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Ranks for families of regular graph theories

Authors: N. D. Markhabatov; S. V. Sudoplatov;

Ranks for families of regular graph theories

Abstract

This article deals with families of regular graph theories. Using invariants of regular graph theory, a criterion for e-minimality,a-minimality, and α-minimality of subfamilies of the family of all regular graph theories is obtained. These ranks and degrees play a similar role for families of theories with hierarchies for definable theories, such as Morley's Hierarchies for a fixed theory, although they have their own peculiarities. The rank of families of theories can be thought of as a measure of the complexity or richness of these families. Thus, by increasing rank by expanding families, we produce richer families and get families with infinite rank, which can be considered "rich enough". The ranks for families of the theory of regular graphs with finite and infinite diagonals are described. The family of all regular graph theories has infinite rank. This follows from the fact that if a language consists ofm-ary symbols,m≥2, then the family of all theories of the given language has an infinite rank. This also means that the family of all regular graph theories is not e-totally transcendental. The results obtained can be considered as a partial answer to the question posed in [5].

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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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