Title
Subexponential Algorithms for Unique Games and Related Problems
Abstract
We give a sub exponential time approximation algorithm for the \textsc{Unique Games} problem. The algorithms run in time that is exponential in an arbitrarily small polynomial of the input size, $n^{\epsilon}$. The approximation guarantee depends on~$\epsilon$, but not on the alphabet size or the number of variables. We also obtain a sub exponential algorithms with improved approximations for \textsc{Small-Set Expansion} and \textsc{Multicut}. For \textsc{Max Cut}, \textsc{Sparsest Cut}, and \textsc{Vertex Cover}, we give sub exponential algorithms with improved approximations on some interesting subclasses of instances. Khot's Unique Games Conjecture (UGC) states that it is NP-hard to achieve approximation guarantees such as ours for the \textsc{Unique Games}. While our results stop short of refuting the UGC, they do suggest that \textsc{Unique Games} is significantly easier than NP-hard problems such as \textsc{Max 3Sat}, \textsc{Max 3Lin}, \textsc{Label Cover} and more, that are believed not to have a sub exponential algorithm achieving a non-trivial approximation ratio. The main component in our algorithms is a new result on graph decomposition that may have other applications. Namely we show that for every $\epsilon0$ and every regular $n$-vertex graph~$G$, by changing at most $\epsilon$ fraction of $G$'s edges, one can break~$G$ into disjoint parts so that the stochastic adjacency matrix of the induced graph on each part has at most $ n^{\epsilon}$ eigenvalues larger than $1-\eta$, where $\eta$ depends polynomially on $\epsilon$.
Year
DOI
Venue
2010
10.1145/2775105
Journal of the ACM (JACM)
Keywords
Field
DocType
Approximation Algorithms,Unique Games,Subexponential Algorithms,Spectral Methods,Eigenvalues,Graph Decompositions,Constraint Satisfaction Problems
Adjacency matrix,Graph theory,Approximation algorithm,Discrete mathematics,Combinatorics,Disjoint sets,Polynomial,Unique games conjecture,Algorithm,Vertex cover,Maximum cut,Mathematics
Conference
Volume
Issue
ISSN
62
5
0004-5411
ISBN
Citations 
PageRank 
978-1-4244-8525-3
31
1.17
References 
Authors
44
3
Name
Order
Citations
PageRank
Sanjeev Arora14508379.31
Boaz Barak22563127.61
David Steurer393444.91