Computational Convex Integration
Convex integration (CI) has been developed in the past 10 years as a constructive technique for the incompressible Euler equations in connection with Onsager’s conjecture. The goal of this project is to transform the theoretical CI algorithm into a computational algorithm, enabling us for the first time to directly compute weak solutions of the Euler equations with small-scale structure compatible with Kolmogorov’s K41 theory and whose existence has been first conjectured by L. Onsager in 1949. More specifically, our aim is to
- develop a numerical implementation of the construction of weak solutions with the ability to go beyond temporal scales currently available in HPC turbulence simulations.
- compare numerical convergence rates to available theoretical bounds.
- study for the first time Lagrangian properties of K41 and intermittent weak solutions.
- explore the numerical construction of weak solutions with multifractal properties, with an eye towards new, HPC-informed bounds on structure function exponents.
The project requires both theoretical and computational expertise.
Principal investigators
Prof. Dr.-Ing. Rupert Klein Freie Universität Berlin | rupert.klein@ math.fu-berlin.de | |
Dr. habil. Peter Korn Max-Planck-Institut für Meteorologie | peter.korn@ mpimet.mpg.de | |
Prof. Dr. László Székelyhidi Max-Planck-Institut für Mathematik in den Naturwissenschaften | laszlo.szekelyhidi@ mis.mpg.de |