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arXiv 2012.10850math.PR
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随机正交多项式:局部普适性与实根期望个数

Random orthonormal polynomials: local universality and expected number of real roots

Yen Do, Oanh Nguyen, Van Vu

AI总结:

本文研究具有非高斯独立系数的随机正交多项式实根平均个数,在温和条件下证明其全局与局部主导渐近具有普适性,突破了以往仅适用于高斯系数的 Kac-Rice 方法限制。

摘要:

我们考虑随机正交多项式 $$ F_{n}(x)=\sum_{i=0}^{n}ξ_{i}p_{i}(x), $$ 其中 $ξ_{0}$,…,$ξ_{n}$ 是独立随机变量,具有零均值、单位方差和一致有界的 $(2+\ep)$ 阶矩,而 $(p_n)_{n=0}^{\infty}$ 是关于实直线上一个固定紧支撑测度的正交多项式系。在满足许多经典多项式系统类的温和技术假设下,我们建立了 $F_n$ 实根平均个数的主导渐近的普适性,既包括全局情形也包括局部情形。在本文之前,这些结果仅对具有高斯系数的随机正交多项式已知(参见 \cite{lubinsky2016linear}),其证明使用 Kac-Rice 公式,而该方法无法推广到本文的一般情形。

英文摘要:

We consider random orthonormal polynomials $$ F_{n}(x)=\sum_{i=0}^{n}ξ_{i}p_{i}(x), $$ where $ξ_{0}$, \dots, $ξ_{n}$ are independent random variables with zero mean, unit variance and uniformly bounded $(2+\ep)$ moments, and $(p_n)_{n=0}^{\infty}$ is the system of orthonormal polynomials with respect to a fixed compactly supported measure on the real line. Under mild technical assumptions satisfied by many classes of classical polynomial systems, we establish universality for the leading asymptotics of the average number of real roots of $F_n$, both globally and locally. Prior to this paper, these results were known only for random orthonormal polynomials with Gaussian coefficients \cite{lubinsky2016linear} using the Kac-Rice formula, a method that does not extend to the generality of our paper.

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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