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arXiv 2201.00257math.PRmath.FA
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结构随机矩阵的Wigner型律

Wigner type laws for structured random matrices

Tapesh Yadav

摘要:

对于足够好的二维形状,我们将其近似矩阵(或模式矩阵)定义为具有根据给定模式排列的iid条目的随机矩阵。对于大的近似矩阵,我们观察到特征值大致遵循一个基本分布。这一现象类似于Wigner矩阵的经典观察。我们证明了这些矩阵的矩渐近收敛的大小的增加,等于一个组合定义的功能,计数有限网格上的某些路径的积分。我们还考虑了几个独立的模式化矩阵的情况。在一组特定的条件下,这些矩阵承认关于充满独立平方随机矩阵的渐近自由性。在我们的结论中,我们提出了几个开放的问题。

英文摘要:

For a sufficiently nice 2 dimensional shape, we define its approximating matrix (or patterned matrix) as a random matrix with iid entries arranged according to a given pattern. For large approximating matrices, we observe that the eigenvalues roughly follow an underlying distribution. This phenomenon is similar to the classical observation on Wigner matrices. We prove that the moments of such matrices converge asymptotically as the size increases and equals to the integral of a combinatorially-defined function which counts certain paths on a finite grid. We also consider the case of several independent patterned matrices. Under a specific set of conditions, these matrices admit asymptotic freeness with respect to full-filled independent square random matrices. In our conclusion, we present several open problems.

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