Article
A Typical Number Is Extremely Non-Normal
Authors
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
A. Stylianou, “A typical number is extremely non-normal,” Uniform Distribution Theory, vol. 17, no. 1, pp. 1–12, 2022, doi: 10.2478/udt-2022-0001.
Stylianou A. A typical number is extremely non-normal. Uniform Distribution Theory. 2022;17(1):1–12. doi:10.2478/udt-2022-0001.
Stylianou, A. (2022), ‘A typical number is extremely non-normal’, Uniform Distribution Theory, 17(1), pp. 1–12. Available at: https://doi.org/10.2478/udt-2022-0001.
Stylianou, Anastasios. “A Typical Number Is Extremely Non-normal.” Uniform Distribution Theory, vol. 17, no. 1, 2022, pp. 1–12. https://doi.org/10.2478/udt-2022-0001.
Stylianou, Anastasios. “A Typical Number Is Extremely Non-normal.” Uniform Distribution Theory 17, no. 1 (2022): 1–12. https://doi.org/10.2478/udt-2022-0001.
Export citation
Published by: Engineering Journals


