一个典型的数字是极不正常的

A. Stylianou
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引用次数: 2

摘要

固定一个正整数N≥2。对于实数x∈[0,1],数字i∈{0,1,…, N−1},设Πi(x, N)表示x的前N个进进数中数字i的频率。众所周知,对于一个典型的(在Baire意义上)x∈[0,1],数字频率序列发散为N→∞。本文证明了对于任意正则线性变换T,存在点x∈[0,1]的残差集,使得序列(Πi(x, n))n的T平均版本也显著发散。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A Typical Number is Extremely Non-Normal
Abstract Fix a positive integer N ≥ 2. For a real number x ∈ [0, 1] and a digit i ∈ {0, 1,..., N − 1}, let Πi(x, n) denote the frequency of the digit i among the first nN-adic digits of x. It is well-known that for a typical (in the sense of Baire) x ∈ [0, 1], the sequence of digit frequencies diverges as n →∞. In this paper we show that for any regular linear transformation T there exists a residual set of points x ∈ [0,1] such that the T -averaged version of the sequence (Πi(x, n))n also diverges significantly.
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