A Closed-Form Entropy-Based Lower Bound for Diagonal Ramsey Numbers

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Autor principal: Fathi, Kevin
Formato: Recurso digital
Lenguaje:inglés
Publicado: Zenodo 2025
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_version_ 1866901532227665920
author Fathi, Kevin
author_facet Fathi, Kevin
contents <div>We introduce a deterministic framework for deriving lower bounds on the diagonal Ramsey number $R(k,k)$ using symbolic entropy theory, grounded in the formal correspondence between Shannon entropy and Kolmogorov complexity. By encoding 2-edge colorings of the complete graph $K_{n}$ as derivations under a symbolic grammar, we quantify the total symbolic complexity required to forbid monochromatic $K_{k}$ subgraphs. This complexity incorporates both entropy and a grammar-induced degeneracy term $\Delta_{G}(\phi)$. We establish a threshold where this required complexity equals the raw coloring capacity. Applying this framework to a canonical Conjunctive Normal Form (CNF) grammar yields a closed-form, asymptotic lower bound:</div> <div> </div> <div>\[ R(k,k) \gtrsim \left(\frac{k!}{2\alpha_{k}}\right)^{1/(k-2)}, \]</div> <div> </div> <div>where $\alpha_{k}$ is the clause entropy coefficient. While this specific bound is polynomial and thus weaker than classical probabilistic bounds, our result establishes a novel, verifiable, and deterministic methodology. We discuss how optimizing the underlying grammar and generalizing to non-ideal systems offers a structural alternative to probabilistic techniques.</div>
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language eng
publishDate 2025
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spellingShingle A Closed-Form Entropy-Based Lower Bound for Diagonal Ramsey Numbers
Fathi, Kevin
Ramsey theory
Diagonal Ramsey numbers
Symbolic entropy
Clause complexity
CNF encoding
Combinatorial lower bounds
Kolmogorov complexity
Extremal graph theory
Formal proof methods
Entropy-based reasoning
Structural irreducibility
Non-probabilistic combinatorics
Boolean grammars
Syntactic encoding
Constructive combinatorics
<div>We introduce a deterministic framework for deriving lower bounds on the diagonal Ramsey number $R(k,k)$ using symbolic entropy theory, grounded in the formal correspondence between Shannon entropy and Kolmogorov complexity. By encoding 2-edge colorings of the complete graph $K_{n}$ as derivations under a symbolic grammar, we quantify the total symbolic complexity required to forbid monochromatic $K_{k}$ subgraphs. This complexity incorporates both entropy and a grammar-induced degeneracy term $\Delta_{G}(\phi)$. We establish a threshold where this required complexity equals the raw coloring capacity. Applying this framework to a canonical Conjunctive Normal Form (CNF) grammar yields a closed-form, asymptotic lower bound:</div> <div> </div> <div>\[ R(k,k) \gtrsim \left(\frac{k!}{2\alpha_{k}}\right)^{1/(k-2)}, \]</div> <div> </div> <div>where $\alpha_{k}$ is the clause entropy coefficient. While this specific bound is polynomial and thus weaker than classical probabilistic bounds, our result establishes a novel, verifiable, and deterministic methodology. We discuss how optimizing the underlying grammar and generalizing to non-ideal systems offers a structural alternative to probabilistic techniques.</div>
title A Closed-Form Entropy-Based Lower Bound for Diagonal Ramsey Numbers
topic Ramsey theory
Diagonal Ramsey numbers
Symbolic entropy
Clause complexity
CNF encoding
Combinatorial lower bounds
Kolmogorov complexity
Extremal graph theory
Formal proof methods
Entropy-based reasoning
Structural irreducibility
Non-probabilistic combinatorics
Boolean grammars
Syntactic encoding
Constructive combinatorics
url https://doi.org/10.5281/zenodo.16776949