Cohesive powers of structures

IF 0.3 4区 数学 Q1 Arts and Humanities Archive for Mathematical Logic Pub Date : 2024-03-28 DOI:10.1007/s00153-024-00916-7
Valentina Harizanov, Keshav Srinivasan
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Abstract

A cohesive power of a structure is an effective analog of the classical ultrapower of a structure. We start with a computable structure, and consider its effective power over a cohesive set of natural numbers. A cohesive set is an infinite set of natural numbers that is indecomposable with respect to computably enumerable sets. It plays the role of an ultrafilter, and the elements of a cohesive power are the equivalence classes of certain partial computable functions determined by the cohesive set. Thus, unlike many classical ultrapowers, a cohesive power is a countable structure. In this paper we focus on cohesive powers of graphs, equivalence structures, and computable structures with a single unary function satisfying various properties, which can also be viewed as directed graphs. For these computable structures, we investigate the isomorphism types of their cohesive powers, as well as the properties of cohesive powers when they are not isomorphic to the original structure.

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结构的凝聚力
结构的内聚幂是结构的经典超幂的有效类比。我们从一个可计算结构开始,考虑它对自然数内聚集合的有效幂。内聚集合是一个无限的自然数集合,相对于可计算的可枚举集合而言,它是不可分解的。它扮演着超滤波器的角色,内聚幂的元素是由内聚集合决定的某些部分可计算函数的等价类。因此,与许多经典超幂不同,内聚幂是一种可数结构。在本文中,我们重点研究图的内聚幂、等价结构,以及具有满足各种性质的单一元函数的可计算结构,这些结构也可以看作有向图。对于这些可计算结构,我们研究了它们内聚幂的同构类型,以及当它们与原始结构不同构时内聚幂的性质。
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来源期刊
Archive for Mathematical Logic
Archive for Mathematical Logic MATHEMATICS-LOGIC
CiteScore
0.80
自引率
0.00%
发文量
45
审稿时长
6-12 weeks
期刊介绍: The journal publishes research papers and occasionally surveys or expositions on mathematical logic. Contributions are also welcomed from other related areas, such as theoretical computer science or philosophy, as long as the methods of mathematical logic play a significant role. The journal therefore addresses logicians and mathematicians, computer scientists, and philosophers who are interested in the applications of mathematical logic in their own field, as well as its interactions with other areas of research.
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