A stable multiplicative dynamical low-rank discretization for the linear Boltzmann-BGK equation
Abstract
The numerical method of dynamical low-rank approximation (DLRA) has recently been applied to various kinetic equations showing a significant reduction of the computational effort. In this paper, we apply this concept to the linear Boltzmann-Bhatnagar-Gross-Krook (Boltzmann-BGK) equation which due its high dimensionality is challenging to solve. Inspired by the special structure of the non-linear Boltzmann-BGK problem, we consider a multiplicative splitting of the distribution function. We propose a rank-adaptive DLRA scheme making use of the basis update & Galerkin integrator and combine it with an additional basis augmentation to ensure numerical stability, for which an analytical proof is given and a classical hyperbolic Courant-Friedrichs-Lewy (CFL) condition is derived. This allows for a further acceleration of computational times and a better understanding of the underlying problem in finding a suitable discretization of the system. Numerical results of a series of different test examples confirm the accuracy and efficiency of the proposed method compared to the numerical solution of the full system.
Cite
@article{arxiv.2411.06844,
title = {A stable multiplicative dynamical low-rank discretization for the linear Boltzmann-BGK equation},
author = {Lena Baumann and Lukas Einkemmer and Christian Klingenberg and Jonas Kusch},
journal= {arXiv preprint arXiv:2411.06844},
year = {2024}
}