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被动粒子在流动网络上的平流。

Advection of passive particles over flow networks.

作者信息

Hata Shigefumi, Nakao Hiroya, Mikhailov Alexander S

机构信息

Department of Physical Chemistry, Fritz Haber Institute of the Max Planck Society, Faradayweg 4-6, 14195 Berlin, Germany.

Department of Mechanical and Environmental Informatics, Tokyo Institute of Technology, Ookayama 2-12-1, 152-8552 Tokyo, Japan.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2014 Feb;89(2):020801. doi: 10.1103/PhysRevE.89.020801. Epub 2014 Feb 28.

Abstract

The problem of stochastic advection of passive particles by circulating conserved flows on networks is formulated and investigated. The particles undergo transitions between the nodes, with the transition rates determined by the flows passing through the links. Such stochastic advection processes lead to mixing of particles in the network and, in the final equilibrium state, concentration of particles in all nodes becomes equal. As we find, equilibration begins in the subset of nodes, representing flow hubs, and extends to the periphery nodes with weak flows. This behavior is related to the effect of localization of the eigenvectors of the advection matrix for considered networks. Applications of the results to problems involving spreading of infections or pollutants by traffic networks are discussed.

摘要

阐述并研究了网络上守恒流循环对被动粒子的随机平流问题。粒子在节点间发生转移,转移速率由通过链路的流决定。这种随机平流过程导致网络中粒子的混合,在最终平衡状态下,所有节点的粒子浓度变得相等。我们发现,平衡始于代表流枢纽的节点子集,并扩展到流较弱的外围节点。这种行为与所考虑网络的平流矩阵特征向量的局域化效应有关。讨论了该结果在涉及交通网络中感染或污染物传播问题上的应用。

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