Data Analysis Method Applied to the Goldbach Conjecture

Stated in 1742, Goldbach’s conjecture (every even number greater than 2 is the sum of two prime numbers) remains open. This work does not claim to prove it: it proposes an original data-analysis method to explore its decompositions, based on three simple ideas: inversion, structure and factorization. Example: 100 = 23 + (11 × 7), and for 105, three decompositions appear, like successive “waves” of prime numbers overlapping one another. Tested on all even numbers up to one trillion, the deterministic, programmable method finds at least one decomposition every time, with no exceptions.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-09
DOI
https://doi.org/10.5281/zenodo.24090059
Primary Topic
Analytic Number Theory Research
Type
article
Field-Weighted Citation Impact
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article

Data Analysis Method Applied to the Goldbach Conjecture

Denis Raux, Constant Raux
Zenodo (CERN European Organization for Nuclear Research)
Analytic Number Theory Research
article

Data Analysis Method Applied to the Goldbach Conjecture

Denis Raux, Constant Raux
article en

Abstract

Stated in 1742, Goldbach’s conjecture (every even number greater than 2 is the sum of two prime numbers) remains open. This work does not claim to prove it: it proposes an original data-analysis method to explore its decompositions, based on three simple ideas: inversion, structure and factorization. Example: 100 = 23 + (11 × 7), and for 105, three decompositions appear, like successive “waves” of prime numbers overlapping one another. Tested on all even numbers up to one trillion, the deterministic, programmable method finds at least one decomposition every time, with no exceptions.

Zenodo (CERN European Organization for Nuclear Research)
Analytic Number Theory Research
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Data Analysis Method Applied to the Goldbach Conjecture — Denis Raux, Constant Raux · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS