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Euclidean Bottleneck Bounded-Degree Spanning Tree Ratios

Published: 01 January 2022 Publication History

Abstract

Inspired by the seminal works of Khuller et al. (SIAM J. Comput. 25(2), 355–368 (1996)) and Chan (Discrete Comput. Geom. 32(2), 177–194 (2004)) we study the bottleneck version of the Euclidean bounded-degree spanning tree problem. A bottleneck spanning tree is a spanning tree whose largest edge-length is minimum, and a bottleneck degree-K spanning tree is a degree-K spanning tree whose largest edge-length is minimum. Let βK be the supremum ratio of the largest edge-length of the bottleneck degree-K spanning tree to the largest edge-length of the bottleneck spanning tree, over all finite point sets in the Euclidean plane. It is known that β5=1, and it is easy to verify that β22, β32, and β4>1.175. It is implied by the Hamiltonicity of the cube of the bottleneck spanning tree that β23. The degree-3 spanning tree algorithm of Ravi et al. (25th Annual ACM Symposium on Theory of Computing, pp. 438–447. ACM, New York (1993)) implies that β32. Andersen and Ras (Networks 68(4), 302–314 (2016)) showed that β43. We present the following improved bounds: β27, β33, and β42. As a result, we obtain better approximation algorithms for Euclidean bottleneck degree-3 and degree-4 spanning trees. As parts of our proofs of these bounds we present some structural properties of the Euclidean minimum spanning tree which are of independent interest.

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  1. Euclidean Bottleneck Bounded-Degree Spanning Tree Ratios
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      cover image Discrete & Computational Geometry
      Discrete & Computational Geometry  Volume 67, Issue 1
      Jan 2022
      359 pages

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      Springer-Verlag

      Berlin, Heidelberg

      Publication History

      Published: 01 January 2022
      Accepted: 03 February 2021
      Revision received: 08 November 2020
      Received: 17 February 2020

      Author Tags

      1. Bounded-degree spanning tree
      2. Bottleneck spanning tree
      3. Spanning tree ratios
      4. Approximation algorithms

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