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Structure preserving numerical methods for the Vlasov equation
Lukas Einkemmer
TL;DR
Long-time Vlasov–Poisson integration must handle high-dimensional, nonlinear dynamics across widely separated timescales while preserving physically relevant invariants. The paper studies semi-Lagrangian discontinuous Galerkin methods, compares them with cubic spline interpolation, and reports two-stream-instability simulations indicating better entropy behavior for sLdG.
Problem
Vlasov–Poisson simulation is challenging because it may involve six-dimensional phase space, nonlinearity, and physical timescales much larger than the plasma period, while long-time integration requires preserving important invariants.
Method
The paper studies semi-Lagrangian discontinuous Galerkin methods for Vlasov–Poisson and compares them with cubic spline interpolation using characteristic-based advection.
Results
Numerical simulations indicate that cubic spline interpolation decreases entropy, whereas the semi-Lagrangian discontinuous Galerkin scheme does not show this deficiency; higher-order approximations also provide significant advantages.
Takeaways & Limitations
The study evaluates numerical methods by tracking mass, momentum, energy, positivity, entropy, and L2-norm behavior over long integrations.
Takeaways & Limitations
The report considers the electrostatic Vlasov–Poisson model, with the potential used to determine the electric field.
Abstract
from arXiv · showhide
To preserve a number of physically relevant invariants is a major concern when considering long time integration of the Vlasov equation. In the present work we consider the semi-Lagrangian discontinuous Galerkin method for the Vlasov-Poisson system. We discuss the performance of this method and compare it to cubic spline interpolation, where appropriate. In addition, numerical simulations for the two-stream instability are shown.