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Linearly independent vertices and minimum semidefinite rank

โœ Scribed by Philip Hackney; Benjamin Harris; Margaret Lay; Lon H. Mitchell; Sivaram K. Narayan; Amanda Pascoe


Publisher
Elsevier Science
Year
2009
Tongue
English
Weight
457 KB
Volume
431
Category
Article
ISSN
0024-3795

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โœฆ Synopsis


We study the minimum semidefinite rank of a graph using vector representations of the graph and of certain subgraphs. We present a sufficient condition for when the vectors corresponding to a set of vertices of a graph must be linearly independent in any vector representation of that graph, and conjecture that the resulting graph invariant is equal to minimum semidefinite rank. Rotation of vector representations by a unitary matrix allows us to find the minimum semidefinite rank of the join of two graphs. We also improve upon previous results concerning the effect on minimum semidefinite rank of the removal of a vertex.


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For a simple graph G on n vertices, the minimum rank of G over a field F, written as mr F (G), is defined to be the smallest possible rank among all n ร— n symmetric matrices over F whose (i, j)th entry (for i / = j) is nonzero whenever {i, j} is an edge in G and is zero otherwise. A symmetric integ