Cluster equivalence and graded derived equivalence
Claire Amiot, Steffen Oppermann

TL;DR
This paper introduces cluster equivalence for algebras of global dimension at most 2, exploring how their generalized cluster categories relate to derived equivalences and grading mutations.
Contribution
It establishes a criterion for when cluster equivalence implies derived equivalence and describes all derived equivalent algebras sharing the same cluster tilting object.
Findings
Cluster-tilting objects correspond to cluster-tilting subcategories of derived categories.
A recognition theorem for these subcategories is proved.
Conditions under which cluster equivalence implies derived equivalence are identified.
Abstract
In this paper we introduce a new approach for organizing algebras of global dimension at most 2. We introduce the notion of cluster equivalence for these algebras, based on whether their generalized cluster categories are equivalent. We are particularly interested in the question how much information about an algebra is preserved in its generalized cluster category, or, in other words, how closely two algebras are related if they have equivalent generalized cluster categories. Our approach makes use of the cluster-tilting objects in the generalized cluster categories: We first observe that cluster-tilting objects in generalized cluster categories are in natural bijection with cluster-tilting subcategories of derived categories, and then prove a recognition theorem for the latter. Using this recognition theorem we give a precise criterion when two cluster equivalent algebras are…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
