A Separable and Asymptotic-Preserving Dynamical Low-Rank Method for the Vlasov--Poisson--Fokker--Planck System
Shiheng Zhang, Jingwei Hu

TL;DR
This paper introduces a novel dynamical low-rank method for the Vlasov--Poisson--Fokker--Planck system that efficiently handles stiff collisions and preserves asymptotic behavior, demonstrated through numerical experiments.
Contribution
It develops a conservative spatial discretization and low-rank IMEX schemes for the VPFP system, with proven asymptotic-preserving properties and improved efficiency.
Findings
Accurate and robust numerical results at modest ranks.
Proof of asymptotic-preserving property for the first-order scheme.
Efficient low-rank projection enabled by factorized discretization.
Abstract
We present a dynamical low-rank (DLR) method for the Vlasov--Poisson--Fokker--Planck (VPFP) system. Our main contributions are two-fold: (i) a conservative spatial discretization of the Fokker--Planck operator that factors into velocity-only and space-only components, enabling efficient low-rank projection, and (ii) a time discretization within the DLR framework that properly handles stiff collisions. We propose both first-order and second-order low-rank IMEX schemes. For the first-order scheme, we prove an asymptotic-preserving (AP) property when the field fluctuation is small. Numerical experiments demonstrate accuracy, robustness, and AP property at modest ranks.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsTensor decomposition and applications · Gas Dynamics and Kinetic Theory · Model Reduction and Neural Networks
