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A DYNAMICAL MONTE CARLO ALGORITHM FOR MASTER EQUATIONS WITH TIME-DEPENDENT TRANSITION RATES

机译:具有时变转换率的主方程的动力学蒙特卡罗算法。

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A Monte Carlo algorithm for simulating master equations with time-dependent transition rates is described. It is based on a waiting time image, and takes into account that the system can become frozen when the transition rates tend to zero fast enough in time. An analytical justification is provided. The algorithm reduces to the Bortz-Kalos-Lebowitz one when the transition rates are constant. Since the exact evaluation of waiting times is rather involved in general, a simple and efficient iterative method for accurately calculating them is introduced. As an example, the algorithm is applied to a one-dimensional Ising system with Glauber dynamics. It is shown that it reproduces the exact analytical results, being more efficient than the direct implementation of the Metropolis algorithm. [References: 22]
机译:描述了一种用于模拟具有随时间变化的跃迁速率的主方程的蒙特卡洛算法。它基于等待时间图像,并考虑到当过渡速率在时间上足够快地趋于零时,系统可能会冻结。提供了分析依据。当过渡速率恒定时,该算法可简化为Bortz-Kalos-Lebowitz。由于通常涉及对等待时间的精确评估,因此引入了一种简单有效的迭代方法来准确计算它们。例如,该算法被应用于具有Glauber动力学的一维Ising系统。结果表明,该方法可重现准确的分析结果,比直接实施Metropolis算法更有效。 [参考:22]

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