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Weighted Statistical Relative Approximation by Positive Linear Operators

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Operator Theory, Operator Algebras, and Matrix Theory

Part of the book series: Operator Theory: Advances and Applications ((OT,volume 267))

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Abstract

In this paper we define weighted statistical relative uniform convergence by using weighted density and give a Korovkin-type approximation theorem. Then, we construct an example such that our new approximation result works but its weighted statistical and statistical (and classical) cases do not work. We also compute the rates of weighted statistical relative uniform convergence of sequences of positive linear operators.

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Correspondence to Kamil Demirci .

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Demirci, K., Orhan, S., Kolay, B. (2018). Weighted Statistical Relative Approximation by Positive Linear Operators. In: André, C., Bastos, M., Karlovich, A., Silbermann, B., Zaballa, I. (eds) Operator Theory, Operator Algebras, and Matrix Theory. Operator Theory: Advances and Applications, vol 267. Birkhäuser, Cham. https://doi.org/10.1007/978-3-319-72449-2_6

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