LEBESGUE密度与统计收敛

IF 0.1 Q4 MATHEMATICS Real Analysis Exchange Pub Date : 2021-11-01 DOI:10.14321/REALANALEXCH.46.2.0495
Marek Bienias, S. Gła̧b
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引用次数: 0

摘要

本文将密度点的概念推广到理想收敛框架。对于理想I⊆P(ℕ) (与Fin⊆I),Lebesgue可测集A \8838ℝ 我们引入了a关于I的密度点的定义;我们证明了经典方法符合这一推广(定理4);我们构造了一个Cantorlike集合族,表明Lebesgue密度定理不能在这个方向上得到最大改进(定理8)。
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LEBESGUE DENSITY AND STATISTICAL CONVERGENCE
The paper presents a generalization of the density point’s notion to the ideal-convergence framework. For an ideal I⊆P(ℕ) (with Fin⊆I), Lebesgue measurable set A⊆ℝ we introduce a definition of a density point of A with respect to I; we prove that the classical approach fits into this generalization (Theorem 4); we construct a family of Cantorlike sets showing that Lebesgue Density Theorem cannot be maximally improved in this direction (Theorem 8).
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来源期刊
Real Analysis Exchange
Real Analysis Exchange MATHEMATICS-
CiteScore
0.40
自引率
50.00%
发文量
15
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