TY - JOUR
T1 - Sparse grid discontinuous Galerkin methods for the Vlasov-Maxwell system
AU - Tao, Zhanjing
AU - Guo, Wei
AU - Cheng, Yingda
N1 - Funding Information:
Research is supported by NSF grants DMS-1620047, DMS-1830838.Research is supported by NSF grants DMS-1453661, DMS-1720023 and the Simons Foundation under award number 558704.
Publisher Copyright:
© 2019 The Author(s)
PY - 2019/6
Y1 - 2019/6
N2 - In this paper, we develop sparse grid discontinuous Galerkin (DG) schemes for the Vlasov-Maxwell (VM) equations. The VM system is a fundamental kinetic model in plasma physics, and its numerical computations are quite demanding, due to its intrinsic high-dimensionality and the need to retain many properties of the physical solutions. To break the curse of dimensionality, we consider the sparse grid DG methods that were recently developed in [20,21] for transport equations. Such methods are based on multiwavelets on tensorized nested grids and can significantly reduce the numbers of degrees of freedom. We formulate two versions of the schemes: sparse grid DG and adaptive sparse grid DG methods for the VM system. Their key properties and implementation details are discussed. Accuracy and robustness are demonstrated by numerical tests, with emphasis on comparison of the performance of the two methods, as well as with their full grid counterparts.
AB - In this paper, we develop sparse grid discontinuous Galerkin (DG) schemes for the Vlasov-Maxwell (VM) equations. The VM system is a fundamental kinetic model in plasma physics, and its numerical computations are quite demanding, due to its intrinsic high-dimensionality and the need to retain many properties of the physical solutions. To break the curse of dimensionality, we consider the sparse grid DG methods that were recently developed in [20,21] for transport equations. Such methods are based on multiwavelets on tensorized nested grids and can significantly reduce the numbers of degrees of freedom. We formulate two versions of the schemes: sparse grid DG and adaptive sparse grid DG methods for the VM system. Their key properties and implementation details are discussed. Accuracy and robustness are demonstrated by numerical tests, with emphasis on comparison of the performance of the two methods, as well as with their full grid counterparts.
KW - Discontinuous Galerkin methods
KW - Landau damping
KW - Sparse grids
KW - Streaming Weibel instability
KW - Vlasov-Maxwell system
UR - http://www.scopus.com/inward/record.url?scp=85066270077&partnerID=8YFLogxK
U2 - 10.1016/j.jcpx.2019.100022
DO - 10.1016/j.jcpx.2019.100022
M3 - Article
AN - SCOPUS:85066270077
SN - 2590-0552
VL - 3
JO - Journal of Computational Physics: X
JF - Journal of Computational Physics: X
M1 - 100022
ER -