Measures supported on partly normal numbers
Abstract
A real number is normal with respect to an integer base if its digit expansion in this base is ``equitable'', in the sense that for , every ordered sequence of digits from occurs in the digit expansion of with the same limiting frequency. Borel's classical result \cite{b09} asserts that Lebesgue-almost every number is normal in every base . This three-part article considers sets of partial normality. Given any choice of integer bases , we investigate measure-theoretic properties of the set , whose members are, by definition, normal in the bases of and non-normal in the bases of . A pair of sets is compatible if any is multiplicatively independent. For compatible with , we construct singular probability measures supported on that are both Frostman and Rajchman, extending prior work of Pollington \cite{p81} and Lyons \cite{l86}. The Rajchman property completely answers a question of Kahane and Salem \cite{Kahane-Salem-64}, identifying as a set of multiplicity (in the Fourier-analytic sense) if and only if is compatible. The methodological contribution of the article is the construction of a class of probability measures called skewed measures. These measures depend on a number of parameters that can be independently adjusted to ensure (subsets of) properties such as almost everywhere normality, non-normality, ball conditions and Fourier decay.
Cite
@article{arxiv.2408.03473,
title = {Measures supported on partly normal numbers},
author = {Malabika Pramanik and Junqiang Zhang},
journal= {arXiv preprint arXiv:2408.03473},
year = {2024}
}
Comments
107 pages, 3 figures