An efficient numerical method for singularly perturbed time dependent parabolic 2D convection–diffusion systems

Clavero, C. (Universidad de Zaragoza) ; Jorge, J. C.

Resumen: In this paper we deal with solving efficiently 2D linear parabolic singularly perturbed systems of convection–diffusion type. We analyze only the case of a system of two equations where both of them feature the same diffusion parameter. Nevertheless, the method is easily extended to systems with an arbitrary number of equations which have the same diffusion coefficient. The fully discrete numerical method combines the upwind finite difference scheme, to discretize in space, and the fractional implicit Euler method, together with a splitting by directions and components of the reaction–convection–diffusion operator, to discretize in time. Then, if the spatial discretization is defined on an appropriate piecewise uniform Shishkin type mesh, the method is uniformly convergent and it is first order in time and almost first order in space. The use of a fractional step method in combination with the splitting technique to discretize in time, means that only tridiagonal linear systems must be solved at each time level of the discretization. Moreover, we study the order reduction phenomenon associated with the time dependent boundary conditions and we provide a simple way of avoiding it. Some numerical results, which corroborate the theoretical established properties of the method, are shown.

Idioma: Inglés

DOI: 10.1016/j.cam.2018.10.033

Año: 2019

Publicado en: Journal of Computational and Applied Mathematics 354 (2019), 431-444
ISSN: 0377-0427

Factor impacto JCR: 2.037 (2019)

Categ. JCR: MATHEMATICS, APPLIED rank: 43 / 260 = 0.165 (2019) - Q1 - T1

Factor impacto SCIMAGO: 0.87 - Computational Mathematics (Q2) - Applied Mathematics (Q2)

Financiación: info:eu-repo/grantAgreement/ES/DGA-FEDER/E24-17R
Financiación: info:eu-repo/grantAgreement/ES/MINECO/MTM2014-52859-P

Tipo y forma: Article (PostPrint)

Área (Departamento): Área Matemática Aplicada (Dpto. Matemática Aplicada)