Limiting empirical distribution of zeros and critical points of random polynomials agree in general

In this article, we study critical points (zeros of derivative) of random polynomials. Take two deterministic sequences $\{a_n{\}}_{n\ge 1}$ and $\{b_n{\}}_{n\ge 1}$ of complex numbers whose limiting empirical measures are same. By choosing ${\xi }_n=a_n$ or $b_n$ with equal probability, define the sequence of polynomials by $P_n(z)=(z-{\xi }_1)\dots (z-{\xi }_n)$. We show that the limiting measure of zeros and critical points agree for this sequence of random polynomials under some assumption. We also prove a similar result for triangular array of numbers. A similar result for zeros of generalized derivative (can be thought as random rational function) is also proved. Pemantle and Rivin initiated the study of critical points of random polynomials. Kabluchko proved the result considering the zeros to be i.i.d. random variables.