论文标题

带有真正sublinear带宽的随机块带矩阵的循环定律

Circular Law for Random Block Band Matrices with Genuinely Sublinear Bandwidth

论文作者

Jain, Vishesh, Jana, Indrajit, Luh, Kyle, O'Rourke, Sean

论文摘要

我们证明了具有真正sublinear带宽的一类非热块带矩阵的循环定律。也就是说,我们表明存在(0,1)$中的$τ\,因此,如果矩阵$ x $的带宽至少为$ n^{1-τ} $,而非零的条目为IID随机变量,则平均值零,略多于四个有限的时刻,则在限制的经验分布$ x $时,限制了$ x $的分布,并符合$ x $的分布,并符合$ x $的分布,并将在复杂平面中的磁盘。关键的技术结果是具有真正的sublinear带宽的移动随机带块矩阵的最小值值绑定,该矩阵在频带矩阵设置中的结果改善。

We prove the circular law for a class of non-Hermitian random block band matrices with genuinely sublinear bandwidth. Namely, we show there exists $τ\in (0,1)$ so that if the bandwidth of the matrix $X$ is at least $n^{1-τ}$ and the nonzero entries are iid random variables with mean zero and slightly more than four finite moments, then the limiting empirical eigenvalue distribution of $X$, when properly normalized, converges in probability to the uniform distribution on the unit disk in the complex plane. The key technical result is a least singular value bound for shifted random band block matrices with genuinely sublinear bandwidth, which improves on a result of Cook in the band matrix setting.

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