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A tyro's approach to the tilted sieve: beyond the Erdős--Rankin bound
Abstract
We give an elementary exposition of the tilted sieve introduced by GPT-5.6~Sol \cite{GPT2026}, showing that one residue class modulo each prime p ≤ x can cover an interval of length ≫ (xlog x)/((log2 x)log3 x). This improves the classical Erdős--Rankin bound by a factor of (log2 x)/(log3 x)2. Although weaker than the strongest known bounds, it shows what the tilt and its associated covering of composite survivors achieve without Maynard sieve weights or a hypergraph covering theorem. The proof uses the prime number theorem, Mertens' reciprocal-prime formula, and elementary probability. The appendices provide a historical survey and self-contained proofs of the classical Erdős--Rankin bound.
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BibTeX
@misc{freiberg2026tyros,
title = {{A tyro's approach to the tilted sieve: beyond the Erdős--Rankin bound}},
author = {Tristan Freiberg},
howpublished = {arXiv},
year = {2026},
month = sep,
doi = {10.48550/arxiv.2609.28253},
eprint = {2609.28253},
archivePrefix = {arXiv},
url = {https://arxiv.org/abs/2609.28253},
}
RIS
TY - UNPB
TI - A tyro's approach to the tilted sieve: beyond the Erdős--Rankin bound
AU - Tristan Freiberg
PY - 2026
DA - 2026/09/23
PB - arXiv
DO - 10.48550/arxiv.2609.28253
UR - https://arxiv.org/abs/2609.28253
AB - We give an elementary exposition of the tilted sieve introduced by GPT-5.6~Sol \cite{GPT2026}, showing that one residue class modulo each prime p ≤ x can cover an interval of length ≫ (xlog x)/((log_2 x)log_3 x). This improves the classical Erdős--Rankin bound by a factor of (log_2 x)/(log_3 x)^2. Although weaker than the strongest known bounds, it shows what the tilt and its associated covering of composite survivors achieve without Maynard sieve weights or a hypergraph covering theorem. The proof uses the prime number theorem, Mertens' reciprocal-prime formula, and elementary probability. The appendices provide a historical survey and self-contained proofs of the classical Erdős--Rankin bound.
ER -