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arXiv 2110.04793cond-mat.str-elcond-mat.quant-gasphysics.comp-ph
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Kadanoff-Baym方程的自适应数值解

Adaptive Numerical Solution of Kadanoff-Baym Equations

Francisco Meirinhos, Michael Kajan, Johann Kroha, Tim Bode

摘要:

在Kadanoff-Baym方程描述的非平衡动力学的背景下,提出了一种在步长和积分阶数上都具有自适应性的时间步长格式。通过求解精确可解模型的数值解,分析了算法的精度和有效性。我们发现一个显着减少的时间步长的数量相比,固定步长的方法。由于Kadanoff-Baym方程的至少二次缩放,减少步骤的数量可以显着增加可访问的积分时间,为相互作用系统中的长时间动力学研究打开了大门。选择说明性的例子,其中相互作用和开放量子系统以及经典的随机过程。我们的算法在科学计算语言Julia的开源实现。

英文摘要:

A time-stepping scheme with adaptivity in both the step size and the integration order is presented in the context of non-equilibrium dynamics described via Kadanoff-Baym equations. The accuracy and effectiveness of the algorithm are analysed by obtaining numerical solutions of exactly solvable models. We find a significant reduction in the number of time-steps compared to fixed-step methods. Due to the at least quadratic scaling of Kadanoff-Baym equations, reducing the amount of steps can dramatically increase the accessible integration time, opening the door for the study of long-time dynamics in interacting systems. A selection of illustrative examples is provided, among them interacting and open quantum systems as well as classical stochastic processes. An open-source implementation of our algorithm in the scientific-computing language Julia is made available.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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