High-Order Semi-Lagrangian WENO Schemes Based on Non-polynomial Space for the Vlasov Equation
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Christlieb, Andrew
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Michigan State Univ, Dept Computat Math Sci & Engn, E Lansing, MI 48824 USAMichigan State Univ, Dept Computat Math Sci & Engn, E Lansing, MI 48824 USA
Christlieb, Andrew
[1
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Link, Matthew
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Michigan State Univ, Dept Computat Math Sci & Engn, E Lansing, MI 48824 USAMichigan State Univ, Dept Computat Math Sci & Engn, E Lansing, MI 48824 USA
Link, Matthew
[1
]
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Yang, Hyoseon
[1
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Chang, Ruimeng
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Xian Jiaotong Liverpool Univ, Dept Math Sci, Suzhou 215123, Jiangsu, Peoples R ChinaMichigan State Univ, Dept Computat Math Sci & Engn, E Lansing, MI 48824 USA
Chang, Ruimeng
[2
]
机构:
[1] Michigan State Univ, Dept Computat Math Sci & Engn, E Lansing, MI 48824 USA
[2] Xian Jiaotong Liverpool Univ, Dept Math Sci, Suzhou 215123, Jiangsu, Peoples R China
In this paper, we present a semi-Lagrangian (SL) method based on a non-polynomial function space for solving the Vlasov equation. We find that a non-polynomial function based scheme is suitable to the specifics of the target problems. To address issues that arise in phase space models of plasma problems, we develop a weighted essentially non-oscillatory (WENO) scheme using trigonometric polynomials. In particular, the non-polynomial WENO method is able to achieve improved accuracy near sharp gradients or discontinuities. Moreover, to obtain a high-order of accuracy in not only space but also time, it is proposed to apply a high-order splitting scheme in time. We aim to introduce the entire SL algorithm with high-order splitting in time and high-order WENO reconstruction in space to solve the Vlasov-Poisson system. Some numerical experiments are presented to demonstrate robustness of the proposed method in having a high-order of convergence and in capturing non-smooth solutions. A key observation is that the method can capture phase structure that require twice the resolution with a polynomial based method. In 6D, this would represent a significant savings.
机构:
Xiamen Univ, Sch Math Sci, Xiamen 361005, Fujian, Peoples R ChinaXiamen Univ, Sch Math Sci, Xiamen 361005, Fujian, Peoples R China
Cai, Xiaofeng
Qiu, Jianxian
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Xiamen Univ, Sch Math Sci, Xiamen 361005, Fujian, Peoples R China
Xiamen Univ, Fujian Prov Key Lab Math Modeling & High Performa, Xiamen 361005, Fujian, Peoples R ChinaXiamen Univ, Sch Math Sci, Xiamen 361005, Fujian, Peoples R China
Qiu, Jianxian
Qiu, Jing-Mei
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Univ Houston, Dept Math, Houston, TX 77204 USAXiamen Univ, Sch Math Sci, Xiamen 361005, Fujian, Peoples R China
机构:
Xiamen Univ, Sch Math Sci, Xiamen 361005, Fujian, Peoples R ChinaXiamen Univ, Sch Math Sci, Xiamen 361005, Fujian, Peoples R China
Cai, Xiaofeng
Qiu, Jianxian
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机构:
Xiamen Univ, Sch Math Sci, Xiamen 361005, Fujian, Peoples R China
Xiamen Univ, Fujian Prov Key Lab Math Modeling & High Performa, Xiamen 361005, Fujian, Peoples R ChinaXiamen Univ, Sch Math Sci, Xiamen 361005, Fujian, Peoples R China
Qiu, Jianxian
Qiu, Jing-Mei
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机构:
Univ Houston, Dept Math, Houston, TX 77204 USAXiamen Univ, Sch Math Sci, Xiamen 361005, Fujian, Peoples R China