Title
A Tight Upper Bound on the Probabilistic Embedding of Series-Parallel Graphs
Abstract
We prove that every unweighted series-parallel graph can be probabilistically embedded into its spanning trees with logarithmic distortion. This is tight due to an $\Omega(\log n)$ lower bound established by Gupta, Newman, Rabinovich, and Sinclair on the distortion required to probabilistically embed the $n$-vertex diamond graph into a collection of dominating trees. Our upper bound is gained by presenting a polynomial time probabilistic algorithm that constructs spanning trees with low expected stretch. This probabilistic algorithm can be derandomized to yield a deterministic polynomial time algorithm for constructing a spanning tree of a given (unweighted) series-parallel graph $G$, whose communication cost is at most $O(\log n)$ times larger than that of $G$.
Year
DOI
Venue
2009
10.1137/090745441
SIAM Journal on Discrete Mathematics
Keywords
Field
DocType
series-parallel graphs,probabilistic algorithm,log n,deterministic polynomial time algorithm,probabilistic embedding,polynomial time probabilistic algorithm,logarithmic distortion,communication cost,low expected stretch,series-parallel graph,tight upper bound,vertex diamond graph,unweighted series-parallel graph,lower bound,spanning trees,polynomial time,spanning tree,upper bound
Discrete mathematics,Randomized algorithm,Combinatorics,Embedding,Diamond graph,Upper and lower bounds,Vertex (graph theory),Spanning tree,Probabilistic logic,Time complexity,Mathematics
Journal
Volume
Issue
ISSN
23
4
0895-4801
ISBN
Citations 
PageRank 
0-89871-605-5
6
0.81
References 
Authors
20
2
Name
Order
Citations
PageRank
Yuval Emek144038.14
David Peleg26662824.19