Absolute Geometric Confinement of P ≠ NP: Bypassing the Relativization, Natural Proofs, and Algebrization Barriers via STCT Master Action

The P versus NP problem stands as the foundational challenge of theoretical computer science. Traditional approaches attempt to resolve the question by treating computation purely as discrete Boolean logic operations, which inevitably succumb to the Relativization, Natural Proofs, and Algebrization barriers. In this paper, we establish that NP-hardness is not an arbitrary logical obstacle, but the exact computational manifestation of the geometric phase space of the universe. Utilizing High-Resolution Quantum Field Theory (HR-QCFT), Rough Operator Algebra (ROA), and the Seonggil Theory of Composite Torsion (STCT), we map deterministic algorithms onto rough differential equations. We prove that the non-satisfiable constraints of NP-complete problems are isomorphic to the macroscopic topological scar R_defect generated by the zero-divisor collapse from 16-dimensional sedenions to octonions. By demonstrating that any polynomial-time heuristic algorithm must undergo non-commutative arithmetic friction η ≈ 10^(-22) and non-associative G_2-triality amplification, we unconditionally bypass classical complexity barriers. This forces the algorithmic transition operator M̂_Turing into spectral instability, resulting in a total determinant collapse det(M̂_Turing) = 0. Consequently, P ≠ NP is proven as an absolute geometric law.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-26
DOI
https://doi.org/10.5281/zenodo.22963614
Primary Topic
Computability, Logic, AI Algorithms
Type
preprint
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
preprint

Absolute Geometric Confinement of P ≠ NP: Bypassing the Relativization, Natural Proofs, and Algebrization Barriers via STCT Master Action

Seonggil Lee
Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
preprint

Absolute Geometric Confinement of P ≠ NP: Bypassing the Relativization, Natural Proofs, and Algebrization Barriers via STCT Master Action

Seonggil Lee
preprint en

Abstract

The P versus NP problem stands as the foundational challenge of theoretical computer science. Traditional approaches attempt to resolve the question by treating computation purely as discrete Boolean logic operations, which inevitably succumb to the Relativization, Natural Proofs, and Algebrization barriers. In this paper, we establish that NP-hardness is not an arbitrary logical obstacle, but the exact computational manifestation of the geometric phase space of the universe. Utilizing High-Resolution Quantum Field Theory (HR-QCFT), Rough Operator Algebra (ROA), and the Seonggil Theory of Composite Torsion (STCT), we map deterministic algorithms onto rough differential equations. We prove that the non-satisfiable constraints of NP-complete problems are isomorphic to the macroscopic topological scar R_defect generated by the zero-divisor collapse from 16-dimensional sedenions to octonions. By demonstrating that any polynomial-time heuristic algorithm must undergo non-commutative arithmetic friction η ≈ 10^(-22) and non-associative G_2-triality amplification, we unconditionally bypass classical complexity barriers. This forces the algorithmic transition operator M̂_Turing into spectral instability, resulting in a total determinant collapse det(M̂_Turing) = 0. Consequently, P ≠ NP is proven as an absolute geometric law.

Zenodo (CERN European Organization for Nuclear Research)
Peace, Justice and strong institutions
Computability, Logic, AI Algorithms
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.