An Exponentially Fitted Numerical Scheme via Domain Decomposition for Solving Singularly Perturbed Differential Equations with Large Negative Shift

Ababi Hailu Ejere, Gemechis File Duressa, Mesfin Mekuria Woldaregay, Tekle Gemechu Dinka and Stanislaw Migorski

Journal of Mathematics, 2022, vol. 2022, 1-13

Abstract: In this study, we focus on the formulation and analysis of an exponentially fitted numerical scheme by decomposing the domain into subdomains to solve singularly perturbed differential equations with large negative shift. The solution of problem exhibits twin boundary layers due to the presence of the perturbation parameter and strong interior layer due to the large negative shift. The original domain is divided into six subdomains, such as two boundary layer regions, two interior (interfacing) layer regions, and two regular regions. Constructing an exponentially fitted numerical scheme on each boundary and interior layer subdomains and combining with the solutions on the regular subdomains, we obtain a second order ε-uniformly convergent numerical scheme. To demonstrate the theoretical results, numerical examples are provided and analyzed.

Date: 2022
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Persistent link: https://EconPapers.repec.org/RePEc:hin:jjmath:7974134

DOI: 10.1155/2022/7974134

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