厄密对称对的维恒等式、几乎自共轭分割和BGG复合体

IF 1.2 2区 数学 Q2 MATHEMATICS
William Q. Erickson, Markus Hunziker
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引用次数: 0

摘要

几乎自共轭(ASC)划分有一个杨图,其中沿对角线的每条臂正好比其相应的腿长一个盒子。经典地,ASC划分及其共轭出现在两个Littlewood对称函数恒等式中。这些恒等式可以看作是经典厄密对称对的平凡表示的BGG复合体的欧拉特征。在本文中,我们考虑臂腿差为任意常数m的分区。通过将这些分区视为最高权值,我们建立了gln-和gln+m模块之间的无限维恒等式。然后,我们在抛物线类别O中的块的背景下解释这个结果:特别是,我们展示了六个无限的同余块族,其相应的最大权重的偏置集由所讨论的分区组成。反过来,这些偏序集导致了Littlewood恒等式及其相应的BGG复合体的推广。我们在这篇论文中的结果揭示了Enright和Willenbring(2004)的工作背后令人惊讶的组合。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Dimension identities, almost self-conjugate partitions, and BGG complexes for Hermitian symmetric pairs
An almost self-conjugate (ASC) partition has a Young diagram in which each arm along the diagonal is exactly one box longer than its corresponding leg. Classically, the ASC partitions and their conjugates appear in two of Littlewood's symmetric function identities. These identities can be viewed as Euler characteristics of BGG complexes of the trivial representation, for classical Hermitian symmetric pairs. In this paper, we consider partitions in which the arm–leg difference is an arbitrary constant m. By viewing these partitions as highest weights, we establish an infinite family of dimension identities between gln- and gln+m-modules. We then interpret this result in the context of blocks in parabolic category O: in particuar, we exhibit six infinite families of congruent blocks whose corresponding posets of highest weights consist of the partitions in question. These posets, in turn, lead to generalizations of the Littlewood identities and their corresponding BGG complexes. Our results in this paper shed light on the surprising combinatorics underlying the work of Enright and Willenbring (2004).
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来源期刊
CiteScore
2.90
自引率
9.10%
发文量
94
审稿时长
12 months
期刊介绍: The Journal of Combinatorial Theory publishes original mathematical research concerned with theoretical and physical aspects of the study of finite and discrete structures in all branches of science. Series A is concerned primarily with structures, designs, and applications of combinatorics and is a valuable tool for mathematicians and computer scientists.
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