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  • 标题:Quantum Probabilistic Approach to Spectral Analysis of Star Graphs
  • 本地全文:下载
  • 作者:Nobuaki OBATA
  • 期刊名称:Interdisciplinary Information Sciences
  • 印刷版ISSN:1340-9050
  • 电子版ISSN:1347-6157
  • 出版年度:2004
  • 卷号:10
  • 期号:1
  • 页码:41-52
  • DOI:10.4036/iis.2004.41
  • 出版社:The Editorial Committee of the Interdisciplinary Information Sciences
  • 摘要:A general method for obtaining a vacuum spectral distribution of the adjacency matrix of a star graph is established within the framework of quantum probability theory. The spectral distribution tends asymptotically to the Bernoulli distribution as the number of leaves of a star graph tends to the infinity.
  • 关键词:adjacency matrix;Boolean independence;interacting Fock space;quantum decomposition;spectral distribution;spectral gap;star graph
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