Abstract | ||
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In this paper, we develop an iteration free backward semi-Lagrangian method for nonlinear guiding center models. We apply the fourth-order central difference scheme for the Poisson equation and employ the local cubic interpolation for the spatial discretization. A key problem in the time discretization is to find the characteristic curve arriving at each grid point which is the solution of a system of highly nonlinear ODEs with a self-consistency imposed by the Poisson equation. The proposed method is based on the error correction method recently developed by the authors. For the error correction method, we introduce a modified Euler's polygon and solve the induced asymptotically linear differential equation with the midpoint quadrature rule to get the error correction term. We prove that the proposed iteration free method has convergence order at least 3 in space and 2 in time in the sense of the L-2-norm. In particular, it is shown that the proposed method has a good performance in computational cost together with better conservation properties in mass, the total kinetic energy, and the enstrophy compared to the conventional second-order methods. Numerical test results are presented to support the theoretical analysis and discuss the properties of the newly proposed scheme. |
Year | DOI | Venue |
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2015 | 10.1137/130942218 | SIAM JOURNAL ON NUMERICAL ANALYSIS |
Keywords | Field | DocType |
error correction method,backward semi-Lagrangian method,temporal discretization,self-consistency,guiding center problem | Discretization,Semi-Lagrangian scheme,Mathematical optimization,Temporal discretization,Spline interpolation,Poisson's equation,Mathematical analysis,Linear differential equation,Backward Euler method,Gaussian quadrature,Mathematics | Journal |
Volume | Issue | ISSN |
53 | 1 | 0036-1429 |
Citations | PageRank | References |
3 | 0.41 | 6 |
Authors | ||
5 |
Name | Order | Citations | PageRank |
---|---|---|---|
Xiangfan Piao | 1 | 19 | 4.19 |
Sang Dong Kim | 2 | 35 | 9.22 |
Philsu Kim | 3 | 29 | 8.78 |
Jae-Min Kwon | 4 | 3 | 0.41 |
Dokkyun Yi | 5 | 20 | 2.50 |