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arXiv 1101.0571cond-mat.stat-mech
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我们还能从布朗运动中学到什么?

What can we still learn from Brownian motion?

Qiuping A. Wang

摘要:

最近对受保守力作用的保守机械或弱阻尼布朗运动的随机运动的数值模拟结果表明,在高斯随机力的情况下,路径概率指数地依赖于拉格朗日作用量。这种分布隐含着一个基本原理,概括了汉密尔顿/拉格朗日力学的最小作用量原理,并产生了随机动力学力学的扩展形式。在这个理论中,刘维尔相位分布守恒定理被打破。这为玻尔兹曼H定理开辟了一条道路。我们认为,随机性是一个至关重要的区别两个王国的哈密顿/拉格朗日力学:随机动力学和定期的,这是一个特殊的情况下,第一个消失的随机性。这一区别是失踪的批评这一定理从洛施托,庞加莱和策梅洛。

英文摘要:

Recent result of the numerical simulation of stochastic motion of conservative mechanical or weakly damped Brownian motion subject to conservative forces reveals that, in the case of Gaussian random forces, the path probability depends exponentially on Lagrangian action. This distribution implies a fundamental principle generalizing the least action principle of the Hamiltonian/Lagrangian mechanics and yields an extended formalism of mechanics for random dynamics. Within this theory, Liouville theorem of conservation of phase distribution breaks down. This opens a way to the Boltzmann H theorem. We argue that the randomness is a crucial distinction between two kingdoms of Hamiltonian/Lagrangian mechanics: the stochastic dynamics and the regular one which is a special case of the first one for vanishing randomness. This distinction was missing in the criticisms of this theorem from Loschmidt, Poincaré and Zermelo.

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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