Pattern formation, energy landscapes, and scaling laws

Felix Otto

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Inselstr. 22
04103 Leipzig

Administrative Assistant:
Katja Heid
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Lectures Winter semester 2022/2023

Nonlinear potential theory for degenerate elliptic PDE

  • Lecturer: Lukas Koch
  • Date: Thursdays, 09.00-10.30
  • Room: MPI MiS A3 01
  • Keywords: nonlinear elliptic PDE, potential theory, Wolff potentials
  • Prerequisites: Knowledge of basic properties of Sobolev spaces is assumed. Knowledge of basic elliptic regularity theory will be useful, but is not essential.


Nonlinear potential theory studies properties of solutions of nonlinear elliptic equations in analogy to the study of solutions to Laplace equation in harmonic analysis. In recent years, this perspective has gained increased interest for questions regarding the regularity theory of such equations and has been used to prove a number of surprising and sharp regularity statements. We will first explore important notions of nonlinear potential theory such as capacity, the comparison principle and polar sets. We will then use these tools to prove a-priori estimates, culminating in a nonlinear-Stein theorem - solutions to a general class of nonlinear elliptic PDEs have continuous gradient if the data is in L(n,1).

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Topics in the Spatially Homogeneous Boltzmann Equation

  • Lecturer: Daniel Heydecker
  • Date: Wednesdays, 14:00-15:30
  • Room: MPI MiS A3 01
  • Keywords: Boltzmann Equation, Kinetic Theory, Mean-Field Limits
  • Prerequisites: Basic knowledge of probability and analysis


The Boltzmann Equation is a differential-integral equation, describing how the distribution of velocities in a dilute gas evolves over time. This minicourse will focus on the spatially homogeneous case, where the theory has connections to many different areas of analysis and probability, and we will discuss aspects of the well-posedness theory, the derivation from a stochastic many-particle system, and relaxation to equilibrium.

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Other lectures at MPI MIS

Please follow this link for other regular lectures at the Max-Planck-Institute.

01.06.2023, 02:30