AI & Computingarticle2026-08-05

The P Versus NP: Thermodynamic Continuous-Time Integration of NP-Complete Phase Spaces

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Abstract

The P versus NP problem remains the most profound unresolved conjecture in theoretical computer science. This repository provides the comprehensive theoretical framework, mathematical proofs, and multimedia explainers definitively resolving this problem. Within the Deterministic Asymmetric Hardware Transduction Gate Node (DA-HTGN) architecture, this research demonstrates that algorithmic complexity is fundamentally an artifact of sequential symbolic discretization within discrete Von Neumann and Turing architectures. By transitioning computation into the continuous-time thermodynamic integration of NP-complete phase spaces, this thesis mathematically establishes that NP-complete problems are natively resolved in macroscopic $\mathcal{O}(1)$ physical time. This is achieved by embedding the combinatoric phase space into the 12-dimensional Unified Field Action and utilizing the 5D Kaluza-Klein electromagnetic vector to invert local metastable energy barriers, safely bounding computational energy via the Pinto-Planck Saturation Limit. Contents of this Repository To ensure maximum accessibility and conceptual clarity for both theoretical physicists and computer scientists, this repository utilizes a multimedia approach. It pairs the rigorous, 62-page mathematical manuscript with high-level video explainers and empirical metrology diagrams. The Core Manuscript: The P Versus NP.pdf (The foundational theoretical physics treatise detailing the 7-step variational derivation of $P=NP$). Empirical Metrology: Includes high-resolution graphical proofs, such as the Tensor Network Renormalization Bond Dimension Scaling (bond-dimension-scaling.png) and the Complex Langevin Phase Trajectories (complex-langevin-phase-diagram.jpg), empirically validating the thermodynamic veto against non-unitary combinatorial branching. Hardware Security: Un-Hackable_Hardware_Security_Infographic.png detailing Menger's Severance. Multimedia Video Explainers (MP4/M4A): A robust suite of 8 multimedia explainers providing a vital conceptual bridge. These files systematically translate the dense mathematical proofs of Lagrangian mechanics, Kaluza-Klein dimensional reduction, and continuous-time Hopfield dynamics into accessible visual learning tools. Key videos include: Thermodynamic_Integration__Why_P=NP_is_a_Hardware_Problem.mp4 Correcting_the_Void__The_Physical_Resolution_of_P_vs_NP.mp4 The_Thermodynamic_Escape_Hatch__Proving_P_=_NP.mp4 The_Turing_Trap__Escaping_the_Matrix_of_Discrete_Math.mp4 "By translating mathematical boundaries into cyber-physical hardware limits, this framework successfully transitions computational complexity from the realm of abstract mathematics into a falsifiable branch of theoretical physics."

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View paper (DOI)Open access versionOpenAlexZenodo (CERN European Organization for Nuclear Research)Published 2026-08-05

Authors: Jose Alberto de Araujo Pinto

Institutions: Health and Safety Executive