High-Order Multivariate Spectral Algorithms for High-Dimensional Nonlinear Weakly Singular Integral Equations with Delay
One of the open problems in the numerical analysis of solutions to high-dimensional nonlinear integral equations with memory kernel and proportional delay is how to preserve the high-order accuracy for nonsmooth solutions. It is well-known that the solutions to these equations display a typical weak...
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MDPI AG
2022-08-01
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| Series: | Mathematics |
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| Online Access: | https://www.mdpi.com/2227-7390/10/17/3065 |
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| author | Ahmed Z. Amin Mahmoud A. Zaky Ahmed S. Hendy Ishak Hashim Ahmed Aldraiweesh |
| author_facet | Ahmed Z. Amin Mahmoud A. Zaky Ahmed S. Hendy Ishak Hashim Ahmed Aldraiweesh |
| author_sort | Ahmed Z. Amin |
| collection | DOAJ |
| description | One of the open problems in the numerical analysis of solutions to high-dimensional nonlinear integral equations with memory kernel and proportional delay is how to preserve the high-order accuracy for nonsmooth solutions. It is well-known that the solutions to these equations display a typical weak singularity at the initial time, which causes challenges in developing high-order and efficient numerical algorithms. The key idea of the proposed approach is to adopt a smoothing transformation for the multivariate spectral collocation method to circumvent the curse of singularity at the beginning of time. Therefore, the singularity of the approximate solution can be tailored to that of the exact one, resulting in high-order spectral collocation algorithms. Moreover, we provide a framework for studying the rate of convergence of the proposed algorithm. Finally, we give a numerical test example to show that the approach can preserve the nonsmooth solution to the underlying problems. |
| first_indexed | 2024-03-10T01:33:51Z |
| format | Article |
| id | doaj.art-b663f04d8fac4abd95179baf85e0375f |
| institution | Directory Open Access Journal |
| issn | 2227-7390 |
| language | English |
| last_indexed | 2024-03-10T01:33:51Z |
| publishDate | 2022-08-01 |
| publisher | MDPI AG |
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| series | Mathematics |
| spelling | doaj.art-b663f04d8fac4abd95179baf85e0375f2023-11-23T13:37:45ZengMDPI AGMathematics2227-73902022-08-011017306510.3390/math10173065High-Order Multivariate Spectral Algorithms for High-Dimensional Nonlinear Weakly Singular Integral Equations with DelayAhmed Z. Amin0Mahmoud A. Zaky1Ahmed S. Hendy2Ishak Hashim3Ahmed Aldraiweesh4Department of Mathematical Sciences, Faculty of Science & Technology, University Kebangsaan Malaysia, Bangi 43600, Selangor, MalaysiaDepartment of Applied Mathematics, National Research Centre, Cairo 12622, EgyptDepartment of Computational Mathematics and Computer Science, Institute of Natural Sciences and Mathematics, Ural Federal University, 19 Mira St., Yekaterinburg 620002, RussiaDepartment of Mathematical Sciences, Faculty of Science & Technology, University Kebangsaan Malaysia, Bangi 43600, Selangor, MalaysiaEducational Technology Department, College of Education, King Saud University, Riyadh 11451, Saudi ArabiaOne of the open problems in the numerical analysis of solutions to high-dimensional nonlinear integral equations with memory kernel and proportional delay is how to preserve the high-order accuracy for nonsmooth solutions. It is well-known that the solutions to these equations display a typical weak singularity at the initial time, which causes challenges in developing high-order and efficient numerical algorithms. The key idea of the proposed approach is to adopt a smoothing transformation for the multivariate spectral collocation method to circumvent the curse of singularity at the beginning of time. Therefore, the singularity of the approximate solution can be tailored to that of the exact one, resulting in high-order spectral collocation algorithms. Moreover, we provide a framework for studying the rate of convergence of the proposed algorithm. Finally, we give a numerical test example to show that the approach can preserve the nonsmooth solution to the underlying problems.https://www.mdpi.com/2227-7390/10/17/3065spectral algorithmmultidimensional integral equationsmemory kernelsnonsmooth solution |
| spellingShingle | Ahmed Z. Amin Mahmoud A. Zaky Ahmed S. Hendy Ishak Hashim Ahmed Aldraiweesh High-Order Multivariate Spectral Algorithms for High-Dimensional Nonlinear Weakly Singular Integral Equations with Delay Mathematics spectral algorithm multidimensional integral equations memory kernels nonsmooth solution |
| title | High-Order Multivariate Spectral Algorithms for High-Dimensional Nonlinear Weakly Singular Integral Equations with Delay |
| title_full | High-Order Multivariate Spectral Algorithms for High-Dimensional Nonlinear Weakly Singular Integral Equations with Delay |
| title_fullStr | High-Order Multivariate Spectral Algorithms for High-Dimensional Nonlinear Weakly Singular Integral Equations with Delay |
| title_full_unstemmed | High-Order Multivariate Spectral Algorithms for High-Dimensional Nonlinear Weakly Singular Integral Equations with Delay |
| title_short | High-Order Multivariate Spectral Algorithms for High-Dimensional Nonlinear Weakly Singular Integral Equations with Delay |
| title_sort | high order multivariate spectral algorithms for high dimensional nonlinear weakly singular integral equations with delay |
| topic | spectral algorithm multidimensional integral equations memory kernels nonsmooth solution |
| url | https://www.mdpi.com/2227-7390/10/17/3065 |
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