Title
Consensus in Self-similar Hierarchical Graphs and Sierpiński Graphs: Convergence Speed, Delay Robustness, and Coherence.
Abstract
The hierarchical graphs and Sierpiński graphs are constructed iteratively, which have the same number of vertices and edges at any iteration, but exhibit quite different structural properties: the hierarchical graphs are nonfractal and small-world, while the Sierpiński graphs are fractal and ''large-world.'' Both graphs have found broad applications. In this paper, we study consensus problems in hierarchical graphs and Sierpiński graphs, focusing on three important quantities of consensus problems, that is, convergence speed, delay robustness, and coherence for first-order (and second-order) dynamics, which are, respectively, determined by algebraic connectivity, maximum eigenvalue, and sum of reciprocal (and square of reciprocal) of each nonzero eigenvalue of Laplacian matrix. For both graphs, based on the explicit recursive relation of eigenvalues at two successive iterations, we evaluate the second smallest eigenvalue, as well as the largest eigenvalue, and obtain the closed-form solutions to the sum of reciprocals (and square of reciprocals) of all nonzero eigenvalues. We also compare our obtained results for consensus problems on both graphs and show that they differ in all quantities concerned, which is due to the marked difference of their topological structures.
Year
DOI
Venue
2019
10.1109/TCYB.2017.2781714
IEEE transactions on cybernetics
Keywords
DocType
Volume
Eigenvalues and eigenfunctions,Laplace equations,Robustness,Delays,Coherence,Convergence,White noise
Journal
abs/1712.06496
Issue
ISSN
Citations 
2
2168-2267
3
PageRank 
References 
Authors
0.37
43
4
Name
Order
Citations
PageRank
Yi Qi182.14
Zhongzhi Zhang28522.02
Yuhao Yi3226.91
Huan Li4184.60