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Volume 14, Issue 2
Two-Grid Methods for Maxwell’s Equations in a Cole-Cole Dispersive Medium

Nuodi Liu, Yanping Chen & Yunqing Huang

East Asian J. Appl. Math., 14 (2024), pp. 371-396.

Published online: 2024-04

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  • Abstract

A two-grid method (TGM) for the time-dependent Maxwell’s equations in Cole-Cole dispersive media with a fractional time derivative term is proposed. We employ the lowest Raviart-Thomas-Nédélec mixed finite elements to discrete the space. It is known that for these type of Nédélec edge finite elements, the standard TGM cannot be applied directly. Therefore, we modified the traditional TGM, and the discrete process can be divided into two steps. Firstly, we get the rough discrete solutions on the coarse mesh. At the same time, superconvergence results can be obtained by using a post-processing technique. Secondly, the superconvergent solutions on the coarse grid are added on the fine mesh as a correction, and the optimal error estimates could be obtained accordingly. Finally, the numerical experiments can verify that the theoretical results are correct and reasonable.

  • AMS Subject Headings

35R11, 65N30, 78M10

  • Copyright

COPYRIGHT: © Global Science Press

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@Article{EAJAM-14-371, author = {Liu , NuodiChen , Yanping and Huang , Yunqing}, title = {Two-Grid Methods for Maxwell’s Equations in a Cole-Cole Dispersive Medium}, journal = {East Asian Journal on Applied Mathematics}, year = {2024}, volume = {14}, number = {2}, pages = {371--396}, abstract = {

A two-grid method (TGM) for the time-dependent Maxwell’s equations in Cole-Cole dispersive media with a fractional time derivative term is proposed. We employ the lowest Raviart-Thomas-Nédélec mixed finite elements to discrete the space. It is known that for these type of Nédélec edge finite elements, the standard TGM cannot be applied directly. Therefore, we modified the traditional TGM, and the discrete process can be divided into two steps. Firstly, we get the rough discrete solutions on the coarse mesh. At the same time, superconvergence results can be obtained by using a post-processing technique. Secondly, the superconvergent solutions on the coarse grid are added on the fine mesh as a correction, and the optimal error estimates could be obtained accordingly. Finally, the numerical experiments can verify that the theoretical results are correct and reasonable.

}, issn = {2079-7370}, doi = {https://doi.org/10.4208/eajam.2022-293.010923}, url = {http://global-sci.org/intro/article_detail/eajam/23067.html} }
TY - JOUR T1 - Two-Grid Methods for Maxwell’s Equations in a Cole-Cole Dispersive Medium AU - Liu , Nuodi AU - Chen , Yanping AU - Huang , Yunqing JO - East Asian Journal on Applied Mathematics VL - 2 SP - 371 EP - 396 PY - 2024 DA - 2024/04 SN - 14 DO - http://doi.org/10.4208/eajam.2022-293.010923 UR - https://global-sci.org/intro/article_detail/eajam/23067.html KW - Maxwell’s equations, two-grid method, Raviart-Thomas-Nédélec mixed finite elements, postprocessing technique. AB -

A two-grid method (TGM) for the time-dependent Maxwell’s equations in Cole-Cole dispersive media with a fractional time derivative term is proposed. We employ the lowest Raviart-Thomas-Nédélec mixed finite elements to discrete the space. It is known that for these type of Nédélec edge finite elements, the standard TGM cannot be applied directly. Therefore, we modified the traditional TGM, and the discrete process can be divided into two steps. Firstly, we get the rough discrete solutions on the coarse mesh. At the same time, superconvergence results can be obtained by using a post-processing technique. Secondly, the superconvergent solutions on the coarse grid are added on the fine mesh as a correction, and the optimal error estimates could be obtained accordingly. Finally, the numerical experiments can verify that the theoretical results are correct and reasonable.

Nuodi Liu, Yanping Chen & Yunqing Huang. (2024). Two-Grid Methods for Maxwell’s Equations in a Cole-Cole Dispersive Medium. East Asian Journal on Applied Mathematics. 14 (2). 371-396. doi:10.4208/eajam.2022-293.010923
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