Independent variables with independent sum and difference: S1-case

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Abstract

A classic result in probability theory states that two independent real-valued random variables having independent sum and difference are either constant or normally distributed with the same variance. In this article conditions are round on independent random variables X and Y taking values in the group of real numbers modulo 2π so that X +Y and X - Y are independent. When X and Y are identically distributed, the small number of possible distributions for which X and Y have the desired property is known. In the general case there is a richer family of possible distributions for X and Y. © 1993 Academic Press, Inc.

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Baryshnikov, Y., Eisenberg, B., & Stadje, W. (1993). Independent variables with independent sum and difference: S1-case. Journal of Multivariate Analysis, 45(2), 161–170. https://doi.org/10.1006/jmva.1993.1031

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