DROPS (Schloss Dagstuhl – Leibniz Center for Informatics) · 2011 · 13 citations · 18 references
ComputingComputer ScienceMathematicsAlgorithmsCombinatoricsTheory Of ComputationApproximation AlgorithmsCombinatorial OptimizationGraph AlgorithmsGraph TheoryConstraintsCovering ProblemsObjective Function ValueSemidefinite ProgrammingSemidefinite Programming RelaxationSemidefinite RelaxationSet Covering ProblemVertex Cover Approximation
We give the first tight integrality gap for Vertex Cover in the Sherali-Adams SDP system. More precisely, we show that for every \epsilon >0, the standard SDP for Vertex Cover that is strengthened with the level-6 Sherali-Adams system has integrality gap 2-\epsilon. To the best of our knowledge this is the first nontrivial tight integrality gap for the Sherali-Adams SDP hierarchy for a combinatorial problem with hard constraints. For our proof we introduce a new tool to establish Local-Global Discrepancy which uses simple facts from high-dimensional geometry. This allows us to give Sherali-Adams solutions with objective value n(1/2+o(1)) for graphs with small (2+o(1)) vector chromatic number. Since such graphs with no linear size independent sets exist, this immediately gives a tight integrality gap for the Sherali-Adams system for superconstant number of tightenings. In order to obtain a Sherali-Adams solution that also satisfies semidefinite conditions, we reduce semidefiniteness to a condition on the Taylor expansion of a reasonably simple function that we are able to establish up to constant-level SDP tightenings. We conjecture that this condition holds even for superconstant levels which would imply that in fact our solution is valid for superconstant level Sherali-Adams SDPs.
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On the power of unique 2-prover 1-round games
Subhash Khot · 2002 · 854 citations
On the hardness of approximating vertex cover
Irit Dinur, Samuel Safra · Annals of Mathematics · 2005 · 635 citations · Full text