Aims:
The module introduces to variational minimization problems and/or variational methods for PDEs.
It may cover problems in a classical smooth setting as well as theory in Sobolev spaces.
Content:
A selection out of the following:
- Model problems and examples (Dirichlet energy, isoperimetric and brachistochrone problems, minimal surfaces, Bolza and Weierstrass examples, …),
- Existence and uniqueness of minimizers by direct methods,
- Weak lower semicontinuity of (quasi)convex variational integrals,
- Necessary and sufficient (PDE) conditions for minimizers,
- Problems with constraints (obstacles, capacities, manifold and volume constraints, ...),
- Generalized minimizers (relaxation, Young measures, ...),
- Variational principles and applications,
- Duality theory,
- Outlook on regularity.
Pre-requisites:
A solid background in analysis and linear algebra is necessary.
Familiarity with functional analysis, Sobolev spaces, and PDEs can be advantageous.