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Clean numerical simulation: a new strategy to obtain reliable solutions of chaotic dynamic systems

机译:清洁数值模拟:获取混沌动态系统可靠解决方案的新策略

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摘要

In this paper we compare the reliability of numerical simulations given bythe classical symplectic integrator (SI) and the clean numerical simulation(CNS) for chaotic Hamiltonian systems. The chaotic H'{e}non-Heiles system andthe famous three-body problem are used as examples for comparison. It is foundthat the numerical simulations given by the symplectic integrator indeedpreserves the conservation of the total energy of system quite well. However,their orbits quickly depart away from each other. Thus, the SI can not give areliable long-term evolution of orbits for these chaotic Hamiltonian systems.Fortunately, the CNS can give the convergent, reliable long-term evolution ofsolution trajectory with rather small deviations from the total energy. All ofthese suggest that the CNS could provide us a better and more reliable way thanthe SI to investigate chaotic Hamiltonian systems, from the microscopic quantumchaos to the macroscopic solar system.
机译:在本文中,我们比较了古典杂项积分器(SI)给出的数值模拟的可靠性以及混沌哈密顿系统的清洁数值模拟(CNS)。混沌H '{E}非Heile System和着名的三体问题用作比较的示例。它是由辛集成商给出的数值模拟,这使得PrevesServes巩固了系统的总能量。然而,他们的轨道迅速彼此偏离。因此,Si不能为这些混乱的Hamiltonian系统提供可接受的长期演变。若令人缺乏,CNS可以提供​​与总能量相当小的偏差的血液轨迹的会聚,可靠的长期演进。所有这些都表明,CNS可以为我们提供更好,更可靠的方式Thanthe Si调查混沌Hamiltonian系统,从微观量子核对宏观太阳系。

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    Xiaoming Li; Shijun Liao;

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  • 年度 2018
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