I–Convergence of Arithmetical Functions

V. Baláž, T. Visnyai
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引用次数: 4

Abstract

Let n > 1 be an integer with its canonical representation, n = p 1 α 1 p 2 α 2 ⋯ p k α k . Put H n = max α 1 … α k , h n = min α 1 … α k , ω n = k , Ω n = α 1 + ⋯ + α k , f n = ∏ d ∣ n d and f ∗ n = f n n . Many authors deal with the statistical convergence of these arithmetical functions. For instance, the notion of normal order is defined by means of statistical convergence. The statistical convergence is equivalent with I d –convergence, where I d is the ideal of all subsets of positive integers having the asymptotic density zero. In this part, we will study I –convergence of the well-known arithmetical functions, where I = I c q = A ⊂ N : ∑ a ∈ A a − q < + ∞ is an admissible ideal on N such that for q ∈ 0 1 we have I c q ⊊ I d , thus I c q –convergence is stronger than the statistical convergence ( I d –convergence).
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算术函数的收敛性
它让n > 1的整数一起canonical representation, n = p p p 1αα2⋯k kα。普特H n = maxα1 ... H n = minα1 ... kα,αkωn = k,⋯Ωn =α1 +αk, n =∏d∣d和f f f∗n = n n。许多权威都在处理这些计算功能的统计结果。例如,正常秩序的定义是通过统计收敛的手段。统计结果与I - converity相协调,在这种情况下,所有积极资产的基层资产的理想体现了对极低犯罪率的讽刺。在这一部分,我们将研究我——集的《well-known arithmetical functions,哪里I = I c q = A⊂N:∑A∈A + A−q <∞是an admissible理想为q∈N如此那0 1上我们有c智商⊊华盛顿,因此我智商——集的比强是神经紊乱的(I d—集的)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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