Quantum-Algebraic Effective Structural Number Theory (QA-ESNT)_Unification via Universal Rough Operator Algebra and Complex Torsion

This paper establishes the Quantum-Algebraic Effective Structural Number Theory (QA-ESNT), a definitive framework that overcomes the foundational incompleteness, non-constructibility, and topological gaps of classical number theory. By integrating structural algorithmic epistemology with Seonggil's Rough Operator Algebra and Complex Torsion Theory, integers and primes are redefined as explicit structural complexes governed by finite thermodynamic-algorithmic bounds and topological torsion fields.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-24
DOI
https://doi.org/10.5281/zenodo.22943495
Primary Topic
Algebraic and Geometric Analysis
Type
preprint
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preprint

Quantum-Algebraic Effective Structural Number Theory (QA-ESNT)_Unification via Universal Rough Operator Algebra and Complex Torsion

Seonggil Lee
Zenodo (CERN European Organization for Nuclear Research)
Algebraic and Geometric Analysis
preprint

Quantum-Algebraic Effective Structural Number Theory (QA-ESNT)_Unification via Universal Rough Operator Algebra and Complex Torsion

Seonggil Lee
preprint en

Abstract

This paper establishes the Quantum-Algebraic Effective Structural Number Theory (QA-ESNT), a definitive framework that overcomes the foundational incompleteness, non-constructibility, and topological gaps of classical number theory. By integrating structural algorithmic epistemology with Seonggil's Rough Operator Algebra and Complex Torsion Theory, integers and primes are redefined as explicit structural complexes governed by finite thermodynamic-algorithmic bounds and topological torsion fields.

Zenodo (CERN European Organization for Nuclear Research)
Algebraic and Geometric Analysis
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Quantum-Algebraic Effective Structural Number Theory (QA-ESNT)_Unification via Universal Rough Operator Algebra and Complex Torsion — Seonggil Lee · Zenodo (CERN European Organization for Nuclear Research) (2026) | TGRS Research Map | TGRS