Analytic Gaussian functions in the unit disc: probability of zeros absence
In the paper we consider a random analytic function of the form $$f(z,\omega )=\sum\limits_{n=0}^{+\infty}\varepsilon_n(\omega_1)\xi_n(\omega_2)a_nz^n.$$ Here $(\varepsilon_n)$ is a sequence of inde\-pendent Steinhaus random variables, $(\xi_n)$ is a sequence of indepen\-dent standard complex Gaussi...
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| Main Authors: | , |
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| Format: | Article |
| Language: | German |
| Published: |
Ivan Franko National University of Lviv
2023-03-01
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| Series: | Математичні Студії |
| Subjects: | |
| Online Access: | http://matstud.org.ua/ojs/index.php/matstud/article/view/401 |
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| Summary: | In the paper we consider a random analytic function of the form
$$f(z,\omega )=\sum\limits_{n=0}^{+\infty}\varepsilon_n(\omega_1)\xi_n(\omega_2)a_nz^n.$$
Here $(\varepsilon_n)$ is a sequence of inde\-pendent Steinhaus
random variables, $(\xi_n)$ is a sequence of indepen\-dent standard complex Gaussian
random variables, and a sequence of numbers $a_n\in\mathbb{C}$
such that
$a_0\neq0,\ \varlimsup\limits_{n\to+\infty}\sqrt[n]{|a_n|}=1,\ \sup\{|a_n|\colon n\in\mathbb{N}\}=+\infty.$
We investigate asymptotic estimates of the
probability $p_0(r)=\ln^-P\{\omega\colon f(z,\omega )$ has
no zeros inside $r\mathbb{D}\}$ as $r\uparrow1$ outside some set $E$ of finite logarithmic measure. Denote
$
N(r):=\#\{n\colon |a_n|r^n>1\},$ $ s(r):=2\sum_{n=0}^{+\infty}\ln^+(|a_n|r^{n}),
$
$ \alpha:=\varliminf\limits_{r\uparrow1}\frac{\ln N(r)}{\ln\frac{1}{1-r}}.
$
The article, in particular, proves the following statements:
1) if $\alpha>4$ then
$\displaystyle\lim\limits_{\stackrel{r\uparrow1}{r\notin E}}\frac{\ln(p_0(r)- s(r))}{\ln N(r)}=1$;
2) if $\alpha=+\infty$ then
$\displaystyle 0\leq\varliminf\limits_{\stackrel{r\uparrow1}{r\notin E}}\frac{\ln(p_0(r)- s(r))}{\ln s(r)},\quad \varlimsup\limits_{\stackrel {r\uparrow1}{r\notin E}}\frac{\ln(p_0(r)- s(r))}{\ln s(r)}\leq\frac1{2}.$
Here $E$ is a set of finite logarithmic measure. The obtained asymptotic estimates are in a certain sense best possible.
Also we give an answer to an open question from \!\cite[p. 119]{Nishry2013} for such random functions. |
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| ISSN: | 1027-4634 2411-0620 |