Central Limit Theorems for Radial Random Walks on Matrices for
arXiv:1201.3816
Abstract
Let be a fixed probability measure. For each dimension $p\in\b N$, let be i.i.d. $\b R^p$-valued radial random variables with radial distribution . We derive two central limit theorems for for with normal limits. The first CLT for follows from known estimates of convergence in the CLT on $\b R^p$, while the second CLT for will be a consequence of asymptotic properties of Bessel convolutions. Both limit theorems are considered also for -invariant random walks on the space of matrices instead of $\b R^p$ for and fixed dimension .