Characterizing and Transforming DAGs within the I-LCA Framework
Marc Hellmuth, Anna Lindeberg

TL;DR
This paper investigates the properties of DAGs related to least common ancestors and clusters, introduces transformations to simplify DAGs while preserving key structures, and characterizes when clusters are retained or lost during these transformations.
Contribution
It generalizes existing results for binary and k-ary set systems to broader DAG classes and introduces a transformation method that preserves essential clustering properties.
Findings
Transformation reduces DAG complexity while maintaining key structures.
Characterization of clusters retained after transformation.
Transformed DAGs are trees or galled-trees under certain conditions.
Abstract
We explore the connections between clusters and least common ancestors (LCAs) in directed acyclic graphs (DAGs), focusing on the interplay between so-called -lca-relevant DAGs and DAGs with the -lca-property. Here, denotes a set of integers. In -lca-relevant DAGs, each vertex is the unique LCA for some subset of leaves of size , whereas in a DAG with the -lca-property there exists a unique LCA for every subset of leaves satisfying . We elaborate on the difference between these two properties and establish their close relationship to pre--ary and -ary set systems. This, in turn, generalizes results established for (pre-)binary and -ary set systems. Moreover, we build upon recently established results that use a simple operator , enabling the transformation of arbitrary DAGs into -lca-relevant DAGs. This process reduces…
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Taxonomy
TopicsEnvironmental Impact and Sustainability
