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A direct proof for the matrix decomposition of chordal-structured positive semidefinite matrices

机译:弦结构正半定矩阵矩阵分解的直接证明

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Agler, Helton, McCullough, and Rodman proved that a graph is chordal if and only if any positive semidefinite (PSD) symmetric matrix, whose nonzero entries are specified by a given graph, can be decomposed as a sum of PSD matrices corresponding to the maximal cliques. This decomposition is recently exploited to solve positive semidefinite programming efficiently. Their proof is based on a characterization for PSD matrix completion of a chordal-structured matrix due to Grone, Johnson, Sá, and Wolkowicz. This note gives a direct and simpler proof for the result of Agler et al., which leads to an alternative proof of Grone et al.
机译:Agler,Helton,McCullough和Rodman证明,只有当任何正半定(PSD)对称矩阵(由给定图指定其非零项)可以分解为对应于最大值的PSD矩阵的总和时,该图才是弦的。集团。最近利用这种分解来有效地解决正半定编程。他们的证明是基于Grone,Johnson,Sá和Wolkowicz提出的弦结构矩阵的PSD矩阵完成的表征。该注释为Agler等人的结果提供了直接而简单的证明,从而导致了Grone等人的另一种证明。

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