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一种新逻辑、一种新信息测度以及一种基于新信息的量子力学诠释方法。

A New Logic, a New Information Measure, and a New Information-Based Approach to Interpreting Quantum Mechanics.

作者信息

Ellerman David

机构信息

Faculty of Social Sciences, University of Ljubljana, 1000 Ljubljana, Slovenia.

出版信息

Entropy (Basel). 2024 Feb 15;26(2):169. doi: 10.3390/e26020169.

Abstract

The new logic of partitions is dual to the usual Boolean logic of subsets (usually presented only in the special case of the logic of propositions) in the sense that partitions and subsets are category-theoretic duals. The new information measure of logical entropy is the normalized quantitative version of partitions. The new approach to interpreting quantum mechanics (QM) is showing that the mathematics (not the physics) of QM is the linearized Hilbert space version of the mathematics of partitions. Or, putting it the other way around, the math of partitions is a skeletal version of the math of QM. The key concepts throughout this progression from logic, to logical information, to quantum theory are distinctions versus indistinctions, definiteness versus indefiniteness, or distinguishability versus indistinguishability. The distinctions of a partition are the ordered pairs of elements from the underlying set that are in different blocks of the partition and logical entropy is defined (initially) as the normalized number of distinctions. The cognate notions of definiteness and distinguishability run throughout the math of QM, e.g., in the key non-classical notion of superposition (=ontic indefiniteness) and in the Feynman rules for adding amplitudes (indistinguishable alternatives) versus adding probabilities (distinguishable alternatives).

摘要

划分的新逻辑与子集的通常布尔逻辑(通常仅在命题逻辑的特殊情况下呈现)是对偶的,因为划分和子集是范畴论对偶。逻辑熵的新信息度量是划分的归一化定量版本。解释量子力学(QM)的新方法表明,量子力学的数学(而非物理)是划分数学的线性化希尔伯特空间版本。或者,换个说法,划分的数学是量子力学数学的一个骨架版本。从逻辑到逻辑信息再到量子理论的整个过程中的关键概念是区分与非区分、确定性与不确定性,或可区分性与不可区分性。划分的区分是基础集合中处于划分不同块的元素的有序对,并且逻辑熵(最初)被定义为区分的归一化数量。确定性和可区分性的相关概念贯穿于量子力学的数学中,例如,在关键的非经典叠加概念(=本体不确定性)以及费曼关于相加振幅(不可区分的备选方案)与相加概率(可区分的备选方案)的规则中。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e3a7/10887820/08f4c67d56e9/entropy-26-00169-g001.jpg

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