论文标题
反流诱导的聚类:确切的结果
Counter-flow induced clustering: Exact results
论文作者
论文摘要
我们借助于确切的可解决模型,分析了反流的非毒剂随机系统中的簇形成。为了说明聚类,考虑了两个物种在周期性晶格上具有杂质的不对称的简单排除过程,其中杂质可以激活两个未保守的物种之间的翻转。由蒙特卡洛模拟支持的确切分析结果显示了两个不同的阶段,即自由流动阶段和聚类阶段。聚类阶段的特征是未经保存的物种的恒定密度和消失的电流,而自由流阶段则以非单调密度和非单调的有限电流鉴定。 $ n $ point连续空缺之间的空间相关性随着聚类阶段的增加而增加,表明在此阶段形成了两个宏观簇,其中一个空缺,另一个由所有粒子组成。我们定义一个重排参数,该参数在初始配置中排列粒子的排序,从而使所有输入参数保持固定。该重排参数揭示了非连接性对聚类开始的显着影响。为了特殊选择微观动力学,我们将本模型连接到用于模拟主动物质的运行和翻滚粒子系统,在该系统中,两个物种具有相反的净偏差的物种表现出运行和滚落颗粒的两个可能的运行方向,而杂质则是倒塌的试剂,可实现翻滚过程。
We analyze the cluster formation in a non-ergodic stochastic system as a result of counter-flow, with the aid of an exactly solvable model. To illustrate the clustering, a two species asymmetric simple exclusion process with impurities on a periodic lattice is considered, where the impurity can activate flips between the two non-conserved species. Exact analytical results, supported by Monte Carlo simulations, show two distinct phases, free flowing phase and clustering phase. The clustering phase is characterized by constant density and vanishing current of the non-conserved species, whereas the free flowing phase is identified with non-monotonic density and non-monotonic finite current of the same. The $n$-point spatial correlation between $n$ consecutive vacancies grows with increasing $n$ in the clustering phase, indicating the formation of two macroscopic clusters in this phase, one of the vacancies and the other consisting of all the particles. We define a rearrangement parameter that permutes the ordering of particles in the initial configuration, keeping all the input parameters fixed. This rearrangement parameter reveals the significant effect of non-ergodicity on the onset of clustering. For a special choice of the microscopic dynamics, we connect the present model to a system of run and tumble particles used to model active matter, where the two species having opposite net bias manifest the two possible run directions of the run and tumble particles, and the impurities act as tumbling reagents that enable the tumbling process.