Volume 36, Issue 5 pp. 972-997
RESEARCH ARTICLE

Improved L2 and H1 error estimates for the Hessian discretization method

Devika Shylaja

Corresponding Author

Devika Shylaja

IITB-Monash Research Academy, Indian Institute of Technology Bombay, Mumbai, India

Correspondence

Devika Shylaja, IITB-Monash Research Academy, Indian Institute of Technology Bombay, Powai, Mumbai 400076, India.

Email: [email protected]

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First published: 29 January 2020
Citations: 2

Abstract

The Hessian discretization method (HDM) for fourth-order linear elliptic equations provides a unified convergence analysis framework based on three properties namely coercivity, consistency, and limit-conformity. Some examples that fit in this approach include conforming and nonconforming finite element methods (ncFEMs), finite volume methods (FVMs) and methods based on gradient recovery operators. A generic error estimate has been established in L2, H1, and H2-like norms in literature. In this paper, we establish improved L2 and H1 error estimates in the framework of HDM and illustrate it on various schemes. Since an improved L2 estimate is not expected in general for FVM, a modified FVM is designed by changing the quadrature of the source term and a superconvergence result is proved for this modified FVM. In addition to the Adini ncFEM, in this paper, we show that the Morley ncFEM is an example of HDM. Numerical results that justify the theoretical results are also presented.

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