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Volume 17, Issue 4
Discontinuous Galerkin Methods for Auto-Convolution Volterra Integral Equations

Yuping Li, Hui Liang & Huifang Yuan

Adv. Appl. Math. Mech., 17 (2025), pp. 1111-1132.

Published online: 2025-05

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  • Abstract

The discontinuous Galerkin (DG) method is employed to solve the auto-convolution Volterra integral equations (AVIEs). The solvability of the DG method is discussed, then it is proved that the quadrature DG (QDG) method obtained from the DG method by approximating the inner products by suitable numerical quadrature formulas, is equivalent to the piecewise discontinuous polynomial collocation method. The uniform boundedness of the DG solution is provided by defining a discrete weighted exponential norm, and the optimal global convergence order of the DG solution is obtained. In order to improve the numerical accuracy, the iterated DG method is introduced. By virtue of a projection operator, the optimal $m+1$ superconvergence order of the iterated DG solution is gained, as well as $2m$ local superconvergence order at mesh points. It is noting that both the global and local superconvergence are obtained under the same regularity assumption as that for the convergence, other than the collocation method, one has to improve the regularity of the exact solution to obtain the superconvergence of the iterated collocation method. Some numerical experiments are given to illustrate the theoretical results.

  • AMS Subject Headings

65R20

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COPYRIGHT: © Global Science Press

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@Article{AAMM-17-1111, author = {Li , YupingLiang , Hui and Yuan , Huifang}, title = {Discontinuous Galerkin Methods for Auto-Convolution Volterra Integral Equations}, journal = {Advances in Applied Mathematics and Mechanics}, year = {2025}, volume = {17}, number = {4}, pages = {1111--1132}, abstract = {

The discontinuous Galerkin (DG) method is employed to solve the auto-convolution Volterra integral equations (AVIEs). The solvability of the DG method is discussed, then it is proved that the quadrature DG (QDG) method obtained from the DG method by approximating the inner products by suitable numerical quadrature formulas, is equivalent to the piecewise discontinuous polynomial collocation method. The uniform boundedness of the DG solution is provided by defining a discrete weighted exponential norm, and the optimal global convergence order of the DG solution is obtained. In order to improve the numerical accuracy, the iterated DG method is introduced. By virtue of a projection operator, the optimal $m+1$ superconvergence order of the iterated DG solution is gained, as well as $2m$ local superconvergence order at mesh points. It is noting that both the global and local superconvergence are obtained under the same regularity assumption as that for the convergence, other than the collocation method, one has to improve the regularity of the exact solution to obtain the superconvergence of the iterated collocation method. Some numerical experiments are given to illustrate the theoretical results.

}, issn = {2075-1354}, doi = {https://doi.org/10.4208/aamm.OA-2024-0008}, url = {http://global-sci.org/intro/article_detail/aamm/24056.html} }
TY - JOUR T1 - Discontinuous Galerkin Methods for Auto-Convolution Volterra Integral Equations AU - Li , Yuping AU - Liang , Hui AU - Yuan , Huifang JO - Advances in Applied Mathematics and Mechanics VL - 4 SP - 1111 EP - 1132 PY - 2025 DA - 2025/05 SN - 17 DO - http://doi.org/10.4208/aamm.OA-2024-0008 UR - https://global-sci.org/intro/article_detail/aamm/24056.html KW - Auto-convolution, Volterra integral equations, discontinuous Galerkin method, convergence, superconvergence. AB -

The discontinuous Galerkin (DG) method is employed to solve the auto-convolution Volterra integral equations (AVIEs). The solvability of the DG method is discussed, then it is proved that the quadrature DG (QDG) method obtained from the DG method by approximating the inner products by suitable numerical quadrature formulas, is equivalent to the piecewise discontinuous polynomial collocation method. The uniform boundedness of the DG solution is provided by defining a discrete weighted exponential norm, and the optimal global convergence order of the DG solution is obtained. In order to improve the numerical accuracy, the iterated DG method is introduced. By virtue of a projection operator, the optimal $m+1$ superconvergence order of the iterated DG solution is gained, as well as $2m$ local superconvergence order at mesh points. It is noting that both the global and local superconvergence are obtained under the same regularity assumption as that for the convergence, other than the collocation method, one has to improve the regularity of the exact solution to obtain the superconvergence of the iterated collocation method. Some numerical experiments are given to illustrate the theoretical results.

Li , YupingLiang , Hui and Yuan , Huifang. (2025). Discontinuous Galerkin Methods for Auto-Convolution Volterra Integral Equations. Advances in Applied Mathematics and Mechanics. 17 (4). 1111-1132. doi:10.4208/aamm.OA-2024-0008
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