Modular varieties, generalized Fermat equations, and special functions

模簇、广义费马方程和特殊函数

• 批准号: RGPIN-2017-03892
• 负责人: Chen, Imin
• 金额: $ 1.02万
• 依托单位: Simon Fraser University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=710598
• 关键词: Modular; varieties; generalized; Fermat; equations

Number theory, which is motivated by the study of numbers and equations, has existed since the dawn of recorded history. Perhaps because of its fundamental role in mathematics, number theory continues to be an active area of research, with a wide applicability and relevance to applications. This research program aims to study and answer some fundamental open questions in number theory concerning a natural class of diophantine equations known as modular varieties, with a view towards developing stronger methods for tackling the Fermat-Catalan conjecture, a natural generalization of Fermat's Last Theorem. The approach is fundamental science and problem motivated but will also involve the development of new methods and theory in the areas of Galois representations, modular symbols, and Frey abelian variety constructions. In terms of relevance to applications, the proposed research enhances our foundational knowledge concerning elliptic and hyperelliptic curves, number and function fields, as well as explicit aspects of representation theory. The expertise gained from the fundamental science component of this proposal will also be used to study the application motivated problem of homomorphic encryption and its resistance to quantum algorithms, which is relevant to maintaining privacy in big data applications.

数论，这是由研究数字和方程的动机，已经存在，因为有记录的历史黎明。也许是因为它在数学中的基本作用，数论仍然是一个活跃的研究领域，具有广泛的适用性和应用相关性。 该研究计划旨在研究和回答数论中关于自然类丢番图方程（称为模变种）的一些基本开放问题，以期开发更强大的方法来解决费马-加泰罗尼亚猜想，费马大定理的自然推广。 该方法是基础科学和问题的动机，但也将涉及新的方法和理论在伽罗瓦表示，模块化符号和弗雷阿贝尔品种建设领域的发展。 在相关的应用程序，拟议的研究增强了我们的基础知识，椭圆和超椭圆曲线，数和功能领域，以及明确的方面表示理论。 从该提案的基础科学部分获得的专业知识也将用于研究同态加密的应用驱动问题及其对量子算法的抵抗力，这与在大数据应用中维护隐私有关。