Multifractality in random networks with power-law decaying bond strengths

Abstract

In this paper we demonstrate numerically that random networks whose adjacency matrices $\mathbf{A}$ are represented by a diluted version of the Power--Law Banded Random Matrix (PBRM) model have multifractal eigenfunctions. The PBRM model describes one--dimensional samples with random long--range bonds. The bond strengths of the model, which decay as a power--law, are tuned by the parameter $\mu$ as $A_{mn}\propto |m-n{|}^{-\mu }$; while the sparsity is driven by the average network connectivity $\alpha$: for $\alpha =0$ the vertices in the network are isolated and for $\alpha =1$ the network is fully connected and the PBRM model is recovered. Though it is known that the PBRM model has multifractal eigenfunctions at the critical value $\mu ={\mu }_c=1$, we clearly show [from the scaling of the relative fluctuation of the participation number $I_2$ as well as the scaling of the probability distribution functions $P(\ln I_2)$] the existence of the critical value ${\mu }_c\equiv {\mu }_c(\alpha )$ for $\alpha <1$. Moreover, we characterise the multifractality of the eigenfunctions of our random network model by the use of the corresponding multifractal dimensions $D_q$, that we compute from the finite network-size scaling of the typical eigenfunction participation numbers $\exp ⟨\ln I_q⟩$.

7 pages, including 5 figures. Submitted for publication

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