完全网格张量积上的反音卷积和完全分布性

IF 3.2 1区 数学 Q2 COMPUTER SCIENCE, THEORY & METHODS
Tomasz Kubiak , Iraide Mardones-Pérez
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引用次数: 0

摘要

本文旨在研究完全网格张量积上的反音卷积。具有反调卷积的网格称为卷积网格。我们证明,如果 M 是一个完全分布的卷积网格,那么对于每个完全卷积网格 L,在张量积 M⊗L 上都存在一个唯一的反调卷积,使得 M 和 L 的自然嵌入到 M⊗L 中是保卷积的。这是最好的可能,因为所述性质是完全反演网格类中完全分布性的特征。当 M 和 L 是完全分布的内卷网格时,具有上述反调内卷的 M⊗L 是所有完全分布的德摩根代数及其保留连接和内卷映射类别意义上的通用双态的密码域。我们还探讨了 M 和 L 正互补的情况。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Antitone involutions on tensor products of complete lattices and complete distributivity

The purpose of this paper is to study antitone involutions on tensor products of complete lattices. A lattice with antitone involution is called an involution lattice. We show that if M is a completely distributive involution lattice, then for each complete involution lattice L there exists a unique antitone involution on the tensor product ML such that the natural embeddings of M and L into ML are involution-preserving. This is best possible, since the described property characterizes complete distributivity in the class of complete involution lattices. When M and L are completely distributive involution lattices, ML with the aforementioned antitone involution is the codomain of a universal bimorphism in the sense of the category of all completely distributive de Morgan algebras and their join- and involution-preserving maps. The case that M and L are orthocomplemented is explored too.

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来源期刊
Fuzzy Sets and Systems
Fuzzy Sets and Systems 数学-计算机:理论方法
CiteScore
6.50
自引率
17.90%
发文量
321
审稿时长
6.1 months
期刊介绍: Since its launching in 1978, the journal Fuzzy Sets and Systems has been devoted to the international advancement of the theory and application of fuzzy sets and systems. The theory of fuzzy sets now encompasses a well organized corpus of basic notions including (and not restricted to) aggregation operations, a generalized theory of relations, specific measures of information content, a calculus of fuzzy numbers. Fuzzy sets are also the cornerstone of a non-additive uncertainty theory, namely possibility theory, and of a versatile tool for both linguistic and numerical modeling: fuzzy rule-based systems. Numerous works now combine fuzzy concepts with other scientific disciplines as well as modern technologies. In mathematics fuzzy sets have triggered new research topics in connection with category theory, topology, algebra, analysis. Fuzzy sets are also part of a recent trend in the study of generalized measures and integrals, and are combined with statistical methods. Furthermore, fuzzy sets have strong logical underpinnings in the tradition of many-valued logics.
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