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Published in: Journal of Scientific Computing 3/2023

01-12-2023

Adaptive Virtual Element Method for Optimal Control Problem Governed by Stokes Equations

Authors: Yanwei Li, Qiming Wang, Zhaojie Zhou

Published in: Journal of Scientific Computing | Issue 3/2023

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Abstract

In this paper, adaptive virtual element method (VEM) approximation of optimal control problem governed by Stokes equations with control constraints is discussed. The virtual element discrete scheme of the optimal control problem is constructed by polynomial projections and variational discretization of the control variable. Based on the a posteriori error estimates of VEM for Stokes equations and approximated error equivalence between the solutions of the optimal control problem and the solutions of the state and adjoint equations, we build up upper and lower bounds for the a posteriori error estimates of the optimal control problem. It proves that the a posteriori error indicator is reliable and efficient. The theoretical findings are illustrated by the numerical experiments.

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Literature
1.
go back to reference Allendes, A., Fuica, F., Otarola, E., Quero, D.: An adaptive FEM for the pointwise tracking optimal control problem of the Stokes equations. SIAM J. Sci. Comput. 41(5), A2967–A2998 (2019)MathSciNetCrossRefMATH Allendes, A., Fuica, F., Otarola, E., Quero, D.: An adaptive FEM for the pointwise tracking optimal control problem of the Stokes equations. SIAM J. Sci. Comput. 41(5), A2967–A2998 (2019)MathSciNetCrossRefMATH
2.
go back to reference Allendes, A., Fuica, F., Otarola, E., Quero, D.: A posteriori error estimates for a distributed optimal control problem of the stationary Navier–Stokes equations. SIAM J. Control. Optim. 59(4), 2898–2923 (2021)MathSciNetCrossRefMATH Allendes, A., Fuica, F., Otarola, E., Quero, D.: A posteriori error estimates for a distributed optimal control problem of the stationary Navier–Stokes equations. SIAM J. Control. Optim. 59(4), 2898–2923 (2021)MathSciNetCrossRefMATH
3.
go back to reference Becker, R., Kapp, R., Rannacher, R.: Adaptive finite element methods for optimal control of partial differential equations: basic concept. SIAM J. Control. Optim. 39(1), 113–132 (2000)MathSciNetCrossRefMATH Becker, R., Kapp, R., Rannacher, R.: Adaptive finite element methods for optimal control of partial differential equations: basic concept. SIAM J. Control. Optim. 39(1), 113–132 (2000)MathSciNetCrossRefMATH
4.
go back to reference Beirão da Veiga, L., Brezzi, F., Cangiani, A., Manzini, G., Marini, L.D., Russo, A.: Basic principles of virtual element methods. Math. Models Methods Appl. Sci. 23(1), 199–214 (2013)MathSciNetCrossRefMATH Beirão da Veiga, L., Brezzi, F., Cangiani, A., Manzini, G., Marini, L.D., Russo, A.: Basic principles of virtual element methods. Math. Models Methods Appl. Sci. 23(1), 199–214 (2013)MathSciNetCrossRefMATH
5.
go back to reference Beirão da Veiga, L., Brezzi, F., Marini, L.D.: Virtual elements for linear elasticity problems. SIAM J. Numer. Anal. 51(2), 794–812 (2013)MathSciNetCrossRefMATH Beirão da Veiga, L., Brezzi, F., Marini, L.D.: Virtual elements for linear elasticity problems. SIAM J. Numer. Anal. 51(2), 794–812 (2013)MathSciNetCrossRefMATH
6.
go back to reference Beirão da Veiga, L., Brezzi, F., Marini, L.D., Russo, A.: Virtual element method for general second order elliptic problems on polygonal meshes. Math. Models Methods Appl. Sci. 26(4), 729–750 (2016)MathSciNetCrossRefMATH Beirão da Veiga, L., Brezzi, F., Marini, L.D., Russo, A.: Virtual element method for general second order elliptic problems on polygonal meshes. Math. Models Methods Appl. Sci. 26(4), 729–750 (2016)MathSciNetCrossRefMATH
7.
go back to reference Beirão da Veiga, L., Lovadina, C., Vacca, G.: Divergence free virtual elements for the Stokes problem on polygonal meshes. ESAIM Math. Model. Numer. Anal. 51(2), 509–535 (2017)MathSciNetCrossRefMATH Beirão da Veiga, L., Lovadina, C., Vacca, G.: Divergence free virtual elements for the Stokes problem on polygonal meshes. ESAIM Math. Model. Numer. Anal. 51(2), 509–535 (2017)MathSciNetCrossRefMATH
8.
go back to reference Beirão da Veiga, L., Lovadina, C., Vacca, G.: Virtual elements for the Navier–Stokes problem on polygonal meshes. SIAM J. Numer. Anal. 56(3), 1210–1242 (2018)MathSciNetCrossRefMATH Beirão da Veiga, L., Lovadina, C., Vacca, G.: Virtual elements for the Navier–Stokes problem on polygonal meshes. SIAM J. Numer. Anal. 56(3), 1210–1242 (2018)MathSciNetCrossRefMATH
9.
go back to reference Boffi, D., Brezzi, F., Fortin, M.: Mixed Finite Element Methods and Applications. Springer, Berlin (2013)CrossRefMATH Boffi, D., Brezzi, F., Fortin, M.: Mixed Finite Element Methods and Applications. Springer, Berlin (2013)CrossRefMATH
10.
go back to reference Braack, M., Richter, T.: Solutions of 3D Navier–Stokes benchmark problems with adaptive finite elements. Comput. Fluids 35(4), 372–392 (2006)CrossRefMATH Braack, M., Richter, T.: Solutions of 3D Navier–Stokes benchmark problems with adaptive finite elements. Comput. Fluids 35(4), 372–392 (2006)CrossRefMATH
11.
go back to reference Brenne, S.C., Guan, Q.G., Sung, L.Y.: Some estimates for virtual element methods. Comput. Methods Appl. Math. 17(4), 553–574 (2017)MathSciNetCrossRef Brenne, S.C., Guan, Q.G., Sung, L.Y.: Some estimates for virtual element methods. Comput. Methods Appl. Math. 17(4), 553–574 (2017)MathSciNetCrossRef
12.
go back to reference Brezzi, F., Marini, L.D.: Virtual element methods for plate bending problems. Comput. Methods Appl. Mech. Eng. 253, 455–462 (2013)MathSciNetCrossRefMATH Brezzi, F., Marini, L.D.: Virtual element methods for plate bending problems. Comput. Methods Appl. Mech. Eng. 253, 455–462 (2013)MathSciNetCrossRefMATH
13.
go back to reference Cangiani, A., Georgoulis, E.H., Pryer, T., Sutton, O.J.: A posteriori error estimates for the virtual element method. Numer. Math. 137(4), 857–893 (2017)MathSciNetCrossRefMATH Cangiani, A., Georgoulis, E.H., Pryer, T., Sutton, O.J.: A posteriori error estimates for the virtual element method. Numer. Math. 137(4), 857–893 (2017)MathSciNetCrossRefMATH
16.
go back to reference de los Reyes, J.C., Kunisch, K.: A semi-smooth Newton method for control constrained boundary optimal control of the Navier–Stokes equations. Nonlinear Anal. 62(7), 1289–1316 (2005)MathSciNetCrossRefMATH de los Reyes, J.C., Kunisch, K.: A semi-smooth Newton method for control constrained boundary optimal control of the Navier–Stokes equations. Nonlinear Anal. 62(7), 1289–1316 (2005)MathSciNetCrossRefMATH
17.
go back to reference Deckelnick, K., Hinze, M.: Semidiscretization and error estimates for distributed control of the instationary Navier–Stokes equations. Numer. Math. 97(2), 297–320 (2004)MathSciNetCrossRefMATH Deckelnick, K., Hinze, M.: Semidiscretization and error estimates for distributed control of the instationary Navier–Stokes equations. Numer. Math. 97(2), 297–320 (2004)MathSciNetCrossRefMATH
18.
go back to reference Hinze, M.: A variational discretization concept in control constrained optimization: the linear-quadratic case. Comput. Optim. Appl. 30(1), 45–61 (2005)MathSciNetCrossRefMATH Hinze, M.: A variational discretization concept in control constrained optimization: the linear-quadratic case. Comput. Optim. Appl. 30(1), 45–61 (2005)MathSciNetCrossRefMATH
19.
go back to reference Liu, W.B., Yan, N.N.: A posteriori error estimates for control problems governed by Stokes equations. SIAM J. Numer. Anal. 40(5), 1850–1869 (2002)MathSciNetCrossRefMATH Liu, W.B., Yan, N.N.: A posteriori error estimates for control problems governed by Stokes equations. SIAM J. Numer. Anal. 40(5), 1850–1869 (2002)MathSciNetCrossRefMATH
20.
go back to reference Liu, H.P., Yan, N.N.: Recovery type superconvergence and a posteriori error estimates for control problems governed by Stokes equations. J. Comput. Appl. Math. 209(2), 187–207 (2007)MathSciNetCrossRefMATH Liu, H.P., Yan, N.N.: Recovery type superconvergence and a posteriori error estimates for control problems governed by Stokes equations. J. Comput. Appl. Math. 209(2), 187–207 (2007)MathSciNetCrossRefMATH
21.
go back to reference Liu, W.B., Yan, N.N.: Adaptive Finite Element Methods for Optimal Control Governed by PDEs. Science Press, Beijing (2008) Liu, W.B., Yan, N.N.: Adaptive Finite Element Methods for Optimal Control Governed by PDEs. Science Press, Beijing (2008)
22.
go back to reference Mora, D., Rivera, G., Rodríguez, R.: A posteriori error estimates for a virtual element method for the Steklov eigenvalue problem. Comput. Math. Appl. 74(9), 2172–2190 (2017)MathSciNetCrossRefMATH Mora, D., Rivera, G., Rodríguez, R.: A posteriori error estimates for a virtual element method for the Steklov eigenvalue problem. Comput. Math. Appl. 74(9), 2172–2190 (2017)MathSciNetCrossRefMATH
23.
go back to reference Nicaise, S., Sirch, D.: Optimal control of the Stokes equations: conforming and non-conforming finite element methods under reduced regularity. Comput. Optim. Appl. 49(3), 567–600 (2011)MathSciNetCrossRefMATH Nicaise, S., Sirch, D.: Optimal control of the Stokes equations: conforming and non-conforming finite element methods under reduced regularity. Comput. Optim. Appl. 49(3), 567–600 (2011)MathSciNetCrossRefMATH
24.
go back to reference Niu, H.F., Yang, D.P.: Finite element analysis of optimal control problem governed by Stokes equations with \({L}^2\)-norm state-constraints. J. Comput. Math. 29(5), 589–604 (2011)MathSciNetCrossRefMATH Niu, H.F., Yang, D.P.: Finite element analysis of optimal control problem governed by Stokes equations with \({L}^2\)-norm state-constraints. J. Comput. Math. 29(5), 589–604 (2011)MathSciNetCrossRefMATH
25.
go back to reference Niu, H.F., Yuan, L., Yang, D.P.: Adaptive finite element method for an optimal control problem of Stokes flow with \({L}^2\)-norm state constraint. SIAM J. Numer. Anal. 69(3), 534–549 (2012) Niu, H.F., Yuan, L., Yang, D.P.: Adaptive finite element method for an optimal control problem of Stokes flow with \({L}^2\)-norm state constraint. SIAM J. Numer. Anal. 69(3), 534–549 (2012)
26.
go back to reference Rösch, A., Vexler, B.: Optimal control of the Stokes equations, a priori error analysis for finite element discretization with postprocessing. SIAM J. Numer. Anal. 44(5), 1903–1920 (2006)MathSciNetCrossRefMATH Rösch, A., Vexler, B.: Optimal control of the Stokes equations, a priori error analysis for finite element discretization with postprocessing. SIAM J. Numer. Anal. 44(5), 1903–1920 (2006)MathSciNetCrossRefMATH
27.
go back to reference Tröltzsch, F., Wachsmuth, D.: Second-order sufficient optimality conditions for the optimal control of Navier–Stokes equations. Nonlinear Anal. 12(1), 93–119 (2006)MathSciNetMATH Tröltzsch, F., Wachsmuth, D.: Second-order sufficient optimality conditions for the optimal control of Navier–Stokes equations. Nonlinear Anal. 12(1), 93–119 (2006)MathSciNetMATH
28.
go back to reference Vacca, G.: An \({H}^1\)-conforming virtual element for Darcy and Brinkman equations. Math. Models Methods Appl. Sci. 28(1), 159–194 (2018)MathSciNetCrossRefMATH Vacca, G.: An \({H}^1\)-conforming virtual element for Darcy and Brinkman equations. Math. Models Methods Appl. Sci. 28(1), 159–194 (2018)MathSciNetCrossRefMATH
30.
go back to reference Wang, Q.M., Zhou, Z.J.: Adaptive virtual element method for optimal control problem governed by general elliptic equation. J. Sci. Comput. 88(1), 14 (2021)MathSciNetCrossRefMATH Wang, Q.M., Zhou, Z.J.: Adaptive virtual element method for optimal control problem governed by general elliptic equation. J. Sci. Comput. 88(1), 14 (2021)MathSciNetCrossRefMATH
31.
go back to reference Wang, Q.M., Zhou, Z.J.: A priori and a posteriori error analysis for virtual element discretization of elliptic optimal control problem. Numer. Algor. 90, 989–1015 (2022)MathSciNetCrossRefMATH Wang, Q.M., Zhou, Z.J.: A priori and a posteriori error analysis for virtual element discretization of elliptic optimal control problem. Numer. Algor. 90, 989–1015 (2022)MathSciNetCrossRefMATH
32.
go back to reference Wang, J.P., Wang, Y.Q., Ye, X.: A posteriori error estimation for an interior penalty type method employing H(div) elements for the Stokes equations. SIAM J. Sci. Comput. 33(1), 131–152 (2011)MathSciNetCrossRefMATH Wang, J.P., Wang, Y.Q., Ye, X.: A posteriori error estimation for an interior penalty type method employing H(div) elements for the Stokes equations. SIAM J. Sci. Comput. 33(1), 131–152 (2011)MathSciNetCrossRefMATH
33.
go back to reference Wang, G., Wang, Y., He, Y.N.: A posteriori error estimates for the virtual element method for the Stokes problem. J. Sci. Comput. 84(2), 37 (2020)MathSciNetCrossRefMATH Wang, G., Wang, Y., He, Y.N.: A posteriori error estimates for the virtual element method for the Stokes problem. J. Sci. Comput. 84(2), 37 (2020)MathSciNetCrossRefMATH
Metadata
Title
Adaptive Virtual Element Method for Optimal Control Problem Governed by Stokes Equations
Authors
Yanwei Li
Qiming Wang
Zhaojie Zhou
Publication date
01-12-2023
Publisher
Springer US
Published in
Journal of Scientific Computing / Issue 3/2023
Print ISSN: 0885-7474
Electronic ISSN: 1573-7691
DOI
https://doi.org/10.1007/s10915-023-02377-1

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