Error estimates of finite volume method for Stokes optimal control problem

Abstract In this paper, we discuss a priori error estimates for the finite volume element approximation of optimal control problem governed by Stokes equations. Under some reasonable assumptions, we obtain optimal L 2 $L^{2}$ -norm error estimates. The approximate orders for the state, costate, and...

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Main Authors: Lin Lan, Ri-hui Chen, Xiao-dong Wang, Chen-xia Ma, Hao-nan Fu
Format: Article
Language:English
Published: SpringerOpen 2021-01-01
Series:Journal of Inequalities and Applications
Subjects:
Online Access:https://doi.org/10.1186/s13660-020-02532-4
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spelling doaj-4e23ee2b27974bf9b7a7f6391a5472dd2021-01-10T12:05:05ZengSpringerOpenJournal of Inequalities and Applications1029-242X2021-01-012021111310.1186/s13660-020-02532-4Error estimates of finite volume method for Stokes optimal control problemLin Lan0Ri-hui Chen1Xiao-dong Wang2Chen-xia Ma3Hao-nan Fu4Faculty of Land Resources Engineering, Kunming University of Science and TechnologyFaculty of Land Resources Engineering, Kunming University of Science and TechnologyFaculty of Land Resources Engineering, Kunming University of Science and TechnologyFaculty of Land Resources Engineering, Kunming University of Science and TechnologyFaculty of Land Resources Engineering, Kunming University of Science and TechnologyAbstract In this paper, we discuss a priori error estimates for the finite volume element approximation of optimal control problem governed by Stokes equations. Under some reasonable assumptions, we obtain optimal L 2 $L^{2}$ -norm error estimates. The approximate orders for the state, costate, and control variables are O ( h 2 ) $O(h^{2})$ in the sense of L 2 $L^{2}$ -norm. Furthermore, we derive H 1 $H^{1}$ -norm error estimates for the state and costate variables. Finally, we give some conclusions and future works.https://doi.org/10.1186/s13660-020-02532-4Optimal control problemStokes equationsFinite volume methodA priori error estimatesVariational discretization
collection DOAJ
language English
format Article
sources DOAJ
author Lin Lan
Ri-hui Chen
Xiao-dong Wang
Chen-xia Ma
Hao-nan Fu
spellingShingle Lin Lan
Ri-hui Chen
Xiao-dong Wang
Chen-xia Ma
Hao-nan Fu
Error estimates of finite volume method for Stokes optimal control problem
Journal of Inequalities and Applications
Optimal control problem
Stokes equations
Finite volume method
A priori error estimates
Variational discretization
author_facet Lin Lan
Ri-hui Chen
Xiao-dong Wang
Chen-xia Ma
Hao-nan Fu
author_sort Lin Lan
title Error estimates of finite volume method for Stokes optimal control problem
title_short Error estimates of finite volume method for Stokes optimal control problem
title_full Error estimates of finite volume method for Stokes optimal control problem
title_fullStr Error estimates of finite volume method for Stokes optimal control problem
title_full_unstemmed Error estimates of finite volume method for Stokes optimal control problem
title_sort error estimates of finite volume method for stokes optimal control problem
publisher SpringerOpen
series Journal of Inequalities and Applications
issn 1029-242X
publishDate 2021-01-01
description Abstract In this paper, we discuss a priori error estimates for the finite volume element approximation of optimal control problem governed by Stokes equations. Under some reasonable assumptions, we obtain optimal L 2 $L^{2}$ -norm error estimates. The approximate orders for the state, costate, and control variables are O ( h 2 ) $O(h^{2})$ in the sense of L 2 $L^{2}$ -norm. Furthermore, we derive H 1 $H^{1}$ -norm error estimates for the state and costate variables. Finally, we give some conclusions and future works.
topic Optimal control problem
Stokes equations
Finite volume method
A priori error estimates
Variational discretization
url https://doi.org/10.1186/s13660-020-02532-4
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AT xiaodongwang errorestimatesoffinitevolumemethodforstokesoptimalcontrolproblem
AT chenxiama errorestimatesoffinitevolumemethodforstokesoptimalcontrolproblem
AT haonanfu errorestimatesoffinitevolumemethodforstokesoptimalcontrolproblem
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