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Statistical Convergence and Measure Convergence Generated by a Single Statistical Measure 被引量:1

Statistical Convergence and Measure Convergence Generated by a Single Statistical Measure
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摘要 The purpose of this paper is to discuss those kinds of statistical convergence, in terms of F , or ideal Z-convergence, which are equivalent to measure convergence defined by a single statistical measure. We prove a number of characterizations of a single statistical measure μ-convergence by using properties of its corresponding quotient Banach space l∞/l∞ (Iμ). We also show that the usual sequential convergence is not equivalent to a single measure convergence. The purpose of this paper is to discuss those kinds of statistical convergence, in terms of F , or ideal Z-convergence, which are equivalent to measure convergence defined by a single statistical measure. We prove a number of characterizations of a single statistical measure μ-convergence by using properties of its corresponding quotient Banach space l∞/l∞ (Iμ). We also show that the usual sequential convergence is not equivalent to a single measure convergence.
出处 《Acta Mathematica Sinica,English Series》 SCIE CSCD 2016年第6期668-682,共15页 数学学报(英文版)
基金 supported by NSFC(Grant No.11371296)
关键词 Statistical measure ULTRAFILTER extreme points statistical convergence Statistical measure, ultrafilter, extreme points, statistical convergence
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