High order parameter-robust numerical method for a system of (M>=2) coupled singularly perturbed parabolic reaction-diffusion problems
Mukesh Kumar, S. Chandra Sekhara Rao

TL;DR
This paper introduces a high-order, parameter-robust numerical method for solving coupled singularly perturbed parabolic reaction-diffusion systems, achieving high accuracy uniformly with respect to the small perturbation parameter.
Contribution
It develops a second-order in time and nearly fourth-order in space numerical scheme using Crank-Nicolson and hybrid finite differences on a Shishkin mesh, proven to be psilon-uniform and validated numerically.
Findings
Method is psilon-uniform and second order in time.
Achieves almost fourth order accuracy in space.
Numerical results confirm theoretical convergence and practical robustness.
Abstract
We present a high order parameter-robust numerical method for a system of (M>=2) coupled singularly perturbed parabolic reaction-diffusion problems. A small perturbation parameter {\epsilon} is multiplied with the second order spatial derivatives in all the equations. The parabolic boundary layer appears in the solution of the problem when the perturbation parameter {\epsilon} tends to zero. To obtain a high order approximation to the solution of this problem, we propose a numerical method that employs the Crank-Nicolson method on an uniform mesh in time direction, together with a hybrid finite difference scheme on a generalized Shishkin mesh in spatial direction. We prove that the resulting method is parameter-robust or \epsilon-uniform of second order in time and almost fourth order in spatial variable, if the discretization parameters satisfy a non-restrictive relation. Numerical…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsDifferential Equations and Numerical Methods · Differential Equations and Boundary Problems · Material Science and Thermodynamics
