Law of Large Numbers for Monotone Convolution

Abstract

Using martingale convergence theorem, we prove a law of large numbers for monotone convolutions ${\mu }_1▹{\mu }_2▹\cdots ▹{\mu }_n$, where ${\mu }_j$'s are probability laws on $\mathbb{R}$ with finite variances but not required to be identical.