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arXiv math/0607504math.PRmath.CV
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随机解析函数的零点

Zeros of Random Analytic Functions

Manjunath Krishnapur

摘要:

本论文的主要主题是随机矩阵值解析函数,推广随机矩阵和随机解析函数,对于许多目的可以(也许应该)有效地研究,在一般性的水平。研究了单复变数中随机解析函数的零点。已知在对应的等距群下,存在一个单参数的高斯解析函数族,其零点集在三个对称空间,即平面、球面和单位圆盘中的每一个空间中是稳定的。我们提出了一种方法来产生非高斯随机解析函数,其零点集也是固定在相同的区域。在某些特殊情况下,零点集的精确分布被证明属于一类重要的点过程,称为行列式点过程。除了关于零集的确切分布的问题,我们还研究了某些渐近性质。我们证明了应用于这些随机解析函数零点的光滑统计量的渐近正态性。最后,我们给出了平面和双曲高斯解析函数零点的某些大偏差问题的一些结果。

英文摘要:

The dominant theme of this thesis is that random matrix valued analytic functions, generalizing both random matrices and random analytic functions, for many purposes can (and perhaps should) be effectively studied in that level of generality. We study zeros of random analytic functions in one complex variable. It is known that there is a one parameter family of Gaussian analytic functions with zero sets that are stationary in each of the three symmetric spaces, namely the plane, the sphere and the unit disk, under the corresponding group of isometries. We show a way to generate non Gaussian random analytic functions whose zero sets are also stationary in the same domains. There are particular cases where the exact distribution of the zero set turns out to belong to an important class of point processes known as determinantal point processes. Apart from questions regarding the exact distribution of zero sets, we also study certain asymptotic properties. We show asymptotic normality for smooth statistics applied to zeros of these random analytic functions. Lastly, we present some results on certain large deviation problems for the zeros of the planar and hyperbolic Gaussian analytic functions.

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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