Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/32858
Title: Strong convergence of a linearization method for semi-linear elliptic equations with variable scaled production
Authors: ANH-KHOA, Vo 
Ijioma, Ekeoma Rowland
Ngoc, Nguyen Nhu
Issue Date: 2020
Publisher: SPRINGER HEIDELBERG
Source: Computational & Applied Mathematics, 39 (4) (Art N° 281)
Abstract: 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.
Notes: Ngoc, NN (corresponding author), Politecn Milan, Dipartimento Matemat, I-20133 Milan, Italy.
vakhoa.hcmus@gmail.com; e.r.ijioma@gmail.com; nhungoc.nguyen@polimi.it
Other: Ngoc, NN (corresponding author), Politecn Milan, Dipartimento Matemat, I-20133 Milan, Italy. vakhoa.hcmus@gmail.com; e.r.ijioma@gmail.com; nhungoc.nguyen@polimi.it
Keywords: Microscopic problems;Linearization;Well-posedness;Homogenization;Error estimates;Perforated domains
Document URI: http://hdl.handle.net/1942/32858
ISSN: 2238-3603
e-ISSN: 1807-0302
DOI: 10.1007/s40314-020-01334-0
ISI #: WOS:000574253600001
Rights: SBMAC - Sociedade Brasileira de Matemática Aplicada e Computacional 2020
Category: A1
Type: Journal Contribution
Validations: ecoom 2021
Appears in Collections:Research publications

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