λk-Driven Incompressibility: Lower Bounds Separating P from NP

We propose a novel complexity framework based on information-theoretic structure compres- sion to analyze the distinction between P and NP problems. Central to our model is a structural compressibility indicator λk(x), derived from Kolmogorov complexity approximations of problem instances and their solutions. We introduce the structure-time coupling Λ(x), and conjecture a time lower bound T(x) ≥Ω(n2 ·2λk (x)). Empirical regression analysis confirms this relation with near-perfect fit, suggesting a structural foundation for proving that P ̸= NP.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-08-04
DOI
https://doi.org/10.5281/zenodo.16734162
Primary Topic
Computability, Logic, AI Algorithms
Type
article
Field-Weighted Citation Impact
0.00
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article

λk-Driven Incompressibility: Lower Bounds Separating P from NP

Zenodo (CERN European Organization for Nuclear Research)
Computability, Logic, AI Algorithms
article

λk-Driven Incompressibility: Lower Bounds Separating P from NP

article en

Abstract

We propose a novel complexity framework based on information-theoretic structure compres- sion to analyze the distinction between P and NP problems. Central to our model is a structural compressibility indicator λk(x), derived from Kolmogorov complexity approximations of problem instances and their solutions. We introduce the structure-time coupling Λ(x), and conjecture a time lower bound T(x) ≥Ω(n2 ·2λk (x)). Empirical regression analysis confirms this relation with near-perfect fit, suggesting a structural foundation for proving that P ̸= NP.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 58%
Computability, Logic, AI Algorithms
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λk-Driven Incompressibility: Lower Bounds Separating P from NP · Zenodo (CERN European Organization for Nuclear Research) (2025) | TGRS Research Map | TGRS