Distance labeling schemes for trees
Stephen Alstrup, Inge Li G{\o}rtz, Esben Bistrup Halvorsen and, Ely Porat

TL;DR
This paper advances the understanding of distance labeling schemes for trees by tightening bounds on label sizes for exact and approximate distances, and extends results to special tree classes like caterpillars and paths.
Contribution
It improves bounds for exact distance labeling in trees, introduces efficient approximate schemes, and provides bounds for specific tree structures like caterpillars and paths.
Findings
Exact distance labels require between 1/4 and 1/2 log^2 n bits.
(1+ε)-stretch schemes use Θ(log n) bits for constant ε.
Matching bounds are established for caterpillars and path graphs.
Abstract
We consider distance labeling schemes for trees: given a tree with nodes, label the nodes with binary strings such that, given the labels of any two nodes, one can determine, by looking only at the labels, the distance in the tree between the two nodes. A lower bound by Gavoille et. al. (J. Alg. 2004) and an upper bound by Peleg (J. Graph Theory 2000) establish that labels must use bits\footnote{Throughout this paper we use for .}. Gavoille et. al. (ESA 2001) show that for very small approximate stretch, labels use bits. Several other papers investigate various variants such as, for example, small distances in trees (Alstrup et. al., SODA'03). We improve the known upper and lower bounds of exact distance labeling by showing that bits are needed and that bits are…
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Taxonomy
TopicsAdvanced Graph Theory Research · Complexity and Algorithms in Graphs · Computational Geometry and Mesh Generation
