Non-ambiguous trees: new results and generalisation (Full version)
B\'er\'enice Delcroix-Oger (IRIF), Florent Hivert (LRI), Patxi, Laborde-Zubieta (LaBRI), Jean-Christophe Aval (LaBRI), Adrien Boussicault, (LaBRI)

TL;DR
This paper introduces a new combinatorial framework for non-ambiguous trees, deriving a differential equation, new counting formulas, q-analogues, and higher-dimensional generalizations.
Contribution
It provides a novel definition of NATs, a differential equation characterization, and extends the concept to higher dimensions, enriching the combinatorial theory.
Findings
New formula for counting NATs
Differential equation describing NATs
Higher-dimensional generalizations
Abstract
We present a new definition of non-ambiguous trees (NATs) as labelled binary trees. We thus get a differential equation whose solution can be described combinatorially. This yields a new formula for the number of NATs. We also obtain q-versions of our formula. We finally generalise NATs to higher dimension.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
Taxonomy
TopicsAdvanced Combinatorial Mathematics · Stochastic processes and statistical mechanics · Theoretical and Computational Physics
