Discrete Mathematics & Theoretical Computer Science (May 2022)

Down-step statistics in generalized Dyck paths

  • Andrei Asinowski,
  • Benjamin Hackl,
  • Sarah J. Selkirk

DOI
https://doi.org/10.46298/dmtcs.7163
Journal volume & issue
Vol. vol. 24, no. 1, no. Combinatorics

Abstract

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The number of down-steps between pairs of up-steps in $k_t$-Dyck paths, a generalization of Dyck paths consisting of steps $\{(1, k), (1, -1)\}$ such that the path stays (weakly) above the line $y=-t$, is studied. Results are proved bijectively and by means of generating functions, and lead to several interesting identities as well as links to other combinatorial structures. In particular, there is a connection between $k_t$-Dyck paths and perforation patterns for punctured convolutional codes (binary matrices) used in coding theory. Surprisingly, upon restriction to usual Dyck paths this yields a new combinatorial interpretation of Catalan numbers.

Keywords