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Constrained Approximation with Jacobi Weights
Published online by Cambridge University Press: 20 November 2018
Abstract
In this paper, we prove that for
$\ell \,=\,1$
or 2 the rate of best
$\ell $
- monotone polynomial approximation in the
${{L}_{p}}$
norm
$\left( 1\,\le \,p\,\le \,\infty \right)$
weighted by the Jacobi weight
${{w}_{\alpha ,\,\beta }}\left( x \right)\,:=\,{{\left( 1\,+\,x \right)}^{\alpha }}{{\left( 1\,-\,x \right)}^{\beta }}$
with
$\alpha ,\,\beta \,>\,-1/p$
if
$p\,<\,\infty $
, or
$\alpha ,\,\beta \,\ge \,0$
if
$p\,=\,\infty $
, is bounded by an appropriate
$\left( \ell \,+\,1 \right)$
-st modulus of smoothness with the same weight, and that this rate cannot be bounded by the
$\left( \ell \,+\,2 \right)$
-nd modulus. Related results on constrained weighted spline approximation and applications of our estimates are also given.
Keywords
- Type
- Research Article
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- Copyright
- Copyright © Canadian Mathematical Society 2016
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