Convergence Rate And Global Mean Weighted First-Passage Time In A 1d Chain Network With A Weighted Adding Reverse Edge

FRACTALS-COMPLEX GEOMETRY PATTERNS AND SCALING IN NATURE AND SOCIETY(2020)

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摘要
In this paper, a 1D chain network with a reverse weighted edge is introduced. We focus on studying the relationships including the convergence rate and the length, the convergence rate and weight of adding reverse edge relationships. Laplacian characteristic determinant is calculated and subsequently, the sum of the reciprocals of all nonzero Laplacian eigenvalues is obtained. Hence, the analytic expression of global mean weighted first-passage time (GMWFPT) can be deduced. The obtained results show that there exists a linearly positive relationship between GMWFPT and the weight r.
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关键词
Laplacian Matrix, 1D Chain Network, Weighted Reverse Edge, Global Mean Weighted First-Passage Time
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