Improved Error Estimation for the Partially Penalized Immersed Finite Element Methods for Elliptic Interface Problems

Improved Error Estimation for the Partially Penalized Immersed Finite Element Methods for Elliptic Interface Problems

Year:    2019

Author:    Ruchi Guo, Tao Lin, Qiao Zhuang

International Journal of Numerical Analysis and Modeling, Vol. 16 (2019), Iss. 4 : pp. 575–589

Abstract

This paper is for proving that the partially penalized immersed finite element (PPIFE) methods developed in [25] converge optimally under the standard piecewise $H$regularity assumption for the exact solution. In energy norms, the error estimates given in this paper are better than those in [25] where a stronger piecewise $H$regularity was assumed. Furthermore, with the standard piecewise $H$regularity assumption, this paper proves that these PPIFE methods also converge optimally in the $L$2 norm which could not be proved in [25] because of the excessive $H$regularity requirement.

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Journal Article Details

Publisher Name:    Global Science Press

Language:    English

DOI:    https://doi.org/2019-IJNAM-13015

International Journal of Numerical Analysis and Modeling, Vol. 16 (2019), Iss. 4 : pp. 575–589

Published online:    2019-01

AMS Subject Headings:    Global Science Press

Copyright:    COPYRIGHT: © Global Science Press

Pages:    15

Keywords:    Interface problems immersed finite element methods optimal convergence discontinuous coefficients finite element spaces interface independent mesh regularity.

Author Details

Ruchi Guo

Tao Lin

Qiao Zhuang