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随机极值模型中的分支过程。

Branching process in a stochastic extremal model.

作者信息

Manna S S

机构信息

Max-Planck-Institute für Physik Komplexer Systeme, D-01187 Dresden, Germany.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2009 Aug;80(2 Pt 1):021132. doi: 10.1103/PhysRevE.80.021132. Epub 2009 Aug 28.

Abstract

We considered a stochastic version of the Bak-Sneppen model (SBSM) of ecological evolution where the number M of sites mutated in a mutation event is restricted to only two. Here the mutation zone consists of only one site and this site is randomly selected from the neighboring sites at every mutation event in an annealed fashion. The critical behavior of the SBSM is found to be the same as the BS model in dimensions d=1 and 2. However on the scale-free graphs the critical fitness value is nonzero even in the thermodynamic limit but the critical behavior is mean-field like. Finally M has been made even smaller than two by probabilistically updating the mutation zone, which also shows the original BS model behavior. We conjecture that a SBSM on any arbitrary graph with any small branching factor greater than unity will lead to a self-organized critical state.

摘要

我们考虑了生态进化的Bak-Sneppen模型(SBSM)的一个随机版本,其中在一个突变事件中发生突变的位点数量M被限制为仅两个。这里突变区域仅由一个位点组成,并且在每次突变事件中,该位点以退火方式从相邻位点中随机选择。发现SBSM在维度d = 1和2时的临界行为与BS模型相同。然而,在无标度图上,即使在热力学极限下临界适应度值也不为零,但临界行为类似平均场。最后,通过概率性地更新突变区域,使M甚至小于两个,这也显示出原始BS模型的行为。我们推测,在任何具有大于1的任意小分支因子的任意图上的SBSM将导致自组织临界状态。

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