Bounds on the constant in the mean central limit theorem

preprint2010arXivOpen access

Abstract

Let X1,.˙.,XnX_1,\...,X_n be independent with zero means, finite variances σ12,.˙.,σn2σ_1^2,\...,σ_n^2 and finite absolute third moments. Let FnF_n be the distribution function of (X1+.˙.+Xn)/σ(X_1+\...+X_n)/σ, where σ2=∑i=1nσi2σ^2=\sum_{i=1}^nσ_i^2, and ΦΦ that of the standard normal. The L1L^1-distance between FnF_n and ΦΦ then satisfies ∥Fn−Φ∥1≤1σ3∑i=1nE∣Xi∣3.\Vert F_n-Φ\Vert_1\le\frac{1}{σ^3}\sum_{i=1}^nE|X_i|^3. In particular, when X1,.˙.,XnX_1,\...,X_n are identically distributed with variance σ2σ^2, we have \[\Vert F_n-Φ\Vert_1\le\frac{E|X_1|^3}{σ^3\sqrt{n}}\qquad for all $n\in\mathbb{N}$,\] corresponding to an L1L^1-Berry--Esseen constant of 1.

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