通过模函数序列的漆合统计收敛性

Erdal Bayram, Çiğdem Bektaş
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引用次数: 0

摘要

修改密度函数的定义是概括统计收敛性的一种方法。在本研究中,我们使用模函数序列和阶为 $\alpha \in \left( 0,1\right] $ 的函数来引入新的密度。基于这个密度框架,我们定义了模函数序列 $(f_k)$ 的阶为 $\alpha $ 的强 $(f_k)$ 周期可求和性和阶为 $\alpha $ 的 $(f_k)$ 周期统计收敛性。这一概念介于通常收敛与 lacunary 序列统计收敛之间。我们还在研究中建立了这两个概念之间的包含定理和关系。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Lacunary statistically convergence via modulus function sequences
Modifying the definition of density functions is one method used to generalise statistical convergence. In the present study, we use sequences of modulus functions and order $\alpha \in \left( 0,1\right] $ to introduce a new density. Based on this density framework, we define strong $(f_k)$-lacunary summability of order $\alpha $ and $(f_k)$-lacunary statistical convergence of order $\alpha $ for a sequence of modulus functions $(f_k)$. This concept holds an intermediate position between the usual convergence and the statistical convergence for lacunary sequences. We also establish inclusion theorems and relations between these two concepts in the study.
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