English

Conservative DG Method for the Micro-Macro Decomposition of the Vlasov-Poisson-Lenard-Bernstein Model

Numerical Analysis 2022-05-11 v1 Numerical Analysis Computational Physics

Abstract

The micro-macro (mM) decomposition approach is considered for the numerical solution of the Vlasov--Poisson--Lenard--Bernstein (VPLB) system, which is relevant for plasma physics applications. In the mM approach, the kinetic distribution function is decomposed as f=E[ρf]+gf=\mathcal{E}[\boldsymbol{\rho}_{f}]+g, where E\mathcal{E} is a local equilibrium distribution, depending on the macroscopic moments ρf=Refdv=efR\boldsymbol{\rho}_{f}=\int_{\mathbb{R}}\boldsymbol{e} fdv=\langle\boldsymbol{e} f\rangle_{\mathbb{R}}, where e=(1,v,12v2)T\boldsymbol{e}=(1,v,\frac{1}{2}v^{2})^{\rm{T}}, and gg, the microscopic distribution, is defined such that egR=0\langle\boldsymbol{e} g\rangle_{\mathbb{R}}=0. We aim to design numerical methods for the mM decomposition of the VPLB system, which consists of coupled equations for ρf\boldsymbol{\rho}_{f} and gg. To this end, we use the discontinuous Galerkin (DG) method for phase-space discretization, and implicit-explicit (IMEX) time integration, where the phase-space advection terms are integrated explicitly and the collision operator is integrated implicitly. We give special consideration to ensure that the resulting mM method maintains the egR=0\langle\boldsymbol{e} g\rangle_{\mathbb{R}}=0 constraint, which may be necessary for obtaining (i) satisfactory results in the collision dominated regime with coarse velocity resolution, and (ii) unambiguous conservation properties. The constraint-preserving property is achieved through a consistent discretization of the equations governing the micro and macro components. We present numerical results that demonstrate the performance of the mM method. The mM method is also compared against a corresponding DG-IMEX method solving directly for ff.

Keywords

Cite

@article{arxiv.2107.10798,
  title  = {Conservative DG Method for the Micro-Macro Decomposition of the Vlasov-Poisson-Lenard-Bernstein Model},
  author = {Eirik Endeve and Cory D. Hauck},
  journal= {arXiv preprint arXiv:2107.10798},
  year   = {2022}
}

Comments

Submitted to Journal of Computational Physics