English

Enumerating Complexity Revisited

Computational Complexity 2023-12-18 v2 Information Theory math.IT

Abstract

Consider a subset of positive integers SS. In this paper, we reduce the upper bound on the length of a minimum program that enumerates SS in terms of the probability of SS being enumerated by a random program. So far, the best-known upper bound was given by Solovay. Solovay proved that the minimum length of a program enumerating SS is bounded by 33 times minus binary logarithm of the probability that a random program enumerates SS. Later, Vereshchagin showed that the constant can be improved from 33 to 22 for finite sets. By improving the method proposed by Solovay, we demonstrate that any bound for finite sets implies the same bound for infinite sets, modulo logarithmic factors. Thus, the constant can be replaced by 22 for every set SS due to the result of Vereshchagin.

Keywords

Cite

@article{arxiv.2312.04187,
  title  = {Enumerating Complexity Revisited},
  author = {Alexander Shekhovtsov and Georgii Zakharov},
  journal= {arXiv preprint arXiv:2312.04187},
  year   = {2023}
}
R2 v1 2026-06-28T13:43:49.611Z