Hostname: page-component-586b7cd67f-r5fsc Total loading time: 0 Render date: 2024-11-22T23:31:31.210Z Has data issue: false hasContentIssue false

A Triangular Spectral Method for the Stokes Equations

Published online by Cambridge University Press:  28 May 2015

Lizhen Chen
Affiliation:
School of Mathematical Sciences, Xiamen University, 361005 Xiamen, China
Jie Shen*
Affiliation:
School of Mathematical Sciences, Xiamen University, 361005 Xiamen, China Department of Mathematics, Purdue University, West Lafayette, IN, 47907, USA
Chuanju Xu*
Affiliation:
School of Mathematical Sciences, Xiamen University, 361005 Xiamen, China
*
Corresponding author.Email address:[email protected]
Corresponding author.Email address:[email protected]
Get access

Abstract

A triangular spectral method for the Stokes equations is developed in this paper. The main contributions are two-fold: First of all, a spectral method using the rational approximation is constructed and analyzed for the Stokes equations in a triangular domain. The existence and uniqueness of the solution, together with an error estimate for the velocity, are proved. Secondly, a nodal basis is constructed for the efficient implementation of the method. These new basis functions enjoy the fully tensorial product property as in a tensor-produce domain. The new triangular spectral method makes it easy to treat more complex geometries in the classical spectral-element framework, allowing us to use arbitrary triangular and tetrahedral elements.

Type
Research Article
Copyright
Copyright © Global Science Press Limited 2011

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

[1]Bernardi, C. and Maday, Y.. Approximations Spectrales de Problèmes aux Limites Elliptiques. Springer-Verlag, Paris, 1992.Google Scholar
[2]Boyd, J. P.. Chebyshev and Fourier Spectral Methods. Springer-Verlag, 1989.CrossRefGoogle Scholar
[3]Braess, D. and Schwab, C.. Approximation on simplices with respect to weighted sobolev norms. J. Approx. Theory, 103(2):329337, 2000.CrossRefGoogle Scholar
[4]Canuto, C., Hussaini, M. Y., Quarteroni, A., and Zang, T. A.. Spectral methods. Scientific Computation. Springer-Verlag, Berlin, 2006. Fundamentals in single domains.Google Scholar
[5]Dubiner, M.. Spectral methods on triangles and other domains. Journal of Scientific Computing, 6(4):345390, 1991.CrossRefGoogle Scholar
[6]Heinrichs, W. and Loch, B. I.. Spectral schemes on triangular elements. J. Comput. Phys., 173(1):279ĺC301, 2001.CrossRefGoogle Scholar
[7]Hesthaven, J. S.. From electrostatics to almost optimal nodal sets for polynomial interpolation in a simplex. SIAM Journal of Numerical Analysis, pages 655676, 1998.CrossRefGoogle Scholar
[8]Karniadakis, G. E. and Sherwin, S. J.. Spectral/hp element methods for CFD. Oxford University Press, 1999.Google Scholar
[9]Koornwinder, Tom. Two-variable analogues of the classical orthogonal polynomials. In Theory and application of special functions (Proc. Advanced Sem., Math. Res. Center, Univ. Wisconsin, Madison, Wis., 1975), pages 435-495. Math. Res. Center, Univ. Wisconsin, Publ. No. 35. Academic Press, New York, 1975.Google Scholar
[10]Li, H. and Shen, J.. Optimal error estimates in Jacobi-weighted Sobolev spaces for polynomial approximations on the triangle. Math. Comp., 79:16211646, 2010.CrossRefGoogle Scholar
[11]Maday, Y., Meiron, D., Patera, A. T., and Rønquist, E. M.. Analysis of iterative methods for the steady and unsteady Stokes problem: Application to spectral element discretizations. SIAM Journal on Scientific Computing, 14:310, 1993.CrossRefGoogle Scholar
[12]Owens, R. G.. Spectral approximations on the triangle. Proceedings: Mathematical, Physical and Engineering Sciences, pages 857872, 1998.CrossRefGoogle Scholar
[13]Pasquetti, R. and Rapetti, F.. Spectral element methods on triangles and quadrilaterals: comparisons and applications. Journal of Computational Physics, 198(1):349362, 2004.CrossRefGoogle Scholar
[14]Pasquetti, R. and Rapetti, F.. Spectral element methods on unstructured meshes: Comparisons and recent advances. J. Sci. Comput., 27(1-3):377387, 2006.CrossRefGoogle Scholar
[15]Shen, Jie, Wang, Li-Lian, and Li, Huiyuan. A triangular spectral element method using fully tensorial rational basis functions. SIAM J. Numer. Anal., 47(3):16191650, 2009.CrossRefGoogle Scholar
[16]Sherwin, S. J. and Karniadakis, G. E.. A triangular spectral element method: applications to the incompressible Navier-Stokes equations. Computer Methods in Applied Mechanics and Engineering, 123(1-4):189229, 1995.CrossRefGoogle Scholar
[17]Taylor, M. A., Wingate, B. A., and Vincent, R.E.. An algorithm for computing Fekete points in the triangle. SIAM Journal on Numerical Analysis, pages 17071720, 2001.Google Scholar