Power means of random variables and characterizations of distributions via fractional calculus

Abstract

We investigate fractional moments and expectations of power means of complex-valued random variables by using fractional calculus. We deal with both negative and positive orders of the fractional derivatives. The one-dimensional distributions are characterized in terms of the fractional moments without any moment assumptions. We explicitly compute the expectations of the power means for both the univariate Cauchy distribution and the Poincar\'e distribution on the upper-half plane. We show that for these distributions the expectations are invariant with respect to the sample size and the value of the power.