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Mathematics > Category Theory

arXiv:2205.08916 (math)
[Submitted on 18 May 2022 (v1), last revised 31 Jul 2023 (this version, v3)]

Title:Monoidal Width: Capturing Rank Width

Authors:Elena Di Lavore (Tallinn University of Technology), Paweł Sobociński (Tallinn University of Technology)
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Abstract:Monoidal width was recently introduced by the authors as a measure of the complexity of decomposing morphisms in monoidal categories. We have shown that in a monoidal category of cospans of graphs, monoidal width and its variants can be used to capture tree width, path width and branch width. In this paper we study monoidal width in a category of matrices, and in an extension to a different monoidal category of open graphs, where the connectivity information is handled with matrix algebra and graphs are composed along edges instead of vertices. We show that here monoidal width captures rank width: a measure of graph complexity that has received much attention in recent years.
Comments: In Proceedings ACT 2022, arXiv:2307.15519
Subjects: Category Theory (math.CT); Logic in Computer Science (cs.LO)
Cite as: arXiv:2205.08916 [math.CT]
  (or arXiv:2205.08916v3 [math.CT] for this version)
  https://doi.org/10.48550/arXiv.2205.08916
Journal reference: EPTCS 380, 2023, pp. 268-283
Related DOI: https://doi.org/10.4204/EPTCS.380.16

Submission history

From: EPTCS [view email] [via EPTCS proxy]
[v1] Wed, 18 May 2022 13:21:55 UTC (55 KB)
[v2] Mon, 3 Oct 2022 14:44:20 UTC (61 KB)
[v3] Mon, 31 Jul 2023 10:39:52 UTC (40 KB)
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