Minimizing effective resistance of a graph

被引:298
作者
Ghosh, Arpita [1 ]
Boyd, Stephen [1 ]
Saberi, Amin [2 ]
机构
[1] Stanford Univ, Dept Elect Engn, Stanford, CA 94305 USA
[2] Stanford Univ, Dept Management Sci & Engn, Stanford, CA 94305 USA
关键词
weighted Laplacian eigenvalues; electrical network; weighted graph;
D O I
10.1137/050645452
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
The effective resistance between two nodes of a weighted graph is the electrical resistance seen between the nodes of a resistor network with branch conductances given by the edge weights. The effective resistance comes up in many applications and fields in addition to electrical network analysis, including, for example, Markov chains and continuous-time averaging networks. In this paper we study the problem of allocating edge weights on a given graph in order to minimize the total effective resistance, i.e., the sum of the resistances between all pairs of nodes. We show that this is a convex optimization problem and can be solved efficiently either numerically or, in some cases, analytically. We show that optimal allocation of the edge weights can reduce the total effective resistance of the graph (compared to uniform weights) by a factor that grows unboundedly with the size of the graph. We show that among all graphs with n nodes, the path has the largest value of optimal total effective resistance and the complete graph has the least.
引用
收藏
页码:37 / 66
页数:30
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