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Equivalence of on-lattice stochastic chemical kinetics with the well-mixed chemical master equation in the limit of fast diffusion

机译:在快速扩散的极限下,充分混合的化学主方程与晶格上随机化学动力学的等价性

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摘要

Well-mixed and lattice-based descriptions of stochastic chemical kinetics have been extensively used in the literature. Realizations of the corresponding stochastic processes are obtained by the Gillespie stochastic simulation algorithm and lattice kinetic Monte Carlo algorithms, respectively. However, the two frameworks have remained disconnected. We show the equivalence of these frameworks whereby the stochastic lattice kinetics reduces to effective well-mixed kinetics in the limit of fast diffusion. In the latter, the lattice structure appears implicitly, as the lumped rate of bimolecular reactions depends on the number of neighbors of a site on the lattice. Moreover, we propose a mapping between the stochastic propensities and the deterministic rates of the well-mixed vessel and lattice dynamics that illustrates the hierarchy of models and the key parameters that enable model reduction.
机译:随机化学动力学的良好混合和基于晶格的描述已在文献中广泛使用。相应的随机过程的实现分别通过Gillespie随机模拟算法和晶格动力学蒙特卡洛算法获得。但是,这两个框架仍然脱节。我们展示了这些框架的等效性,其中随机晶格动力学在快速扩散的极限内降低为有效充分混合的动力学。在后者中,晶格结构隐含地出现,因为双分子反应的集总速率取决于晶格上一个位点的相邻数。此外,我们提出了随机倾向与混合容器和晶格动力学的确定性之间的映射关系,该关系图说明了模型的层次结构和实现模型简化的关键参数。

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