Explicit Bounds for Nondeterministically Testable Hypergraph Parameters
September 10, 2015 Β· Declared Dead Β· π arXiv.org
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Authors
Marek Karpinski, Roland MarkΓ³
arXiv ID
1509.03046
Category
cs.DS: Data Structures & Algorithms
Cross-listed
math.CO
Citations
1
Venue
arXiv.org
Last Checked
4 months ago
Abstract
In this note we give a new effective proof method for the equivalence of the notions of testability and nondeterministic testability for uniform hypergraph parameters. We provide the first effective upper bound on the sample complexity of any nondeterministically testable $r$-uniform hypergraph parameter as a function of the sample complexity of its witness parameter for arbitrary $r$. The dependence is of the form of an exponential tower function with the height linear in $r$. Our argument depends crucially on the new upper bounds for the $r$-cut norm of sampled $r$-uniform hypergraphs. We employ also our approach for some other restricted classes of hypergraph parameters, and present some applications.
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