The primary challenge in solving kinetic equations, such as the Vlasov equation, is the high-dimensional phase space. In this context, dynamical low-rank approximations have emerged as a promising way to reduce the high computational cost imposed by such problems. However, a major disadvantage of this approach is that the physical structure of the underlying problem is not preserved. In this paper, we propose a dynamical low-rank algorithm that conserves mass, momentum, and energy as well as the corresponding continuity equations. We also show how this approach can be combined with a conservative time and space discretization.
翻译:解决Vlasov等方程式等动能方程式的主要挑战是高维相位空间。 在这方面,动态低位近似值已成为减少这类问题造成的高计算成本的有希望的方法。然而,这一方法的一个主要缺点是根本问题的实际结构没有被保留。在本文件中,我们提出了一种动态低级算法,以保存质量、动力和能量以及相应的连续性方程式。我们还展示了如何将这一方法与保守的时间和空间分离结合起来。