Abstract
Given scattered data on the real line, Favard [4] constructed an interpolant which depends linearly and locally on the data and whose nth derivative is locally bounded by the nth divided differences of the data times a constant depending only on n. It is shown that the (n —1)th derivative of Favard’s interpolant can be likewise bounded by divided differences, and that one can bound at best two consecutive derivatives of any interpolant by the corresponding divided differences. In this sense, Favard’s univariate interpolant is the best possible. Favard’s result has been extended [8] to a special case in several variables, and here the extent to which this can be repeated in a more general setting is proven exactly.
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Communicated by Peter Oswald.
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Kunkle, T. Favard’s interpolation problem in one or more variables. Constr. Approx. 18, 467–478 (2002). https://doi.org/10.1007/s00365-001-0015-7
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DOI: https://doi.org/10.1007/s00365-001-0015-7