Finite volume method for solving the stochastic Helmholtz equation
Abstract In this paper, we consider the linear finite volume method (FVM) for the stochastic Helmholtz equation, driven by white noise perturbed forcing terms in one-dimension. We first deduce the linear FVM for the deterministic Helmholtz problem. The dispersion equation is presented, and the error...
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Online Access: | http://link.springer.com/article/10.1186/s13662-019-2011-x |
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doaj-41b890c3f1464937a85858901766bb4f2020-11-25T03:35:37ZengSpringerOpenAdvances in Difference Equations1687-18472019-03-012019112610.1186/s13662-019-2011-xFinite volume method for solving the stochastic Helmholtz equationRuimin Xu0Tingting Wu1School of Mathematics and Statistics, Qilu University of Technology (Shandong Academy of Sciences)School of Mathematics and Statistics, Shandong Normal UniversityAbstract In this paper, we consider the linear finite volume method (FVM) for the stochastic Helmholtz equation, driven by white noise perturbed forcing terms in one-dimension. We first deduce the linear FVM for the deterministic Helmholtz problem. The dispersion equation is presented, and the error between the numerical wavenumber and the exact wavenumber is then analyzed. Comparisons between the linear FVM and the linear finite element method (FEM) are also made. The theoretical analysis and practical calculation indicate that the error of the linear FVM is half of that of the linear FEM. For the stochastic Helmholtz equation, convergence analysis and error estimates are given for the numerical solutions. The effects of the noises on the accuracy of the approximations are illustrated. Numerical experiments are provided to examine our theoretical results.http://link.springer.com/article/10.1186/s13662-019-2011-xStochastic Helmholtz equationWhite noiseFinite volume method |
collection |
DOAJ |
language |
English |
format |
Article |
sources |
DOAJ |
author |
Ruimin Xu Tingting Wu |
spellingShingle |
Ruimin Xu Tingting Wu Finite volume method for solving the stochastic Helmholtz equation Advances in Difference Equations Stochastic Helmholtz equation White noise Finite volume method |
author_facet |
Ruimin Xu Tingting Wu |
author_sort |
Ruimin Xu |
title |
Finite volume method for solving the stochastic Helmholtz equation |
title_short |
Finite volume method for solving the stochastic Helmholtz equation |
title_full |
Finite volume method for solving the stochastic Helmholtz equation |
title_fullStr |
Finite volume method for solving the stochastic Helmholtz equation |
title_full_unstemmed |
Finite volume method for solving the stochastic Helmholtz equation |
title_sort |
finite volume method for solving the stochastic helmholtz equation |
publisher |
SpringerOpen |
series |
Advances in Difference Equations |
issn |
1687-1847 |
publishDate |
2019-03-01 |
description |
Abstract In this paper, we consider the linear finite volume method (FVM) for the stochastic Helmholtz equation, driven by white noise perturbed forcing terms in one-dimension. We first deduce the linear FVM for the deterministic Helmholtz problem. The dispersion equation is presented, and the error between the numerical wavenumber and the exact wavenumber is then analyzed. Comparisons between the linear FVM and the linear finite element method (FEM) are also made. The theoretical analysis and practical calculation indicate that the error of the linear FVM is half of that of the linear FEM. For the stochastic Helmholtz equation, convergence analysis and error estimates are given for the numerical solutions. The effects of the noises on the accuracy of the approximations are illustrated. Numerical experiments are provided to examine our theoretical results. |
topic |
Stochastic Helmholtz equation White noise Finite volume method |
url |
http://link.springer.com/article/10.1186/s13662-019-2011-x |
work_keys_str_mv |
AT ruiminxu finitevolumemethodforsolvingthestochastichelmholtzequation AT tingtingwu finitevolumemethodforsolvingthestochastichelmholtzequation |
_version_ |
1724553384928739328 |