English

Negative norm estimates and superconvergence results in Galerkin method for strongly nonlinear parabolic problems

Numerical Analysis 2021-08-04 v1 Numerical Analysis

Abstract

The conforming finite element Galerkin method is applied to discretise in the spatial direction for a class of strongly nonlinear parabolic problems. Using elliptic projection of the associated linearised stationary problem with Gronwall type result, optimal error estimates are derived, when piecewise polynomials of degree r1r\geq 1 are used, which improve upon earlier results of Axelsson [Numer. Math. 28 (1977), pp. 1-14] requiring for 2d r2r\geq 2 and for 3d r3.r\geq 3. Based on quasi-projection technique introduced by Douglas {\it et al.} [Math. Comp.32 (1978),pp. 345-362], superconvergence result for the error between Galerkin approximation and approximation through quasi-projection is established for the semidiscrete Galerkin scheme. Further, {\it a priori} error estimates in Sobolev spaces of negative index are derived. Moreover, in a single space variable, nodal superconvergence results between the true solution and Galerkin approximation are established.

Keywords

Cite

@article{arxiv.2108.01297,
  title  = {Negative norm estimates and superconvergence results in Galerkin method for strongly nonlinear parabolic problems},
  author = {Ambit Kumar Pany and Morrakot Khebchareon and Amiya K. Pani},
  journal= {arXiv preprint arXiv:2108.01297},
  year   = {2021}
}

Comments

To be published in An International Journal computers & mathematics with applications