Orderings of k-Markov Numbers
Esther Banaian
TL;DR
The paper extends Frobenius's unicity viewpoint from ordinary Markov numbers to the $k$-Markov family, proving that Aigner's conjectures hold for all $k\ge0$ by developing a cluster-algebra–inspired combinatorial framework. It builds a bridge between Markov-type Diophantine equations and rational labeling, continued fractions, snake graphs, and fence posets, with skein relations providing the key recurrences. A central construction is the $k$-Markov distance, defined via weighted posets associated to arcs in the integer lattice, and shown to realize the $k$-Markov numbers as continued-fraction numerators. The work generalizes prior $k=1$ results and offers a robust, skein-based method to analyze orderings on rational labels, linking discrete geometry with number-theoretic unicity questions. It also lays groundwork for future explorations of how these orderings interact across different $k$ and with broader families of continued-fraction identities.
Abstract
The $k$-Markov numbers, introduced by Gyoda and Matsushita, are those which appear in positive integral solutions to $x^2 + y^2 + z^2 + k(xy + xz + yz) = (3+3k)xyz$. When $k =0$, this recovers the ordinary Markov numbers. A long-standing question in the theory of Markov numbers is Frobenius's unicity conjecture, concerning whether every Markov number is the maximum in a unique solution triple. Aigner gave a series of weaker, related conjectures which were confirmed to be true by Lee, Li, Rabideau, and Schiffler using techniques from the theory of cluster algebras. We show here that $k$-Markov numbers also satisfy Aigner's conjectures.
