The Second Law of Infodynamics: A Thermocontextual Reformulation.

IF 2 3区 物理与天体物理 Q2 PHYSICS, MULTIDISCIPLINARY Entropy Pub Date : 2024-12-30 DOI:10.3390/e27010022
Harrison Crecraft
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Abstract

Vopson and Lepadatu recently proposed the Second Law of Infodynamics. The law states that while the total entropy increases, information entropy declines over time. They state that the law has applications over a wide range of disciplines, but they leave many key questions unanswered. This article analyzes and reformulates the law based on thermocontextual interpretation (TCI). The TCI generalizes Hamiltonian mechanics by defining states and transitions thermocontextually with respect to an ambient-temperature reference state. The TCI partitions energy into exergy, which can do work on the ambient surroundings, and entropic energy with zero work potential. The TCI is further generalized here to account for a reference observer's actual knowledge. This enables partitioning exergy into accessible exergy, which is known and accessible for use, and configurational energy, which is knowable but unknown and inaccessible. The TCI is firmly based on empirically validated postulates. The Second Law of thermodynamics and its information-based analog, MaxEnt, are logically derived corollaries. Another corollary is a reformulated Second Law of Infodynamics. It states that an external agent seeks to increase its access to exergy by narrowing its information gap with a potential exergy source. The principle is key to the origin of self-replicating chemicals and life.

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信息动力学第二定律:热语境的重新表述。
Vopson和Lepadatu最近提出了信息动力学第二定律。该定律指出,当总熵增加时,信息熵会随着时间的推移而下降。他们表示,该法律适用于广泛的学科,但他们留下了许多关键问题没有得到解答。本文基于热语境解释(TCI)对这一规律进行了分析和重新表述。TCI通过定义相对于环境温度参考状态的状态和热环境转变来推广哈密顿力学。TCI将能量分为能对周围环境做功的能和功势为零的熵。TCI在这里进一步一般化,以说明参考观察者的实际知识。这使得能够将能量划分为可获取的能量,这是已知的并且可以使用的,和构型能量,这是可知的但是未知的并且不可访问的。TCI牢固地建立在经验验证的假设基础上。热力学第二定律及其基于信息的类比,MaxEnt,是逻辑推导的必然结果。另一个推论是信息动力学第二定律的重新表述。它指出,外部主体寻求通过缩小其与潜在能源的信息差距来增加其获得能源的机会。这个原理是自我复制的化学物质和生命起源的关键。
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来源期刊
Entropy
Entropy PHYSICS, MULTIDISCIPLINARY-
CiteScore
4.90
自引率
11.10%
发文量
1580
审稿时长
21.05 days
期刊介绍: Entropy (ISSN 1099-4300), an international and interdisciplinary journal of entropy and information studies, publishes reviews, regular research papers and short notes. Our aim is to encourage scientists to publish as much as possible their theoretical and experimental details. There is no restriction on the length of the papers. If there are computation and the experiment, the details must be provided so that the results can be reproduced.
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