Generalized discrete Markov spectra

In this paper, we generalize the special subset of the Markov-Lagrange spectrum (and the Markov spectrum) called the discrete Markov spectrum. The discrete Markov spectrum is defined in terms of the Markov numbers, which arise as positive integer solutions to the Markov equation $x^2 + y^2 + z^2 = 3xyz.$ Using the tool called snake graphs, originating from cluster algebra theory, we first reconstruct proofs of its properties in a combinatorial framework and then extend it to the generalized setting. We then introduce the generalized discrete Markov spectrum, defined analogously via the generalized Markov numbers, which arise as positive integer solutions to the generalized Markov equation $x^2 + y^2 + z^2 + k_1 yz + k_2 zx + k_3 xy = (3 + k_1 + k_2 + k_3) xyz.$ We prove that this generalized spectrum is contained in the Markov-Lagrange spectrum and thus the Markov spectrum.

💡 Research Summary

The paper “Generalized Discrete Markov Spectra” extends the classical discrete Markov spectrum—a distinguished subset of the Markov–Lagrange spectrum—by introducing a family of “generalized Markov numbers” that solve a three‑parameter deformation of the original Markov equation. The classical Markov equation
\