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arXiv 0802.3347cond-mat.stat-mechphysics.soc-phq-bio.PE
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无标度网络上的玻色反应扩散过程

Bosonic reaction-diffusion processes on scale-free networks

Andrea Baronchelli, Michele Catanzaro, Romualdo Pastor-Satorras

摘要:

反应扩散过程可以用来模拟复杂网络上的大量动力学过程,如运输过程或流行病爆发。然而,在大多数情况下,它们都是从费米子的角度来研究的,其中每个顶点最多可以被一个粒子占据。虽然仍然有用,但这种方法存在一些缺点,最重要的可能是难以同时实施涉及两个以上粒子的反应。在这里,我们介绍了一个一般的框架,研究玻色子反应扩散过程的复杂网络,其中没有限制的相互作用的粒子的数量,一个顶点可以主机。我们用连续时间非均匀场论对这些过程进行了理论描述,并将它们分为两大类:稳态过程和单调衰减过程。我们分析的具体例子,这两种行为的类内的一个物种的过程中,比较的结果(只要可能)与相应的费米同行。我们发现粒子密度的时间演化和临界性质与过程的费米子或玻色子性质无关,而在给定的度类k中,占据顶点密度的函数形式存在差异。我们实现了一个连续的时间蒙特卡罗算法,非常适合一般玻色子模拟,这使我们能够确认平均场论内制定的分析预测。我们的结果,无论是在理论和数值水平上,可以很容易地推广到解决更复杂的,多物种,反应扩散过程,并打开一个有前途的道路,这种动力系统的一般研究和分类的复杂网络。

英文摘要:

Reaction-diffusion processes can be adopted to model a large number of dynamics on complex networks, such as transport processes or epidemic outbreaks. In most cases, however, they have been studied from a fermionic perspective, in which each vertex can be occupied by at most one particle. While still useful, this approach suffers from some drawbacks, the most important probably being the difficulty to implement reactions involving more than two particles simultaneously. Here we introduce a general framework for the study of bosonic reaction-diffusion processes on complex networks, in which there is no restriction on the number of interacting particles that a vertex can host. We describe these processes theoretically by means of continuous time heterogeneous mean-field theory and divide them into two main classes: steady state and monotonously decaying processes. We analyze specific examples of both behaviors within the class of one-species process, comparing the results (whenever possible) with the corresponding fermionic counterparts. We find that the time evolution and critical properties of the particle density are independent of the fermionic or bosonic nature of the process, while differences exist in the functional form of the density of occupied vertices in a given degree class k. We implement a continuous time Monte Carlo algorithm, well suited for general bosonic simulations, which allow us to confirm the analytical predictions formulated within mean-field theory. Our results, both at the theoretical and numerical level, can be easily generalized to tackle more complex, multi-species, reaction-diffusion processes, and open a promising path for a general study and classification of this kind of dynamical systems on complex networks.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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