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https://doi.org/10.1109/lics.2...
Article . 2015 . Peer-reviewed
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https://dx.doi.org/10.48550/ar...
Article . 2015
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Article . 2015
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Varieties of Languages in a Category

Authors: Jirí Adámek; Robert S. R. Myers; Henning Urbat; Stefan Milius;

Varieties of Languages in a Category

Abstract

Eilenberg's variety theorem, a centerpiece of algebraic automata theory, establishes a bijective correspondence between varieties of languages and pseudovarieties of monoids. In the present paper this result is generalized to an abstract pair of algebraic categories: we introduce varieties of languages in a category C, and prove that they correspond to pseudovarieties of monoids in a closed monoidal category D, provided that C and D are dual on the level of finite objects. By suitable choices of these categories our result uniformly covers Eilenberg's theorem and three variants due to Pin, Polak and Reutenauer, respectively, and yields new Eilenberg-type correspondences.

Keywords

FOS: Computer and information sciences, Computer Science - Logic in Computer Science, Formal Languages and Automata Theory (cs.FL), FOS: Mathematics, Computer Science - Formal Languages and Automata Theory, Mathematics - Category Theory, Category Theory (math.CT), Logic in Computer Science (cs.LO)

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selected citations
These citations are derived from selected sources.
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!
9
Average
Average
Top 10%
Green