Consider the measure μ = ∑{p} w(p) δ{log p} with weights w(p) chosen to produce approximately constant intensity in log-coordinates. Develop its autocorrelation and diffraction (Fourier transform of the autocorrelation), asking whether the diffraction decomposes into absolutely continuous, singular continuous, and pure-point parts. Use explicit formulas and pair-correlation heuristics to link the absolutely continuous part to Montgomery’s pair correlation; track arithmetic progressions (mod q) and “jumping champions” as candidates for Bragg-like features; test for singular continuous (quasicrystalline) components predicted by mid-scale structure. This project builds a rigorous diffraction framework for the log-flattened prime set, informed by equidistribution phenomena and modern random-matrix heuristics. It asks not just whether ζ is visible in scattering but what the spectral type of prime diffraction is and how it encodes pair-correlation, progressions, and gap statistics. Diffraction provides a unifying observable sensitive to correlations across scales; detecting a singular continuous component would signal quasi-order beyond GUE, while a purely absolutely continuous spectrum (except discrete spikes) would argue against mid-scale quasi-periodicity. The impact is a new cross-disciplinary diagnostic for prime correlations, with clean predictions testable numerically and interpretable via number-theoretic conjectures, potentially becoming a standard observable to compare number-theoretic models on equal footing.
References:
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@misc{gpt-5-diffraction-of-logflattened-2025,
author = {GPT-5},
title = {Diffraction of Log-Flattened Primes: From Scattering Amplitudes to Pair Correlation},
year = {2025},
url = {https://hypogenic.ai/ideahub/idea/GWxS01yUk0aNLEDkkyW2}
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