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Arbeitsgruppe Nichtlineare Partielle Differentialgleichungen

Kollegiengebäude Mathematik (20.30)
Zimmer 3.029

Karlsruher Institut für Technologie
Institut für Analysis
Englerstraße 2
76131 Karlsruhe

Mo-Fr 10:00-12:00, sowie Di+Do nachmittags

Tel.: 0721 608 42064

Fax.: 0721 608 46530

Computer Assisted Proofs for Partial Differential Equations (Sommersemester 2012)

Dozent: Dr. Kaori Nagato-Plum
Veranstaltungen: Vorlesung (0156600)
Semesterwochenstunden: 4

Examination on 27.09.2012 at 3A-03 (Allianz-Gebäude)

Time Matrikelnummer
13:00-13:30 1430406
13:30-14:00 1431181
14:00-14:30 1444219
14:30-15:00 1508261
15:00-15:30 1517182

The lectures will be given in English.

The lecture on 4th May is shifted to
8th May (17:30--19:00, Room: 1C-02).

The lecture on 7th May is as usual (14:00-15:30).

27.09.2012 13:00--

Please choose the following title on the registration:
Computerunterstützte analytische Methoden für Rand- und Eigenwertprobleme

Deadline of the registration: 25.07.2012!

Vorlesung: Montag 14:00-15:30 1C-04 Beginn: 16.4.2012
Freitag 9:45-11:15 1C-04
Dozentin Dr. Kaori Nagato-Plum
Sprechstunde: Mo. -- Fr. 10:00-12:00
Zimmer 2.029 Kollegiengebäude Mathematik (20.30)
Email: kaori.nagatou@kit.edu

Mathematical models in form of differential equations play an essential role in science and engineering, and investigating their solutions is of high importance in various respects, including the basic concepts of industrial technologies. Many analytical methods have been (and are being) developed over the centuries which give answers to questions concerning existence, multiplicity, and qualitative and quantitative properties of solutions to various classes of differential equation problems, such as variational methods, index and degree theory, monotonicity methods, fixed-point methods, semi-group methods, and more. Nevertheless, many important problems from theory and practice are still lacking satisfactory analytical results. On the other hand, numerical methods for computing approximate solutions to differential equation problems have enjoyed a huge development over the last decades, ranging from finite differences and projective spectral methods to finite elements and finite volumes, often in combination with multigrid schemes and specialized numerical linear algebra.

So many differential equation problems allow very "stable" numerical computations of approximate solutions, but are lacking results which are reliable in a strict mathematical sense. The field of "computer-assisted proofs" or "verified computations", which has attracted much attention in recent years, exploits the knowledge of "good" numerical approximate solutions to produce, by additional analytical arguments, strict mathematical results e.g. in form of existence statements together with rigorous error bounds. This field is by nature located near the borderline between analysis and numerical mathematics, which makes it very interesting and, since strengths of both sides are combined, also powerful.

The lecture course aims at the introduction of basic principles of computer-assisted proofs for differential equations based on a functional analytical setting, and also at rigorous computational techniques by use of interval arithmetic.

The lecture course addresses students in their sixth semester or higher, with basic knowledge in functional analysis and partial differential equations. It is suitable for students of mathematics, and for students of other subjects who have strong mathematical interests.

Material on 16.04.2012
Material on 23&27.04.2012 Material on 27.04.2012
Material on 20.07.2012


A written or oral examination (depending on the number of attendees) will be held in the end of the semester.


(More papers will be introduced during the lecture course.)

1. Robert A. Adams, John J. F. Fournier, SOBOLEV SPACES, second edition, Academic Press, 2003.
2. Götz Alefeld and Jürgen Herzberger, INTRODUCTION TO INTERVAL COMPUTATIONS, Academic Press, 1983.
3. Michael Plum, Computer-assisted Proofs for Semilinear Elliptic Boundary Value Problems. Japan Journal for Industrial and Applied Mathematics, Vol. 26, No. 2-3 (2009).