Large prime gaps and probabilistic models
Abstract
We introduce a new probabilistic model of the primes consisting of integers that survive the sieving process when a random residue class is selected for every prime modulus below a specific bound. From a rigorous analysis of this model, we obtain heuristic upper and lower bounds for the size of the largest prime gap in the interval . Our results are stated in terms of the extremal bounds in the interval sieve problem. The same methods also allow us to rigorously relate the validity of the Hardy-Littlewood conjectures for an arbitrary set (such as the actual primes) to lower bounds for the largest gaps within that set.
Cite
@article{arxiv.1908.08613,
title = {Large prime gaps and probabilistic models},
author = {William Banks and Kevin Ford and Terence Tao},
journal= {arXiv preprint arXiv:1908.08613},
year = {2025}
}
Comments
A minor glitch in the proof of Lemma 6.3 is fixed, giving a slightly worse error term (changes in red). This does not affect any theorems. References updated