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...

Full description

Bibliographic Details
Main Authors: Ruimin Xu, Tingting Wu
Format: Article
Language:English
Published: SpringerOpen 2019-03-01
Series:Advances in Difference Equations
Subjects:
Online Access:http://link.springer.com/article/10.1186/s13662-019-2011-x
id doaj-41b890c3f1464937a85858901766bb4f
record_format Article
spelling 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