Supercloseness of continuous interior penalty method for convection–diffusion problems with characteristic layers

Abstract

A singularly perturbed convection–diffusion problem posed on the unit square is solved using a continuous interior penalty (CIP) method with piecewise bilinears on a rectangular Shishkin mesh. A detailed analysis proves a new stability bound for the CIP method, in a norm that is stronger than the usual CIP norm. This bound enables a new supercloseness result for the CIP method: the computed solution is shown to be second order (up to a logarithmic factor) convergent in the new strong norm to the piecewise bilinear interpolant of the true solution. As a corollary one obtains almost optimal order convergence in the L2 norm of the CIP solution to the true solution. Numerical experiments illustrate these theoretical results.