🤖 AI Summary
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.
📝 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.