Information Entropy of Tight-Binding Random Networks with Losses and Gain: Scaling and Universality

We study the localization properties of the eigenvectors, characterized by their information entropy, of tight-binding random networks with balanced losses and gain. The random network model, which is based on Erdős–Rényi (ER) graphs, is defined by three parameters: the network size N, the network c...

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Detalles Bibliográficos
Autores principales: Martínez-Martínez, C. T., Méndez-Bermúdez, J. A.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2019
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514196/
https://www.ncbi.nlm.nih.gov/pubmed/33266802
http://dx.doi.org/10.3390/e21010086

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7514196/
https://www.ncbi.nlm.nih.gov/pubmed/33266802
http://dx.doi.org/10.3390/e21010086

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