Global Least Common Ancestor (LCA) Networks
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