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arXiv 2603.01432math.PR
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近对称矩阵在Cohen-Lenstra universality类中

Nearly-symmetric matrices in the Cohen-Lenstra universality class

Harvard University(哈佛大学)

Elia Gorokhovsky

AI总结:

本文研究了在特定对称性条件下随机矩阵的余核分布,证明其弱收敛到Cohen-Lenstra分布,展示了对称性扰动对余核分布的显著影响。

摘要:

在本文中,我们研究了具有由固定交替双线性形式确定的对称性条件的随机n×n矩阵的余核。这些包括在非常小(但随着n无界)数量的条目上对随机对称矩阵的扰动。我们证明,在对条目分布施加相对较弱的条件下,这些余核的分布会弱收敛到Cohen-Lenstra分布,这是随机矩阵无对称性约束时的极限分布。这一结果表明,对称矩阵的余核分布对小的对称性条件扰动非常敏感。

英文摘要:

In this paper, we study cokernels of random $n\times n$ matrices over $\mathbb Z$ with symmetry conditions determined by fixed alternating bilinear forms on $\mathbb Z^n$. These include perturbations of random symmetric matrices at a very small (but unbounded with $n$) number of entries. We show that, subject to fairly weak conditions on the distributions of the entries, the distribution of these cokernels converges weakly to the Cohen-Lenstra distribution, which is the limiting distribution of cokernels of random matrices with no symmetry constraints. This result demonstrates that the cokernel distributions of symmetric matrices are quite sensitive to small perturbations of the symmetry conditions.

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

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