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Resonance in complex networks

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Resonance in complex networks

Overview

Resonance is the physical process by which the amplitude of oscillation of a dynamical system increases as the frequency of an applied periodic force approaches the natural frequency of the system.[1] Complex systems can have different resonant frequencies. Consider a network of interacting entities. These entities may be of different types and form networks of different natures, such as biological, mechanical, technological, or social networks. Regardless of their nature, one of the simplest models for representing their interaction is to consider a graph whose nodes are coupled identical harmonic oscillators. [2] Now suppose that a periodic force is applied to a specific node in the network. The network will respond differently depending on the frequency of that force, the node to which it is applied, and the node that is affected.

Let 𝐀 be the adjacency matrix describing the topological structure of the network and 𝐋 the corresponding Laplacian matrix. Then the resonant frequencies of the network are given by ωi=1+μi where μi are the eigenvalues of the Laplacian 𝐋.[3]

Details

To model the local interactions between n identical harmonic oscillators, let us refer to an undirected graph G=(V,E) without loops, where V is the set of nodes and EV×V is the set of edges. The Laplacian matrix is defined as 𝐋=𝐊𝐀, where the adjacency matrix 𝐀 encodes the actual configuration of such interactions and 𝐊=diag{ki} is the diagonal matrix of the degrees of the network nodes. Let us denote by μi and ϕi, i=1,,n, respectively the eigenvalues and eigenvectors of 𝐋, with μ1>μ2>>μn=0.

Let us set 𝐲=(𝐱𝐯)2n, where 𝐱 and 𝐯 are, respectively, the vector of the positions and the vector of the velocities of the n oscillators. The general equation describing the network driven oscillations is given by {y˙=𝐆𝐲+𝐛(t)𝐲(0)=𝐲0 where 𝐆=[𝟎𝐈(𝐈+𝐋)𝟎] and 𝐛(t)=f(t)[𝟎𝐞h] Moreover, 𝐈n×n represents the identity matrix, f(t) the periodical driving force and 𝐞h=[0,0,,1,,0]T, with 1 in position h, is in the standard basis of n.

The general solution for a sinusoidal driving force f(t)=F0sinωt acting on node h, h=1,,n, and with 𝐲(0)=𝐲0=𝟎, is given by

𝐲(t)=F0i=1nωωi2ω2ϕi(h)[(sinωtωsinωitωi)ϕi(cosωtcosωit)ϕi]

where ωi=1+μi are the resonance frequencies.[3]

Specifically, the position variables are expressed as xk(t)=F0ωi=1n1ϕi(h)ϕi(k)ω2ωi2(sinωitωisinωtω)+F0nωω21(sintsinωtω)

Note that, on the one hand, if ϕı~(h)=0, then an oscillation of frequency ω=ωı~ in the source node h cannot be spread throughout the network to any node and no resonance phenomenon can be induced from such a node with that frequency. The only frequency that is able to create a resonant state in the entire network is ωı~=ωn=1. On the other hand, if ϕı~(k)=0, then, even if ωωı~, the node k cannot resonate with the source node h at such a frequency ωı~.

References

  1. Halliday, David; Resnick, Robert; Walker, Jearl (2005). Fundamentals of Physics - Vol. part 2 (7th ed.). John Wiley & Sons Ltd. ISBN 978-0-471-71716-4. Search this book on
  2. Arenas, Alex; Díaz-Guilera, Albert; Kurths, Jurgen; Moreno, Yamir; Zhou, Changsong (2008). "Synchronization in complex networks". Physics Reports. 469 (3): 93–153. arXiv:0805.2976. Bibcode:2008PhR...469...93A. doi:10.1016/j.physrep.2008.09.002. Unknown parameter |s2cid= ignored (help)
  3. 3.0 3.1 Bartesaghi, Paolo (2023). "Notes on resonant and synchronized states in complex networks". Chaos. 33 (3): 033120. arXiv:2207.11507. Bibcode:2023Chaos..33c3120B. doi:10.1063/5.0134285. ISSN 1054-1500. PMID 37003810 Check |pmid= value (help). Unknown parameter |s2cid= ignored (help)


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