NANADSMar 10, 2009

A Parameter-Uniform Finite Difference Method for Multiscale Singularly Perturbed Linear Dynamical Systems

arXiv:0903.17951.211 citations
Originality Synthesis-oriented
AI Analysis

Provides a parameter-uniform numerical method for a class of multiscale ODEs, which is incremental for the numerical analysis community.

The paper develops a finite difference method for multiscale singularly perturbed ODEs with distinct small parameters, proving uniform first-order convergence in all parameters.

A system of singularly perturbed ordinary differential equations of first order with given initial conditions is considered. The leading term of each equation is multiplied by a small positive parameter. These parameters are assumed to be distinct and they determine the different scales in the solution to this problem. A Shishkin piecewise--uniform mesh is constructed, which is used, in conjunction with a classical finite difference discretization, to form a new numerical method for solving this problem. It is proved that the numerical approximations obtained from this method are essentially first order convergent uniformly in all of the parameters.

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