群体语言的复杂性

Sanjay Jain, A. Myasnikov, F. Stephan
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引用次数: 8

摘要

本文从乔姆斯基层次结构的角度研究瑟斯顿自动群体的言语语言和模式语言的复杂性。在这里,由模式生成的语言被视为在为各种变量选择值时获得的所有字符串的代表集。对于非交换自由群,研究表明,语言和模式语言的复杂性(就乔姆斯基层次结构的水平而言)不依赖于瑟斯顿自动表示,并且语言不能是上下文无关的(除非它们是空词或完整组)。但是,它们可以是索引语言。此外,研究表明,在一般情况下,它可能取决于口头语言在乔姆斯基层次结构中所处水平的精确选择的瑟斯顿自动表示。有一些组的例子,在适当的表示中,所有模式语言分别是规则的或与上下文无关的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The Complexity of Verbal Languages over Groups
This paper investigates the complexity of verbal languages and pattern languages of Thurston automatic groups in terms of the Chomsky hierarchy. Here the language generated by a pattern is taken as the set of representatives of all strings obtained when chosing values for the various variables. For noncommutative free groups, it is shown that the complexity of the verbal and pattern languages (in terms of level on the Chomsky hierarchy) does not depend on the Thurston automatic representation and that verbal languages cannot be context-free (unless they are either the empty word or the full group). They can however be indexed languages. Furthermore, it is shown that in the general case, it might depend on the exactly chosen Thurston automatic representation which level a verbal language takes in the Chomsky hierarchy. There are examples of groups where, in an appropriate representation, all pattern languages are regular or context-free, respectively.
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