H$^+$-Eigenvalues of Laplacian and Signless Laplacian Tensors

By Liqun Qi. 2013

193 citations recorded by the source corpus.

We propose a simple and natural definition for the Laplacian and the signless Laplacian tensors of a uniform hypergraph. We study their H$^+$-eigenvalues, i.e., H-eigenvalues with nonnegative H-eigenvectors, and H$^{++}$-eigenvalues, i.e., H-eigenvalues with positive H-eigenvectors. We show that each of the Laplacian tensor, the signless Laplacian tensor and the adjacency tensor has at most one H$^{++}$-eigenvalue, but has several other H$^+$-eigenvalues. We identify their largest and smallest H$^+$-eigenvalues, and establish some maximum and minimum properties of these H$^+$-eigenvalues. We then define analytic connectivity of a uniform hypergraph and discuss its application in edge connectivity.

Subfields: Biomaterials, Computational Mathematics, Radiology, Nuclear Medicine and Imaging

View Paper: https://www.semanticscholar.org/paper/47e9f92f130c4140b72a0ff2d50f045b9240e7d7

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Biomaterials

  1. Yisheng Song
  2. Chaoqian Li
  3. Yaotang Li
  4. J. Shao
  5. Zhongming Chen
  6. Shenglong Hu
  7. Haibin Chen
  8. Weiyang Ding

In Computational Mathematics

  1. Chaoqian Li
  2. Yaotang Li
  3. Liqun Qi
  4. J. Shao
  5. Yisheng Song
  6. Aiquan Jiao
  7. Haibin Chen
  8. Shenglong Hu

In Radiology, Nuclear Medicine and Imaging

  1. Chaoqian Li
  2. Yaotang Li
  3. Haibin Chen
  4. Yisheng Song
  5. Aiquan Jiao
  6. Liqun Qi
  7. Zhongming Chen
  8. J. Shao

Citations in the corpus