Abstract
We develop a constructive piecewise polynomial approximation theory in weighted Sobolev spaces with Muckenhoupt weights for any polynomial degree. The main ingredients to derive optimal error estimates for an averaged Taylor polynomial are a suitable weighted Poincaré inequality, a cancellation property and a simple induction argument. We also construct a quasi-interpolation operator, built on local averages over stars, which is well defined for functions in \(L^1\). We derive optimal error estimates for any polynomial degree on simplicial shape regular meshes. On rectangular meshes, these estimates are valid under the condition that neighboring elements have comparable size, which yields optimal anisotropic error estimates over \(n\)-rectangular domains. The interpolation theory extends to cases when the error and function regularity require different weights. We conclude with three applications: nonuniform elliptic boundary value problems, elliptic problems with singular sources, and fractional powers of elliptic operators.
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Acknowledgments
We dedicate this paper to R.G. Durán, whose work at the intersection of real and numerical analysis has been inspirational to us.
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R. H. Nochetto has been partially supported by NSF Grants DMS-1109325 and DMS-1411808.
E. Otárola has been partially supported by the Conicyt-Fulbright Fellowship Beca Igualdad de Oportunidades and NSF Grants DMS-1109325 and DMS-1411808.
A. J. Salgado has been partially supported by NSF Grant DMS-1418784.
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Nochetto, R.H., Otárola, E. & Salgado, A.J. Piecewise polynomial interpolation in Muckenhoupt weighted Sobolev spaces and applications. Numer. Math. 132, 85–130 (2016). https://doi.org/10.1007/s00211-015-0709-6
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DOI: https://doi.org/10.1007/s00211-015-0709-6