AI & Computingpreprint2026-08-23

Hidden Periodic Biases and Statistical Regularities in Prime Distribution — E8 Intelligence Research

Open access0 citations

Abstract

FINDING: Prime distribution exhibits hidden periodic biases (e.g., prime gaps, last-digit correlations) and asymptotic density governed by the Prime Number Theorem; no simple closed-form pattern exists, but statistical regularities emerge. | MATH: PNT: π(x) ~ x/ln(x); Riemann zeta ζ(s) = Σ n⁻ˢ = Π (1−p⁻ˢ)⁻¹; prime gap G(x) ~ log x; Hardy–Littlewood k-tuple conjecture: density ∝ C_k · x/(log x)^k; bias: Chebyshev's bias (π(x;4,3) > π(x;4,1) usually); recent work (Lemke Oliver & Soundararajan, 2016) on consecutive prime last-digit correlations — deviations from uniform ~ O(1/log x). | CONNECTION: The logarithmic integral Li(x) ≈ x/ln(x) + x/ln²(x) + … relates to the natural logarithm base e (2.718…), not directly to golden ratio; however, the spacing distribution of large prime gaps (after normalization) approaches the Gumbel distribution, whose scale parameter relates to 1/γ (Euler–Mascheroni ≈ 0.5772), and the density of twin primes involves the twin prime constant C₂ ≈ 0.66016 — no di Author: Andrew Stewart Caldin, Independent Researcher, UK. Part of the E8 Intelligence Research series. Platform: e8intelligence.com

// Source

View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-08-23

Authors: Andrew Stewart Caldin