The linearized Vlasov–Maxwell system as a Hamiltonian system

We present a Hamiltonian formulation for the linearized Vlasov–Maxwell system with a Maxwellian background distribution function. We discuss the geometric properties of the model at the continuous level, and how to discretize the model in the GEMPIC framework [1]. This method allows us to preserve the structure of the system at the semi-discrete level. To integrate the model in time, we employ a Poisson splitting and discuss how to integrate each subsystem separately. We test the model against the direct delta-f method, which is the non-geometric pendant of our model. The first test case is the weak Landau damping, where our model exhibits the same physical properties for short simulations, but enjoys better long-time stability and energy conservation due to its geometric construction. These advantages becomes even more pronounced for the simulation of Bernstein waves, our second test case, where the noise in the direct delta-f method washes out all features of the dispersion relation whereas our model is able to reproduce the full spectrum correctly. The model is implemented in the open-source Python library STRUPHY [2, 3].

Authors

Institutions

Publication Details

Journal
Journal of Computational Physics
Published
2026-02-14
DOI
https://doi.org/10.1016/j.jcp.2026.114765
Primary Topic
Gas Dynamics and Kinetic Theory
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

The linearized Vlasov–Maxwell system as a Hamiltonian system

Stefan Possanner, Dominik J. Bell, Eric Sonnendrücker, Martin Campos Pinto
Journal of Computational Physics
Gas Dynamics and Kinetic Theory
article

The linearized Vlasov–Maxwell system as a Hamiltonian system

Stefan Possanner, Dominik J. Bell, Eric Sonnendrücker, Martin Campos Pinto
article en

Abstract

We present a Hamiltonian formulation for the linearized Vlasov–Maxwell system with a Maxwellian background distribution function. We discuss the geometric properties of the model at the continuous level, and how to discretize the model in the GEMPIC framework [1]. This method allows us to preserve the structure of the system at the semi-discrete level. To integrate the model in time, we employ a Poisson splitting and discuss how to integrate each subsystem separately. We test the model against the direct delta-f method, which is the non-geometric pendant of our model. The first test case is the weak Landau damping, where our model exhibits the same physical properties for short simulations, but enjoys better long-time stability and energy conservation due to its geometric construction. These advantages becomes even more pronounced for the simulation of Bernstein waves, our second test case, where the noise in the direct delta-f method washes out all features of the dispersion relation whereas our model is able to reproduce the full spectrum correctly. The model is implemented in the open-source Python library STRUPHY [2, 3].

Journal of Computational PhysicsVol. 555
Max Planck Institute for Plasma Physics (DE), Technical University of Munich (DE)
Affordable and clean energy
Openalex Percentile: Top 52%
Gas Dynamics and Kinetic Theory
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

The linearized Vlasov–Maxwell system as a Hamiltonian system — Stefan Possanner, Dominik J. Bell, et al. · Journal of Computational Physics (2026) | TGRS Research Map | TGRS