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
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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