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arXiv 2011.06976cond-mat.stat-mech
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正方形格子上$k$ -mer体系熵的Ma方法计算

Calculating entropy by Ma's method for a system of $k$-mers on a square lattice

Denis V Kokosinskii, Mikhail V Ulyanov

摘要:

玻尔兹曼熵是任何动力系统的重要特征。对于大型系统,直接计算玻尔兹曼熵作为当前宏观态的微观态总数的对数是困难的。在研究$k$ -聚体($k$相邻单元的线性片段)在晶格上的扩散的情况下,对可能的微观状态进行计数的复杂性随着系统中$k$ -聚体的数量呈指数增长。这个问题的明显解决方案是只获得熵的估计值,因为这是更快的计算。二维滑动窗口技术可用于将晶格上的$k$ -mer系统划分为子系统。我们使用马的“巧合”的方法来估计这样的子系统的可能状态的总数。在这项研究中,马的方法的准确性进行了研究,在一个简单的组合模型,实验和理论。我们确定该方案的“巧合”的定义导致更高的精度。当忽略$k$ -聚体之间的复杂相互作用时,Ma对$k$ -聚体系统的可能状态数的估计与使用“朴素”方法获得的估计相关性很好。

英文摘要:

Boltzmann's entropy is an important feature of any dynamic system. Calculating Boltzmann's entropy directly as the logarithm of the total number of microstates for a current macrostate is difficult for large systems. In the case of studying the diffusion of $k$-mers (linear segments of $k$ adjacent cells) on a lattice, the complexity of counting the possible microstates grows exponentially with the number of $k$-mers in the system. The obvious solution to this problem is to obtain only an estimate for the entropy, as this is faster to calculate. The 2D sliding window technique can be used to divide a system of $k$-mers on a lattice into subsystems. We use Ma's "coincidence" method to estimate the total number of possible states for such subsystems. In this study, the accuracy of Ma's method is studied in a simple combinatory model, both experimentally and theoretically. We determine which definition of "coincidence" for this scheme leads to greater accuracy. Where complex interactions between $k$-mers are ignored, Ma's estimate of the number of possible states for a system of $k$-mers correlates well with the estimate obtained using a "naive" method.

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