English

Characterizing and Transforming DAGs within the I-LCA Framework

Combinatorics 2025-08-12 v2 Discrete Mathematics

Abstract

We explore the connections between clusters and least common ancestors (LCAs) in directed acyclic graphs (DAGs), focusing on the interplay between so-called II-lca-relevant DAGs and DAGs with the II-lca-property. Here, II denotes a set of integers. In II-lca-relevant DAGs, each vertex is the unique LCA for some subset AA of leaves of size AI|A|\in I, whereas in a DAG with the II-lca-property there exists a unique LCA for every subset AA of leaves satisfying AI|A|\in I. We elaborate on the difference between these two properties and establish their close relationship to pre-II-ary and II-ary set systems. This, in turn, generalizes results established for (pre-)binary and kk-ary set systems. Moreover, we build upon recently established results that use a simple operator \ominus, enabling the transformation of arbitrary DAGs into II-lca-relevant DAGs. This process reduces unnecessary complexity while preserving key structural properties of the original DAG. The set CGC_G consists of all clusters in a DAG GG, where clusters correspond to the descendant leaves of vertices. While in some cases CH=CGC_H = C_G when transforming GG into an II-lca-relevant DAG HH, it often happens that certain clusters in CGC_G do not appear as clusters in HH. To understand this phenomenon in detail, we characterize the subset of clusters in CGC_G that remain in HH for DAGs GG with the II-lca-property. Furthermore, we show that the set WW of vertices required to transform GG into H=GWH = G \ominus W is uniquely determined for such DAGs. This, in turn, allows us to show that the ``shortcut-free'' version of the transformed DAG HH is always a tree or a galled-tree whenever CGC_G represents the clustering system of a tree or galled-tree and GG has the II-lca-property. In the latter case CH=CGC_H = C_G always holds.

Cite

@article{arxiv.2411.14057,
  title  = {Characterizing and Transforming DAGs within the I-LCA Framework},
  author = {Marc Hellmuth and Anna Lindeberg},
  journal= {arXiv preprint arXiv:2411.14057},
  year   = {2025}
}

Comments

9 pages, 3 figures

R2 v1 2026-06-28T20:07:40.580Z