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Approximation by Polynomials in Sobolev Spaces with Jacobi Weight

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Abstract

Polynomial approximation is studied in the Sobolev space \(W_p^r(w_{\alpha ,\beta })\) that consists of functions whose r-th derivatives are in weighted \(L^p\) space with the Jacobi weight function \(w_{\alpha ,\beta }\). This requires simultaneous approximation of a function and its consecutive derivatives up to s-th order with \(s \le r\). We provide sharp error estimates given in terms of \(E_n(f^{(r)})_{L^p(w_{\alpha ,\beta })}\), the error of best approximation to \(f^{(r)}\) by polynomials in \(L^p(w_{\alpha ,\beta })\), and an explicit construction of the polynomials that approximate simultaneously with the sharp error estimates.

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Acknowledgements

The author thanks Danny Leviatan for his careful readings and corrections. The author was supported in part by NSF Grant DMS-1510296.

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Correspondence to Yuan Xu.

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Communicated by Alex Iosevich.

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Xu, Y. Approximation by Polynomials in Sobolev Spaces with Jacobi Weight. J Fourier Anal Appl 24, 1438–1459 (2018). https://doi.org/10.1007/s00041-017-9581-3

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  • DOI: https://doi.org/10.1007/s00041-017-9581-3

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