arXivDaily arXiv每日学术速递 周一至周五更新
arXiv 2605.04493cond-mat.stat-mechcs.ITmath.IT
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复杂系统的唯一普适熵

The unique, universal entropy for complex systems

Photrek, Inc.(Photrek公司)

Kenric P. Nelson

AI总结:

基于公理基础,证明耦合熵是满足信息尺度要求和Hanle-Thurner普适标度类广延性的唯一普适熵,并应用于信息热力学。

摘要:

建立了关于复杂系统熵的公理基础。数十年的研究中缺失了一个要求:熵必须测量在最大化分布的信息尺度上的不确定性,其中对数-对数斜率为$-1$。此外,熵必须在由Hanel-Thurner定义的全普适标度类中具有广延性。耦合熵由耦合拉伸指数分布最大化,被证明是满足这些要求的唯一普适熵。熵的非可加性等于长程依赖或非线性统计耦合。熵匹配的广延性是耦合、拉伸参数和维度的函数。提供了证据表明Tsallis $q$-统计在复杂系统的物理建模中造成偏差。回顾了信息热力学应用,包括测量复杂性、温度第零定律、耦合自由能的热力学一致性以及非平衡态智能模型。

英文摘要:

A unique, universal definition for the entropy of nonlinear, complex systems is proposed. The Shannon entropy is shown to measure energetic, configurational, and nonlinear degrees of freedom (DOF). An entropy calibrated to the asymptotic nonlinearity of the distribution reduces the nonlinear DOF to zero and modifies the configurational DOF with a generalized logarithm. Physical axioms regarding the asymptotic growth of states, the calibration from an informational scale, and nonlinear dynamics provide a foundation for the proof that the calibrated entropy is unique and comprehensive across the short- and long-range dependency classes. The informational scale quantifies the linear uncertainty independent of the nonlinearity. This entropy, when constrained by the informational scale, is maximized by the coupled stretched exponential distributions (CSED). A consistent thermodynamics for nonequilibrium systems is proposed with the temperature equal to the scale constraint divided by the Boltzmann constant. Physical and informational applications are highlighted.

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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