
TL;DR
This paper investigates the complexity of computable Scott sentences and index sets for various groups, extending previous methods to identify optimal descriptions and explore the complexity hierarchy in logic.
Contribution
It generalizes methods to determine the complexity of Scott sentences and index sets for multiple classes of groups, including nilpotent and polycyclic groups, and analyzes the hierarchy of pseudo-Scott sentences.
Findings
Computed Scott sentences for several group classes
Established optimality of certain Scott sentences
Demonstrated hierarchy distinctions in pseudo-Scott sentences
Abstract
We study two complexity notions of groups - a computable Scott sentence and the index set of a group. Finding the exact complexity of one of them usually involves finding the complexity of the other, but this is not the case sometimes. J. Knight et al. determined the complexity of index sets of various structures. In this paper, we focus on finding the complexity of computable Scott sentences and index sets of various groups, generalizing methods that was previously used by J. Knight et al. We found computable Scott sentences for various different groups or class of groups, including nilpotent groups, polycyclic groups, certain solvable groups, and certain subgroups of . In some of these cases, we also showed that the sentence we had are optimal. In the last section, we also give an example showing d- in the complexity hierarchy of pseudo-Scott…
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Taxonomy
TopicsComputability, Logic, AI Algorithms · Geometric and Algebraic Topology · semigroups and automata theory
