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Differential Categories Revisited

  • R. F. Blute
  • J. R. B. Cockett
  • J.-S. P. LemayEmail author
  • R. A. G. Seely
Open Access
Article
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Abstract

Differential categories were introduced to provide a minimal categorical doctrine for differential linear logic. Here we revisit the formalism and, in particular, examine the two different approaches to defining differentiation which were introduced. The basic approach used a deriving transformation, while a more refined approach, in the presence of a bialgebra modality, used a codereliction. The latter approach is particularly relevant to linear logic settings, where the coalgebra modality is monoidal and the Seely isomorphisms give rise to a bialgebra modality. Here, we prove that these apparently distinct notions of differentiation, in the presence of a monoidal coalgebra modality, are completely equivalent. Thus, for linear logic settings, there is only one notion of differentiation. This paper also presents a number of separating examples for coalgebra modalities including examples which are and are not monoidal, as well as examples which do and do not support differential structure. Of particular interest is the observation that—somewhat counter-intuitively—differential algebras never induce a differential category although they provide a monoidal coalgebra modality. On the other hand, Rota–Baxter algebras—which are usually associated with integration—provide an example of a differential category which has a non-monoidal coalgebra modality.

Keywords

Differential categories Coalgebra modalities Coderelictions 

Notes

Acknowledgements

The authors would like to thank the anonymous referee for very helpful and constructive comments in their review, especially regarding the overall structure of this paper.

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Copyright information

© The Author(s) 2019

Open AccessThis article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.

Authors and Affiliations

  1. 1.Department of Mathematics and StatisticsUniversity of OttawaOttawaCanada
  2. 2.Department of Computer ScienceUniversity of CalgaryCalgaryCanada
  3. 3.Department of Computer ScienceUniversity of OxfordOxfordUK
  4. 4.Departments of Mathematics, CEGEP John Abbott CollegeMcGill UniversityMontrealCanada

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