English

Global Least Common Ancestor (LCA) Networks

Combinatorics 2026-04-20 v2

Abstract

Directed acyclic graphs (DAGs) are fundamental structures used across many scientific fields. A key concept in DAGs is the least common ancestor (LCA), which plays a crucial role in understanding hierarchical relationships. Surprisingly little attention has been given to DAGs that admit a unique LCA for every subset of their vertices. Here, we characterize such global lca-DAGs and provide multiple structural and combinatorial characterizations. We show that global lca-DAGs have a close connection to join semi-lattices and establish a connection to forbidden topological minors. In addition, we introduce a constructive approach to generating global lca-DAGs and demonstrate that they can be recognized in polynomial time. We investigate their relationship to clustering systems and other set systems derived from the underlying DAGs.

Cite

@article{arxiv.2503.16186,
  title  = {Global Least Common Ancestor (LCA) Networks},
  author = {Anna Lindeberg and Bruno J. Schmidt and Manoj Changat and Ameera Vaheeda Shanavas and Peter F. Stadler and Marc Hellmuth},
  journal= {arXiv preprint arXiv:2503.16186},
  year   = {2026}
}

Comments

21 pages, 4 figures

R2 v1 2026-06-28T22:28:17.613Z