A conditional formulation of the Vlasov-Ampere Equations: A conservative, positivity, asymptotic, and Gauss law preserving scheme
William T Taitano, Joshua W Burby, Alex Alekseenko

TL;DR
This paper introduces a new reformulation of the Vlasov-Ampère equations that ensures conservation laws, positivity, and Gauss's law preservation, enabling accurate plasma simulations across multiple scales.
Contribution
It presents a novel variable transformation and coupled system formulation that maintains key physical properties and simplifies handling the quasi-neutral limit in plasma modeling.
Findings
Successfully preserves mass, momentum, and energy conservation.
Maintains positivity of the distribution function.
Accurately captures quasi-neutral asymptotics in simulations.
Abstract
We propose a novel reformulation of the Vlasov-Amp{\`e}re equations for plasmas. This reformulation exposes discrete symmetries to achieve simultaneous conservation of mass, momentum, and energy; preservation of Gauss's law involution; positivity of the distribution function; and quasi-neutral asymptotics. Our approach relies on transforming variables and coordinates, leading to a coupled system of a modified Vlasov equation and the associated moment-field equations. The modified Vlasov equation evolves a conditional distribution function that excludes information on mass, momentum, and energy densities. The mass, momentum, and energy density, in turn, are evolved using moment equations, in which discrete symmetries, conservation laws, and involution constraints are enforced. The reformulation is compatible with a recent slow-manifold reduction technique, which separates the fast…
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
TopicsGas Dynamics and Kinetic Theory · Advanced Thermodynamics and Statistical Mechanics
