CSP gaps and reductions in the lasserre hierarchy

We study integrality gaps for SDP relaxations of constraint satisfaction problems, in the hierarchy of SDPs defined by Lasserre. Schoenebeck [23] recently showed the first integrality gaps for these problems, showing that for MAX k-XOR, the ratio of the SDP optimum to the integer optimum may be as large as 2 even after Ω(n) rounds of the Lasserre hierarchy. We show that for the general MAX k-CSP problem, this ratio can be as large as 2k/2k - ε when the alphabet is binary and qk/q(q-1)k - ε when the alphabet size a prime q, even after Ω(n) rounds of the Lasserre hierarchy. We also explore how to translate gaps for CSP into integrality gaps for other problems using reductions, and establish SDP gaps for Maximum Independent Set, Approximate Graph Coloring, Chromatic Number and Minimum Vertex Cover. For Independent Set and Chromatic Number, we show integrality gaps of n/2O(√(log n log log n)) even after 2Ω(√(log n log log n)) rounds. In case of Approximate Graph Coloring, for every constant l, we construct graphs with chromatic number Ω(2l/2/l2), which admit a vector l-coloring for the SDP obtained by Ω(n) rounds. For Vertex Cover, we show an integrality gap of 1.36 for Ω(nδ) rounds, for a small constant δ. The results for CSPs provide the first examples of Ω(n) round integrality gaps matching hardness results known only under the Unique Games Conjecture. This and some additional properties of the integrality gap instance, allow for gaps for in case of Independent Set and Chromatic Number which are stronger than the NP-hardness results known even under the Unique Games Conjecture.

[1]  Eden Chlamtác,et al.  Approximation Algorithms Using Hierarchies of Semidefinite Programming Relaxations , 2007, 48th Annual IEEE Symposium on Foundations of Computer Science (FOCS'07).

[2]  Uriel Feige,et al.  Zero knowledge and the chromatic number , 1996, Proceedings of Computational Complexity (Formerly Structure in Complexity Theory).

[3]  Ravi B. Boppana,et al.  Approximating maximum independent sets by excluding subgraphs , 1992, BIT Comput. Sci. Sect..

[4]  Alexander Schrijver,et al.  Cones of Matrices and Set-Functions and 0-1 Optimization , 1991, SIAM J. Optim..

[5]  Gyanit Singh,et al.  Improved Approximation Guarantees through Higher Levels of SDP Hierarchies , 2008, APPROX-RANDOM.

[6]  Luca Trevisan,et al.  Gowers uniformity, influence of variables, and PCPs , 2005, STOC '06.

[7]  Madhur Tulsiani,et al.  A Linear Round Lower Bound for Lovasz-Schrijver SDP Relaxations of Vertex Cover , 2007, Twenty-Second Annual IEEE Conference on Computational Complexity (CCC'07).

[8]  S. Safra,et al.  On the hardness of approximating minimum vertex cover , 2005 .

[9]  Subhash Khot,et al.  Vertex cover might be hard to approximate to within 2-/spl epsiv/ , 2003, 18th IEEE Annual Conference on Computational Complexity, 2003. Proceedings..

[10]  T. Pitassi,et al.  Integrality gaps of 2 - o(1) for Vertex Cover SDPs in the Lovész-Schrijver Hierarchy , 2007, FOCS 2007.

[11]  Johan Håstad,et al.  On the Approximation Resistance of a Random Predicate , 2007, computational complexity.

[12]  Michael Alekhnovich,et al.  Towards strong nonapproximability results in the Lovasz-Schrijver hierarchy , 2005, STOC.

[13]  Moses Charikar,et al.  Near-optimal algorithms for maximum constraint satisfaction problems , 2007, SODA '07.

[14]  Subhash Khot,et al.  Better Inapproximability Results for MaxClique, Chromatic Number and Min-3Lin-Deletion , 2006, ICALP.

[15]  Jonas Holmerin,et al.  More efficient queries in PCPs for NP and improved approximation hardness of maximum CSP , 2008, Random Struct. Algorithms.

[16]  Grant Schoenebeck,et al.  Linear Level Lasserre Lower Bounds for Certain k-CSPs , 2008, 2008 49th Annual IEEE Symposium on Foundations of Computer Science.

[17]  Toniann Pitassi,et al.  Rank bounds and integrality gaps for cutting planes procedures , 2003, 44th Annual IEEE Symposium on Foundations of Computer Science, 2003. Proceedings..

[18]  Monique Laurent,et al.  A Comparison of the Sherali-Adams, Lovász-Schrijver, and Lasserre Relaxations for 0-1 Programming , 2003, Math. Oper. Res..

[19]  Subhash Khot,et al.  Improved inapproximability results for MaxClique, chromatic number and approximate graph coloring , 2001, Proceedings 2001 IEEE International Conference on Cluster Computing.

[20]  Uriel Feige,et al.  Randomized graph products, chromatic numbers, and the Lovász ϑ-function , 1997, Comb..

[21]  Uriel Feige,et al.  Randomized graph products, chromatic numbers, and Lovasz j-function , 1995, STOC '95.

[22]  Jean B. Lasserre,et al.  An Explicit Exact SDP Relaxation for Nonlinear 0-1 Programs , 2001, IPCO.

[23]  Ravi B. Boppana,et al.  Approximating maximum independent sets by excluding subgraphs , 1990, BIT.

[24]  Mihir Bellare,et al.  Free Bits, PCPs, and Nonapproximability-Towards Tight Results , 1998, SIAM J. Comput..

[25]  Elchanan Mossel,et al.  Approximation Resistant Predicates from Pairwise Independence , 2008, Computational Complexity Conference.

[26]  László Lovász,et al.  Approximating clique is almost NP-complete , 1991, [1991] Proceedings 32nd Annual Symposium of Foundations of Computer Science.

[27]  Michael Langberg,et al.  Graphs with tiny vector chromatic numbers and huge chromatic numbers , 2002, The 43rd Annual IEEE Symposium on Foundations of Computer Science, 2002. Proceedings..

[28]  Eli Ben-Sasson,et al.  Short proofs are narrow—resolution made simple , 2001, JACM.