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arXiv 1503.07110math-phcond-mat.stat-mechmath.MPmath.PR
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关于GUE随机矩阵特征多项式最大值的分布

On the distribution of maximum value of the characteristic polynomial of GUE random matrices

Yan V. Fyodorov, Nicholas J. Simm

摘要:

基于最近发现的高斯过程与高斯酉包络下大随机$N \times N$矩阵$H$的特征多项式之间的关系,我们将$D_{N}(x):=-\log|\det(xI-H)|$的全局最大值的分布刻画为$N \to \infty$和$x\in (-1,1)$ .我们到达一个明确的表达式的渐近概率密度的(适当移位)最大值相结合的严格的Fisher-Hartwig渐近由于Krasovsky \cite{K07}与启发式{ \it冻结过渡}的情况下,为grammically相关的过程。虽然该方法背后的一般思想与先前考虑的圆形酉包围圈的情况相同,但目前的GUE情况提出了新的挑战。特别是,我们展示了如何在冻结的情况下,在我们选择的最大分布的形式的固定的{ \it自我对偶}起着至关重要的作用。最后,我们证明了一个很好的协议发现的概率密度与$D_{N}(x)$的最大值的直接数值模拟的结果。

英文摘要:

Motivated by recently discovered relations between logarithmically correlated Gaussian processes and characteristic polynomials of large random $N \times N$ matrices $H$ from the Gaussian Unitary Ensemble (GUE), we consider the problem of characterising the distribution of the global maximum of $D_{N}(x):=-\log|\det(xI-H)|$ as $N \to \infty$ and $x\in (-1,1)$. We arrive at an explicit expression for the asymptotic probability density of the (appropriately shifted) maximum by combining the rigorous Fisher-Hartwig asymptotics due to Krasovsky \cite{K07} with the heuristic {\it freezing transition} scenario for logarithmically correlated processes. Although the general idea behind the method is the same as for the earlier considered case of the Circular Unitary Ensemble, the present GUE case poses new challenges. In particular we show how the conjectured {\it self-duality} in the freezing scenario plays the crucial role in our selection of the form of the maximum distribution. Finally, we demonstrate a good agreement of the found probability density with the results of direct numerical simulations of the maxima of $D_{N}(x)$.

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