DSpace Repository

Optimal Error Estimates of Two Mixed Finite Element Methods for Parabolic Integro-Differential Equations with Nonsmooth Initial Data

Show simple item record

dc.contributor.author Yadav, Sangita
dc.date.accessioned 2023-08-16T03:55:09Z
dc.date.available 2023-08-16T03:55:09Z
dc.date.issued 2013-05
dc.identifier.uri https://link.springer.com/article/10.1007/s10915-012-9666-8
dc.identifier.uri http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/11398
dc.description.abstract In the first part of this article, a new mixed method is proposed and analyzed for parabolic integro-differential equations (PIDE) with nonsmooth initial data. Compared to the standard mixed method for PIDE, the present method does not bank on a reformulation using a resolvent operator. Based on energy arguments combined with a repeated use of an integral operator and without using parabolic type duality technique, optimal L2-error estimates are derived for semidiscrete approximations, when the initial condition is in L2. Due to the presence of the integral term, it is, further, observed that a negative norm estimate plays a crucial role in our error analysis. Moreover, the proposed analysis follows the spirit of the proof techniques used in deriving optimal error estimates for finite element approximations to PIDE with smooth data and therefore, it unifies both the theories, i.e., one for smooth data and other for nonsmooth data. Finally, we extend the proposed analysis to the standard mixed method for PIDE with rough initial data and provide an optimal error estimate in L2, which improves upon the results available in the literature. en_US
dc.language.iso en en_US
dc.publisher Springer en_US
dc.subject Mathematics en_US
dc.subject Differential equations en_US
dc.subject Parabolic integro-differential equations (PIDE) en_US
dc.title Optimal Error Estimates of Two Mixed Finite Element Methods for Parabolic Integro-Differential Equations with Nonsmooth Initial Data en_US
dc.type Article en_US


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record

Search DSpace


Advanced Search

Browse

My Account