Synthesis with a Structural Proof of Fermat's Theorem and the System–Antisystem Duality

This work formulates a universal law of reality organization based on discrete ternary symmetry Z3×Z3Z3×Z3. The theory is derived from algorithmic analysis of financial time series (MQL4) and verified in mathematics (Riemann Hypothesis, Fermat’s Theorem), physics (QCD, string theory), history (251 key dates), and market dynamics. A structural explanation of Fermat’s Last Theorem is proposed using the intersection point formula P=N−2KP=N−2K. The concept of System–Antisystem duality is introduced, where 96 fundamental patterns represent isomorphic unfoldings of a single algebraic core. The combined statistical significance of the confirmations is estimated as p<10−935p<10−935. The source code (4 MQL4 modules + Python implementation) is available upon request under the CC BY-NC-ND 4.0 license.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-03-27
DOI
https://doi.org/10.5281/zenodo.19250145
Primary Topic
Complex Systems and Dynamics
Type
article
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article

Synthesis with a Structural Proof of Fermat's Theorem and the System–Antisystem Duality

Константин
Zenodo (CERN European Organization for Nuclear Research)
Complex Systems and Dynamics
article

Synthesis with a Structural Proof of Fermat's Theorem and the System–Antisystem Duality

Константин
article en

Abstract

This work formulates a universal law of reality organization based on discrete ternary symmetry Z3×Z3Z3×Z3. The theory is derived from algorithmic analysis of financial time series (MQL4) and verified in mathematics (Riemann Hypothesis, Fermat’s Theorem), physics (QCD, string theory), history (251 key dates), and market dynamics. A structural explanation of Fermat’s Last Theorem is proposed using the intersection point formula P=N−2KP=N−2K. The concept of System–Antisystem duality is introduced, where 96 fundamental patterns represent isomorphic unfoldings of a single algebraic core. The combined statistical significance of the confirmations is estimated as p<10−935p<10−935. The source code (4 MQL4 modules + Python implementation) is available upon request under the CC BY-NC-ND 4.0 license.

Zenodo (CERN European Organization for Nuclear Research)
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Complex Systems and Dynamics
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