MATJ5116 MA1: Convexity, Partial Differential Equations and Game Theory (JSS33) (2 cr)

Study level:
Postgraduate studies
Grading scale:
Pass - fail
Language:
English
Responsible organisation:
Faculty of Mathematics and Science
Curriculum periods:
2024-2025

Description

This course aims to explain in a self-contained way the main ideas behind the relation between convexity and partial differential equations (PDE).
We will develop the following:

  • Introduction to fully nonlinear elliptic and parabolic PDE. Viscosity solutions, comparison arguments.
  • Classical convexity. Convex sets. Convex functions. Regularity results. lipschitz continuity. Second order differentiability, Aleksandroff theorem. Different notions of convexity.
  • The convex envelope of a boundary datum inside a domain. Characterization as a solution to the Dirichlet problem for a PDE. C^1 regularity.
  • A brief introduction to game theory and PDEs. A game for the convex envelope of a boundary datum.

Learning outcomes

It is expected that the students become familiar with the concept of viscosity solution to a PDE and understand its relation with convexity and game theory.
These lectures aim to provide a general (and as self-contained as possible) exposition with lectures, exercises and discussion.

Description of prerequisites

The only prerequisites are a solid background in Mathematical Analysis in the Euclidean space (including some notions of measure theory) and some basic notions of Probability (at undergraduate level). A basic knowledge of PDEs is desirable.

Completion methods

Method 1

Description:
Lectures + exercises
Evaluation criteria:
Exercises at least half completed, pass/fail
Select all marked parts
Parts of the completion methods
x

Participation in teaching (2 cr)

Type:
Participation in teaching
Grading scale:
Pass - fail
Evaluation criteria:
<p>Exercises at least half completed, pass/fail</p>
Language:
English
Study methods:
Lectures + exercises

Teaching