Home | deutsch  |  Impressum  |  Data Protection  |  Sitemap  |  Intranet  |  KIT
Workgroup Nonlinear Partial Differential Equations

Kollegiengebäude Mathematik (20.30)
Room 3.029

Karlsruher Institut für Technologie
Institut für Analysis
Englerstraße 2
76131 Karlsruhe

Office hours:
Mon-Fri 10-12, Tue+Wed 14-16

Tel.: +49 721 608 42064

Fax.: +49 721 608 46530

Classical Methods for Partial Differential Equations (Winter Semester 2019/20)

Lecturer: Prof. Dr. Michael Plum
Classes: Lecture (0105300), Problem class (0105310)
Weekly hours: 4+2


26.2.2020, 13:00 - 15:30

Lecture: Tuesday 11:30-13:00 SR 2.066
Thursday 11:30-13:00 SR -1.012 (UG)
Problem class: Wednesday 14:00-15:30 Redtenbacher-Hörsaal
Lecturer Prof. Dr. Michael Plum
Office hours: Tue 13:15 - 14:15 and by appointment.
Room 3.028 Kollegiengebäude Mathematik (20.30)
Email: michael.plum@kit.edu
Problem classes M.Sc. Zihui He
Office hours: Thursday 14:00 - 15:00
Room 3.030 Kollegiengebäude Mathematik (20.30)
Email: zihui.he@kit.edu

All the lectures on Tuesdays will be in the Seminar Room SR.2.066 (20.30) from 29.10.2019 (Tuesday)!

A differential equation is a relation between an unknown function (to be determined) and its derivatives. While for ordinary differential equations the unknown function depends on a single independent variable, it depends on several variables for partial differential equations.

A huge variety of processes in science and technology is described by partial differential equations, which therefore belong to the most important objects of investigation in Applied Mathematics.

The number of phenomena occurring in the context of partial differential equations, and the number of methods and techniques to investigate them, is by far too complex to be the content of a one semester course. The lecture course can therefore only be of an introductory type. Topics to be treated are e.g. the classical wave-, Poisson-, and heat equation, maximum principles, separation of variables, classification of quasilinear second-order equations and first-order systems, normal forms, a fixed-point approach for second-order hyperbolic equations. Strong emphasis will be put on many examples from physics and engineering.

The lecture course addresses students in their fifth semester (third year) or higher, with substantial knowledge in analysis and linear algebra. It is suitable for students of mathematics, and for students of other subjects who have strong mathematical interests.

The lectures will be accompanied by exercise lessons. Attendance of these exercises is strongly recommended to all participants.

As already mentioned, this lecture course can cover only a small portion of the overall topic of partial differential equations. Deeper knowledge can be aquired in further subsequent courses.

Preliminary unofficial and uncorrected version: script

Exercise Sheets:
The first exercise class will be on 23.10.2019!
Exercise sheet 1, to be explained on 23.10.2019
Exercise sheet 2, to be explained on 30.10.2019
Exercise sheet 3, to be explained on 06.11.2019
Exercise sheet 4, to be explained on 13.11.2019
Exercise sheet 5, to be explained on 20.11.2019

The examination will be in the form of a written exam, which takes place on 26.02.2020, 13:00-15:30, in the HS16 (20.40). The exam can be registered in the CAMPUS system from 25.10.2019 to 09.02.2020. The deregistration is possible until 25.02.2020. If you couldn't find the exam in your CAMPUS system, please register with the student office.



Evans, L. C.: Partial Differential Equations; Graduate Studies in Mathematics 19, American Mathematical Society.
John, F.: Partial Differential Equations; Springer.
Copson, E. T.: Partial Differential Equations; Cambridge University Press.
Courant, R., Hilbert, D.: Methods of Mathematical Physics, Vol. I + II; Wiley Classics.
Hellwig, G.: Partial Differential Equations; Teubner.

For those who understand German (or want to learn it):

Hellwig, G.: Partielle Differentialgleichungen; Teubner.
Leis, R.: Vorlesungen über partielle Differentialgleichungen zweiter Ordnung; Bibliographisches Institut, Mannheim.