Symmetric multivariate Chebyshev polynomials

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摘要

We introduce a general method for the symmetrization of univariate polynomials and use it to construct symmetric polynomials in r + 1 variables that generalize the classical Chebyshev polynomials of the first kind. We show that, on the set [−1, 1]r+1, such polynomials provide the best uniform approximations of the complete symmetric polynomials hλ(x0, x1, …, xr) by means of symmetric polynomials of total degree less than n, where λ is a partition of n.

论文关键词:Symmetric polynomials,Multivariate Chebyshev polynomials,Divided differences,Best uniform approximation

论文评审过程:Available online 10 October 2006.

论文官网地址:https://doi.org/10.1016/j.amc.2006.09.003