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May 1, 20260 citationsOpen Access

Two-Step Bad Sets and Long-Window Singular-Series Partitions in a Largest-Prime-Factor Dynamical System

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CHChaoyu HuJCJizheng Chen

Key Points

  • This research aims to establish two static sieve estimates within a largest-prime-factor dynamical system.
  • Presents two-step delta-square bad-set upper bound using a Selberg upper-bound sieve.
  • Introduces long-window singular-series partition estimate for reduced families with restricted cofactors.
  • A focus is placed on parameterized regular thresholds.
  • Establishes an upper bound for the two-step delta-square bad set with fixed cofactors.
  • Produces a singular-series partition estimate indicating regularity in reduced families under strict conditions.

Abstract

This preprint proves two static sieve estimates arising from a largest-prime-factor dynamical system. The first is a two-step delta-square bad-set upper bound obtained by fixing two successive cofactors and applying a Selberg upper-bound sieve to a three-linear-form normal form. The second is a regular long-window singular-series partition estimate for content-free reduced families, with all cofactors restricted above a parameterized regular threshold. The paper does not claim tightness for random initial values or a full low-cofactor-layer theorem.

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Cite This Study

Hu et al. (2026) studied this question.

synapsesocial.com/papers/69f443e8967e944ac556703fhttps://doi.org/10.5281/zenodo.19873683
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