熵的新视角

T. Bradley
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引用次数: 0

摘要

这篇文章描述了两个看似不相干的科学主题之间的新联系,即熵和高等数学。它不假设任何一个主题的先验知识,并以简要介绍信息理论和香农熵的概念开始,我们简单地称之为熵。然后,我们调查了高等数学的广阔景观,特别关注高中代数和几何的高级类似物,分别被称为抽象代数和拓扑。我们的目标是通过一个著名的微积分公式莱布尼茨规则来展示熵、抽象代数和拓扑是密不可分的。这一结果在作者最近的工作[Bra21]中给出,本文旨在通过从头开始轻轻地介绍这些想法来概述这些想法。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A New Perspective of Entropy
This article describes a new connection between two seemingly disparate topics in science, namely entropy and higher mathematics. It does not assume prior knowledge of either subject and begins with a brief introduction to information theory and a concept known as Shannon entropy, which we simply refer to as entropy. We then survey the vast landscape of higher mathematics, giving special attention to advanced analogues of high-school algebra and geometry known as abstract algebra and topology, respectively. Our goal is then to show that entropy, abstract algebra, and topology are inextricably linked through a version of a well-known formula from calculus known as the Leibniz rule. This result is given in the author’s recent work in [Bra21], and this present article is intended to give an overview of the ideas by gently introducing them from the ground up.
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