English

SL(2,Z)-matrixizations of generalized Markov numbers

Number Theory 2025-03-07 v3 Algebraic Geometry Combinatorics

Abstract

For k0k\geq 0, a kk-generalized Markov number is an integer which appears in some positive integer solution to the kk-generalized Markov equation x2+y2+z2+k(yz+zx+xy)=(3+3k)xyzx^2 + y^2 + z^2 + k(yz + zx + xy) = (3 + 3k)xyz. In this paper, we discuss a combinatorial structure of generalized Markov numbers. To investigate this structure in detail, we use two families of matrices: the kk-generalized Cohn matrices and the kk-Markov-monodromy matrices, which are elements of SL(2,Z)SL(2, \mathbb{Z}) whose (1,2)(1,2)-entries are kk-generalized Markov numbers. We show that these two families of matrices recover the tree structure of the positive integer solutions to the generalized Markov equation, and we give geometric interpretations and a combinatorial interpretation of kk-generalized Markov numbers. As an application, we provide a computation algorithm of classical Markov number from a one-dimensional dynamical viewpoint. Moreover, we clarify a relation between kk-generalized Markov numbers and toric surface singularities via continued fractions.

Keywords

Cite

@article{arxiv.2407.08203,
  title  = {SL(2,Z)-matrixizations of generalized Markov numbers},
  author = {Yasuaki Gyoda and Shuhei Maruyama and Yusuke Sato},
  journal= {arXiv preprint arXiv:2407.08203},
  year   = {2025}
}

Comments

76 pages, 28 figures, minor corrections