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Computer Science > Logic in Computer Science

arXiv:2101.10487v1 (cs)
[Submitted on 26 Jan 2021]

Title:Proof Theory of Partially Normal Skew Monoidal Categories

Authors:Tarmo Uustalu, Niccolò Veltri, Noam Zeilberger
View a PDF of the paper titled Proof Theory of Partially Normal Skew Monoidal Categories, by Tarmo Uustalu and 2 other authors
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Abstract:The skew monoidal categories of Szlachányi are a weakening of monoidal categories where the three structural laws of left and right unitality and associativity are not required to be isomorphisms but merely transformations in a particular direction. In previous work, we showed that the free skew monoidal category on a set of generating objects can be concretely presented as a sequent calculus. This calculus enjoys cut elimination and admits focusing, i.e. a subsystem of canonical derivations, which solves the coherence problem for skew monoidal categories.
In this paper, we develop sequent calculi for partially normal skew monoidal categories, which are skew monoidal categories with one or more structural laws invertible. Each normality condition leads to additional inference rules and equations on them. We prove cut elimination and we show that the calculi admit focusing. The result is a family of sequent calculi between those of skew monoidal categories and (fully normal) monoidal categories. On the level of derivability, these define 8 weakenings of the (unit,tensor) fragment of intuitionistic non-commutative linear logic.
Comments: In Proceedings ACT 2020, arXiv:2101.07888
Subjects: Logic in Computer Science (cs.LO); Category Theory (math.CT)
Cite as: arXiv:2101.10487 [cs.LO]
  (or arXiv:2101.10487v1 [cs.LO] for this version)
  https://doi.org/10.48550/arXiv.2101.10487
arXiv-issued DOI via DataCite
Journal reference: EPTCS 333, 2021, pp. 230-246
Related DOI: https://doi.org/10.4204/EPTCS.333.16
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From: EPTCS [view email] [via EPTCS proxy]
[v1] Tue, 26 Jan 2021 00:07:00 UTC (28 KB)
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