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Goemans-Linial Relaxation


The Goemans-Linial relaxation is a semidefinite programming optimization relaxation of sparsest cut. For uniform sparsest cut of a graph G on n>=2 vertices, let c_(ij) be nonnegative capacities on unordered pairs and assign vectors x_i in R^n to the vertices. Put d_(ij)=||x_i-x_j||_2^2, the squared Euclidean distance. The relaxed optimum is

 GL(G)=minsum_(i<j)c_(ij)d_(ij)

subject to sum_(i<j)d_(ij)=1 and all triangle inequalities d_(ij)<=d_(ik)+d_(kj). Distinct vertices may have zero distance. For a cut with part S, taking d_(ij)=1/(|S|(n-|S|)) on separated pairs and 0 on the other pairs is feasible, so GL(G)<=Phi(G), the uniform sparsest cut optimum.


See also

Integrality Gap, Optimization Relaxation, Semidefinite Programming, Sparsest Cut, Uniform Sparsest Cut

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References

Naor, A. and Young, R. "Vertical Perimeter Versus Horizontal Perimeter." Ann. Math. 188, 171-279, 2018. https://doi.org/10.4007/annals.2018.188.1.4.

Cite this as:

Weisstein, Eric W. "Goemans-Linial Relaxation." From MathWorld--A Wolfram Resource. https://mathworld.wolfram.com/Goemans-LinialRelaxation.html

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