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Constructing near spanning trees with few local inspections
Authors:Reut Levi  Guy Moshkovitz  Dana Ron  Ronitt Rubinfeld  Asaf Shapira
Institution:1. MPI for Informatics, Saarbrücken, Germany;2. School of Mathematics, Tel Aviv University, Tel Aviv, Israel;3. School of Electrical Engineering, Tel Aviv University, Tel Aviv, Israel;4. CSAIL, MIT, Cambridge, Massachusetts
Abstract:Constructing a spanning tree of a graph is one of the most basic tasks in graph theory. Motivated by several recent studies of local graph algorithms, we consider the following variant of this problem. Let G be a connected bounded‐degree graph. Given an edge e in G we would like to decide whether e belongs to a connected subgraph urn:x-wiley:10429832:media:rsa20652:rsa20652-math-0001 consisting of urn:x-wiley:10429832:media:rsa20652:rsa20652-math-0002 edges (for a prespecified constant urn:x-wiley:10429832:media:rsa20652:rsa20652-math-0003), where the decision for different edges should be consistent with the same subgraph urn:x-wiley:10429832:media:rsa20652:rsa20652-math-0004. Can this task be performed by inspecting only a constant number of edges in G ? Our main results are:
  • We show that if every t‐vertex subgraph of G has expansion urn:x-wiley:10429832:media:rsa20652:rsa20652-math-0005 then one can (deterministically) construct a sparse spanning subgraph urn:x-wiley:10429832:media:rsa20652:rsa20652-math-0006 of G using few inspections. To this end we analyze a “local” version of a famous minimum‐weight spanning tree algorithm.
  • We show that the above expansion requirement is sharp even when allowing randomization. To this end we construct a family of 3‐regular graphs of high girth, in which every t‐vertex subgraph has expansion urn:x-wiley:10429832:media:rsa20652:rsa20652-math-0007. We prove that for this family of graphs, any local algorithm for the sparse spanning graph problem requires inspecting a number of edges which is proportional to the girth.
© 2016 Wiley Periodicals, Inc. Random Struct. Alg., 50, 183–200, 2017
Keywords:graph expansion  local algorithms  sparse spanning graph
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