Generalized equi‐statistical convergence of positive linear operators and associated approximation theorems

Generalized equi‐statistical convergence of positive linear operators and associated approximation theorems

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Article ID: iaor20122911
Volume: 55
Issue: 9-10
Start Page Number: 2040
End Page Number: 2051
Publication Date: May 2012
Journal: Mathematical and Computer Modelling
Authors: , ,
Keywords: statistics: inference
Abstract:

The concepts of equi‐statistical convergence, statistical pointwise convergence and statistical uniform convergence for sequences of functions were introduced recently by Balcerzak et al. [M. Balcerzak, K. Dems, A. Komisarski, Statistical convergence and ideal convergence for sequences of functions, J. Math. Anal. Appl. 328 (2007) 715–729]. In this paper, we use the notion of λ equ1‐statistical convergence in order to generalize these concepts. We establish some inclusion relations between them. We apply our new notion of λ equ2‐equi‐statistical convergence to prove a Korovkin type approximation theorem and we show that our theorem is a non‐trivial extension of some well‐known Korovkin type approximation theorems. Finally, we prove a Voronovskaja type approximation theorem via the concept of λ equ3‐equi‐statistical convergence. Some interesting examples are also displayed here in support of our definitions and results.

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