Analysis of a class of spectral volume methods for linear scalar hyperbolic conservation laws
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作者:
Lu, Jianfang
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South China Univ Technol, Sch Math, Guangzhou, Guangdong, Peoples R ChinaSouth China Univ Technol, Sch Math, Guangzhou, Guangdong, Peoples R China
Lu, Jianfang
[1
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Jiang, Yan
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Univ Sci & Technol China, Sch Math Sci, Hefei 230026, Anhui, Peoples R ChinaSouth China Univ Technol, Sch Math, Guangzhou, Guangdong, Peoples R China
Jiang, Yan
[2
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Shu, Chi-Wang
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Brown Univ, Div Appl Math, Providence, RI 02912 USASouth China Univ Technol, Sch Math, Guangzhou, Guangdong, Peoples R China
Shu, Chi-Wang
[3
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Zhang, Mengping
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Univ Sci & Technol China, Sch Math Sci, Hefei 230026, Anhui, Peoples R ChinaSouth China Univ Technol, Sch Math, Guangzhou, Guangdong, Peoples R China
Zhang, Mengping
[2
]
机构:
[1] South China Univ Technol, Sch Math, Guangzhou, Guangdong, Peoples R China
[2] Univ Sci & Technol China, Sch Math Sci, Hefei 230026, Anhui, Peoples R China
[3] Brown Univ, Div Appl Math, Providence, RI 02912 USA
In this article, we study the spectral volume (SV) methods for scalar hyperbolic conservation laws with a class of subdivision points under the Petrov-Galerkin framework. Due to the strong connection between the DG method and the SV method with the appropriate choice of the subdivision points, it is natural to analyze the SV method in the Galerkin form and derive the analogous theoretical results as in the DG method. This article considers a class of SV methods, whose subdivision points are the zeros of a specific polynomial with a parameter in it. Properties of the piecewise constant functions under this subdivision, including the orthogonality between the trial solution space and test function space, are provided. With the aid of these properties, we are able to derive the energy stability, optimal a priori error estimates of SV methods with arbitrary high order accuracy. We also study the superconvergence of the numerical solution with the correction function technique, and show the order of superconvergence would be different with different choices of the subdivision points. In the numerical experiments, by choosing different parameters in the SV method, the theoretical findings are confirmed by the numerical results.
机构:
Xiamen Univ, Sch Math Sci, Xiamen 361005, Fujian, Peoples R ChinaXiamen Univ, Sch Math Sci, Xiamen 361005, Fujian, Peoples R China
Zhao, Zhuang
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
机构:
China Aerodynam Res & Dev Ctr, Mianyang 621000, Sichuan, Peoples R China
State Key Lab Aerodynam, Mianyang 621000, Sichuan, Peoples R ChinaChina Aerodynam Res & Dev Ctr, Mianyang 621000, Sichuan, Peoples R China
Zhang Laiping
Liu Wei
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机构:
China Aerodynam Res & Dev Ctr, Mianyang 621000, Sichuan, Peoples R China
State Key Lab Aerodynam, Mianyang 621000, Sichuan, Peoples R ChinaChina Aerodynam Res & Dev Ctr, Mianyang 621000, Sichuan, Peoples R China
Liu Wei
He Lixin
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机构:
China Aerodynam Res & Dev Ctr, Mianyang 621000, Sichuan, Peoples R ChinaChina Aerodynam Res & Dev Ctr, Mianyang 621000, Sichuan, Peoples R China
He Lixin
Deng Xiaogang
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China Aerodynam Res & Dev Ctr, Mianyang 621000, Sichuan, Peoples R China
State Key Lab Aerodynam, Mianyang 621000, Sichuan, Peoples R ChinaChina Aerodynam Res & Dev Ctr, Mianyang 621000, Sichuan, Peoples R China
Deng Xiaogang
Zhang Hanxin
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China Aerodynam Res & Dev Ctr, Mianyang 621000, Sichuan, Peoples R ChinaChina Aerodynam Res & Dev Ctr, Mianyang 621000, Sichuan, Peoples R China