本文研究独立中心化复高斯系数 Taylor 级数所定义的随机解析函数,给出其具有有界平均振荡的新的、在温和条件下最优的充分条件,并据此得到随机高斯 Hankel 矩阵范数新界及反例。
摘要:
我们考虑由具有独立、中心化复高斯系数的 Taylor 级数给出的随机解析函数。我们给出了此类函数具有有界平均振荡的一个新的充分条件。在一个温和的正则性假设下,该条件是最优的。利用 Holland 和 Walsh 的一个定理,我们作为推论给出了随机高斯 Hankel 矩阵范数的一个新界。最后,我们构造了一些例外的高斯解析函数,这些函数尤其反驳了如下猜想:具有有界平均振荡的随机解析函数总是具有消失平均振荡。
英文摘要:
We consider random analytic functions given by a Taylor series with independent, centered complex Gaussian coefficients. We give a new sufficient condition for such a function to have bounded mean oscillations. Under a mild regularity assumption this condition is optimal. Using a theorem of Holland and Walsh, we give as a corollary a new bound for the norm of a random Gaussian Hankel matrix. Finally, we construct some exceptional Gaussian analytic functions which in particular disprove the conjecture that a random analytic function with bounded mean oscillations always has vanishing mean oscillations.
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