Expander Flows, Geometric Embeddings and Graph Partitioning

被引:285
作者
Arora, Sanjeev [1 ]
Rao, Satish [2 ]
Vazirani, Umesh [2 ]
机构
[1] Princeton Univ, Dept Comp Sci, Princeton, NJ 08544 USA
[2] Univ Calif Berkeley, Dept EECS Comp Sci, Berkeley, CA 94720 USA
关键词
Algorithms; Theory; Graph partitioning; semidefinite programs; graph separators; multicommodity flows; expansion; expanders; APPROXIMATION RATIO; COMBINATORIAL; EXPANSION; CUT;
D O I
10.1145/1502793.1502794
中图分类号
TP3 [计算技术、计算机技术];
学科分类号
0812 ;
摘要
We give a O(root 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 R-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.
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页数:37
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