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首页> 外文期刊>Computers & mathematics with applications >Unconditionally optimal error estimates of two linearized Galerkin FEMs for the two-dimensional nonlinear fractional Rayleigh-Stokes problem
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Unconditionally optimal error estimates of two linearized Galerkin FEMs for the two-dimensional nonlinear fractional Rayleigh-Stokes problem

机译:无条件地最佳误差估计两维非线性分数瑞利 - 瑞典问题的两个线性化Galerkin FEM

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摘要

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 H-2-norm. Secondly, we obtain the boundedness of the fully discrete finite element solution in L-infinity-norm through the more detailed study of the error equation. Then, the optimal L-2-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.
机译:在本文中,提出了两个基于L1近似和WSGD操作员的两个线性化Galerkin有限元方法,以解决非线性分数瑞利 - 斯托克斯问题。 为了获得无条件的最佳误差估计,我们首先引入了一个时间离散的椭圆方程,并导出了在H-2 - 规范中的确切解决方案和时间离散系统的完全解决方案之间的无条件误差估计。 其次,我们通过更详细地研究误差方程的研究,在L-Infinity-Norm中获得完全分离的有限元解决方案的界限。 然后,为完全分立的系统导出最佳L-2-NOM误差估计,而不在时间步长的任何限制条件。 最后,提出了一些数值实验以确认理论结果,表明本文中给出的两个线性化方案是有效可靠的。

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