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熵、卡诺循环与信息论,第2部分。

Entropy, Carnot Cycle and Information Theory, Part 2.

作者信息

Martinelli Mario

机构信息

Dipartimento di Elettronica Informazione e Bioingegneria, Politecnico di Milano, 20133 Milano, Italy.

出版信息

Entropy (Basel). 2025 May 2;27(5):493. doi: 10.3390/e27050493.

Abstract

This second part of this companion paper the Carnot cycle is analyzed trying to investigate the similarities and differences between a framework related to thermodynamics and one related to information theory. The parametric Schrodinger equations are the starting point for the framing. In the thermodynamics frame, a new interpretation of the free energy in the isothermal expansion and a new interpretation of the entropy in the adiabatic phase are highlighted. The same Schrodinger equations are then applied in an information theory framework. Again, it is shown that a cycle can be constructed with a diagram that presents the Lagrange parameter and the average codeword length as coordinates. In this case the adiabatic phase consists of a transcoding operation and the cycle as a whole shows a positive or negative balance of information. In conclusion, the Carnot cycle continues to be a source of knowledge of complex systems in which entropy plays a central role.

摘要

在这篇配套论文的第二部分,对卡诺循环进行了分析,试图探究与热力学相关的框架和与信息理论相关的框架之间的异同。参数薛定谔方程是构建框架的起点。在热力学框架中,突出了等温膨胀中自由能的新解释以及绝热阶段熵的新解释。然后将同样的薛定谔方程应用于信息理论框架。同样表明,可以构建一个以拉格朗日参数和平均码字长度为坐标的图来表示的循环。在这种情况下,绝热阶段由转码操作组成,并且整个循环显示出正的或负的信息平衡。总之,卡诺循环仍然是复杂系统知识的一个来源,其中熵起着核心作用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/eca4/12110161/1e6415a89acc/entropy-27-00493-g001.jpg

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