On the number of real roots of random polynomials

Roots of random polynomials have been studied exclusively in both analysis and probability for a long time. A famous result by Ibragimov and Maslova, generalizing earlier fundamental works of Kac and Erdos-Offord, showed that the expectation of the number of real roots is $\frac{2}{\pi }\log n+o(\log n)$. In this paper, we determine the true nature of the error term by showing that the expectation equals $\frac{2}{\pi }\log n+O(1)$. Prior to this paper, such estimate has been known only in the gaussian case, thanks to works of Edelman and Kostlan.