TY - JOUR
T1 - An hp-local Discontinuous Galerkin Method for Parabolic Integro-Differential Equations
AU - Pani, Amiya K.
AU - Yadav, Sangita
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledged KAUST grant number(s): KUK-C1-013-04
Acknowledgements: The authors gratefully acknowledge the research support of the Department of Science and Technology, Government of India through project No. 08DST012. They also acknowledge Professor Neela Nataraj for her valuable suggestions and help on the numerical experiments. This publication is also based on work supported in part by Award No. KUK-C1-013-04, made by King Abdullah University of Science and Technology (KAUST). Further, the authors thank both the referees for their valuable comments and suggestions.
This publication acknowledges KAUST support, but has no KAUST affiliated authors.
PY - 2010/6/6
Y1 - 2010/6/6
N2 - In this article, a priori error bounds are derived for an hp-local discontinuous Galerkin (LDG) approximation to a parabolic integro-differential equation. It is shown that error estimates in L 2-norm of the gradient as well as of the potential are optimal in the discretizing parameter h and suboptimal in the degree of polynomial p. Due to the presence of the integral term, an introduction of an expanded mixed type Ritz-Volterra projection helps us to achieve optimal estimates. Further, it is observed that a negative norm estimate of the gradient plays a crucial role in our convergence analysis. As in the elliptic case, similar results on order of convergence are established for the semidiscrete method after suitably modifying the numerical fluxes. The optimality of these theoretical results is tested in a series of numerical experiments on two dimensional domains. © 2010 Springer Science+Business Media, LLC.
AB - In this article, a priori error bounds are derived for an hp-local discontinuous Galerkin (LDG) approximation to a parabolic integro-differential equation. It is shown that error estimates in L 2-norm of the gradient as well as of the potential are optimal in the discretizing parameter h and suboptimal in the degree of polynomial p. Due to the presence of the integral term, an introduction of an expanded mixed type Ritz-Volterra projection helps us to achieve optimal estimates. Further, it is observed that a negative norm estimate of the gradient plays a crucial role in our convergence analysis. As in the elliptic case, similar results on order of convergence are established for the semidiscrete method after suitably modifying the numerical fluxes. The optimality of these theoretical results is tested in a series of numerical experiments on two dimensional domains. © 2010 Springer Science+Business Media, LLC.
UR - http://hdl.handle.net/10754/597526
UR - http://link.springer.com/10.1007/s10915-010-9384-z
UR - http://www.scopus.com/inward/record.url?scp=78651430756&partnerID=8YFLogxK
U2 - 10.1007/s10915-010-9384-z
DO - 10.1007/s10915-010-9384-z
M3 - Article
SN - 0885-7474
VL - 46
SP - 71
EP - 99
JO - Journal of Scientific Computing
JF - Journal of Scientific Computing
IS - 1
ER -