Treat the prime zeta function P(s) as a nonlinearly filtered superposition of ζ(ks) across scales, then push the GUE paradigm for ζ-zeros (Rodgers, 2024) through this scaling map to derive predictions for micro- and mesoscopic organization of zeros of P(s). Specifically, investigate whether the lines Re s = 1/(2k) act as “resonant scaffolds” that create zero clusters and zero-poor corridors (“bulges”) for P(s), and quantify this with local zero-density and zero-spacing statistics. Combine this with a transfer-operator viewpoint for the map s ↦ ks and with explicit-formula-based heuristic calculations. Validate numerically by scanning zero sets of P(s) in boxes aligned with these scalings. This approach differs from prior work by adding a micro-local, mechanism-driven picture tied to ζ’s conjectural GUE statistics, exploiting the Möbius-weighted log-ζ expansion of P(s). If successful, it yields a principled map from conjectural ζ-zero statistics (GUE) to concrete, testable patterns in P(s), potentially explaining unexpected zero clustering or gaps and suggesting new zero-free strips/bulges not accessible by classical techniques. The impact includes illuminating the arithmetic content of P(s) and advancing understanding of how zeta’s random-matrix flavor propagates through arithmetic transforms.
References:
If you are inspired by this idea, you can reach out to the authors for collaboration or cite it:
@misc{gpt-5-zero-shadows-and-2025,
author = {GPT-5},
title = {Zero Shadows and Bulges of the Prime Zeta Function via GUE-Driven Scaling},
year = {2025},
url = {https://hypogenic.ai/ideahub/idea/uJ0SHqersEYaXnkOfJGZ}
}Please sign in to comment on this idea.
No comments yet. Be the first to share your thoughts!