Uniform Distribution Theory
Journal license

Journal

Uniform Distribution Theory


Volume
& Issue

Volume 17, Issue 1


Published
on

December 23, 2021


Pages

1-12


DOI

Article

A Typical Number Is Extremely Non-Normal

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Authors

Anastasios Stylianou Affiliation:
Institute of Mathematics University of Warwick Zeeman Building CV4 7HP Coventry UNITED KINGDOM


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 n N-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 aresidualset of points x ∈ [0, 1] such that the T -averaged version of the sequence Πi(x, n) n also diverges significantly.


Keywords

normal numbers, digit frequencies, regular linear transformations.


Citation

Stylianou, A. (2022). A typical number is extremely non-normal. Uniform Distribution Theory, 17(1), 1–12. https://doi.org/10.2478/udt-2022-0001

Published by: Engineering Journals

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