Abstract. We give a O( √ log n)-approximation algorithm for the SPARSEST CUT, EDGE EXPANSION, BALANCED SEPARATOR, and GRAPH CONDUCTANCE problems. This improves the O(log n)-approximation of Leighton and Rao (1988). We use a well-known semidefinite relaxation with triangle inequality constraints. Central to our analysis is a geometric theorem about projections of point sets in d , whose proof makes essential use of a phenomenon called measure concentration. We also describe an interesting and natural "approximate certificate" for a graph's expansion, which involves embedding an n-node expander in it with appropriate dilation and congestion. We call this an expander flow.
The unweighted version admits an O( √ log n) approximation REF .
Expander flows, geometric embeddings and graph partitioning
JACM
Mathematics Computer Science