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On Generalized Statistical Convergence and Strongly Summable Functions of Weight g

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Mathematical Analysis and Applications in Modeling (ICMAAM 2018)

Part of the book series: Springer Proceedings in Mathematics & Statistics ((PROMS,volume 302))

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Abstract

In this paper, by using a nonnegative real-valued Lebesque measurable function in the interval \(\left( 1,\infty \right) \) we introduce the concepts of strong \((V, \lambda ,p)\)-summability and \(\lambda \)-statistical convergence of weight \(g : [0, \infty ) \rightarrow [0, \infty )\) where \(g(x_n) \rightarrow \infty \) for any sequence \((x_n)\) in \([0, \infty )\) with \(x_n \rightarrow \infty \). We also examine some relations between \(\lambda \)- statistical convergence of weight g and strong \((V,\lambda , p)\)-summability of weight g.

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Correspondence to Ekrem Savaş .

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Savaş, E., Savaş, R. (2020). On Generalized Statistical Convergence and Strongly Summable Functions of Weight g. In: Roy, P., Cao, X., Li, XZ., Das, P., Deo, S. (eds) Mathematical Analysis and Applications in Modeling. ICMAAM 2018. Springer Proceedings in Mathematics & Statistics, vol 302. Springer, Singapore. https://doi.org/10.1007/978-981-15-0422-8_11

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