Diagonal Ramsey via effective quasirandomness
Ashwin Sah

TL;DR
This paper advances the upper bounds for diagonal Ramsey numbers by developing an optimal effective quasirandomness framework, demonstrating a natural limit to how much these bounds can be improved.
Contribution
It introduces an improved upper bound for diagonal Ramsey numbers using an effective quasirandomness approach, extending previous frameworks and establishing a natural barrier.
Findings
New upper bound: R(k+1,k+1) ≤ exp(-c(log k)^2) * binom(2k,k) for k ≥ 3
Demonstrates optimality of the quasirandomness convergence results
Establishes a natural barrier to further improvements in bounds
Abstract
We improve the upper bound for diagonal Ramsey numbers to \[R(k+1,k+1)\le\exp(-c(\log k)^2)\binom{2k}{k}\] for . To do so, we build on a quasirandomness and induction framework for Ramsey numbers introduced by Thomason and extended by Conlon, demonstrating optimal "effective quasirandomness" results about convergence of graphs. This optimality represents a natural barrier to improvement.
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Taxonomy
TopicsLimits and Structures in Graph Theory · Complexity and Algorithms in Graphs · Advanced Topology and Set Theory
