Primal Invariance Axiom: A New Framework for the Distribution of Prime Numbers

This work introduces the Primal Invariance Axiom, a new mathematical framework that treats prime numbers as invariant events in arithmetic space-time. Inspired by the invariance of the speed of light in Special Relativity, the author proposes an exact counting function, πinv(x)\pi_{\text{inv}}(x), which aims to replace statistical approximations such as x/log⁡xx/\log x or Li(x)\mathrm{Li}(x). The study also includes a thought experiment analogous to relativistic observation, reinforcing the view of primes as fixed and measurable informational structures. The material includes the main academic article, Python source code for computing and plotting the prime distribution, and a comparative graph of πinv(x)\pi_{\text{inv}}(x) and Gauss’s approximation. Applications are suggested in number theory, theoretical physics, cryptography, and information systems.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-25
DOI
https://doi.org/10.5281/zenodo.15278446
Primary Topic
Advanced Mathematical Theories and Applications
Type
article
Field-Weighted Citation Impact
0.00
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article

Primal Invariance Axiom: A New Framework for the Distribution of Prime Numbers

Zenodo (CERN European Organization for Nuclear Research)
Advanced Mathematical Theories and Applications
article

Primal Invariance Axiom: A New Framework for the Distribution of Prime Numbers

article en

Abstract

This work introduces the Primal Invariance Axiom, a new mathematical framework that treats prime numbers as invariant events in arithmetic space-time. Inspired by the invariance of the speed of light in Special Relativity, the author proposes an exact counting function, πinv(x)\pi_{\text{inv}}(x), which aims to replace statistical approximations such as x/log⁡xx/\log x or Li(x)\mathrm{Li}(x). The study also includes a thought experiment analogous to relativistic observation, reinforcing the view of primes as fixed and measurable informational structures. The material includes the main academic article, Python source code for computing and plotting the prime distribution, and a comparative graph of πinv(x)\pi_{\text{inv}}(x) and Gauss’s approximation. Applications are suggested in number theory, theoretical physics, cryptography, and information systems.

Zenodo (CERN European Organization for Nuclear Research)
Serviço Nacional de Aprendizagem Industrial (BR), São Paulo State Technological College (BR)
Openalex Percentile: Top 62%
Advanced Mathematical Theories and Applications
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