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\(\sin (\omega x)\) Can Approximate Almost Every Finite Set of Samples

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Constructive Approximation Aims and scope

Abstract

Consider a set of points \((x_1,y_1),\ldots ,(x_n,y_n)\) with distinct \(0 \le x_i \le 1\) and with \(-1 < y_i < 1\). The question of whether the function \(y = \sin (\omega x)\) can approximate these points arbitrarily closely for a suitable choice of \(\omega \) is considered. It is shown that such approximation is possible if and only if the set \(\{x_1,\ldots ,x_n\}\) is linearly independent over the rationals. Furthermore, a constructive sufficient condition for such approximation is provided. The results provide a sort of counterpoint to the classical sampling theorem for bandlimited signals. They also provide a stronger statement than the well-known result that the collection of functions \(\{\sin (\omega x) : \omega < \infty \}\) has infinite pseudo-dimension.

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Acknowledgments

We would like to thank Elliott Sober and Casey Helgeson for helpful discussions. We would like to thank the anonymous referee for several helpful remarks and for reorganizing the proof of the converse in Theorem 1. This research was supported in part by the Center for Science of Information (CSoI), an NSF Science and Technology Center, under grant agreement CCF-0939370.

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Correspondence to Hariharan Narayanan.

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Communicated by Vladimir N. Temlyakov.

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Harman, G.H., Kulkarni, S.R. & Narayanan, H. \(\sin (\omega x)\) Can Approximate Almost Every Finite Set of Samples. Constr Approx 42, 303–311 (2015). https://doi.org/10.1007/s00365-015-9296-0

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  • DOI: https://doi.org/10.1007/s00365-015-9296-0

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