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arXiv 1012.1387cond-mat.stat-mech
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开边界条件下非对称简单排它过程当前大偏差函数的数值估计

Numerical Estimation of the Current Large Deviation Function in the Asymmetric Simple Exclusion Process with Open Boundary Conditions

Tetsuya Mitsudo, Shinji Takesue

摘要:

我们数值研究了具有开边界条件的对称和非对称简单排斥过程的总电流的大偏差函数,总电流是所有键上的局部电流之和。我们通过计算修正的转移矩阵的最大特征值和人口蒙特卡罗模拟来估计生成函数。因此,我们发现了一些有趣的行为,没有观察到的完全可解的情况下,以前研究如下。生成函数的偶数和奇数部分显示出不同的系统尺寸依赖性。在小系统中,电流的不同定义导致相同的生成函数。总电流的使用在蒙特卡罗估计中很重要。此外,非对称简单排斥过程的大偏差函数出现尖点。我们还讨论了粒子数蒙特卡罗模拟的收敛性,发现在一定的参数范围内,粒子数模拟的收敛速度很慢,而且随着系统规模的增大,修正转移矩阵的最大和第二大特征值之间的差距迅速趋于消失。

英文摘要:

We numerically study the large deviation function of the total current, which is the sum of local currents over all bonds, for the symmetric and asymmetric simple exclusion processes with open boundary conditions. We estimate the generating function by calculating the largest eigenvalue of the modified transition matrix and by population Monte Carlo simulation. As a result, we find a number of interesting behaviors not observed in the exactly solvable cases studied previously as follows. The even and odd parts of the generating function show different system-size dependences. Different definitions of the current lead to the same generating function in small systems. The use of the total current is important in the Monte Carlo estimation. Moreover, a cusp appears in the large deviation function for the asymmetric simple exclusion process. We also discuss the convergence property of the population Monte Carlo simulation and find that in a certain parameter region, the convergence is very slow and the gap between the largest and second largest eigenvalues of the modified transition matrix rapidly tends to vanish with the system size.

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