Research

My research lies in the fields of nonlinear partial differential equations and applied analysis. The main focus of my research is on energy-driven systems --- broadly defined as the systems that dissipate an associated free energy.

Geometry of gradient flows

Many systems can be characterized as the steepest descent of the free energy with respect to an appropriate metric. The metric that determines the dynamics is set by the mechanism by which the energy is dissipated. Formally this gives the configuration space a structure of an (infinite dimensional) Riemannian manifold. This, geometric, viewpoint of the gradient flows is both physically natural and has proven very fruitful in obtaining mathematical results. By studying the geometry of the configuration space itself as well as the the energy landscape for the energy driving the system one is able to obtain important properties of the system. The most studied family of gradient flows for which the configuration space has a nontrivial geometry are the gradient flows in Wasserstein metric. They bear that name since the geodesic distance on the configuration space is the Wasserstein metric --- the optimal transportation metric with quadratic cost. This is explained in a particularly nice way in the paper and the book I worked on several topics in this area. In particular on problems related to coarsening behavior which are explained in more detail below. I also worked on

Coarsening

I am particularly interested in nonequilibrium systems --- the ones that stay far from an equilibrium over long times. Such systems can can have complex energy landscape with many unstable stationary points and can display rich dynamical behavior. An example of such behavior is coarsening. Two examples are shown below. As a system evolves the length scale characterizing the system grows, while many other features are preserved. The evolution appears to be statistically selfsimilar.
Coarsening in thin liquid films: Droplets interchange mass through the connecting fluid layer.

Coarsening in grain-boundary networks: Interfaces between grains move by mean curvature while preserving the 120 degree angles at triple junctions.

Recent advances, in particular the works of Kohn and Otto, have made it possible to obtain rigorous information about dynamical scaling of characteristic length scales present in complicated evolving patterns.

Biological aggregation

One of important goals in the area is to understand how simple decisions of individuals lead to complex collective behavior.

Bioinformatics

With Gustavo Rohde I recently began investigation of application of optimal-transportation type metrics in understanding large image data sets.