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Intrinsic randomness and intrinsic irreversibility in classical dynamical systems

机译:经典动力系统中的内在随机性和内在不可逆性

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摘要

We continue our previous work on dynamic “intrinsically random” systems for which we can derive dissipative Markov processes through a one-to-one change of representation. For these systems, the unitary group of evolution can be transformed in this way into two distinct Markov processes leading to equilibrium for either t→ + ∞ or t→ - ∞. To lift the degeneracy, we first formulate the second principle as a selection rule that is meaningful in intrinsically random systems. For these systems, this excludes a set of unrealizable states. As a result of this exclusion, permitted initial conditions correspond to a set of states that is not invariant through velocity inversion. In this way, the time-reversal symmetry of dynamics is broken and these systems acquire a new feature we may call “intrinsic irreversibility.” The set of admitted initial conditions can be characterized by an entropy displaying the amount of information necessary for their preparation. The initial conditions selected by the second law correspond to a finite amount of information, while the initial conditions that are rejected correspond to an infinite amount of information and are therefore “impossible.” We believe that our formulation permits a microscopic formulation of the second law of thermodynamics for well-defined classes of dynamical systems.
机译:我们将继续先前关于动态“本征随机”系统的工作,通过对系统的一对一更改,我们可以得出耗散马尔可夫过程。对于这些系统,单位演化组可以通过这种方式转换为两个不同的马尔可夫过程,从而导致t→+∞或t→-∞达到平衡。为了提升简并性,我们首先将第二条原则表述为在固有随机系统中有意义的选择规则。对于这些系统,这排除了一组无法实现的状态。作为排除的结果,允许的初始条件对应于一组状态,这些状态通过速度求逆不是不变的。这样,动力学的时间反转对称性被打破了,这些系统获得了一个新特性,我们可以称其为“固有不可逆性”。一组允许的初始条件可以通过一个熵来表征,该熵显示了为其准备所需的信息量。第二定律选择的初始条件对应于有限量的信息,而被拒绝的初始条件对应于无限量的信息,因此是“不可能的”。我们相信,我们的公式允许对定义明确的动力学系统类别进行热力学第二定律的微观公式化。

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