arXiv · 2105.08258
Rates of convergence for laws of the spectral maximum of free random variables
Abstract
Let $\{X_n\}_n$ be a sequence of freely independent, identically distributed non-commutative random variables. Consider a sequence $\{W_n\}_n$ of the renormalized spectral maximum of random variables $X_1,\cdots, X_n$. It is known that the renormalized spectral maximum $W_n$ converges to the free extreme value distribution under certain conditions on the distribution function. In this paper, we provide a rate of convergence in the Kolmogorov distance between a distribution function of $W_n$ and the free extreme value distribution.
Explore related subjects
Keep this discovery
Yuki Ueda. 2021-05-18. Rates of convergence for laws of the spectral maximum of free random variables. https://arxiv.org/abs/2105.08258
Cite the original work for its findings. Save a collection to share your selection of sources.