Piecewise polynomial numerical method for Volterra integral equations of the fourth-kind with constant delay

IF 0.7 4区 数学 Q2 MATHEMATICS Hacettepe Journal of Mathematics and Statistics Pub Date : 2023-01-01 DOI:10.15672/hujms.1055681
P. Darania, S. Pishbin
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引用次数: 0

Abstract

This work studies the fourth-kind integral equation as a mixed system of first and second-kind Volterra integral equations(VIEs) with constant delay. Regularity, smoothing properties and uniqueness of the solution of this mixed system are obtaied by using theorems which give the relevant conditions related to first and second-kind VIEs with delays. This work studies the fourth-kind integral equation as a mixed system of first and second-kind Volterra integral equations(VIEs) with constant delay. Regularity, smoothing properties and uniqueness of the solution of this mixed system are obtaied by using theorems which give the relevant conditions related to first and second-kind VIEs with delays. A numerical collocation algorithm on the basis of the piecewise polynomial is designed and global convergence of the proposed numerical method is established. Some typical numerical experiments are also performed which confirm our theoretical result. A numerical collocation algorithm on the basis of the piecewise polynomial is designed and global convergence of the proposed numerical method is established. Some typical numerical experiments are also performed which confirm our theoretical result.
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第四类常时滞Volterra积分方程的分段多项式数值解法
将第四类积分方程作为一类常时滞Volterra积分方程和二类Volterra积分方程的混合系统进行研究。利用给出一类和二类时滞vie的相关条件的定理,得到了该混合系统解的正则性、平滑性和唯一性。将第四类积分方程作为一类常时滞Volterra积分方程和二类Volterra积分方程的混合系统进行研究。利用给出一类和二类时滞vie的相关条件的定理,得到了该混合系统解的正则性、平滑性和唯一性。设计了一种基于分段多项式的数值配置算法,并证明了该数值方法的全局收敛性。一些典型的数值实验也证实了我们的理论结果。设计了一种基于分段多项式的数值配置算法,并证明了该数值方法的全局收敛性。一些典型的数值实验也证实了我们的理论结果。
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来源期刊
CiteScore
1.70
自引率
0.00%
发文量
100
审稿时长
6-12 weeks
期刊介绍: Hacettepe Journal of Mathematics and Statistics covers all aspects of Mathematics and Statistics. Papers on the interface between Mathematics and Statistics are particularly welcome, including applications to Physics, Actuarial Sciences, Finance and Economics. We strongly encourage submissions for Statistics Section including current and important real world examples across a wide range of disciplines. Papers have innovations of statistical methodology are highly welcome. Purely theoretical papers may be considered only if they include popular real world applications.
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