English

$O(1)$ Steiner Point Removal in Series-Parallel Graphs

Data Structures and Algorithms 2021-04-05 v1

Abstract

We study how to vertex-sparsify a graph while preserving both the graph's metric and structure. Specifically, we study the Steiner point removal (SPR) problem where we are given a weighted graph G=(V,E,w)G=(V,E,w) and terminal set VVV' \subseteq V and must compute a weighted minor G=(V,E,w)G'=(V',E', w') of GG which approximates GG's metric on VV'. A major open question in the area of metric embeddings is the existence of O(1)O(1) multiplicative distortion SPR solutions for every (non-trivial) minor-closed family of graphs. To this end prior work has studied SPR on trees, cactus and outerplanar graphs and showed that in these graphs such a minor exists with O(1)O(1) distortion. We give O(1)O(1) distortion SPR solutions for series-parallel graphs, extending the frontier of this line of work. The main engine of our approach is a new metric decomposition for series-parallel graphs which we call a hammock decomposition. Roughly, a hammock decomposition is a forest-like structure that preserves certain critical parts of the metric induced by a series-parallel graph.

Keywords

Cite

@article{arxiv.2104.00750,
  title  = {$O(1)$ Steiner Point Removal in Series-Parallel Graphs},
  author = {D Ellis Hershkowitz and Jason Li},
  journal= {arXiv preprint arXiv:2104.00750},
  year   = {2021}
}
R2 v1 2026-06-24T00:47:22.964Z