Categorical and Diagrammatic Representation Theory

分类和图解表示理论

• 批准号: 2201387
• 负责人: Benjamin Elias
• 金额: $ 27.7万
• 依托单位: University of Oregon Eugene
• 依托单位国家: 美国
• 项目类别: Continuing Grant
• 财政年份: 2022
• 资助国家: 美国
• 起止时间: 2022-08-15 至 2025-07-31
• 项目状态: 未结题
• 来源: https://www.nsf.gov/awardsearch/showAward?AWD_ID=2201387&HistoricalAwards=false
• 关键词: Categorical; Diagrammatic; Representation; Theory

Representation theory is the study of symmetries. Symmetry groups arise frequently in physics (e.g. rotations of a sphere), chemistry (e.g. crystallography), and other scientific fields. Data related to the objects possessing symmetry can often be encoded in an object called a representation. Mathematicians study the relationships between representations, and how bigger representations can be built from simple, indivisible ones, much as a molecule is built from indivisible atoms. Many properties of these simple representations, such as their dimensions, are unknown and the topic of intense research. The representations and their structure can be packaged in a collection called a category. An extremely fruitful tool of the last half century has been to identify categories in representation theory with categories from algebraic geometry, allowing the use of powerful geometric tools. But geometry also has its limits, especially when it comes to matters of explicit computation. In past work, the PI has found new and explicit descriptions of categories from representation theory and geometry, using diagrammatic methods. In diagrammatics, a very large matrix or a structure from geometry could be encoded as a picture and manipulated graphically. These descriptions make once-difficult categories accessible computer algebra systems. Computer calculations performed by the PI's collaborator Williamson have led to the first breakthroughs in computing dimensions of simple representations in decades. The PI will continue to develop diagrammatic methods to study representation theory and geometry, providing explicit constructions of new categories, structures, and tools which are beyond the current scope of other approaches. This project provides research training opportunities for students.More concretely, this proposal will support four related projects. The first is to provide general tools for studying generically semisimple monoidal categories diagrammatically using a cellular basis called the branching basis, akin to several bases previously constructed by the PI and collaborators. These tools will then be applied to the categories of singular Soergel bimodules, representations of symplectic groups, and representations of McKay groups. The second project is to introduce K-theoretic Soergel bimodules and to study their relationship to the quantum geometric Satake equivalence. The third is to produce a generalization of Khovanov-Lauda-Rouquier algebras, which has the potential to categorify other Nichols algebras. The fourth is to study the actions of lie algebras on various important categories, which were previously constructed by the PI and Qi.This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

表示论是研究对称性的。对称群经常出现在物理学（如球体的旋转）、化学（如晶体学）和其他科学领域。与具有对称性的对象相关的数据通常可以编码在称为表示的对象中。数学家研究表象之间的关系，以及如何从简单的、不可分割的表象中构建更大的表象，就像分子是由不可分割的原子构建的一样。这些简单表示的许多性质，如它们的尺寸，是未知的，也是激烈研究的主题。表示及其结构可以打包在一个称为类别的集合中。一个非常富有成效的工具，过去半个世纪一直是确定类别的表示理论类别代数几何，允许使用强大的几何工具。但几何学也有其局限性，特别是在涉及显式计算的问题时。在过去的工作中，PI已经发现了新的和明确的描述类别从表示论和几何，使用图解方法。在几何学中，一个非常大的矩阵或几何结构可以被编码为一幅图片，并以图形方式进行操作。这些描述使得曾经困难的类别可以在计算机代数系统中使用。PI的合作者威廉姆森进行的计算机计算导致了几十年来在计算简单表示维度方面的首次突破。PI将继续开发图解方法来研究表征理论和几何，提供超出当前其他方法范围的新类别，结构和工具的明确构造。本项目为学生提供研究培训机会，具体而言，本提案将支持四个相关项目。第一个是提供一般的工具，用于研究一般的半单monoidal范畴图解使用细胞基础称为分支的基础，类似于几个基地以前建造的PI和合作者。这些工具，然后将被应用到奇异Soergel双模，辛群的表示，并表示麦凯群的类别。第二个项目是引入K-理论Soergel双模并研究它们与量子几何Satake等价的关系。第三是给出Khovanov-Lauda-Rouquier代数的一个推广，它有可能对其他Nichols代数进行分类。第四个奖项是研究李代数在各种重要类别上的作用，这是PI和Qi以前构建的。这个奖项反映了NSF的法定使命，并通过使用基金会的知识价值和更广泛的影响审查标准进行评估，被认为值得支持。