# A Posteriori Modelling-Discretization Error Estimate for Elliptic   Problems with L ^\infty -Coefficients

**Authors:** M. Weymuth, S. Sauter, S. Repin

arXiv: 1704.01890 · 2017-04-07

## TL;DR

This paper extends a posteriori error estimation methods for elliptic PDEs with discontinuous coefficients, allowing for more general coefficient approximations in complex geometries, improving error control in numerical simulations.

## Contribution

It generalizes existing error estimates to handle coefficients with complex discontinuities by using $L^q$-norm bounds, broadening applicability.

## Key findings

- Extended error estimates to $L^q$-norm bounds for coefficients.
- Applicable to problems with curved, complicated interfaces.
- Improved error control for numerical solutions of elliptic problems.

## Abstract

We consider elliptic problems with complicated, discontinuous diffusion tensor $A_{\scriptscriptstyle 0} $. One of the standard approaches to numerically treat such problems is to simplify the coefficient by some approximation, say $A_{\varepsilon}$, and to use standard finite elements. In \cite{Repin2012} a combined modelling-discretization strategy has been proposed which estimates the discretization and modelling errors by a posteriori estimates of functional type. This strategy allows to balance these two errors in a problem adapted way. However, the estimate of the modelling error is derived under the assumption that the difference $A_{\scriptscriptstyle 0} -A_{\varepsilon}$ is bounded in the $L^{\infty}$-norm, which requires that the approximation of the coefficient matches the discontinuities of the original coefficient. Therefore this theory is not appropriate for applications with discontinuous coefficients along \textit{complicated, curved} interfaces. Based on bounds for $A_{\scriptscriptstyle 0} -A_{\varepsilon}$ in an $L^{q}$-norm with $q<\infty$ we generalize the combined modelling-discretization strategy to a larger class of coefficients.

## Full text

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## Figures

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## References

25 references — full list in the complete paper: https://tomesphere.com/paper/1704.01890/full.md

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Source: https://tomesphere.com/paper/1704.01890