The Structured Distribution of Prime Numbers in π: The Lawrence Prime Fractal Hypothesis

This study investigates the distribution of prime numbers within the first 1,000,000 decimal digits of π, revealing compelling evidence of non-random clustering, periodicity, and fractal-like structures. Using Monte Carlo simulations and statistical validation, we demonstrate that prime digits exhibit unique clustering patterns inconsistent with pure randomness. The analysis includes robust statistical measures, such as Z-scores, p-values, and confidence intervals, confirming that the observed clustering is highly significant. Visual representations and comprehensive statistical tables support the findings, highlighting consistent periodic patterns and fractal clustering. These results challenge the widely accepted assumption of π’s randomness and suggest deeper harmonic structures with potential implications for number theory and cryptography. Keywords: Pi, Prime Numbers, Non-Random Clustering, Fractal Behavior, Monte Carlo Simulation, Statistical Validation, Number Theory, Cryptography Supplementary Materials: The study includes statistical tables and enhanced visualizations demonstrating prime digit clustering and gap distribution, alongside fractal dimension analysis. The data and code used for statistical analysis are made available for reproducibility.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-23
DOI
https://doi.org/10.5281/zenodo.15031831
Primary Topic
Benford’s Law and Fraud Detection
Type
article
Field-Weighted Citation Impact
0.00
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article

The Structured Distribution of Prime Numbers in π: The Lawrence Prime Fractal Hypothesis

Zenodo (CERN European Organization for Nuclear Research)
Benford’s Law and Fraud Detection
article

The Structured Distribution of Prime Numbers in π: The Lawrence Prime Fractal Hypothesis

article en

Abstract

This study investigates the distribution of prime numbers within the first 1,000,000 decimal digits of π, revealing compelling evidence of non-random clustering, periodicity, and fractal-like structures. Using Monte Carlo simulations and statistical validation, we demonstrate that prime digits exhibit unique clustering patterns inconsistent with pure randomness. The analysis includes robust statistical measures, such as Z-scores, p-values, and confidence intervals, confirming that the observed clustering is highly significant. Visual representations and comprehensive statistical tables support the findings, highlighting consistent periodic patterns and fractal clustering. These results challenge the widely accepted assumption of π’s randomness and suggest deeper harmonic structures with potential implications for number theory and cryptography. Keywords: Pi, Prime Numbers, Non-Random Clustering, Fractal Behavior, Monte Carlo Simulation, Statistical Validation, Number Theory, Cryptography Supplementary Materials: The study includes statistical tables and enhanced visualizations demonstrating prime digit clustering and gap distribution, alongside fractal dimension analysis. The data and code used for statistical analysis are made available for reproducibility.

Zenodo (CERN European Organization for Nuclear Research)
Indepth Network (GH)
Openalex Percentile: Top 59%
Benford’s Law and Fraud Detection
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The Structured Distribution of Prime Numbers in π: The Lawrence Prime Fractal Hypothesis · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS