A Constructive Proof that P = NP via Canonical Symmetric Compression of NP-Complete Instances

We propose a formal framework for resolving the P vs NP problem, based on a synthesisof structural symmetries and deterministic encodings within constraint-satisfaction domains.The key insight is that certain invariants and compressible symmetries inherent in NP-completeproblem instances admit a transformation into deterministic polynomial-time verifiable encod-ings. These encodings exploit self-reducibility, mirror symmetry, and information-theoretic re-dundancy such that the nondeterministic search space collapses into a tractable deterministicconstruction. We construct a fixed-point graph encoding of 3SAT and prove it yields a sound,complete, and polynomial-time decision procedure, whose structure is self-referentially valid andrecursively sufficient.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-15
DOI
https://doi.org/10.5281/zenodo.15900136
Primary Topic
Advanced MRI Techniques and Applications
Type
article
Field-Weighted Citation Impact
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article

A Constructive Proof that P = NP via Canonical Symmetric Compression of NP-Complete Instances

Zenodo (CERN European Organization for Nuclear Research)
Advanced MRI Techniques and Applications
article

A Constructive Proof that P = NP via Canonical Symmetric Compression of NP-Complete Instances

article en

Abstract

We propose a formal framework for resolving the P vs NP problem, based on a synthesisof structural symmetries and deterministic encodings within constraint-satisfaction domains.The key insight is that certain invariants and compressible symmetries inherent in NP-completeproblem instances admit a transformation into deterministic polynomial-time verifiable encod-ings. These encodings exploit self-reducibility, mirror symmetry, and information-theoretic re-dundancy such that the nondeterministic search space collapses into a tractable deterministicconstruction. We construct a fixed-point graph encoding of 3SAT and prove it yields a sound,complete, and polynomial-time decision procedure, whose structure is self-referentially valid andrecursively sufficient.

Zenodo (CERN European Organization for Nuclear Research)
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Advanced MRI Techniques and Applications
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