On Alternating 6-Cycles in Edge-Coloured Graphs

📅 2025-05-14
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This paper resolves the first open case (k = 6) of the extremal problem for alternating even cycles in red–blue edge-colored complete graphs, originally posed by Basit et al.: determining the maximum asymptotic density of alternating 6-cycles in large red–blue complete graphs. Employing the flag algebra framework combined with semidefinite programming, graph limit theory, and symmetry reduction, we rigorously establish an upper bound of 1/32 on this density—attainable asymptotically when the red-to-blue edge ratio approaches 1:1, with error term o(1). This result provides the first rigorous confirmation of the *randomness principle* for extremal alternating even cycles: uniform random 2-colorings are asymptotically optimal as n → ∞. It thus establishes a fundamental benchmark for the extremal theory of alternating cycles and significantly extends the applicability of flag algebras in extremal graph theory.

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📝 Abstract
In this short note, we use flag algebras to prove that the number of colour alternating 6-cycles in a red/blue colouring of a large clique is asymptotically maximized by a uniformly random colouring. This settles the first open case of a problem of Basit, Granet, Horsley, K""undgen and Staden.
Problem

Research questions and friction points this paper is trying to address.

Maximize color-alternating 6-cycles in edge-colored graphs
Prove asymptotic optimality of random red/blue clique coloring
Resolve first open case in Basit et al.'s problem
Innovation

Methods, ideas, or system contributions that make the work stand out.

Uses flag algebras for proof
Analyzes red/blue edge-colored graphs
Maximizes color-alternating 6-cycles asymptotically
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H
Hao Chen
School of Mathematical Sciences, University of Science and Technology of China, Hefei, Anhui, 230026, China
Jonathan A. Noel
Jonathan A. Noel
University of Victoria
Extremal CombinatoricsProbabilistic CombinatoricsGraph TheoryGraph ColouringGraph Limits