Score: 0

Finite State Dimension and The Davenport Erdős Theorem

Published: June 3, 2025 | arXiv ID: 2506.02332v1

By: Joe Clanin, Matthew Rayman

Potential Business Impact:

Makes number sequences have different "randomness" levels.

Business Areas:
A/B Testing Data and Analytics

A 1952 result of Davenport and Erd\H{o}s states that if $p$ is an integer-valued polynomial, then the real number $0.p(1)p(2)p(3)\dots$ is Borel normal in base ten. A later result of Nakai and Shiokawa extends this result to polynomials with arbitrary real coefficients and all bases $b\geq 2$. It is well-known that finite-state dimension, a finite-state effectivization of the classical Hausdorff dimension, characterizes the Borel normal sequences as precisely those sequences of finite-state dimension 1. For an infinite set of natural numbers, and a base $b\geq 2$, the base $b$ Copeland-Erd\H{o}s sequence of $A$, $CE_b(A)$, is the infinite sequence obtained by concatenating the base $b$ expressions of the numbers in $A$ in increasing order. In this work we investigate the possible relationships between the finite-state dimensions of $CE_b(A)$ and $CE_b(p(A))$ where $p$ is a polynomial. We show that, if the polynomial is permitted to have arbitrary real coefficients, then for any $s,s^\prime$ in the unit interval, there is a set $A$ of natural numbers and a linear polynomial $p$ so that the finite-state dimensions of $CE_b(A)$ and $CE_b(p(A))$ are $s$ and $s^\prime$ respectively. We also demonstrate that linear polynomials with rational coefficients do not change the finite-state dimension of any Copeland-Erd\H{o}s sequence, but there exist polynomials with rational coefficients of every larger integer degree that change the finite-state dimension of some sequence. To prove our main results, we develop techniques involving taking concatenated prefixes of a sequence as well as inserting a density zero set of strings into a sequence that may be of independent interest.

Country of Origin
🇺🇸 United States

Page Count
14 pages

Category
Computer Science:
Information Theory