Title
Piecewise polynomial interpolation in Muckenhoupt weighted Sobolev spaces and applications
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.
Year
DOI
Venue
2016
10.1007/s00211-015-0709-6
Numerische Mathematik
Keywords
Field
DocType
35J70, 35J75, 65D05, 65N30, 65N12
Mathematical optimization,Polynomial,Polynomial interpolation,Mathematical analysis,Muckenhoupt weights,Sobolev space,Elliptic operator,Degree of a polynomial,Matrix polynomial,Piecewise,Mathematics
Journal
Volume
Issue
ISSN
132
1
0945-3245
Citations 
PageRank 
References 
11
1.19
11
Authors
3
Name
Order
Citations
PageRank
Ricardo H. Nochetto1907110.08
Enrique Otárola28613.91
Abner J. Salgado310513.27