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arXiv 2303.17138math.CO
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图的强谱性质:图操作与杠铃划分

The Strong Spectral Property of Graphs: Graph Operations and Barbell Partitions

Sarah Allred, Emelie Curl, Shaun Fallat, Shahla Nasserasr, Houston Schuerger, Ralihe R. Villagrán, Prateek K. Vishwakarma

AI总结:

本文研究满足强谱性质的图类$G^{SSP}$,探讨杠铃划分作为其成员资格的已知障碍,并分析在各种标准图操作下杠铃划分的存在性。

摘要:

矩阵满足强谱性质的效用已被充分确立,特别是在与图的逆特征值问题的联系中。最近,所有关联对称矩阵均具有强谱性质(记为$G^{SSP}$)的图类得到了研究,沿着这些思路,我们旨在研究展现所谓杠铃划分的图的性质。这种划分是$G^{SSP}$类成员资格的已知障碍。特别地,我们考虑在各种标准且有用的图操作下杠铃划分的存在性。

英文摘要:

The utility of a matrix satisfying the Strong Spectral Property has been well established particularly in connection with the inverse eigenvalue problem for graphs. More recently the class of graphs in which all associated symmetric matrices possess the Strong Spectral Property (denoted $G^{SSP}$) were studied, and along these lines we aim to study properties of graphs that exhibit a so-called barbell partition. Such a partition is a known impediment to membership in the class $G^{SSP}$. In particular we consider the existence of barbell partitions under various standard and useful graph operations.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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