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Lower bounds for Ramsey numbers as a statistical physics problem

JOURNAL OF STATISTICAL MECHANICS-THEORY AND EXPERIMENT(2022)

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摘要
Ramsey's theorem, concerning the guarantee of certain monochromatic patterns in large enough edge-coloured complete graphs, is a fundamental result in combinatorial mathematics. In this work, we highlight the connection between this abstract setting and a statistical physics problem. Specifically, we design a classical Hamiltonian that favours configurations in a way to establish lower bounds on Ramsey numbers. As a proof of principle we then use Monte Carlo methods to obtain such lower bounds, finding rough agreement with known literature values in a few cases we investigated. We discuss numerical limitations of our approach and indicate a path towards the treatment of larger graph sizes.
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关键词
classical Monte Carlo simulations, random graphs, networks
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