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具有长程传播的定向渗流场论

Field theory of directed percolation with long-range spreading.

作者信息

Janssen Hans-Karl, Stenull Olaf

机构信息

Institut für Theoretische Physik III, Heinrich-Heine-Universität, 40225 Düsseldorf, Germany.

出版信息

Phys Rev E Stat Nonlin Soft Matter Phys. 2008 Dec;78(6 Pt 1):061117. doi: 10.1103/PhysRevE.78.061117. Epub 2008 Dec 16.

DOI:10.1103/PhysRevE.78.061117
PMID:19256812
Abstract

It is well established that the phase transition between survival and extinction in spreading models with short-range interactions is generically associated with the directed percolation (DP) universality class. In many realistic spreading processes, however, interactions are long ranged and well described by Lévy flights-i.e., by a probability distribution that decays in d dimensions with distance r as r;{-d-sigma} . We employ the powerful methods of renormalized field theory to study DP with such long-range Lévy-flight spreading in some depth. Our results unambiguously corroborate earlier findings that there are four renormalization group fixed points corresponding to, respectively, short-range Gaussian, Lévy Gaussian, short-range, and Lévy DP and that there are four lines in the (sigma,d) plane which separate the stability regions of these fixed points. When the stability line between short-range DP and Lévy DP is crossed, all critical exponents change continuously. We calculate the exponents describing Lévy DP to second order in an epsilon expansion, and we compare our analytical results to the results of existing numerical simulations. Furthermore, we calculate the leading logarithmic corrections for several dynamical observables.

摘要

在具有短程相互作用的传播模型中,生存与灭绝之间的相变通常与定向渗流(DP)普适类相关,这一点已得到充分证实。然而,在许多实际的传播过程中,相互作用是长程的,并且可以用 Lévy 飞行很好地描述——即,由一个在 d 维中随距离 r 按 r^(-d - σ) 衰减的概率分布来描述。我们运用重整化场论的强大方法深入研究具有这种长程 Lévy 飞行传播的 DP。我们的结果明确地证实了早期的发现,即存在四个重整化群不动点,分别对应短程高斯、Lévy 高斯、短程和 Lévy DP,并且在 (σ, d) 平面中有四条线将这些不动点的稳定区域分隔开。当跨越短程 DP 和 Lévy DP 之间的稳定线时,所有临界指数都会连续变化。我们在 ε 展开中计算描述 Lévy DP 的指数到二阶,并将我们的解析结果与现有数值模拟的结果进行比较。此外,我们计算了几个动力学可观测量的主导对数修正。

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