Spectral aspects of symmetric matrix signings
Spectral aspects of symmetric matrix signings
复制标题
对称矩阵签名的频谱方面
DOI:
10.1016/j.disopt.2020.100582
复制
发表时间:
2020
影响因子:
1.1
通讯作者:
Kolla, Alexandra
中科院分区:
文献类型:
--
作者:
Carlson, Charles;Chandrasekaran, Karthekeyan;Chang, Hsien-Chih;Kakimura, Naonori;Kolla, Alexandra
The spectra of signed matrices have played a fundamental role in social sciences, graph theory, and control theory. In this work, we investigate the computational problems offindingsymmetric signings of matrices with natural spectral properties. Our results are the following:1. We characterize matrices that have an invertible signing: a symmetric matrix has an invertible symmetric signingif and only ifthe support graph of the matrix contains a perfect 2-matching. Further, we present an efficient algorithm to search for an invertible symmetric signing.2. We use the above-mentioned characterization to give an algorithm to find a minimum increase in the support of a given symmetric matrix so that it has an invertible symmetric signing.3. We show NP-completeness of the following problems: verifying whether a given matrix has a symmetricoff-diagonalsigning that is singular/has bounded eigenvalues. However, we also illustrate that the complexity could differ substantially for input matrices that are adjacency matrices of graphs.We use combinatorial techniques in addition to classic results from matching theory.