On the rate of convergence in the central limit theorem for hierarchical Laplacian
read the original abstract
Let $(X,d)$ be a proper ultrametric space. Given a measure $m$ on $X$ and a function $C(B)$ defined on the set of all non-singleton balls $B$ we consider the hierarchical Laplacian $L=L_{C}$. Choosing a sequence $\{\varepsilon (B)\}$ of i.i.d. random variables we define the perturbed function $C(B,\omega )$ and the perturbed hierarchical Laplacian $L^{\omega }=L_{C(\omega )}.$ We study the arithmetic means $\overline{\lambda }(\omega )$ of the $L^{\omega }$-eigenvalues. Under some mild assumptions the normalized arithmetic means $\big( \overline{\lambda }-\mathbb{E}\overline{\lambda }\big) /\sigma \big( \overline{\lambda }\big) $ converge in law to the standard normal distribution. In this note we study convergence in the total variation distance and estimate the rate of convergence.
This paper has not been read by Pith yet.
discussion (0)
Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.