CMV矩阵的特征值统计：通过循环Beta系综从Poisson到Clock
Eigenvalue Statistics for CMV Matrices: From Poisson to Clock via Circular Beta Ensembles
摘要：
本文研究了系数随机衰减的CMV矩阵（一种离散的一维Dirac型算子）。在温和的假设下，我们确定的本地特征值统计的自然缩放限制。对于快速减小的系数，特征值具有刚性间距（就像时钟上的数字）;在缓慢减小的情况下，特征值根据泊松过程分布。对于一定的临界衰变率，我们得到了随机矩阵理论的圆β系综。温度β^{-1}表示为耦合常数的平方。
英文摘要：
We study CMV matrices (a discrete one-dimensional Dirac-type operator) with random decaying coefficients. Under mild assumptions we identify the local eigenvalue statistics in the natural scaling limit. For rapidly decreasing coefficients, the eigenvalues have rigid spacing (like the numerals on a clock); in the case of slow decrease, the eigenvalues are distributed according to a Poisson process. For a certain critical rate of decay we obtain the circular beta ensembles of random matrix theory. The temperature β^{-1} appears as the square of the coupling constant.
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