Scaling limit theorem for mixed free and Boolean convolution powers

Abstract

We prove a scaling limit theorem for a double sequence of probability measures involving additive free convolution $\boxplus$ and additive Boolean convolution $\uplus$. Let $μ$ be a probability measure on $\mathbb{R}$ with mean zero and variance one, and let $M=M(N)>0$ satisfy $MN^{α+1/2}\to t>0$. We study the weak limits, as $N\to \infty$, of the double arrays $D_{N^α}((μ^{\boxplus N})^{\uplus M})$. We show that the limit distribution is the Cauchy distribution with scale parameter $t$ if $α>-1/2$, the $t$-fold Boolean convolution power of the standard semicircle law if $α=-1/2$, and the point mass at the origin if $α<-1/2$.