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Error Estimates and Superconvergence of RT0 Mixed Methods for a Class of Semilinear Elliptic Optimal Control Problems

Published online by Cambridge University Press:  28 May 2015

Yanping Chen*
Affiliation:
School of Mathematical Sciences, South China Normal University, Guangzhou 510631, Guangdong, China
Tianliang Hou*
Affiliation:
School of Mathematical Sciences, South China Normal University, Guangzhou 510631, Guangdong, China Research Institute of Hong Kong Baptist University in Shenzhen, Shenzhen 518057, Guangdong, China
*
Corresponding author.Email address:yanpingchen@scnu.edu.cn
Corresponding author.Email address:htlchb@163.com
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Abstract

In this paper, we will investigate the error estimates and the superconvergence property of mixed finite element methods for a semilinear elliptic control problem with an integral constraint on control. The state and co-state are approximated by the lowest order Raviart-Thomas mixed finite element and the control variable is approximated by piecewise constant functions. We derive some superconvergence properties for the control variable and the state variables. Moreover, we derive L- and H−1 -error estimates both for the control variable and the state variables. Finally, a numerical example is given to demonstrate the theoretical results.

Type
Research Article
Copyright
Copyright © Global Science Press Limited 2013

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References

[1]Brezzi, F. and Fortin, M., Mixed and Hybrid Finite Element Methods, Springer-Verlag., 95 (1991), pp. 65187.CrossRefGoogle Scholar
[2]Bonnans, J. F., Second-order analysis for control constrained optimal control problems of semi-linear elliptic systems, Appp. Math. Optim., 38 (1998), pp. 303325.CrossRefGoogle Scholar
[3]Bonnans, J. F. and Casas, E., An extension of p ontry agin’s principle for state constrained optimal control of semilinear elliptic equation and variational inequalities, SIAM J. Control Optim., 33 (1995), pp. 274298.CrossRefGoogle Scholar
[4]Chen, Y., Superconvergence of mixed finite element methods for optimal control problems, Math. Comput., 77 (2008), pp. 12691291.CrossRefGoogle Scholar
[5]Chen, Y., Superconvergence of quadratic optimal control problems by triangular mixed finite elements, Inter. J. Numer. Meths. Eng., 75 (8) (2008), pp, 881898.CrossRefGoogle Scholar
[6]Chen, Y. and Dai, Y., Superconvergence for optimal control problems governed by semi-linear elliptic equations, J. Sci. Comput., 39 (2009), pp. 206221.CrossRefGoogle Scholar
[7]Chen, Y., Huang, F., Yi, N. and Liu, W. B., A Legendre-Galerkin spectral method for optimal control problems governed by Stokes equations, SIAM J. Numer. Anal., 49 (2011), pp. 16251648.CrossRefGoogle Scholar
[8]Chen, Y. and Hou, T., Superconvergence and L-error estimates of RT1 mixed methods for semi-linear elliptic control problems with an integral constraint, Numer. Math. Theor. Meth. Appl., 5 (2012), pp. 423446.Google Scholar
[9]Chen, Y., Huang, Y, Liu, W. B. and Yan, N., Error estimates and superconvergence of mixed finite element methods for convex optimal control problems, J. Sci. Comput., 42 (3) (2009), pp. 382403.CrossRefGoogle Scholar
[10]Chen, Y., Yi, N. and Liu, W. B., A Legendre Galerkin spectral method for optimal control problems governed by elliptic equations, SIAM J. Numer. Anal., 46 (2008), pp. 22542275.CrossRefGoogle Scholar
[11]Ciarlet, P. G., The Finite Element Method for Elliptic Problems, North-Holland, Amsterdam, 1978.Google Scholar
[12]Deng, K., Chen, Y and Lu, Z., Higher order triangular mixedfinite element methods for semilinear quadratic optimal control problems, Numer. Math. Theor. Meth. Appl., 4(2) (2011), pp. 180196.CrossRefGoogle Scholar
[13]Douglas, J. and Roberts, J. E., Global estimates for mixedfinite element methods for second order elliptic equations, Math. Comput., 44 (1985), pp. 3952.CrossRefGoogle Scholar
[14]Ewing, R. E., Liu, M. M. and Wang, J., Superconvergence of mixedfinite element approximations over quadrilaterals, SIAM J. Numer. Anal., 36 (1999), pp. 772787.CrossRefGoogle Scholar
[16]Lin, Q. and Yan, N., Structure and Analysis for Efficient Finite Element Methods, Publishers of Hebei University, China, 1996.Google Scholar
[17]Li, R., Liu, W. B. and Yan, N., A posteriori error estimates of recovery type for distributed convex optimal control problems, J. Sci. Comput., 33 (2007), pp. 155182.CrossRefGoogle Scholar
[18]Liu, H. and Yan, N., Recovery type superconvergence and a posteriori error estimates for control problems governed by Stokes equations, J. Comput. Appl. Math., 209 (2007), pp. 187207.CrossRefGoogle Scholar
[19]Lions, J. L., Optimal Control of Systems Governed by Partial Differential Equations, Springer-Verlag, Berlin, 1971.CrossRefGoogle Scholar
[20]Lu, Z. and Chen, Y, L-error estimates of triangular mixedfinite element methods for optimal control problems governed by semilinear elliptic equations, Numer. Anal. Appl., 12(1) (2009), pp. 74-86.Google Scholar
[21]Meyer, C. and Rösch, A., Superconvergence properties of optimal control problems, SIAM J. Control Optim., 43(3) (2004), pp. 970-985.CrossRefGoogle Scholar
[22]Raviart, P. A. and Thomas, J. M., A mixed finite element method for 2nd order elliptic problems, aspects of the finite element method, Lecture Notes in Math, Springer, Berlin, 606 (1977), pp. 292–315.Google Scholar
[23]Yang, D., Chang, Y. and Liu, W. B., A priori error estimates and superconvergence analysis for an optimal control problem of bilinear type, J. Comput. Math., 4 (2008), pp. 471–487.Google Scholar
[24]Yan, N., Superconvergence analysis and a posteriori error estimation of a finite element method for an optimal control problem governed by integral equations, Appl. Math., 54 (2009), pp. 267–283.CrossRefGoogle Scholar