TY - JOUR
T1 - Unconditionally optimal error estimates of two linearized Galerkin FEMs for the two-dimensional nonlinear fractional Rayleigh–Stokes problem
AU - Guan, Zhen
AU - Wang, Jungang
AU - Nie, Yufeng
N1 - Publisher Copyright:
© 2021 Elsevier Ltd
PY - 2021/7/1
Y1 - 2021/7/1
N2 - In this paper, two linearized Galerkin finite element methods, which are based on the L1 approximation and the WSGD operator, respectively, are proposed to solve the nonlinear fractional Rayleigh-Stokes problem. In order to obtain the unconditionally optimal error estimate, we firstly introduce a time-discrete elliptic equation, and derive the unconditional error estimate between the exact solution and the solution of the time-discrete system in H2-norm. Secondly, we obtain the boundedness of the fully discrete finite element solution in L∞-norm through the more detailed study of the error equation. Then, the optimal L2-norm error estimate is derived for the fully discrete system without any restriction conditions on the time step size. Finally, some numerical experiments are presented to confirm the theoretical results, showing that the two linearized schemes given in this paper are efficient and reliable.
AB - In this paper, two linearized Galerkin finite element methods, which are based on the L1 approximation and the WSGD operator, respectively, are proposed to solve the nonlinear fractional Rayleigh-Stokes problem. In order to obtain the unconditionally optimal error estimate, we firstly introduce a time-discrete elliptic equation, and derive the unconditional error estimate between the exact solution and the solution of the time-discrete system in H2-norm. Secondly, we obtain the boundedness of the fully discrete finite element solution in L∞-norm through the more detailed study of the error equation. Then, the optimal L2-norm error estimate is derived for the fully discrete system without any restriction conditions on the time step size. Finally, some numerical experiments are presented to confirm the theoretical results, showing that the two linearized schemes given in this paper are efficient and reliable.
KW - L1 approximation
KW - Linearized Galerkin FEMs
KW - Nonlinear fractional Rayleigh-Stokes problem
KW - Unconditionally optimal error estimate
KW - WSGD operator
UR - http://www.scopus.com/inward/record.url?scp=85104367249&partnerID=8YFLogxK
U2 - 10.1016/j.camwa.2021.04.008
DO - 10.1016/j.camwa.2021.04.008
M3 - 文章
AN - SCOPUS:85104367249
SN - 0898-1221
VL - 93
SP - 78
EP - 93
JO - Computers and Mathematics with Applications
JF - Computers and Mathematics with Applications
ER -