Müntz Legendre polynomials: Approximation properties and applications

IF 2.2 2区 数学 Q1 MATHEMATICS, APPLIED
Tengteng Cui, Chuanju Xu
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引用次数: 0

Abstract

The Müntz Legendre polynomials are a family of generalized orthogonal polynomials, defined by contour integral associated with a complex sequence Λ = { λ 0 , λ 1 , λ 2 , } \Lambda =\{\lambda _{0},\lambda _{1},\lambda _{2},\cdots \} . In this paper, we are interested in two subclasses of the Müntz Legendre polynomials. Precisely, we theoretically and numerically investigate the basic approximation properties of the Müntz Legendre polynomials for two sets of Λ \Lambda sequences: λ k = λ \lambda _{k}=\lambda , and λ k = k λ + q \lambda _k=k\lambda +q for some λ \lambda and q q . First, the projection and interpolation errors are analyzed and numerically tested for each of the two subclasses of polynomials, and some error estimates are derived for functions in non-uniformly weighted Sobolev spaces. Then, in order to demonstrate the applicability of the Müntz polynomials, a Galerkin spectral method based on the Müntz Legendre polynomials is proposed to solve the time-space fractional differential equation. The obtained numerical results show that the proposed method leads to an exponential convergence rate even if the exact solutions are not smooth. This is opposed to low order algebraic convergence if traditional orthogonal polynomials are used.

Müntz Legendre 多项式:逼近特性与应用
Müntz Legendre 多项式是广义正交多项式族,由与复序列Λ = { λ 0 , λ 1 , λ 2 , ⋯ } 相关的等高线积分定义。 \Lambda =\{lambda _{0},\lambda _{1},\lambda _{2},\cdots \} 。在本文中,我们对 Müntz Legendre 多项式的两个子类感兴趣。确切地说,我们从理论和数值上研究了两组Λ \Lambda 序列的 Müntz Legendre 多项式的基本近似性质:λ k = λ \lambda _{k}= \lambda ,以及 λ k = k λ + q \lambda _k=k\lambda +q ,对于某个 λ \lambda 和 q q。首先,对两个多项式子类的投影和插值误差进行了分析和数值检验,并得出了非均匀加权 Sobolev 空间中函数的一些误差估计值。然后,为了证明 Müntz 多项式的适用性,提出了一种基于 Müntz Legendre 多项式的 Galerkin 频谱方法来求解时空分微分方程。所获得的数值结果表明,即使精确解不是平滑的,所提出的方法也能带来指数级的收敛率。这与使用传统正交多项式的低阶代数收敛相反。
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来源期刊
Mathematics of Computation
Mathematics of Computation 数学-应用数学
CiteScore
3.90
自引率
5.00%
发文量
55
审稿时长
7.0 months
期刊介绍: All articles submitted to this journal are peer-reviewed. The AMS has a single blind peer-review process in which the reviewers know who the authors of the manuscript are, but the authors do not have access to the information on who the peer reviewers are. This journal is devoted to research articles of the highest quality in computational mathematics. Areas covered include numerical analysis, computational discrete mathematics, including number theory, algebra and combinatorics, and related fields such as stochastic numerical methods. Articles must be of significant computational interest and contain original and substantial mathematical analysis or development of computational methodology.
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