Georgia Institute of Technology College of Sciences

Solving numerically kinetic equations requires high computing power and storage capacity, which compels us to derive more tractable, dimensionally reduced models. Here we investigate fluid models derived from kinetic equations, typically the Vlasov equation. These models have a lower numerical cost and are usually more tangible than their kinetic counterpart as they describe the time evolution of quantities such as the density ρ, the fluid velocity u, the pressure p, etc. The reduction procedure naturally leads to the need for a closure of the resulting fluid equations, which can be based on various assumptions. We present here a strategy for building fluid models from kinetic equations while preserving their Hamiltonian structure. Joint work with M. Perin and E. Tassi (CNRS/Aix-Marseille University) and P.J. Morrison (University of Texas at Austin).