English

Multicomponent reaction-diffusion processes on complex networks

Statistical Mechanics 2009-11-11 v1 Disordered Systems and Neural Networks

Abstract

We study the reaction-diffusion process A+BA + B \to \emptyset on uncorrelated scale-free networks analytically. By a mean-field ansatz we derive analytical expressions for the particle pair-correlations and the particle density. Expressing the time evolution of the particle density in terms of the instantaneous particle pair-correlations, we determine analytically the `jamming' effect which arises in the case of multicomponent, pair-wise reactions. Comparing the relevant terms within the differential equation for the particle density, we find that the `jamming' effect diminishes in the long-time, low-density limit. This even holds true for the hubs of the network, despite that the hubs dynamically attract the particles.

Keywords

Cite

@article{arxiv.cond-mat/0608383,
  title  = {Multicomponent reaction-diffusion processes on complex networks},
  author = {Sebastian Weber and Markus Porto},
  journal= {arXiv preprint arXiv:cond-mat/0608383},
  year   = {2009}
}

Comments

8 pages, 6 figures