Estimates for coefficients in Jacobi series for functions with limited regularity by fractional calculus

IF 2.1 3区 数学 Q2 MATHEMATICS, APPLIED Advances in Computational Mathematics Pub Date : 2024-07-08 DOI:10.1007/s10444-024-10159-y
Guidong Liu, Wenjie Liu, Beiping Duan
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Abstract

In this paper, optimal estimates on the decaying rates of Jacobi expansion coefficients are obtained by fractional calculus for functions with algebraic and logarithmic singularities. This is inspired by the fact that integer-order derivatives fail to deal with singularity of fractional-type, while fractional calculus can. To this end, we first introduce new fractional Sobolev spaces defined as the range of the \(L^p\)-space under the Riemann-Liouville fractional integral. The connection between these new spaces and classical fractional-order Sobolev spaces is then elucidated. Under this framework, the optimal decaying rate of Jacobi expansion coefficients is obtained, based on which the projection errors under different norms are given. This work is expected to introduce fractional calculus into traditional fields in approximation theory and to explore the possibility in solving classical problems by this ‘new’ tool.

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用分数微积分估算有限正则函数的雅可比数列系数
本文通过分数微积分获得了具有代数奇点和对数奇点的函数的雅可比膨胀系数衰减率的最优估计值。这是因为整阶导数无法处理分数型奇异性,而分数微积分却可以。为此,我们首先引入了新的分数 Sobolev 空间,将其定义为黎曼-刘维尔分数积分下的\(L^p\)空间范围。然后阐明这些新空间与经典分数阶 Sobolev 空间之间的联系。在此框架下,得到了雅可比膨胀系数的最优衰减率,并在此基础上给出了不同规范下的投影误差。这项工作有望将分数微积分引入近似理论的传统领域,并探索用这一 "新 "工具解决经典问题的可能性。
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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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