Polynomial Time Turing Mitoticity and Arithmetical Hierarchy

IF 0.7 Q4 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS PATTERN RECOGNITION AND IMAGE ANALYSIS Pub Date : 2024-04-10 DOI:10.1134/s1054661824010127
A. H. Mokatsian
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引用次数: 0

Abstract

Let \(\omega \) be the set of all nonnegative integers. Let P be a class of problems recognized by deterministic Turing machines, which run in polynomial time. It is known that effective enumeration of the sets of the class P (namely, \({{P}_{0}},{{P}_{1}}\), …, \({{P}_{i}}\), …) exists and thus \({\mathbf{P}} = \{ {{P}_{i}}\,|\,i \in \omega \} .\) Note that for each \(i\), \({{P}_{i}}\) is a set of strings that are sequences of 0s and 1s. Based on available numbering of computably enumerable (c.e.) sets \({{\{ {{W}_{i}}\} }_{{i \in \omega }}}\), a sequence of sets of non-negative numbers \({{\hat {P}}_{i}}\) is constructed such that there is an effective enumeration of them. Let us define \({\mathbf{\hat {P}}}\) as follows: \(~{\mathbf{\hat {P}}} = \{ {{\hat {P}}_{i}}\,|\,i \in \omega \} \). It’s obvious that it is possible to define such relations between the elements of the set of mentioned strings and between the elements of the set of nonnegative integers that these two sets will be isomorphic (with respect to the relations in question). The article shows that it is possible to define such relations between the elements of \({\mathbf{P}}\) and between the elements of \(\hat {{\mathbf{P}}}\) that there will be homomorphic mappings from \({\mathbf{P}}\) to \(\hat {{\mathbf{P}}}\) and vice versa, from \(\hat {{\mathbf{P}}}\) to \({\mathbf{P}}\) (with respect to the relations in question). Based on the notions of T-mitoticity and T-autoreducibility, Ambos-Spies introduced the notions of P‑T-mitoticity, weakly P-T-mitoticity and P-T-autoreducibility. By analogy with the mentioned notions we introduce the notions of \(\hat {P}\)-T-mitoticity, weakly \(\hat {P}\)-T-mitoticity and \(\hat {P}\)-T-autoreducibility. It is proved in the article that the index sets {\({\text{z}}\,|\,{{{\text{W}}}_{{\text{z}}}}\) is \({{\hat {P}}}\)-T-mitotic}, \({\text{\{ z}}\,|\,{{{\text{W}}}_{{\text{z}}}}\) is weakly \({{\hat {P}}}\)-T-mitotic}, \({\text{\{ }}~{\text{z}}\,|\,{{{\text{W}}}_{{\text{z}}}}\) is \({{\hat {P}}}\)-T-autoreducible} and \({\text{\{ z}}\,|\,{{{\text{W}}}_{{\text{z}}}} \in {\mathbf{\hat {P}}}\} \) are \({{{\mathbf{\Sigma }}}_{3}}\)-complete.

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多项式时间图灵 Mitoticity 和算术层次结构
AbstractLet \(\omega \)是所有非负整数的集合。设 P 是一类由确定性图灵机识别的问题,图灵机在多项式时间内运行。众所周知,类 P 的有效枚举集合(即 \({{P}_{0}},{{P}_{1}}\), ..., \({{P}_{i}}\), ... )是存在的,因此 \({\mathbf{P}} = \{{P}_{i}}\,|\,i \in \omega \} .\注意,对于每个 \(i\),\({{P}_{i}}\)是一组字符串,它们是 0 和 1 的序列。基于可计算可枚举(c.e. )集合的可用编号 \({{\{{W}_{i}}\} }_{{i \in \omega }}}\), 非负数集合的序列 \({{\hat {P}}_{i}}\) 被构造出来,从而对它们进行有效的枚举。让我们定义 \({\mathbf\hat {P}}\) 如下:~{mathbf{hat {P}} = \{{hat {P}}_{i}}\,|\,i \in \omega \} \}).很明显,我们可以在所述字符串集合的元素与非负整数集合的元素之间定义这样的关系,即这两个集合是同构的(就有关关系而言)。这篇文章表明,有可能在\({\mathbf{P}}\)的元素之间和\(\hat {{mathbf{P}}\)的元素之间定义这样的关系,即从\({\mathbf{P}}\)到\(\hat {{mathbf{P}}\)会有同构映射,反之亦然、从({\hat {{mathbf{P}}})到({\mathbf{P}}})(关于相关关系)。安博斯-斯皮尔斯(Ambos-Spies)在T-缄默性和T-自斥性概念的基础上引入了P-T-缄默性、弱P-T-缄默性和P-T-自斥性的概念。通过与上述概念的类比,我们引入了 \(\hat {P}\)-T 有丝分裂性、弱 \(\hat {P}\)-T 有丝分裂性和\(\hat {P}\)-T 自斥性的概念。文章中证明了索引集 {\({text{z}}\,|\,{{text{W}}_{{text{z}}}}\) is\({{hat {P}}\)-T-mitotic},\({text{z}}\,|\,{{text{W}}_{{text{z}}}}\) is weakly \({\hat {P}}\)-T-mitotic}、\({\text{{ }}~{\text{z}}\,|\,{{text{W}}}_{{\text{z}}}}\) is \({{hat {P}}}\)-T-autoreducible} and\({\text{{ z}}、|\都是({{{mathbf{{hat {P}}}} )-完全的。
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来源期刊
PATTERN RECOGNITION AND IMAGE ANALYSIS
PATTERN RECOGNITION AND IMAGE ANALYSIS Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
1.80
自引率
20.00%
发文量
80
期刊介绍: The purpose of the journal is to publish high-quality peer-reviewed scientific and technical materials that present the results of fundamental and applied scientific research in the field of image processing, recognition, analysis and understanding, pattern recognition, artificial intelligence, and related fields of theoretical and applied computer science and applied mathematics. The policy of the journal provides for the rapid publication of original scientific articles, analytical reviews, articles of the world''s leading scientists and specialists on the subject of the journal solicited by the editorial board, special thematic issues, proceedings of the world''s leading scientific conferences and seminars, as well as short reports containing new results of fundamental and applied research in the field of mathematical theory and methodology of image analysis, mathematical theory and methodology of image recognition, and mathematical foundations and methodology of artificial intelligence. The journal also publishes articles on the use of the apparatus and methods of the mathematical theory of image analysis and the mathematical theory of image recognition for the development of new information technologies and their supporting software and algorithmic complexes and systems for solving complex and particularly important applied problems. The main scientific areas are the mathematical theory of image analysis and the mathematical theory of pattern recognition. The journal also embraces the problems of analyzing and evaluating poorly formalized, poorly structured, incomplete, contradictory and noisy information, including artificial intelligence, bioinformatics, medical informatics, data mining, big data analysis, machine vision, data representation and modeling, data and knowledge extraction from images, machine learning, forecasting, machine graphics, databases, knowledge bases, medical and technical diagnostics, neural networks, specialized software, specialized computational architectures for information analysis and evaluation, linguistic, psychological, psychophysical, and physiological aspects of image analysis and pattern recognition, applied problems, and related problems. Articles can be submitted either in English or Russian. The English language is preferable. Pattern Recognition and Image Analysis is a hybrid journal that publishes mostly subscription articles that are free of charge for the authors, but also accepts Open Access articles with article processing charges. The journal is one of the top 10 global periodicals on image analysis and pattern recognition and is the only publication on this topic in the Russian Federation, Central and Eastern Europe.
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