关于一般向量值模形式的计算

IF 2.2 2区 数学 Q1 MATHEMATICS, APPLIED Mathematics of Computation Pub Date : 2022-02-14 DOI:10.1090/mcom/3847
Tobias Magnusson, Martin Raum
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引用次数: 2

摘要

我们提出并讨论了一种算法及其实现,该算法能够直接确定权值至少为22的任何向量值模形式的傅里叶展开式,其核是同余子群。它补充了两种仅限于Dirichlet字符归纳和Weil表示的可用算法,从而涵盖了同余子群的Moonshine或Jacobi形式等进一步的应用。我们通过置换组的技术来研究特定表示中的不变量的计算,这极大地帮助了运行时性能。我们解释了经典模形式的顶点展开的泛化是如何进入我们的实现的。在启发式地考虑了时间复杂度之后,我们将算法的公式与两种可用的算法联系起来,以突出它们各自在通用性和性能级别之间做出的妥协。
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On the computation of general vector-valued modular forms
We present and discuss an algorithm and its implementation that is capable of directly determining Fourier expansions of any vector-valued modular form of weight at least 2 2 associated with representations whose kernel is a congruence subgroup. It complements two available algorithms that are limited to inductions of Dirichlet characters and to Weil representations, thus covering further applications like Moonshine or Jacobi forms for congruence subgroups. We examine the calculation of invariants in specific representations via techniques from permutation groups, which greatly aids runtime performance. We explain how a generalization of cusp expansions of classical modular forms enters our implementation. After a heuristic consideration of time complexity, we relate the formulation of our algorithm to the two available ones, to highlight the compromises between level of generality and performance that each them makes.
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来源期刊
Mathematics of Computation
Mathematics of Computation 数学-应用数学
CiteScore
3.90
自引率
5.00%
发文量
55
审稿时长
7.0 months
期刊介绍: All articles submitted to this journal are peer-reviewed. The AMS has a single blind peer-review process in which the reviewers know who the authors of the manuscript are, but the authors do not have access to the information on who the peer reviewers are. This journal is devoted to research articles of the highest quality in computational mathematics. Areas covered include numerical analysis, computational discrete mathematics, including number theory, algebra and combinatorics, and related fields such as stochastic numerical methods. Articles must be of significant computational interest and contain original and substantial mathematical analysis or development of computational methodology.
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