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幸运引擎:近最大耗散状态的概率性出现与持续存在

The Lucky Engine: Probabilistic Emergence and Persistence of Near-Maximum Dissipation States.

作者信息

Lorenz Ralph D

机构信息

Space Exploration Sector, Johns Hopkins University Applied Physics Laboratory, Laurel, MD 20723, USA.

出版信息

Entropy (Basel). 2025 Jun 27;27(7):687. doi: 10.3390/e27070687.

Abstract

A paradigm, wherein a nonequilibrium system has multiple modes of transport that can act in combination, permits the resolution of several difficulties with the notion of maximum entropy production (MaxEP or MEP). First, physical constraints, such as the density of the atmosphere or the planetary rotation rate, merely define the portfolio of modes that can be engaged by the system: physically impossible states cannot be selected. Second, with minimal sensitivity to how the system evolves, it is seen that there are simply more numerous quasi-steady microstates (combinations of modes) that are near the maximum of work output (or dissipation rate or EP) than there are far from it, and so it is more probable that the system will be observed to be near that maximum. Third, this paradigm naturally permits exploration of the system behavior when subjected to non-steady forcing. Finally, it provides a framework to explain when a system has 'enough' degrees of freedom to attain a maximum dissipation state, as opposed to the minimum dissipation state expected for certain constrained systems.

摘要

在一个非平衡系统具有多种可联合作用的输运模式的范式中,能够解决最大熵产生(MaxEP 或 MEP)概念的几个难题。首先,物理约束条件,如大气密度或行星自转速率,仅仅定义了系统能够采用的模式组合:物理上不可能的状态无法被选中。其次,由于对系统如何演化的敏感性极小,可以看出,在接近功输出(或耗散率或熵产生)最大值的地方,准稳态微观状态(模式组合)比远离该最大值的地方要多得多,因此系统更有可能被观测到接近该最大值。第三,这种范式自然地允许在系统受到非稳态强迫时探索其行为。最后,它提供了一个框架来解释一个系统何时具有“足够”的自由度以达到最大耗散状态,这与某些受约束系统预期的最小耗散状态形成对比。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/a30e/12294728/e7e08dd0859c/entropy-27-00687-g001.jpg

本文引用的文献

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