On statistical convergence with respect to measure

Abstract

Several notions of convergence for subsets of metric spaces appear in the literature. In this paper, for real valued measurable functions defined on a measurable space (X,M ,μ), we obtain a statistical version of Lebesque’s bounded convergence theorem (when μ (X) < ∞) and examine the validity of the classical theorems of Measure Theory for statistical convergences.