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Error Estimates of Mixed Methods for Optimal Control Problems Governed by General Elliptic Equations

Published online by Cambridge University Press:  19 September 2016

Tianliang Hou*
Affiliation:
School of Mathematics and Statistics, Beihua University, Jilin 132013, China
Li Li*
Affiliation:
Key Laboratory for Nonlinear Science and System Structure, School of Mathematics and Statistics, Chongqing Three Gorges University, Wanzhou 404100, China
*
*Corresponding author. Email:[email protected] (T. L. Hou), [email protected] (L. Li)
*Corresponding author. Email:[email protected] (T. L. Hou), [email protected] (L. Li)
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Abstract

In this paper, we investigate the error estimates of mixed finite element methods for optimal control problems governed by general elliptic equations. 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 L2 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 2016 

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References

[1] 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.Google Scholar
[2] Brezzi, F. and Fortin, M., Mixed and Hybrid Finite Element Methods, Springer-Verlag, New York, 1991.Google Scholar
[3] Chen, Y., Superconvergence of mixed finite element methods for optimal control problems, Math. Comput., 77 (2008), pp. 12691291.Google Scholar
[4] 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
[5] 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
[6] Chen, Y., Huang, Y., Liu, W. and Yan, N., Error estimates and superconvergence of mixed finite element methods for convex optimal control problems, J. Sci. Comput., 42(3) (2010), pp. 382403.Google Scholar
[7] Ciarlet, P. G., The Finite Element Method for Elliptic Problems, North-Holland, Amsterdam, 1978.Google Scholar
[8] 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
[9] 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.CrossRefGoogle Scholar
[10] 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.Google Scholar
[11] Knowles, G., Finite element approximation of parabolic time optimal control problems, SIAM J. Control Optim., 20 (1982), pp. 414427.Google Scholar
[13] Li, R., Liu, W., Ma, H. and Tang, T., Adaptive finite element approximation of elliptic control problems, SIAM J. Control Optim., 41 (2002), pp. 13211349.Google Scholar
[14] Lions, J. L., Optimal Control of Systems Governed by Partial Differential Equations, Springer-Verlag, Berlin, 1971.CrossRefGoogle Scholar
[15] Meyer, C. and Rösch, A., Superconvergence properties of optimal control problems, SIAM J. Control Optim., 43(3) (2004), pp. 970985.Google Scholar
[16] Meyer, C. and Rösch, A., L-error estimates for approximated optimal control problems, SIAM J. Control Optim., 44 (2005), pp. 16361649.Google Scholar
[17] Meider, 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. 11501177.Google Scholar
[18] Meider, 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. 13011329.Google Scholar
[19] McKinght, R. S. and Borsarge, J., The Ritz-Galerkin procedure for parabolic control problems, SIAM J. Control Optim., 11 (1973), pp. 510542.CrossRefGoogle Scholar
[20] 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. 292315.Google Scholar
[21] Yang, D., Chang, Y. and Liu, W., A priori error estimates and superconvergence analysis for an optimal control problems of bilinear type, J. Comput. Math., 4 (2008), pp. 471487.Google Scholar
[22] 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. 267283.CrossRefGoogle Scholar