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Exponentially fitted multisymplectic scheme for conservative Maxwell equations with oscillary solutions
Aiming at conservative Maxwell equations with periodic oscillatory solutions, we adopt exponentially fitted trapezoidal scheme to approximate the temporal and spatial derivatives. The scheme is a multisymplectic scheme. Under periodic boundary condition, the scheme satisfies two discrete energy cons...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396796/ https://www.ncbi.nlm.nih.gov/pubmed/34449783 http://dx.doi.org/10.1371/journal.pone.0256108 |
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author | Yin, Xiuling Liu, Yanqin Zhang, Jingjing Shen, Yanfeng Yan, Limei |
author_facet | Yin, Xiuling Liu, Yanqin Zhang, Jingjing Shen, Yanfeng Yan, Limei |
author_sort | Yin, Xiuling |
collection | PubMed |
description | Aiming at conservative Maxwell equations with periodic oscillatory solutions, we adopt exponentially fitted trapezoidal scheme to approximate the temporal and spatial derivatives. The scheme is a multisymplectic scheme. Under periodic boundary condition, the scheme satisfies two discrete energy conservation laws. The scheme also preserves two discrete divergences. To reduce computation cost, we split the original Maxwell equations into three local one-dimension (LOD) Maxwell equations. Then exponentially fitted trapezoidal scheme, applied to the resulted LOD equations, generates LOD multisymplectic scheme. We prove the unconditional stability and convergence of the LOD multisymplectic scheme. Convergence of numerical dispersion relation is also analyzed. At last, we present two numerical examples with periodic oscillatory solutions to confirm the theoretical analysis. Numerical results indicate that the LOD multisymplectic scheme is efficient, stable and conservative in solving conservative Maxwell equations with oscillatory solutions. In addition, to one-dimension Maxwell equations, we apply least square method and LOD multisymplectic scheme to fit the electric permittivity by using exact solution disturbed with small random errors as measured data. Numerical results of parameter inversion fit well with measured data, which shows that least square method combined with LOD multisymplectic scheme is efficient to estimate the model parameter under small random disturbance. |
format | Online Article Text |
id | pubmed-8396796 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-83967962021-08-28 Exponentially fitted multisymplectic scheme for conservative Maxwell equations with oscillary solutions Yin, Xiuling Liu, Yanqin Zhang, Jingjing Shen, Yanfeng Yan, Limei PLoS One Research Article Aiming at conservative Maxwell equations with periodic oscillatory solutions, we adopt exponentially fitted trapezoidal scheme to approximate the temporal and spatial derivatives. The scheme is a multisymplectic scheme. Under periodic boundary condition, the scheme satisfies two discrete energy conservation laws. The scheme also preserves two discrete divergences. To reduce computation cost, we split the original Maxwell equations into three local one-dimension (LOD) Maxwell equations. Then exponentially fitted trapezoidal scheme, applied to the resulted LOD equations, generates LOD multisymplectic scheme. We prove the unconditional stability and convergence of the LOD multisymplectic scheme. Convergence of numerical dispersion relation is also analyzed. At last, we present two numerical examples with periodic oscillatory solutions to confirm the theoretical analysis. Numerical results indicate that the LOD multisymplectic scheme is efficient, stable and conservative in solving conservative Maxwell equations with oscillatory solutions. In addition, to one-dimension Maxwell equations, we apply least square method and LOD multisymplectic scheme to fit the electric permittivity by using exact solution disturbed with small random errors as measured data. Numerical results of parameter inversion fit well with measured data, which shows that least square method combined with LOD multisymplectic scheme is efficient to estimate the model parameter under small random disturbance. Public Library of Science 2021-08-27 /pmc/articles/PMC8396796/ /pubmed/34449783 http://dx.doi.org/10.1371/journal.pone.0256108 Text en © 2021 Yin et al https://creativecommons.org/licenses/by/4.0/This is an open access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/) , which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Yin, Xiuling Liu, Yanqin Zhang, Jingjing Shen, Yanfeng Yan, Limei Exponentially fitted multisymplectic scheme for conservative Maxwell equations with oscillary solutions |
title | Exponentially fitted multisymplectic scheme for conservative Maxwell equations with oscillary solutions |
title_full | Exponentially fitted multisymplectic scheme for conservative Maxwell equations with oscillary solutions |
title_fullStr | Exponentially fitted multisymplectic scheme for conservative Maxwell equations with oscillary solutions |
title_full_unstemmed | Exponentially fitted multisymplectic scheme for conservative Maxwell equations with oscillary solutions |
title_short | Exponentially fitted multisymplectic scheme for conservative Maxwell equations with oscillary solutions |
title_sort | exponentially fitted multisymplectic scheme for conservative maxwell equations with oscillary solutions |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8396796/ https://www.ncbi.nlm.nih.gov/pubmed/34449783 http://dx.doi.org/10.1371/journal.pone.0256108 |
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