On the expected number of roots of a random Dirichlet polynomial

Let $T>0$ and consider the random Dirichlet polynomial $S_T(t)=Re{\sum }_{n\le T}{X}_n{n}^{-1\mathrm{/}2-it}$, where $(X_n{)}_n$ are i.i.d. Gaussian random variables with mean $0$ and variance $1$. We prove that the expected number of roots of $S_T(t)$ in the dyadic interval $[T,2T]$, say $\mathbb{E}N(T)$, is approximately $2\mathrm{/}\sqrt{3}$ times the number of zeros of the Riemann $\zeta$ function in the critical strip up to height $T$. Moreover, we also compute the expected number of zeros in the same dyadic interval of the $k$-th derivative of $S_T(t)$. Our proof requires the best upper bounds for the Riemann $\zeta$ function known up to date, and also estimates for the $L^2$ averages of certain Dirichlet polynomials.