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A Lower Bound of Lp Norms in the CLT for Strongly Mixing Random Variables
Authors:J. Sunklodas
Affiliation:(1) Institute of Mathematics and Informatics, Akademijos 4, LT-08663 Vilnius, Lithuania
Abstract:We derive a lower bound of L p norms, 1 ⩽ p ⩽ ∞, in the central limit theorem for strongly mixing random variables X 1,..., X n with 
$$mathbb{E}X_i ; = ;0$$
under the boundedness condition ℙ{|X i | ⩽ M} = 1 with a nonrandom constantM > 0 and condition ∑ r⩾1 r 2α(r) < ∞, where α(r) are the Rosenblatt strong mixing coefficients. __________ Translated from Lietuvos Matematikos Rinkinys, Vol. 45, No. 4, pp. 587–602, October–December, 2005.
Keywords:lower bounds of L p norms  central limit theorem  strongly mixing random variables
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