具有可变系数的高阶线性弗雷德霍尔积分微分方程的重现核希尔伯特空间法

IF 3.5 2区 数学 Q1 MATHEMATICS, APPLIED
Renjun Qiu, Ming Xu, Pengfei Zhu
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引用次数: 0

摘要

本研究引入了一种新颖的重现核希尔伯特空间(RKHS)方法,以证明具有可变系数的高阶线性弗雷德霍姆积分微分方程(IDE)可以转化为常微分方程(ODE)。基于 H-HK 公式,RKHS 方法构建了与给定项相关的多种类型的 RKHS,并利用这些 RKHS 确定弗雷德霍姆 IDE 的解。然后,通过算法求得具有可变系数的弗雷德霍姆 IDE 的解析解和数值解。最后,通过一些数值结果和比较,证明了 RKHS 方法的有效性和可行性,以证实我们的理论发现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Reproducing kernel Hilbert space method for high-order linear Fredholm integro-differential equations with variable coefficients
In this study, a novel reproducing kernel Hilbert space (RKHS) method is introduced to show that high-order linear Fredholm integro-differential equations (IDEs) with variable coefficients can be transformed into ordinary differential equation (ODEs). The RKHS method constructs multiple types of RKHSs related to the given terms based on the H-HK formulation, which are utilized to determine solutions of the Fredholm IDEs. Then analytical and numerical solutions of the Fredholm IDEs with variable coefficients are obtained by an algorithm. Finally, the effectiveness and feasibility of RKHS method have been provided to confirm our theoretical findings by some numerical results and comparisons.
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来源期刊
CiteScore
7.90
自引率
10.00%
发文量
755
审稿时长
36 days
期刊介绍: Applied Mathematics and Computation addresses work at the interface between applied mathematics, numerical computation, and applications of systems – oriented ideas to the physical, biological, social, and behavioral sciences, and emphasizes papers of a computational nature focusing on new algorithms, their analysis and numerical results. In addition to presenting research papers, Applied Mathematics and Computation publishes review articles and single–topics issues.
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