论文标题
高斯Weyl-Heisenberg函数和电荷超均匀性的零
Zeros of Gaussian Weyl-Heisenberg functions and hyperuniformity of charge
论文作者
论文摘要
我们研究了高斯随机功能在复杂的平面上,其随机物质在Weyl-Heisenberg组(扭曲的平稳性)下是不变的。该理论是基于翻译不变的高斯整个功能建模的,但允许进行非分析示例,在这种情况下,绕组数字可能为正或负数。 当将其视为平面上的点时,还是根据其相绕组的电荷来计算此类功能的零集的第一强度。在后一种情况下,电荷被证明与特定协方差结构(通用筛选)无关。我们研究了相应的波动,并表明在许多情况下,它们在大尺度上被抑制(超均匀性)。这意味着在大尺度上可以在经验上观察到通用筛查。我们还得出了电荷差异的渐近表达。 作为一个主要应用程序,我们获得了使用一般窗户的复杂白噪声的短时傅立叶变换的零集的统计数据,还证明了以下不确定性原理:在所有窗口函数中,普遍的高斯人在所有窗口函数中,每单位面积的预期零数量被最小化。进一步的应用包括多输入功能,例如高斯整个功能的协变量衍生物。
We study Gaussian random functions on the complex plane whose stochastics are invariant under the Weyl-Heisenberg group (twisted stationarity). The theory is modeled on translation invariant Gaussian entire functions, but allows for non-analytic examples, in which case winding numbers can be either positive or negative. We calculate the first intensity of zero sets of such functions, both when considered as points on the plane, or as charges according to their phase winding. In the latter case, charges are shown to be in a certain average equilibrium independently of the particular covariance structure (universal screening). We investigate the corresponding fluctuations, and show that in many cases they are suppressed at large scales (hyperuniformity). This means that universal screening is empirically observable at large scales. We also derive an asymptotic expression for the charge variance. As a main application, we obtain statistics for the zero sets of the short-time Fourier transform of complex white noise with general windows, and also prove the following uncertainty principle: the expected number of zeros per unit area is minimized, among all window functions, exactly by generalized Gaussians. Further applications include poly-entire functions such as covariant derivatives of Gaussian entire functions.