Partial Differential Equations and Probability

This course will provide an introduction to topics of concurrent research at the interface of partial differential equations and probability. Topics may include singular SPDEs, stochastic homogenization, fluctuating hydrodynamics, and/or problems in high dimensions.

Target group: PhD students and young postdocs in mathematics, especially analysis.

Prerequisites: Background in Mathematical Analysis.
Basic knowledge of PDEs (Sobolev spaces, elliptic equations)

Evaluation: Regular Assignments

Teaching format: Lectures

ECTS: 3 Year: 2024

Track segment(s):
Elective

Teacher(s):
Julian Fischer

Teaching assistant(s):
Jonas Ingmanns