Abstract
In this chapter we show how the topology of a particular network model influences the thermodynamic behavior of a dynamical system defined on it, namely, the Hamiltonian XY rotor model. More specifically, following an introduction, we first consider the regular networks described in De Nigris and Leoncini (EPL, 101(1):10002, 2013). We show analytically that by reducing the degree to only two links per node, long-range order is still present, provided that one of the links connects two nodes that are “far enough,” that is, beyond the \(\sqrt{ N}\) threshold. The results are then confirmed numerically. Given these findings, we return to the network topology. We introduce the notion of an effective (fractal-like) network dimension and devise a method of building a class of networks (lace networks) with a given underlying dimension, \(d \in [1,\:+\infty [\), that can be tuned either by using a rewiring probability or by changing with the considered system’s size. Our findings point to d c = 2 as the critical dimension between networks displaying long-range order and those where it is absent. We show as well that the critical so-called chaotic states arising in De Nigris and Leoncini (EPL, 101(1):10002, 2013) can be recovered by building lace networks with d = 2. We have therefore devised a more generic and general way to construct networks capable of sustaining infinite susceptibility over a finite range of energies, i.e., possibly robust to eventual external quantitative thermal variations.
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de Nigris, S., Leoncini, X. (2016). Hidden dimensions in an Hamiltonian system on networks. In: Afraimovich, V., Machado, J., Zhang, J. (eds) Complex Motions and Chaos in Nonlinear Systems. Nonlinear Systems and Complexity, vol 15. Springer, Cham. https://doi.org/10.1007/978-3-319-28764-5_6
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