📋 Tender Overview
2?182?250,00 €
Overall budget
2?182?250,00 €
EU contribution
Objective
The project deals with the so-called Jordan-Kinderlehrer-Otto scheme, a time-discretization procedure consisting in a sequence of iterated optimization problems involving the Wasserstein distance W_2 between probability measures. This scheme allows to approximate the solutions of a wide class of PDEs (including many diffusion equations with possible aggregation effects) which have
a variational structure w.r.t. the distance W_2 but not w.r.t. Hilbertian distances. It has been used both for theoretical purposes (proving existence of solutions for new equations and studying their properties) and for numerical applications. Indeed, it naturally provides a time-discretization and, if coupled with efficient computational techniques for optimal transport problems, can be used for numerics.
This project will cover both equations which are well-studied (Fokker-Planck, for instance) and less classical ones (higher-order equations, crowd motion, cross-diffusion, sliced Wasserstein flow...). For the most classical ones, we will systematically consider estimates and properties which are known for solutions of the continuous-in-time PDEs and try to prove sharp and equivalent analogues in the discrete setting: some of these results (L^p, Sobolev, BV...) have already been proven in the simplest cases ; the results in the classical case will provide techniques to be applied to the other equations, allowing to prove existence of solutions and
to study their qualitative properties. Moreover, some estimates proven on each step of the JKO scheme can provide useful
information for the numerical schemes, reducing the computational complexity or improving the quality of the convergence.
During the project, the study of the JKO scheme will be of course coupled with a deep study of the corresponding continuous-in-time PDEs, with the effort to produce efficient numerical strategies, and with the attention to the modeling of other phenomena which could take advantage of this techniques.
