Lectures
Park, Jiewon (KAIST)
Hessian estimates, monotonicity formulae, and applications
This lecture is an introduction to Hessian estimates for problems in geometry analysis, also known as Li–Yau–Hamilton estimates, and their applications. These estimates are often called differential Harnack estimates as well, since they imply Harnack estimates by integration along space or spacetime paths. We will focus on how several of these matrix estimates imply monotonicity formulae, which in turn has geometric consequences.Kim, Sunghan (Uppsala University)
Minimizing constraint maps
My lectures are concerned with constraint maps, where the theory of harmonic maps intersects with free boundary problems. The vectorial maps naturally develop discontinuous singularities, as so do harmonic maps, but also give rise to free boundaries due to the constraints. The basic features were studied back in the 80s, but many important issues have been left uncovered to this day. Over the last couple of years, my collaborators and I revisited the problem, asking ourselves: “would the set of singularities meet the free boundaries?”, a central question yet highly tantalizing to answer. Very recently, we successfully tackled this issue for minimizing constraint maps, more specifically, the constraint maps locally minimizing either Dirichlet or Alt–Caffarelli energy. In my lectures, I will provide some background for the vectorial maps, present some interesting examples, and go through the novel ideas by which we resolved the issue of singularities. The lectures will be based on the joint works by Alessio Figalli (ETH), André Guerra (ETH) and Henrik Shahgholian (KTH).