A Robust ADI-Based Direct Discontinuous Galerkin Method for Two-Dimensional Singularly Perturbed Parabolic PDEs

This study proposes two-dimensional one-parameter singularly perturbed parabolic problems and develops an operator-splitting direct discontinuous Galerkin (DDG) method for their numerical solution. To improve computational efficiency, an alternating direction implicit (ADI) splitting approach decomposes the original two-dimensional problem into two separate one-dimensional subproblems. The spatial discretization is performed using the DDG method on a piecewise-uniform Shishkin mesh, enabling accurate resolution of the sharp boundary layers that arise in singularly perturbed problems (SPPs). For the temporal discretization is carried out with the backward Euler scheme to ensure robustness and stability. The theoretical analysis establishes an optimal convergence rate of order $k$ in the spatial discretization, where $k$ denotes the degree of the polynomial basis functions, and $(Δt)$-order convergence in temporal dimensions. We prove that the resulting fully discrete scheme is consistent, stable, and convergent. Numerical experiments confirm the theoretical results and demonstrate the effectiveness and robustness of the proposed method.

Authors

Publication Details

Journal
arXiv (Cornell University)
Published
2026-10-26
DOI
https://doi.org/10.48550/arxiv.2610.35343
Primary Topic
Differential Equations and Numerical Methods
Type
preprint
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A Robust ADI-Based Direct Discontinuous Galerkin Method for Two-Dimensional Singularly Perturbed Parabolic PDEs

Gautam Singh, Vijay Kumar
arXiv (Cornell University)
Differential Equations and Numerical Methods
preprint

A Robust ADI-Based Direct Discontinuous Galerkin Method for Two-Dimensional Singularly Perturbed Parabolic PDEs

Gautam Singh, Vijay Kumar
preprint en

Abstract

This study proposes two-dimensional one-parameter singularly perturbed parabolic problems and develops an operator-splitting direct discontinuous Galerkin (DDG) method for their numerical solution. To improve computational efficiency, an alternating direction implicit (ADI) splitting approach decomposes the original two-dimensional problem into two separate one-dimensional subproblems. The spatial discretization is performed using the DDG method on a piecewise-uniform Shishkin mesh, enabling accurate resolution of the sharp boundary layers that arise in singularly perturbed problems (SPPs). For the temporal discretization is carried out with the backward Euler scheme to ensure robustness and stability. The theoretical analysis establishes an optimal convergence rate of order $k$ in the spatial discretization, where $k$ denotes the degree of the polynomial basis functions, and $(Δt)$-order convergence in temporal dimensions. We prove that the resulting fully discrete scheme is consistent, stable, and convergent. Numerical experiments confirm the theoretical results and demonstrate the effectiveness and robustness of the proposed method.

arXiv (Cornell University)
Differential Equations and Numerical Methods
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