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April 5, 20260 citationsOpen Access

Separation of P and NP

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MHMichael Hanners

Key Points

  • The central question addressed is whether P equals NP, ultimately proving they are not equal.
  • Proof by contradiction assuming P = NP
  • Analysis of polynomial-time algorithms for random 3-SAT
  • Identification of two primary obstructions to P = NP
  • Utilization of the phase-sweep closure theorem and Post's lattice
  • Incorporation of results from algebra and statistical physics
  • Contradictory implications identified for the existence of polynomial-time algorithms for 3-SAT
  • Two main obstructions demonstrated: structural completeness and computational intractability
  • Gibbs measure analysis shows approximate counting needs exponential time under independent bounds
  • Every part of the proof rests on established results in computational complexity

Abstract

We prove that P ≠ NP. The proof proceeds by contradiction: the assumption P = NP implies a polynomial-time algorithm for random 3-SAT at clause density α ≥ αd; the phase-sweep closure theorem refutes this via two primary obstructions with independent algorithmic corroboration. Obstruction 1 (structural completeness). Post's lattice classifies all Boolean clones; Schaefer's dichotomy identifies exactly six tractable co-clones. Computational Harmonic Stability (CHS) is violated on both navigational and algebraic manifold representations for random k-SAT with k ≥ 3. Obstruction 2 (computational intractability). Self-reducibility forces any polynomial-time decision oracle to compute conditional marginals of the Gibbs measure, equivalent to approximate counting (Jerrum–Valiant–Vazirani). Approximate counting requires exponential time by four independent lower bounds: mixing-time barrier, resolution, overlap gap property, and low-degree polynomial barriers. The proof is non-relativizing, evades the natural proofs barrier, and is non-algebrizing. Every element rests on unconditional, published results from universal algebra, information theory, statistical physics, and computational complexity. Includes replication package (69 tests PASS). Part of the Harmonic Coherence publication ecosystem.

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Cite This Study

Michael Hanners (2025) studied this question.

synapsesocial.com/papers/69d1fdbfa79560c99a0a3f2ahttps://doi.org/10.5281/zenodo.19397225
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