Ilke Canakci
Extensions in Jacobian algebras and cluster categories of marked surfaces
Canakci, Ilke; Schroll, Sibylle
Authors
Sibylle Schroll
Abstract
In the context of representation theory of finite dimensional algebras, string algebras have been extensively studied and most aspects of their representation theory are well-understood. One exception to this is the classification of extensions between indecomposable modules. In this paper we explicitly describe such extensions for a class of string algebras, namely gentle algebras associated to surface triangulations. These algebras arise as Jacobian algebras of unpunctured surfaces. We relate the extension spaces of indecomposable modules to crossings of generalised arcs in the surface and give explicit bases of the extension spaces for indecomposable modules in almost all cases. We show that the dimensions of these extension spaces are given in terms of crossing arcs in the surface. Our approach is new and consists of interpreting snake graphs as indecomposable modules. In order to show that our basis is a spanning set, we need to work in the associated cluster category where we explicitly calculate the middle terms of extensions and give bases of their extension spaces. We note that not all extensions in the cluster category give rise to extensions for the Jacobian algebra.
Citation
Canakci, I., & Schroll, S. (2017). Extensions in Jacobian algebras and cluster categories of marked surfaces. Advances in Mathematics, 313, 1-49. https://doi.org/10.1016/j.aim.2017.03.016
Journal Article Type | Article |
---|---|
Acceptance Date | Mar 13, 2017 |
Online Publication Date | May 16, 2017 |
Publication Date | Jun 20, 2017 |
Deposit Date | Jul 28, 2017 |
Publicly Available Date | Jul 28, 2017 |
Journal | Advances in Mathematics |
Print ISSN | 0001-8708 |
Publisher | Elsevier |
Peer Reviewed | Peer Reviewed |
Volume | 313 |
Pages | 1-49 |
DOI | https://doi.org/10.1016/j.aim.2017.03.016 |
Public URL | https://durham-repository.worktribe.com/output/1350723 |
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Copyright Statement
© 2017 The Authors. Published by Elsevier Inc. This is an open access article under the CC BY license (http://creativecommons.org/licenses/by/4.0/).
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