Lacunary statistical convergence and inclusion properties between lacunary methods
The integer sequence \(\theta=\{k_r\}\) is called a lacunary sequence if it is increasing and \(\lim_{r\to \infty} (k_r-k_{r-1})= \infty\). A complex number sequence \(x=\{x_k\}\) is said to be \(s_{\theta}\)-convergent to \(L\) if for each \(\varepsilon >0\) one has \[ \lim_{r\to \infty} \frac 1{k_r-k_{r-1}} \# \{k: k_{r-1}< k \leq k_r\text{ and } |x_k-L|\geq \varepsilon \} = 0. \] Let \(S_{\theta}\) be the family of all sequences \(x\) which are \(s_{\theta}\)-convergent to some \(L\). In this paper, which continues the work of \textit{J. A. Fridy} and \textit{C. Orhan} [Pac. J. Math. 160, No. 1, 43-51 (1993; Zbl 0794.60012)], the author studies inclusion properties between \(S_{\theta}\) and \(S_{\beta}\), where \(\theta\) and \(\beta\) are two arbitrary lacunary sequences.
scientific article; zbMATH DE number 1455553