Partial Differential Equations
This course, together with the course Functional Analysis, forms the basis of the studies in the area of analysis in the master programme.
A wide variety of mathematical models can be formulated in terms of a partial differential equation (PDE). For example, PDEs are used to describe phenomena such as diffusion, heat conduction, elasticity, electrodynamics, fluid flow and quantum mechanics. They also play an important role in mathematical finance, e.g. in the Black-Scholes option pricing model.
The course gives an introduction to the theory of PDEs. We will study the prototypes of the three basic types of PDEs encountered in many applications (elliptic, parabolic and hyperbolic equations) and discuss several notions of solution. We will also make use of functional analytic methods. The basic concepts needed in this respect will be recalled.
- Analysis I, II
- Linear Algebra I
- Measure Theory
1. Option: Wednesday, August 1st, 2018, 9:30-12:00.
2. Option: Thursday, September 27th, 2018, 9:30-12:00.
There is no obligatory "Vorleistung". Anyone is allowed to take part in the exam.
- L. Evans: Partial Differential Equations, American Mathematical Society
- B. Schweizer: Partielle Differentialgleichungen: Eine anwendungsorientierte Einführung, Springer
- M. Renardy, R. Rogers: An Introduction to Partial Differential Equations, Springer
- F. Sauvigny, Partielle Differentialgleichungen der Geometrie und der Physik, Springer
- J. Jost, Partielle Differentialgleichungen, Springer
- S. Salsa: Partial Differential Equations in Action, Springer
The literature is available in the library. A more detailed list of literature will be available in the lecture notes, which are accessible in the moodle system.
Please enroll in Moodle. You will find the exercises there.
Monday 14–16: He18, E.60
Wednesday 8–10: He18, E.60 (we start 8:30)
Friday 10–12: He18, E.60
- Question Time: Friday 14-15: H 21