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Strong convergence of a linearization method for semi-linear elliptic equations with variable scaled production
Computational and Applied Mathematics ( IF 2.5 ) Pub Date : 2020-10-01 , DOI: 10.1007/s40314-020-01334-0
Vo Anh Khoa , Ekeoma Rowland Ijioma , Nguyen Nhu Ngoc

This work is devoted to the development and analysis of a linearization algorithm for microscopic elliptic equations, with scaled degenerate production, posed in a perforated medium and constrained by the homogeneous Neumann–Dirichlet boundary conditions. This technique plays two roles: to guarantee the unique weak solvability of the microscopic problem and to provide a fine approximation in the macroscopic setting. The scheme systematically relies on the choice of a stabilization parameter in such a way as to guarantee the strong convergence in \(H^1\) norm for both the microscopic and macroscopic problems. In the standard variational setting, we prove the \(H^1\)-type contraction at the micro-scale based on the energy method. Meanwhile, we adopt the classical homogenization result in line with corrector estimate to show the convergence of the scheme at the macro-scale. In the numerical section, we use the standard finite element method to assess the efficiency and convergence of our proposed algorithm.



中文翻译:

具有可变规模生产的半线性椭圆型方程线性化方法的强收敛性

这项工作致力于开发和分析微观椭圆方程的线性化算法,并按比例缩小简并产量,并将其置于多孔介质中,并受齐次Neumann–Dirichlet边界条件的约束。该技术扮演两个角色:确保微观问题的独特弱可解性,并在宏观环境中提供良好的近似。该方案系统地依赖于稳定参数的选择,以确保无论是微观还是宏观问题,\(H ^ 1 \)范式都具有很强的收敛性。在标准变量设置中,我们证明\(H ^ 1 \)基于能量方法的微尺度收缩。同时,我们采用符合校正器估计的经典均匀化结果,以显示该方案在宏观尺度上的收敛性。在数值部分,我们使用标准有限元方法来评估所提出算法的效率和收敛性。

更新日期:2020-10-02
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