Ordering kinetics with long-range interactions: interpolating between voter and Ising models

IF 2.2 3区 物理与天体物理 Q2 MECHANICS
Federico Corberi, Salvatore dello Russo and Luca Smaldone
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引用次数: 0

Abstract

We study the ordering kinetics of a generalization of the voter model with long-range interactions, the p-voter model, in one dimension. It is defined in terms of Boolean variables Si, agents or spins, located on sites i of a lattice, each of which takes in an elementary move the state of the majority of p other agents at distances r chosen with probability . For p = 2 the model can be exactly mapped onto the case with p = 1, which amounts to the voter model with long-range interactions decaying algebraically. For , instead, the dynamics falls into the universality class of the one-dimensional Ising model with long-ranged coupling constant quenched to small finite temperatures. In the limit , a crossover to the (different) behavior of the long-range Ising model quenched to zero temperature is observed. Since for p > 3 a closed set of differential equations cannot be found, we employed numerical simulations to address this case.
具有长程相互作用的有序动力学:选民模型与伊辛模型之间的内插关系
我们研究的是具有长程相互作用的选民模型的广义化,即一维的 p 选民模型的排序动力学。该模型由布尔变量 Si(代理或自旋)定义,代理或自旋位于晶格的 i 个位点上,每个代理在一次基本移动中,都会以概率为 . 的方式选择距离为 r 的 p 个其他代理的多数状态。当 p = 2 时,该模型可以完全映射到 p = 1 的情况,这相当于长程相互作用代数衰减的选民模型。而当 p = 2 时,动力学则属于一维伊辛模型的普遍性范畴,其长程耦合常数被淬火到很小的有限温度。在极限条件下,可以观察到与淬火到零温度的长程伊辛模型的(不同)行为交叉。由于无法找到 p > 3 的封闭微分方程组,我们采用了数值模拟来解决这种情况。
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来源期刊
CiteScore
4.50
自引率
12.50%
发文量
210
审稿时长
1.0 months
期刊介绍: JSTAT is targeted to a broad community interested in different aspects of statistical physics, which are roughly defined by the fields represented in the conferences called ''Statistical Physics''. Submissions from experimentalists working on all the topics which have some ''connection to statistical physics are also strongly encouraged. The journal covers different topics which correspond to the following keyword sections. 1. Quantum statistical physics, condensed matter, integrable systems Scientific Directors: Eduardo Fradkin and Giuseppe Mussardo 2. Classical statistical mechanics, equilibrium and non-equilibrium Scientific Directors: David Mukamel, Matteo Marsili and Giuseppe Mussardo 3. Disordered systems, classical and quantum Scientific Directors: Eduardo Fradkin and Riccardo Zecchina 4. Interdisciplinary statistical mechanics Scientific Directors: Matteo Marsili and Riccardo Zecchina 5. Biological modelling and information Scientific Directors: Matteo Marsili, William Bialek and Riccardo Zecchina
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