Expected number of real zeros of random Taylor Series
classification
🧮 math.PR
keywords
epsilonrandomrealgammaldotsnumberseriestaylor
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Let $\xi_0,\xi_1,\ldots$ be i.i.d. random variables with zero mean and unit variance. Consider a random Taylor series of the form $f(z)=\sum_{k=0}^\infty \xi_k c_k z^k$, where $c_0,c_1,\ldots$ is a real sequence such that $c_n^2$ is regularly varying with index $\gamma-1$, where $\gamma>0$. We prove that $\mathbb{E} N[0,1-\epsilon] \sim \frac{\sqrt{\gamma}}{2\pi} |\log \epsilon|$ as $\epsilon \downarrow 0$, where $N[0,r]$ denotes the number of real zeroes of $f$ in the interval $[0,r]$.
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