Piecewise monotone polynomial approximation
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- by D. J. Newman, Eli Passow and Louis Raymon
- Trans. Amer. Math. Soc. 172 (1972), 465-472
- DOI: https://doi.org/10.1090/S0002-9947-1972-0310506-9
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Abstract:
Given a real function $f$ satisfying a Lipschitz condition of order 1 on $[a,b]$, there exists a sequence of approximating polynomials $\{ {P_n}\}$ such that the sequence ${E_n} = ||{P_n} - f||$ (sup norm) has order of magnitude $1/n$ (D. Jackson). We investigate the possibility of selecting polynomials ${P_n}$ having the same local monotonicity as $f$ without affecting the order of magnitude of the error. In particular, we establish that if $f$ has a finite number of maxima and minima on $[a,b]$ and $S$ is a closed subset of $[a,b]$ not containing any of the extreme points of $f$, then there is a sequence of polynomials ${P_n}$ such that ${E_n}$ has order of magnitude $1/n$ and such that for $n$ sufficiently large ${P_n}$ and $f$ have the same monotonicity at each point of $S$. The methods are classical.References
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Bibliographic Information
- © Copyright 1972 American Mathematical Society
- Journal: Trans. Amer. Math. Soc. 172 (1972), 465-472
- MSC: Primary 41A25; Secondary 41A10
- DOI: https://doi.org/10.1090/S0002-9947-1972-0310506-9
- MathSciNet review: 0310506