Nonlinear Sciences – Adaptation and Self-Organizing Systems
Scientific paper
2004-07-09
IEEE Transactions on Circuits and Systems-I, Vol. 53 (1): 92-98, 2006
Nonlinear Sciences
Adaptation and Self-Organizing Systems
v2: A new theorem and a numerical example added. To appear in IEEE Trans. Circuits and Systems I: Fundamental Theory and Appli
Scientific paper
10.1109/TCSI.2005.854604
We show that the degree distributions of graphs do not suffice to characterize the synchronization of systems evolving on them. We prove that, for any given degree sequence satisfying certain conditions, there exists a connected graph having that degree sequence for which the first nontrivial eigenvalue of the graph Laplacian is arbitrarily close to zero. Consequently, complex dynamical systems defined on such graphs have poor synchronization properties. The result holds under quite mild assumptions, and shows that there exists classes of random, scale-free, regular, small-world, and other common network architectures which impede synchronization. The proof is based on a construction that also serves as an algorithm for building non-synchronizing networks having a prescribed degree distribution.
Atay Fatihcan M.
Biyikoglu Tuerker
Jost Juergen
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