Semi-orthogonal decompositions via t-stabilities

In this paper we introduce a local-refinement procedure to investigate finite t-stabilities on a triangulated category, and show a direct sufficient condition for a finite t-stability to be finite finest. We classify all finite finest t-stabilities for certain triangulated categories, including those from the projective plane, weighted projective lines, and finite acyclic quivers. As applications, we obtain a simple classification of semi-orthogonal decompositions (SOD) for these categories. Furthermore, we study the connectedness of SODs by a reduction method and give an easily verified criterion for it.

Publication Details

Journal
arXiv (Cornell University)
Published
2025-03-28
Primary Topic
Big Data and Digital Economy
Type
article
Field-Weighted Citation Impact
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article

Semi-orthogonal decompositions via t-stabilities

arXiv (Cornell University)
Big Data and Digital Economy
article

Semi-orthogonal decompositions via t-stabilities

article en

Abstract

In this paper we introduce a local-refinement procedure to investigate finite t-stabilities on a triangulated category, and show a direct sufficient condition for a finite t-stability to be finite finest. We classify all finite finest t-stabilities for certain triangulated categories, including those from the projective plane, weighted projective lines, and finite acyclic quivers. As applications, we obtain a simple classification of semi-orthogonal decompositions (SOD) for these categories. Furthermore, we study the connectedness of SODs by a reduction method and give an easily verified criterion for it.

arXiv (Cornell University)
Openalex Percentile: Top 37%
Big Data and Digital Economy
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Semi-orthogonal decompositions via t-stabilities · arXiv (Cornell University) (2025) | TGRS Research Map | TGRS