provide references where the subject is more thoroughly treated.
Preface to the First Edition
This work is devoted to the theory and approximation of nonlinear hyperbolic systems of conservation laws in one or two space variables. It follows directly a previous publication on hyperbolic systems of conservation laws by the same authors, and we shall make frequent references to Godlewski and Raviart (1991) (hereafter noted G.R.), though the present volume can be read independently. This earlier publication, apart from a first chapter, especially covered the scalar case. Thus, we shall detail here neither the mathematical theory of multidimensional