TY - JOUR
T1 - A posteriori and superconvergence error analysis for finite element approximation of the Steklov eigenvalue problem
AU - Xiong, Chunguang
AU - Xie, Manting
AU - Luo, Fusheng
AU - Su, Hongling
N1 - Publisher Copyright:
© 2023 Elsevier Ltd
PY - 2023/8/15
Y1 - 2023/8/15
N2 - In the current paper, we introduce an error analysis method and a new procedure to accelerate the convergence of finite element (FE) approximation of the Steklov eigenvalue problem. The error analysis consists of three steps. First, we introduce an optimal residual type the a posteriori error estimator, and prove its efficiency and reliability. Next, we present a residual type the a priori estimate in terms of derivatives of the eigenfunctions. Finally, we prove accurate the a priori error estimates by combining the a priori residual estimate and the a posteriori error estimates. The new procedure for accelerating the convergence comes from a postprocessing technique, in which we solve an auxiliary source problem on argument spaces. The argument space can be obtained similarly as in the two-space method by increasing the order of polynomials by one. We end the paper by reporting the results of a couple of numerical tests, which allow us to assess the performance of the new error analysis and the postprocessing method.
AB - In the current paper, we introduce an error analysis method and a new procedure to accelerate the convergence of finite element (FE) approximation of the Steklov eigenvalue problem. The error analysis consists of three steps. First, we introduce an optimal residual type the a posteriori error estimator, and prove its efficiency and reliability. Next, we present a residual type the a priori estimate in terms of derivatives of the eigenfunctions. Finally, we prove accurate the a priori error estimates by combining the a priori residual estimate and the a posteriori error estimates. The new procedure for accelerating the convergence comes from a postprocessing technique, in which we solve an auxiliary source problem on argument spaces. The argument space can be obtained similarly as in the two-space method by increasing the order of polynomials by one. We end the paper by reporting the results of a couple of numerical tests, which allow us to assess the performance of the new error analysis and the postprocessing method.
KW - Postprocessing
KW - Steklov eigenvalue problem
KW - Superconvergence
KW - The a posteriori error estimate
KW - The a priori error estimate
UR - http://www.scopus.com/inward/record.url?scp=85161295882&partnerID=8YFLogxK
U2 - 10.1016/j.camwa.2023.05.025
DO - 10.1016/j.camwa.2023.05.025
M3 - Article
AN - SCOPUS:85161295882
SN - 0898-1221
VL - 144
SP - 90
EP - 99
JO - Computers and Mathematics with Applications
JF - Computers and Mathematics with Applications
ER -