论三角形和四面体谱有限元的精确数值积分

IF 1.7 3区 数学 Q2 MATHEMATICS, APPLIED Advances in Computational Mathematics Pub Date : 2024-07-03 DOI:10.1007/s10444-024-10173-0
Ziqing Xie, Shangyou Zhang
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引用次数: 0

摘要

在三角/四面体谱有限元中,我们应用双线性/三线性变换将参考正方体/立方体映射为三角/四面体,从而将参考元素上的(\varvec{Q_k}\)多项式空间映射为三角/四面体上的有理/代数函数有限元空间。我们证明,即使在这种奇异的参照映射下,得到的有限元空间也能保持最优阶近似的特性。此外,我们还证明了标准的高斯-列根数值积分可以提供足够的精度,从而使有限元求解以最优阶收敛。特别是,采用奇异映射和数值积分的有限元方法保留了 \(\varvec{P_k}\)多项式。也就是说,如果真解是\(\varvec{P_k}\)多项式,那么\(\varvec{Q_k}\)有限元解就是精确的。提供的数值检验验证了所有理论结论。
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On an accurate numerical integration for the triangular and tetrahedral spectral finite elements

In the triangular/tetrahedral spectral finite elements, we apply a bilinear/trilinear transformation to map a reference square/cube to a triangle/tetrahedron, which consequently maps the \(\varvec{Q_k}\) polynomial space on the reference element to a finite element space of rational/algebraic functions on the triangle/tetrahedron. We prove that the resulting finite element space, even under this singular referencing mapping, can retain the property of optimal-order approximation. In addition, we prove that the standard Gauss-Legendre numerical integration would provide sufficient accuracy so that the finite element solutions converge at the optimal order. In particular, the finite element method, with singular mappings and numerical integration, preserves \(\varvec{P_k}\) polynomials. That is, the \(\varvec{Q_k}\) finite element solution is exact if the true solution is a \(\varvec{P_k}\) polynomial. Numerical tests are provided, verifying all theoretic findings.

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来源期刊
CiteScore
3.00
自引率
5.90%
发文量
68
审稿时长
3 months
期刊介绍: Advances in Computational Mathematics publishes high quality, accessible and original articles at the forefront of computational and applied mathematics, with a clear potential for impact across the sciences. The journal emphasizes three core areas: approximation theory and computational geometry; numerical analysis, modelling and simulation; imaging, signal processing and data analysis. This journal welcomes papers that are accessible to a broad audience in the mathematical sciences and that show either an advance in computational methodology or a novel scientific application area, or both. Methods papers should rely on rigorous analysis and/or convincing numerical studies.
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