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Matrix Approach to Formulate and Search k-ESS of Graphs Using the STP Theory

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  • Jumei Yue
  • Yongyi Yan
  • He Deng
  • Xian-Ming Gu

Abstract

In this paper, the structure of graphs in terms of k-externally stable set (k-ESS) is investigated by a matrix method based on a new matrix product, called semitensor product of matrices. By defining an eigenvector and an eigenvalue of the node subset of a graph, three necessary and sufficient conditions of k-ESS, minimum k-ESS, and k-kernels of graphs are proposed in a matrix form, respectively. Using these conditions, the concepts of k-ESS matrix, minimum k-ESS matrix, and k-kernel matrix are introduced. These matrices provide complete information of the corresponding structures of a graph. Further, three algorithms are designed, respectively, to find all these three structures of a graph by conducting a series of matrix operation. Finally, the correctness and effectiveness of the results are checked by studying an example. The proposed method and results may offer a new way to investigate the problems related to graph structures in the field of network systems.

Suggested Citation

  • Jumei Yue & Yongyi Yan & He Deng & Xian-Ming Gu, 2021. "Matrix Approach to Formulate and Search k-ESS of Graphs Using the STP Theory," Journal of Mathematics, Hindawi, vol. 2021, pages 1-12, July.
  • Handle: RePEc:hin:jjmath:7230661
    DOI: 10.1155/2021/7230661
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