Advances in Difference Equations
Volume 2007 (2007), Article ID 12303, 12 pages
doi:10.1155/2007/12303
Abstract
The numerical solution of partial differential equations with finite differences
mimetic methods that satisfy properties of the continuum
differential operators and mimic discrete versions of appropriate integral identities
is more likely to produce better approximations. Recently, one of the authors
developed a systematic approach to obtain mimetic finite difference discretizations for divergence
and gradient operators, which achieves the same order of accuracy on the boundary and inner grid
points. This paper uses the second-order version of those operators to develop a new mimetic finite
difference method for the steady-state diffusion equation. A complete theoretical and numerical
analysis of this new method is presented, including an original and nonstandard proof of the quadratic
convergence rate of this new method. The numerical results agree in all cases with our theoretical
analysis, providing strong evidence that the new method is a better choice than the standard finite
difference method.