K-Outerplanar Graphs, Planar Duality, and Low Stretch Spanning Trees

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Abstract

Low distortion probabilistic embedding of graphs into approximating trees is an extensively studied topic. Of particular interest is the case where the approximating trees are required to be (subgraph) spanning trees of the given graph (or multigraph), in which case, the focus is usually on the equivalent problem of finding a (single) tree with low average stretch. Among the classes of graphs that received special attention in this context are k-outerplanar graphs (for a fixed k): Chekuri, Gupta, Newman, Rabinovich, and Sinclair show that every k-outerplanar graph can be probabilistically embedded into approximating trees with constant distortion regardless of the size of the graph. The approximating trees in the technique of Chekuri et al. are not necessarily spanning trees, though. In this paper it is shown that every k-outerplanar multigraph admits a spanning tree with constant average stretch. This immediately translates to a constant bound on the distortion of probabilistically embedding k-outerplanar graphs into their spanning trees. Moreover, a randomized algorithm is presented for constructing such a low average stretch spanning tree in expected linear time. This algorithm relies on some new insights regarding the connection between low average stretch spanning trees and planar duality. © 2009 Springer Berlin Heidelberg.

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Emek, Y. (2009). K-Outerplanar Graphs, Planar Duality, and Low Stretch Spanning Trees. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 5757 LNCS, pp. 203–214). https://doi.org/10.1007/978-3-642-04128-0_18

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