@Article{JCM-34-511,
author = {Baccouch , Mahboub },
title = {Optimal a Posteriori Error Estimates of the Local Discontinuous Galerkin Method for Convection-Diffusion Problems in One Space Dimension},
journal = {Journal of Computational Mathematics},
year = {2016},
volume = {34},
number = {5},
pages = {511--531},
abstract = { In this paper, we derive optimal order a posteriori error estimates for the local discontinuous Galerkin (LDG) method for linear convection-diffusion problems in one space dimension. One of the key ingredients in our analysis is the recent optimal superconvergence result in [Y. Yang and C.-W. Shu, J. Comp. Math., 33 (2015), pp. 323-340]. We first prove that the LDG solution and its spatial derivative, respectively, converge in the L²-norm to (p + 1)-degree right and left Radau interpolating polynomials under mesh refinement. The order of convergence is proved to be p + 2, when piecewise polynomials of degree at most p are used. These results are used to show that the leading error terms on each element for the solution and its derivative are proportional to (p+1)-degree right and left Radau polynomials. We further prove that, for smooth solutions, the a posteriori LDG error estimates, which were constructed by the author in an earlier paper, converge, at a fixed time, to the true spatial errors in the L²-norm at O($h^{p+2}$) rate. Finally, we prove that the global effectivity indices in the L²-norm converge to unity at O(h) rate. These results improve upon our previously published work in which the order of convergence for the a posteriori error estimates and the global effectivity index are proved to be p+3/2 and 1/2, respectively. Our proofs are valid for arbitrary regular meshes using P^{p} polynomials with p ≥ 1. Several numerical experiments are performed to validate the theoretical results.},
issn = {1991-7139},
doi = {https://doi.org/10.4208/jcm.1603-m2015-0317},
url = {http://global-sci.org/intro/article_detail/jcm/9810.html}
}