Better Labeling Schemes for Nearest Common Ancestors through Minor-Universal Trees
Pawe{\l} Gawrychowski, Jakub {\L}opusza\'nski

TL;DR
This paper introduces improved labeling schemes for nearest common ancestors in trees by leveraging the concept of minor-universal trees, achieving shorter labels and establishing bounds on their size and complexity.
Contribution
It connects nearest common ancestor labeling to minor-universal trees, providing new bounds on label length and universal tree size, and offers a transformation to reduce query time.
Findings
Achieves 2.318 log n-bit labels for NCA labeling schemes.
Shows lower bounds of Ω(n^{2.174}) for minor-universal trees.
Improves lower bounds for universal trees, establishing fundamental limitations.
Abstract
A labeling scheme for nearest common ancestors assigns a distinct binary string, called the label, to every node of a tree, so that given the labels of two nodes (and no further information about the topology of the tree) we can compute the label of their nearest common ancestor. The goal is to make the labels as short as possible. Alstrup, Gavoille, Kaplan, and Rauhe [Theor. Comput. Syst. 37(3):441-456 2004] showed that -bit labels are enough. More recently, Alstrup, Halvorsen, and Larsen [SODA 2014] refined this to only , and provided a lower bound of . We connect designing a labeling scheme for nearest common ancestors to the existence of a tree, called a minor-universal tree, that contains every tree on nodes as a topological minor. Even though it is not clear if a labeling scheme must be based on such a notion, we argue that the existing…
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
TopicsAlgorithms and Data Compression · Advanced Graph Theory Research · Complexity and Algorithms in Graphs
