随机多项式单位圆附近的实根

Marcus Michelen
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引用次数: 3

摘要

设$f_n(z) = \sum_{k = 0}^n \varepsilon_k z^k$为随机多项式,其中$\varepsilon_0,\ldots,\varepsilon_n$为i.i.d.随机变量,$\mathbb{E} \varepsilon_1 = 0$和$\mathbb{E} \varepsilon_1^2 = 1$。让$r_1, r_2,\ldots, r_k$表示$f_n$的实根,我们证明了$\{|r_1| - 1,\ldots, |r_k| - 1 \}$定义的点过程在$n^{-1}$的尺度上收敛到一个非泊松极限为$n \to \infty$。进一步,我们证明了对于每个$\delta > 0$, $f_n$在单位圆的$\Theta_{\delta}(1/n)$内有一个实根,概率至少为$1 - \delta$。这解决了1995年Shepp和Vanderbei的一个猜想,证实了它的最弱形式,驳斥了它的最强形式。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real roots near the unit circle of random polynomials
Let $f_n(z) = \sum_{k = 0}^n \varepsilon_k z^k$ be a random polynomial where $\varepsilon_0,\ldots,\varepsilon_n$ are i.i.d. random variables with $\mathbb{E} \varepsilon_1 = 0$ and $\mathbb{E} \varepsilon_1^2 = 1$. Letting $r_1, r_2,\ldots, r_k$ denote the real roots of $f_n$, we show that the point process defined by $\{|r_1| - 1,\ldots, |r_k| - 1 \}$ converges to a non-Poissonian limit on the scale of $n^{-1}$ as $n \to \infty$. Further, we show that for each $\delta > 0$, $f_n$ has a real root within $\Theta_{\delta}(1/n)$ of the unit circle with probability at least $1 - \delta$. This resolves a conjecture of Shepp and Vanderbei from 1995 by confirming its weakest form and refuting its strongest form.
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