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Approximation of matrix-valued functions via statistical convergence with respect to power series methods

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Abstract

In this paper, we deal with an approximation problem for matrix-valued positive linear operators via statistical convergence with respect to the power series method which is a new statistical type convergence. Then, we present an application that shows our theorem is more applicable than the classical one. We also compute the rates of P-statistical convergence of these operators.

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All authors have contributed sufficiently in the planning, execution, or analysis of this study to be included as authors. All authors read and approved the final manuscript.

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Correspondence to Sevda Yıldız.

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Communicated by Samy Ponnusamy.

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Demirci, K., Yıldız, S. & Çınar, S. Approximation of matrix-valued functions via statistical convergence with respect to power series methods. J Anal 30, 1179–1192 (2022). https://doi.org/10.1007/s41478-022-00400-6

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  • DOI: https://doi.org/10.1007/s41478-022-00400-6

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