URCF++: A Compression-Based, Barrier-Proof Separation of P,NP, and #P

We introduce the Ultra-Radical Compression Framework (URCF⁺⁺), a multi-layered model that separates the complexity classes P, NP, and #P through semantic-preserving and dispersion-enforcing compressions. This framework builds upon Kolmogorov complexity, Hamming dispersion metrics, and known circuit lower bounds to establish that no #P-complete problem can be compressed under URCF⁺⁺. Consequently, we derive that #P is not in P and, via structured reductions, that P ≠ NP. This work is self-contained, constructive, and provides a testable pathway toward resolving the P vs NP question

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-07-12
DOI
https://doi.org/10.5281/zenodo.15934076
Primary Topic
Language Development and Disorders
Type
article
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article

URCF++: A Compression-Based, Barrier-Proof Separation of P,NP, and #P

Zenodo (CERN European Organization for Nuclear Research)
Language Development and Disorders
article

URCF++: A Compression-Based, Barrier-Proof Separation of P,NP, and #P

article en

Abstract

We introduce the Ultra-Radical Compression Framework (URCF⁺⁺), a multi-layered model that separates the complexity classes P, NP, and #P through semantic-preserving and dispersion-enforcing compressions. This framework builds upon Kolmogorov complexity, Hamming dispersion metrics, and known circuit lower bounds to establish that no #P-complete problem can be compressed under URCF⁺⁺. Consequently, we derive that #P is not in P and, via structured reductions, that P ≠ NP. This work is self-contained, constructive, and provides a testable pathway toward resolving the P vs NP question

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 48%
Language Development and Disorders
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URCF++: A Compression-Based, Barrier-Proof Separation of P,NP, and #P · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS