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Superconvergence and L-Error Estimates of the Lowest Order Mixed Methods for Distributed Optimal Control Problems Governed by Semilinear Elliptic Equations

Published online by Cambridge University Press:  28 May 2015

Tianliang Hou*
Affiliation:
School of Mathematical Sciences, South China Normal University, Guangzhou 510631, Guangdong, China
*
*Corresponding author.Email address:htlchb@163.com
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Abstract

In this paper, we investigate the superconvergence property and the L-error estimates of mixed finite element methods for a semilinear elliptic control problem. The state and co-state are approximated by the lowest order Raviart-Thomas mixed finite element spaces and the control variable is approximated by piecewise constant functions. We derive some superconvergence results for the control variable. Moreover, we derive L-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] Arada, N., Casas, E. and Tröltzsch, F., Error estimates for the numerical approximation of a semilinear elliptic control problem, Comput. Optim. Appl., 23 (2002), pp. 201229.Google Scholar
[2] Bonnans, J. F. and Casas, E., An extension of Pontryagin’s principle for state constrained optimal control of semilinear elliptic eqnation and variational inequalities, SIAM J. Control Optim., 33 (1995), pp. 274298.CrossRefGoogle Scholar
[3] Brezzi, F. and Fortin, M., Mixed and hybrid finite element methods, Springer-Verlag., 95 (1991), pp. 65187.Google Scholar
[4] Chen, Y., Superconvergence of mixed finite element methods for optimal control problems, Math. Comput., 77 (2008), pp. 12691291.Google 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.Google 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.Google Scholar
[7] 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 (3) (2012), pp. 423446.Google Scholar
[8] 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.Google Scholar
[9] Ciarlet, P. G., The Finite Element Method for Elliptic Problems, North-Holland, Amsterdam, 1978.Google Scholar
[10] Douglas, J. and Roberts, J. E., Global estimates for mixed finite element methods for second order elliptic equations, Math. Comput., 44 (1985), pp. 3952.Google Scholar
[11] Gunzburger, M. D. and Hou, S. L., Finite dimensional approximation of a class of constrained nonlinear control problems, SIAM J. Control Optim., 34 (1996), pp. 10011043.Google Scholar
[12] Hou, L. and Turner, J. C., Analysis and finite element approximation of an optimal control problem in electrochemistry with current density controls, Numer. Math., 71 (1995), pp. 289315.CrossRefGoogle Scholar
[13] Knowles, G., Finite element approximation of parabolic time optimal control problems, SIAM J. Control Optim., 20 (1982), pp. 414427.CrossRefGoogle Scholar
[15] Li, R., Liu, W. B. and Yan, N., A posteriori error estimates of recovery type for distributed convex optimal control problems, J. Sci. Comput., 41 (5) (2002), pp. 13211349.Google Scholar
[16] Lions, J. L., Optimal Control of Systems Governed by Partial Differential Equations, Springer-Verlag, Berlin, 1971.CrossRefGoogle Scholar
[17] Ladyzhenskaya, O. A. and Uraltseva, N., Linear and Quasilinear Elliptic Equations, Academic Press, New York, 1968.Google Scholar
[18] Lu, Z. and Chen, Y, L-error estimates of triangular mixed finite element methods for optimal control problems governed by semilinear elliptic equations, Numer. Anal. Appl., 12 (1) (2009), pp. 7486.CrossRefGoogle Scholar
[19] Meyer, C. and Rösch, A., Superconvergence properties of optimal control problems, SIAM J. Control Optim., 43 (3) (2004), pp. 970985.Google Scholar
[20] Meyer, C. and Rösch, A., L-error estimates for approximated optimal control problems, SIAM J. Control Optim., 44 (2005), pp. 16361649.Google Scholar
[21] Meidner, D. and Vexler, B., A priori error estimates for space-time finite element discretization of parabolic optimal control problems part I: problems without control constraints, SIAM J. Control Optim., 47 (2008), pp. 1150–1177.Google Scholar
[22] Meidner, D. and Vexler, B., A priori error estimates for space-time finite element discretization of parabolic optimal control problems part II: problems with control constraints, SIAM J. Control Optim., 47 (2008), pp. 1301–1329.Google Scholar
[23] Mckinght, R. S. and Borsarge, J., The Rite-Galerkin procedure for parabolic control problems, SIAM J. Control Optim., 11 (1973), pp. 510–542.Google Scholar
[24] Raviart, P. A. and Thomas, J. M., A mixed finite element method for 2nd order elliptic problems, Aspecs of the Finite Element Method, Lecture Notes in Math, Springer, Berlin, 606 (1977), pp. 292–315.Google Scholar