Weak coupling of solutions of first-order least-squares method
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- by Jaeun Ku;
- Math. Comp. 77 (2008), 1323-1332
- DOI: https://doi.org/10.1090/S0025-5718-08-02062-0
- Published electronically: January 22, 2008
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Abstract:
A theoretical analysis of a first-order least-squares finite element method for second-order self-adjoint elliptic problems is presented. We investigate the coupling effect of the approximate solutions $u_h$ for the primary function $u$ and $\boldsymbol {\sigma }_h$ for the flux $\boldsymbol {\sigma }=-\mathcal A\nabla u$. We prove that the accuracy of the approximate solution $u_h$ for the primary function $u$ is weakly affected by the flux $\boldsymbol {\sigma }=-\mathcal A\nabla u$. That is, the bound for $\|u-u_h\|_1$ is dependent on $\boldsymbol {\sigma }$, but only through the best approximation for $\boldsymbol {\sigma }$ multiplied by a factor of meshsize $h$. Similarly, we provide that the bound for $\|\boldsymbol {\sigma }-\boldsymbol {\sigma }_h\|_{H(div)}$ is dependent on $u$, but only through the best approximation for $u$ multiplied by a factor of the meshsize $h$. This weak coupling is not true for the non-selfadjoint case. We provide the numerical experiment supporting the theorems in this paper.References
- Ivo Babuška, The finite element method with Lagrangian multipliers, Numer. Math. 20 (1972/73), 179–192. MR 359352, DOI 10.1007/BF01436561
- James H. Bramble, Raytcho D. Lazarov, and Joseph E. Pasciak, A least-squares approach based on a discrete minus one inner product for first order systems, Math. Comp. 66 (1997), no. 219, 935–955. MR 1415797, DOI 10.1090/S0025-5718-97-00848-X
- James H. Bramble, Raytcho D. Lazarov, and Joseph E. Pasciak, Least-squares for second-order elliptic problems, Comput. Methods Appl. Mech. Engrg. 152 (1998), no. 1-2, 195–210. Symposium on Advances in Computational Mechanics, Vol. 5 (Austin, TX, 1997). MR 1602783, DOI 10.1016/S0045-7825(97)00189-8
- Jan Brandts, Yanping Chen, and Julie Yang, A note on least-squares mixed finite elements in relation to standard and mixed finite elements, IMA J. Numer. Anal. 26 (2006), no. 4, 779–789. MR 2269196, DOI 10.1093/imanum/dri048
- F. Brezzi, On existence, uniqueness and approximation of saddle-point problems arising from Lagrange multipliers, RAIRO Anal. Numer., 21(1987), pp. 581-604.
- Zhiqiang Cai and Jaeun Ku, The $L^2$ norm error estimates for the div least-squares method, SIAM J. Numer. Anal. 44 (2006), no. 4, 1721–1734. MR 2257124, DOI 10.1137/050636504
- Z. Cai, R. Lazarov, T. A. Manteuffel, and S. F. McCormick, First-order system least squares for second-order partial differential equations. I, SIAM J. Numer. Anal. 31 (1994), no. 6, 1785–1799. MR 1302685, DOI 10.1137/0731091
- P. G. Ciarlet, The Finite Element Methods for Elliptic Problems, North-Holland, Amsterdam, 1978.
- P. Grisvard, Elliptic problems in nonsmooth domains, Monographs and Studies in Mathematics, vol. 24, Pitman (Advanced Publishing Program), Boston, MA, 1985. MR 775683
- T. Manteuffel, S. McCormick, and C. Pflaum, Improved discretization error estimates for first-order system least squares, J. Numer. Math. 11 (2003), no. 2, 163–177. MR 1987593, DOI 10.1163/156939503766614153
- A. I. Pehlivanov, G. F. Carey, and R. D. Lazarov, Least-squares mixed finite elements for second-order elliptic problems, SIAM J. Numer. Anal. 31 (1994), no. 5, 1368–1377. MR 1293520, DOI 10.1137/0731071
- A. I. Pehlivanov, G. F. Carey, and P. S. Vassilevski, Least-squares mixed finite element methods for non-selfadjoint elliptic problems. I. Error estimates, Numer. Math. 72 (1996), no. 4, 501–522. MR 1376110, DOI 10.1007/s002110050179
- P.-A. Raviart and J. M. Thomas, A mixed finite element method for 2nd order elliptic problems, Mathematical aspects of finite element methods (Proc. Conf., Consiglio Naz. delle Ricerche (C.N.R.), Rome, 1975) Lecture Notes in Math., Vol. 606, Springer, Berlin-New York, 1977, pp. 292–315. MR 483555
- Gilbert Strang and George J. Fix, An analysis of the finite element method, Prentice-Hall Series in Automatic Computation, Prentice-Hall, Inc., Englewood Cliffs, NJ, 1973. MR 443377
Bibliographic Information
- Jaeun Ku
- Affiliation: Department of Mathematics, Purdue University, 150 N. University Street, West Lafayette, Indiana 47907-2067
- Address at time of publication: Department of Mathematics, Oklahoma State University, 401 Mathematical Sciences, Stillwater, Oklahoma 74078-1058
- Email: jku@math.okstate.edu
- Received by editor(s): November 20, 2006
- Received by editor(s) in revised form: April 16, 2007
- Published electronically: January 22, 2008
- Additional Notes: This research was supported in part by NSF grant DMS-0071412.
- © Copyright 2008
American Mathematical Society
The copyright for this article reverts to public domain 28 years after publication. - Journal: Math. Comp. 77 (2008), 1323-1332
- MSC (2000): Primary 65N30, 65N15
- DOI: https://doi.org/10.1090/S0025-5718-08-02062-0
- MathSciNet review: 2398770