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催化自扩增模型的临界行为

Critical behavior of a model for catalyzed autoamplification.

作者信息

Tchernookov Martin, Warmflash Aryeh, Dinner Aaron R

机构信息

James Franck Institute, The University of Chicago, Chicago, Illinois 60637, USA.

出版信息

J Chem Phys. 2009 Apr 7;130(13):134906. doi: 10.1063/1.3101649.

Abstract

We examine the critical behavior of a model of catalyzed autoamplification inspired by a common motif in genetic networks. Similar to models in the directed percolation (DP) universality class, a phase transition between an absorbing state with no copies of the autoamplifying species A and an active state with a finite amount of A occurs at the point at which production and removal of A are balanced. A suitable coordinate transformation shows that this model corresponds to one with three fields, one of which relaxes exponentially, one of which displays critical behavior, and one of which has purely diffusive dynamics but exerts an influence on the critical field. Using stochastic simulations that account for discrete molecular copy numbers in one, two, and three dimensions, we show that this model has exponents that are distinct from previously studied reaction-diffusion systems, including the few with more than one field (unidirectionally coupled DP processes and the diffusive epidemic process). Thus the requirement of a catalyst changes the fundamental physics of autoamplification. Estimates for the exponents of the diffusive epidemic process in two dimensions are also presented.

摘要

我们研究了一种受遗传网络中常见基序启发的催化自扩增模型的临界行为。与有向渗流(DP)普适类中的模型类似,在自扩增物种A无拷贝的吸收态和有有限量A的活跃态之间的相变发生在A的产生和去除达到平衡的点上。一种合适的坐标变换表明,该模型对应于一个具有三个场的模型,其中一个场呈指数弛豫,一个场表现出临界行为,还有一个场具有纯扩散动力学但对临界场有影响。通过在一维、二维和三维中考虑离散分子拷贝数的随机模拟,我们表明该模型的指数与先前研究的反应扩散系统不同,包括少数具有多个场的系统(单向耦合DP过程和扩散传播过程)。因此,催化剂的存在改变了自扩增的基本物理性质。我们还给出了二维扩散传播过程指数的估计值。

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