线性标量双曲守恒定律的一类谱量法分析

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS ACS Applied Bio Materials Pub Date : 2024-06-28 DOI:10.1002/num.23126
Jianfang Lu, Yan Jiang, Chi‐Wang Shu, Mengping Zhang
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引用次数: 0

摘要

本文在 Petrov-Galerkin 框架下研究了具有一类细分点的标量双曲守恒定律的谱体积 (SV) 方法。由于 DG 方法与 SV 方法在细分点的适当选择上存在紧密联系,因此很自然地可以用 Galerkin 形式分析 SV 方法,并推导出与 DG 方法类似的理论结果。本文研究了一类 SV 方法,其细分点是特定多项式的零点,其中包含一个参数。本文提供了这种细分下的片常数函数的性质,包括试解空间和测试函数空间之间的正交性。借助这些性质,我们能够推导出 SV 方法的能量稳定性、最优先验误差估计值以及任意高阶精度。我们还利用修正函数技术研究了数值解的超收敛性,并证明了细分点的不同选择会产生不同的超收敛阶次。在数值实验中,通过在 SV 方法中选择不同的参数,数值结果证实了理论结论。
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Analysis of a class of spectral volume methods for linear scalar hyperbolic conservation laws
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.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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