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On the Motion of Substance in a Channel of a Network: Extended Model and New Classes of Probability Distributions

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Kantz,  Holger
Max Planck Institute for the Physics of Complex Systems, Max Planck Society;

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Citation

Vitanov, N. K., Vitanov, K. N., & Kantz, H. (2020). On the Motion of Substance in a Channel of a Network: Extended Model and New Classes of Probability Distributions. Entropy, 22(11): 1240. doi:10.3390/e22111240.


Cite as: http://hdl.handle.net/21.11116/0000-0007-F5DA-F
Abstract
We discuss the motion of substance in a channel containing nodes of a network. Each node of the channel can exchange substance with: (i) neighboring nodes of the channel, (ii) network nodes which do not belong to the channel, and (iii) environment of the network. The new point in this study is that we assume possibility for exchange of substance among flows of substance between nodes of the channel and: (i) nodes that belong to the network but do not belong to the channel and (ii) environment of the network. This leads to an extension of the model of motion of substance and the extended model contains previous models as particular cases. We use a discrete-time model of motion of substance and consider a stationary regime of motion of substance in a channel containing a finite number of nodes. As results of the study, we obtain a class of probability distributions connected to the amount of substance in nodes of the channel. We prove that the obtained class of distributions contains all truncated discrete probability distributions of discrete random variable omega which can take values 0,1,MIDLINE HORIZONTAL ELLIPSIS,N. Theory for the case of a channel containing infinite number of nodes is presented in Appendix A. The continuous version of the discussed discrete probability distributions is described in Appendix B. The discussed extended model and obtained results can be used for the study of phenomena that can be modeled by flows in networks: motion of resources, traffic flows, motion of migrants, etc.