Embedded in the Shadow of the Separator
SIAM Journal on Optimization
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The second smallest eigenvalue of the Laplace matrix of a graph and its eigenvectors, also known as Fiedler vectors in spectral graph partitioning, carry significant structural information regarding the connectivity of the graph. Using semidefinite programming duality, we offer a geometric interpretation of this eigenspace as optimal solution to a graph realization problem. A corresponding interpretation is also given for the eigenspace of the maximum eigenvalue of the Laplacian.