An interpolation error estimate in based on the anisotropic measures of higher order derivatives

Author:
Weiming Cao

Journal:
Math. Comp. **77** (2008), 265-286

MSC (2000):
Primary 65D05, 65L50, 65N15, 65N50

Published electronically:
April 17, 2007

MathSciNet review:
2353953

Full-text PDF Free Access

Abstract | References | Similar Articles | Additional Information

Abstract: In this paper, we introduce the magnitude, orientation, and anisotropic ratio for the higher order derivative (with ) of a function to characterize its anisotropic behavior. The magnitude is equivalent to its usual Euclidean norm. The orientation is the direction along which the absolute value of the -th directional derivative is about the smallest, while along its perpendicular direction it is about the largest. The anisotropic ratio measures the strength of the anisotropic behavior of . These quantities are invariant under translation and rotation of the independent variables. They correspond to the area, orientation, and aspect ratio for triangular elements. Based on these measures, we derive an anisotropic error estimate for the piecewise polynomial interpolation over a family of triangulations that are quasi-uniform under a given Riemannian metric. Among the meshes of a fixed number of elements it is identified that the interpolation error is nearly the minimum on the one in which all the elements are aligned with the orientation of , their aspect ratios are about the anisotropic ratio of , and their areas make the error evenly distributed over every element.

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Additional Information

**Weiming Cao**

Affiliation:
Department of Mathematics, University of Texas at San Antonio, San Antonio, Texas 78249

Email:
wcao@math.utsa.edu

DOI:
https://doi.org/10.1090/S0025-5718-07-01981-3

Keywords:
Interpolation error,
anisotropic mesh,
anisotropic measure,
aspect ratio,
mesh alignment,
mesh metric

Received by editor(s):
June 24, 2005

Received by editor(s) in revised form:
October 11, 2006

Published electronically:
April 17, 2007

Additional Notes:
This work was supported in part by NSF grant DMS-0209313

Article copyright:
© Copyright 2007
American Mathematical Society

The copyright for this article reverts to public domain 28 years after publication.