A highly efficient spectral-Galerkin method based on tensor product for fourth-order Steklov equation with boundary eigenvalue
Abstract In this study, a highly efficient spectral-Galerkin method is posed for the fourth-order Steklov equation with boundary eigenvalue. By making use of the spectral theory of compact operators and the error formulas of projective operators, we first obtain the error estimates of approximative...
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doaj-2ccdca24d1dc4fccb526038fb93121972020-11-25T00:04:16ZengSpringerOpenJournal of Inequalities and Applications1029-242X2016-09-012016111210.1186/s13660-016-1158-1A highly efficient spectral-Galerkin method based on tensor product for fourth-order Steklov equation with boundary eigenvalueJing An0Hai Bi1Zhendong Luo2School of Mathematical Science, Guizhou Normal UniversitySchool of Mathematical Science, Guizhou Normal UniversitySchool of Mathematics and Physics, North China Electric Power UniversityAbstract In this study, a highly efficient spectral-Galerkin method is posed for the fourth-order Steklov equation with boundary eigenvalue. By making use of the spectral theory of compact operators and the error formulas of projective operators, we first obtain the error estimates of approximative eigenvalues and eigenfunctions. Then we build a suitable set of basis functions included in H 0 1 ( Ω ) ∩ H 2 ( Ω ) $H^{1}_{0}(\Omega)\cap H^{2}(\Omega)$ and establish the matrix model for the discrete spectral-Galerkin scheme by adopting the tensor product. Finally, we use some numerical experiments to verify the correctness of the theoretical results.http://link.springer.com/article/10.1186/s13660-016-1158-1fourth-order Steklov equation with boundary eigenvaluespectral-Galerkin methoderror estimatestensor product |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Jing An Hai Bi Zhendong Luo |
spellingShingle |
Jing An Hai Bi Zhendong Luo A highly efficient spectral-Galerkin method based on tensor product for fourth-order Steklov equation with boundary eigenvalue Journal of Inequalities and Applications fourth-order Steklov equation with boundary eigenvalue spectral-Galerkin method error estimates tensor product |
author_facet |
Jing An Hai Bi Zhendong Luo |
author_sort |
Jing An |
title |
A highly efficient spectral-Galerkin method based on tensor product for fourth-order Steklov equation with boundary eigenvalue |
title_short |
A highly efficient spectral-Galerkin method based on tensor product for fourth-order Steklov equation with boundary eigenvalue |
title_full |
A highly efficient spectral-Galerkin method based on tensor product for fourth-order Steklov equation with boundary eigenvalue |
title_fullStr |
A highly efficient spectral-Galerkin method based on tensor product for fourth-order Steklov equation with boundary eigenvalue |
title_full_unstemmed |
A highly efficient spectral-Galerkin method based on tensor product for fourth-order Steklov equation with boundary eigenvalue |
title_sort |
highly efficient spectral-galerkin method based on tensor product for fourth-order steklov equation with boundary eigenvalue |
publisher |
SpringerOpen |
series |
Journal of Inequalities and Applications |
issn |
1029-242X |
publishDate |
2016-09-01 |
description |
Abstract In this study, a highly efficient spectral-Galerkin method is posed for the fourth-order Steklov equation with boundary eigenvalue. By making use of the spectral theory of compact operators and the error formulas of projective operators, we first obtain the error estimates of approximative eigenvalues and eigenfunctions. Then we build a suitable set of basis functions included in H 0 1 ( Ω ) ∩ H 2 ( Ω ) $H^{1}_{0}(\Omega)\cap H^{2}(\Omega)$ and establish the matrix model for the discrete spectral-Galerkin scheme by adopting the tensor product. Finally, we use some numerical experiments to verify the correctness of the theoretical results. |
topic |
fourth-order Steklov equation with boundary eigenvalue spectral-Galerkin method error estimates tensor product |
url |
http://link.springer.com/article/10.1186/s13660-016-1158-1 |
work_keys_str_mv |
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1725430302480793600 |