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Property Testing in Bounded Degree Hypergraphs
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abstract
We extend the bounded degree graph model for property testing introduced by Goldreich and Ron (Algorithmica, 2002) to hypergraphs. In this framework, we analyse the query complexity of three fundamental hypergraph properties: colorability, $k$-partiteness, and independence number. We present a randomized algorithm for testing $k$-partiteness within families of $k$-uniform $n$-vertex hypergraphs of bounded treewidth whose query complexity does not depend on $n$. In addition, we prove optimal lower bounds of $\Omega(n)$ on the query complexity of testing algorithms for $k$-colorability, $k$-partiteness, and independence number in $k$-uniform $n$-vertex hypergraphs of bounded degree. For each of these properties, we consider the problem of explicitly constructing $k$-uniform hypergraphs of bounded degree that differ in $\Theta(n)$ hyperedges from any hypergraph satisfying the property, but where violations of the latter cannot be detected in any neighborhood of $o(n)$ vertices.
Forward citations
Cited by 2 Pith papers
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Unbounded-width CSPs are Untestable in a Sublinear Number of Queries
Every unbounded-width CSP requires linearly many queries to test satisfiability in the bounded-degree oracle model; the paper reduces each such CSP from a hard linear-equation CSP over a finite abelian group.
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A Fast Coloring Oracle for Average Case Hypergraphs
A new elementary proof and a coloring oracle achieve O(1) expected time per query on uniformly random 2-colorable k-uniform hypergraphs.
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