The Thermodynamic Tether of Computation

The P vs. NP problem remains the most famous open question in computer science. Traditional approaches assume that the generation of a solution (P) and the verification of a solution (NP) exist on the exact same mathematical plane, differing only in their algorithmic time complexity. In this paper, we apply the Golden Rule of Structural Rationalism to demonstrate that this assumption is a profound category error. We argue that generation (P) is an actualization process on the Contingent axis, bound by the thermodynamic tether of physical computation (entropy, heat dissipation, and time). Conversely, verification (NP) is an operator constraint on the Abstraction axis, bound only by logical self-adjointness. Because the axes are orthogonal, the collapse of P into NP is structurally forbidden. We demonstrate that P ̸= NP in the absolute, not because of a failure of algorithmic ingenuity, but because it violates the G¨odelian limit of the abstraction axis to fully contain the contingent manifold.

Authors

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-11-06
DOI
https://doi.org/10.5281/zenodo.23991523
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
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article

The Thermodynamic Tether of Computation

Eric Theriault, DeepSeek A.I.
1 links
Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
article

The Thermodynamic Tether of Computation

Eric Theriault, DeepSeek A.I.
article en

Abstract

The P vs. NP problem remains the most famous open question in computer science. Traditional approaches assume that the generation of a solution (P) and the verification of a solution (NP) exist on the exact same mathematical plane, differing only in their algorithmic time complexity. In this paper, we apply the Golden Rule of Structural Rationalism to demonstrate that this assumption is a profound category error. We argue that generation (P) is an actualization process on the Contingent axis, bound by the thermodynamic tether of physical computation (entropy, heat dissipation, and time). Conversely, verification (NP) is an operator constraint on the Abstraction axis, bound only by logical self-adjointness. Because the axes are orthogonal, the collapse of P into NP is structurally forbidden. We demonstrate that P ̸= NP in the absolute, not because of a failure of algorithmic ingenuity, but because it violates the G¨odelian limit of the abstraction axis to fully contain the contingent manifold.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 20%
Computability, Logic, AI Algorithms
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