Verlinde范畴Ver4+中非退化对称双线性和二次型的分类

IF 0.8 2区 数学 Q2 MATHEMATICS
Iz Chen , Arun S. Kannan , Krishna Pothapragada
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引用次数: 0

摘要

虽然Deligne定理对特征为零的代数闭域上所有适度增长的对称张量范畴(STCs)进行了分类,但这种分类并没有推广到正特征。STCs研究的前沿是寻找与Deligne定理类似的正特征,Verlinde范畴将发挥重要作用,这一点越来越明显。此外,这些范畴在很大程度上是未被研究的,但已经显示出非常有趣的现象,既是超代数和超几何的推广,也是对它们的背离。本文研究了特征2中最简单的非平凡Verlinde范畴Ver4+。特别地,我们对非退化对称双线性形式和非退化二次形式的所有同构类进行了分类,并研究了由双线性形式上的加法和乘法运算产生的相关Witt半环。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Classification of non-degenerate symmetric bilinear and quadratic forms in the Verlinde category Ver4+
Although Deligne's theorem classifies all symmetric tensor categories (STCs) with moderate growth over algebraically closed fields of characteristic zero, the classification does not extend to positive characteristic. At the forefront of the study of STCs is the search for an analog to Deligne's theorem in positive characteristic, and it has become increasingly apparent that the Verlinde categories are to play a significant role. Moreover, these categories are largely unstudied, but have already shown very interesting phenomena as both a generalization of and a departure from superalgebra and supergeometry. In this paper, we study Ver4+, the simplest non-trivial Verlinde category in characteristic 2. In particular, we classify all isomorphism classes of non-degenerate symmetric bilinear forms and non-degenerate quadratic forms and study the associated Witt semi-ring that arises from the addition and multiplication operations on bilinear forms.
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来源期刊
Journal of Algebra
Journal of Algebra 数学-数学
CiteScore
1.50
自引率
22.20%
发文量
414
审稿时长
2-4 weeks
期刊介绍: The Journal of Algebra is a leading international journal and publishes papers that demonstrate high quality research results in algebra and related computational aspects. Only the very best and most interesting papers are to be considered for publication in the journal. With this in mind, it is important that the contribution offer a substantial result that will have a lasting effect upon the field. The journal also seeks work that presents innovative techniques that offer promising results for future research.
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