通过简约积分的渐近分析论高振荡贝塞尔函数的正交性

IF 2.6 2区 数学 Q1 MATHEMATICS, APPLIED Journal of Computational and Applied Mathematics Pub Date : 2025-03-01 Epub Date: 2024-08-28 DOI:10.1016/j.cam.2024.116239
Yongxiong Zhou, Ruyun Chen
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引用次数: 0

摘要

本文探讨了评估高振荡贝塞尔积分的两种方法。首先,分析了基于拉普拉斯变换的多项式作为高振荡贝塞尔函数简约积分的有效近似值,其误差随着频率的增加而迅速减小。此外,f 和高振荡贝塞尔函数的内积可以用另外两种形式的内积来近似,一种取决于多项式和 f 的高阶导数,另一种取决于贝塞尔函数和 f 的插值多项式。此外,还讨论了与高振荡贝塞尔积分有关的三个问题:Filon 型方法收敛率的不等式、Cauchy 主值的求值和无限区间上的简化求值。通过一些初步的数值实验,我们的理论分析得到了初步证实,所提出的数值方法准确有效。
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On quadrature of highly oscillatory Bessel function via asymptotic analysis of simplex integrals

In this article, two methods for evaluating highly oscillatory Bessel integrals are explored. Firstly, a polynomial is analyzed as an effective approximation of the simplex integral of a highly oscillatory Bessel function based on Laplace transform, and its error rapidly decreases as the frequency increases. Furthermore, the inner product of f and highly oscillatory Bessel function can be approximated by two other forms of inner product by which one depends on a polynomial and the higher derivatives of f, another depends on Bessel function and the interpolation polynomial of f. In addition, three issues related to highly oscillatory Bessel integrals have also been discussed: inequalities for the convergence rate of Filon-type methods, evaluation of Cauchy principal values, and simplified evaluation on infinite intervals. Through some preliminary numerical experiments, our theoretical analysis has been preliminarily confirmed, and the proposed numerical method is accurate and effective.

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来源期刊
CiteScore
5.40
自引率
4.20%
发文量
437
审稿时长
3.0 months
期刊介绍: The Journal of Computational and Applied Mathematics publishes original papers of high scientific value in all areas of computational and applied mathematics. The main interest of the Journal is in papers that describe and analyze new computational techniques for solving scientific or engineering problems. Also the improved analysis, including the effectiveness and applicability, of existing methods and algorithms is of importance. The computational efficiency (e.g. the convergence, stability, accuracy, ...) should be proved and illustrated by nontrivial numerical examples. Papers describing only variants of existing methods, without adding significant new computational properties are not of interest. The audience consists of: applied mathematicians, numerical analysts, computational scientists and engineers.
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