Is Cheeger-type Approximation Possible for Nonuniform Sparsest Cut?

preprint2013arXivOpen access

Abstract

In the {\em nonuniform sparsest cut} problem, given two undirected graphs GG and HH over the same set of vertices VV, we want to find a cut (S,V−S)(S,V-S) that minimizes the ratio between the fraction of GG-edges that are cut and the fraction of HH-edges that are cut. The ratio (which is at most 1 in an optimal solution) is called the {\em sparsity} of the cut. In the {\em uniform sparsest cut} problem, HH is a clique over VV. If GG is regular, it is possible to find a solution to the uniform sparsest cut of cost O(opt)O(\sqrt{opt}) in nearly linear time. Is such an approximation, which we call "Cheege-type" approximation, achievable in the non-uniform case? We show that the answer is negative, assuming the Unique Games Conjecture, for general H. Furthermore, the Leighton-Rao linear programming relaxation and the spectral relaxation fail to find such an approximation even if HH is a clique over a subset of vertices. Using semidefinite programming, however, we can find Cheeger-type approximations in polynomial time whenever the adjacency matrix of HH has rank 1. (This includes the cases in which HH is a clique over a subset of vertices.)

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