A discrete computer network model with expanding dimensions

dc.creatorShi, Yuming
dc.creatorChen, Guanrong
dc.date2007-05-07
dc.date.accessioned2026-07-07T07:59:45Z
dc.date.available2026-07-07T07:59:45Z
dc.descriptionComplex networks with expanding dimensions are studied, where the networks may be directed and weighted, and network nodes are varying in discrete time in the sense that some new nodes may be added and some old nodes may be removed from time to time. A model of such networks in computer data transmission is discussed. Each node on the network has fixed dimensionality, while the dimension of the whole network is defined by the total number of nodes. Based on the spectacular properties of data transmission on computer networks, some new concepts of stable and unstable networks differing from the classical Lyapunov stability are defined. In particular, a special unstable network model, called devil network, is introduced and discussed. It is further found that a variety of structures and connection weights affects the network stability substantially. Several criteria on stability, instability, and devil network are established for a rather general class of networks, where some conditions are actually necessary and sufficient. Mathematically, this paper makes a first attempt to rigorously formulate a fundamental issue of modeling discrete linear time-varying systems with expanding dimensions and study their basic stability property.
dc.description14 pages, 0 figures, 6 referecnes
dc.identifierhttps://arxiv.org/abs/0705.0855
dc.identifierhttp://arxiv.org/abs/0705.0855
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/128488
dc.subjectChaotic Dynamics
dc.titleA discrete computer network model with expanding dimensions
dc.typetext

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