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Lower bounds for Ramsey numbers as a statistical physics problem

Jurriaan Wouters, Aris Giotis, Ross J. Kang, Dirk Schuricht, Lars Fritz

2022Journal of Statistical Mechanics Theory and Experiment17 citationsDOIOpen Access PDF

Abstract

Abstract 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.

Topics & Concepts

Ramsey's theoremMonochromatic colorHamiltonian pathMathematicsHamiltonian (control theory)Connection (principal bundle)CombinatoricsUpper and lower boundsPath (computing)Ramsey theoryGraphMonte Carlo methodDiscrete mathematicsMathematical optimizationComputer sciencePhysicsMathematical analysisStatisticsGeometryProgramming languageOpticsMarkov Chains and Monte Carlo MethodsLimits and Structures in Graph TheoryAdvanced Topology and Set Theory