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...

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Autores principales: Xiuling Yin, Yanqin Liu, Jingjing Zhang, Yanfeng Shen, Limei Yan
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Publicado: Public Library of Science (PLoS) 2021
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spelling oai:doaj.org-article:4379092b710d4cc69d720f677a7976482021-12-02T20:17:31ZExponentially fitted multisymplectic scheme for conservative Maxwell equations with oscillary solutions.1932-620310.1371/journal.pone.0256108https://doaj.org/article/4379092b710d4cc69d720f677a7976482021-01-01T00:00:00Zhttps://doi.org/10.1371/journal.pone.0256108https://doaj.org/toc/1932-6203Aiming 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.Xiuling YinYanqin LiuJingjing ZhangYanfeng ShenLimei YanPublic Library of Science (PLoS)articleMedicineRScienceQENPLoS ONE, Vol 16, Iss 8, p e0256108 (2021)
institution DOAJ
collection DOAJ
language EN
topic Medicine
R
Science
Q
spellingShingle Medicine
R
Science
Q
Xiuling Yin
Yanqin Liu
Jingjing Zhang
Yanfeng Shen
Limei Yan
Exponentially fitted multisymplectic scheme for conservative Maxwell equations with oscillary solutions.
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 article
author Xiuling Yin
Yanqin Liu
Jingjing Zhang
Yanfeng Shen
Limei Yan
author_facet Xiuling Yin
Yanqin Liu
Jingjing Zhang
Yanfeng Shen
Limei Yan
author_sort Xiuling Yin
title 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_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_sort exponentially fitted multisymplectic scheme for conservative maxwell equations with oscillary solutions.
publisher Public Library of Science (PLoS)
publishDate 2021
url https://doaj.org/article/4379092b710d4cc69d720f677a797648
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AT jingjingzhang exponentiallyfittedmultisymplecticschemeforconservativemaxwellequationswithoscillarysolutions
AT yanfengshen exponentiallyfittedmultisymplecticschemeforconservativemaxwellequationswithoscillarysolutions
AT limeiyan exponentiallyfittedmultisymplecticschemeforconservativemaxwellequationswithoscillarysolutions
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