Asymptotic spectral analysis of growing regular graphs

  • Hora A
  • Obata N
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Abstract

We propose the quantum probabilistic techniques to obtain the asymptotic spectral distribution of the adjacency matrix of a growing regular graph. We prove the quantum central limit theorem for the adjacency matrix of a growing regular graph in the vacuum and deformed vacuum states. The condition for the growth is described in terms of simple statistics arising from the stratification of the graph. The asymptotic spectral distribution of the adjacency matrix is obtained from the classical reduction.

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APA

Hora, A., & Obata, N. (2007). Asymptotic spectral analysis of growing regular graphs. Transactions of the American Mathematical Society, 360(2), 899–923. https://doi.org/10.1090/s0002-9947-07-04232-8

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