Treffer: Formal Proof that P = NP via Logical Tabular Machine (LTM)

Title:
Formal Proof that P = NP via Logical Tabular Machine (LTM)
Authors:
Publisher Information:
Zenodo
Publication Year:
2025
Collection:
Zenodo
Document Type:
Report report
Language:
unknown
DOI:
10.5281/zenodo.15377460
Rights:
Creative Commons Attribution No Derivatives 4.0 International ; cc-by-nd-4.0 ; https://creativecommons.org/licenses/by-nd/4.0/legalcode
Accession Number:
edsbas.FFD439AE
Database:
BASE

Weitere Informationen

This repository contains a formal, constructive proof that the complexity classes P and NP are equal, established through the construction of a universal deterministic algorithm known as the Logical Tabular Machine (LTM). Rather than relying on brute-force, symbolic formulas, or resolution methods, the LTM approach encodes any NP problem as a finite system of local constraints. Each constraint is expressed as a small truth table over 2–3 variables, and a deterministic propagator mechanism eliminates incompatible rows through local table intersections. The main components include: A fixed number of constraint tables (with up to 8 rows each), A propagation engine that enforces consistency across overlapping variables, A halting condition based on the exhaustion or stabilization of all tables. We prove: That this method terminates in polynomial time $O(m^2 \cdot n)$, That it handles all 21 classic NP-complete problems (e.g., 3-SAT, CLIQUE, COLORING, KNAPSACK), And that it is implementable as code or hardware (e.g., FSM, logic processor). The archive includes: A PDF of the full proof, The LaTeX source (.tex) of the proof, A sample implementation of LTM in Python, Demonstrative test cases, Licensing and README documentation. This work represents an original contribution to the theory of computational complexity and offers a constructive path to resolving one of the most fundamental open problems in computer science. Keywords: P vs NP, Logical Tabular Machine, NP-complete, polynomial-time algorithm, constraint propagation, proof theory, SAT, structural logic, Sanal Ednyashev