Statistical weighted (Nλ,p,q)(Eλ,1)A-summability with application to Korovkin's type approximation theorem

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Abstract

In this paper, we first introduce the notion of statistical weighted (Nλ,p,q)(Eλ,1) A-summability and then investigate its relation with the weighted (Nλ,p,q)(Eλ,1)A-statistical convergence. We also study the weighted (Nλ,p,q)(Eλ,1)-regular matrix and find the conditions for the matrix A to be weighted (Nλ,p,q)(Eλ,1)-regular. Furthermore, as an application of the results presented in this paper, we prove a Korovkin type approximation theorem involving the statistical weighted (Nλ,p,q)(Eλ,1) A-summability, which we have introduced in this paper. Relevant connections of the proposed investigation with other recent developments on the subject are also indicated.

Section snippets

Introduction and motivation

A new type of convergence, which is known as statistical convergence, was first introduced by Fast [14] and Zygmund [41] (see also [42]). It was later studied by Schoenberg [36], Šalát [35], Fridy [15] and Connor [7]. In the year 2013, Belen and Mohiuddine [2] presented a generalization of this notion, which was subsequently modified by Ghosal [16]. Various applications and other related developments based upon the notion of statistical convergence can be found in the works by (for example)

Statistical weighted (Nλ,p,q)(Eλ,1)A-summability

In this section, we use the notion of weighted Nörlund-Euler λ-statistical convergence which was given by Loku and Aljimi [23] as follows.

Let λ=(λn) be a non-decreasing sequence of positive numbers tending to ∞ such thatλn+1λn+1(nN;λ1=1). The collection of all such sequences will be denoted here by Δ.

We denote by In the closed interval given byIn=[nλn+1,n]. We also define the intervals Ik,1 and Ik,m1 byIk,1=[kλk+1,] andIk,m1=[kλk+m1,], respectively.

Let (pn) and (qn) be the two

Application to approximation theorems

In this section, we apply the AS(Nλ,Eλ)-summability in order to establish a Korovkin type approximation theorem. The study of this class of widely- and extensively-investigated approximation theorems was initiated by Korovkin [22], so they are called Korovkin's type approximation theorems. In recent years, many researchers investigated and extended this kind of approximation theorems by using various test functions in several different fields of mathematics. Statistical version of such

Conclusion

In our present investigation, we have first introduced a (presumably new) notion of statistical weighted (Nλ,p,q)(Eλ,1) A-summability. Then, by using this notion, we have investigated its relation with the weighted (Nλ,p,q) (Eλ,1)A-statistical convergence. We have also studied the weighted (Nλ,p,q) (Eλ,1)-regular matrix and derived the conditions for the matrix A to be weighted (Nλ,p,q)(Eλ,1)-regular. As an application of our findings, we have established a Korovkin type approximation theorem

Declaration of Competing Interest

The authors declare that they have no conflicts of interest.

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