Spherical Designs for Approximations on Spherical Caps

IF 2.8 2区 数学 Q1 MATHEMATICS, APPLIED
Chao Li, Xiaojun Chen
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引用次数: 0

Abstract

SIAM Journal on Numerical Analysis, Volume 62, Issue 6, Page 2506-2528, December 2024.
Abstract. A spherical [math]-design is a set of points on the unit sphere, which provides an equal weight quadrature rule integrating exactly all spherical polynomials of degree at most [math] and has a sharp error bound for approximations on the sphere. This paper introduces a set of points called a spherical cap [math]-subdesign on a spherical cap [math] with center [math] and radius [math] induced by the spherical [math]-design. We show that the spherical cap [math]-subdesign provides an equal weight quadrature rule integrating exactly all zonal polynomials of degree at most [math] and all functions expanded by orthonormal functions on the spherical cap which are defined by shifted Legendre polynomials of degree at most [math]. We apply the spherical cap [math]-subdesign and the orthonormal basis functions on the spherical cap to non-polynomial approximation of continuous functions on the spherical cap and present theoretical approximation error bounds. We also apply spherical cap [math]-subdesigns to sparse signal recovery on the upper hemisphere, which is a spherical cap with [math]. Our theoretical and numerical results show that spherical cap [math]-subdesigns can provide a good approximation on spherical caps.
球形帽上的近似球形设计
SIAM 数值分析期刊》,第 62 卷第 6 期,第 2506-2528 页,2024 年 12 月。 摘要。球面[math]设计是单位球面上的一组点,它提供了一个等权正交规则,可以精确地积分最多[math]度的所有球面多项式,并且对球面上的近似值有一个尖锐的误差约束。本文介绍了在由球面[数学]设计诱导的、以[数学]为中心、以[数学]为半径的球面盖[数学]上的一组称为球面盖[数学]子设计的点。我们证明,球帽[math]子设计提供了一个等权正交规则,可以精确积分所有至多[math]度的带状多项式和球帽上所有由至多[math]度的移位 Legendre 多项式定义的正交函数展开的函数。我们将球面帽 [math] 子设计和球面帽上的正交基函数应用于球面帽上连续函数的非多项式逼近,并提出了理论逼近误差边界。我们还将球帽[math]子设计应用于上半球的稀疏信号恢复,上半球是一个带有[math]的球帽。我们的理论和数值结果表明,球帽[math]子设计可以很好地近似球帽。
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来源期刊
CiteScore
4.80
自引率
6.90%
发文量
110
审稿时长
4-8 weeks
期刊介绍: SIAM Journal on Numerical Analysis (SINUM) contains research articles on the development and analysis of numerical methods. Topics include the rigorous study of convergence of algorithms, their accuracy, their stability, and their computational complexity. Also included are results in mathematical analysis that contribute to algorithm analysis, and computational results that demonstrate algorithm behavior and applicability.
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