Abstract
We consider smoothing equations of the form where is a given sequence of random variables and are independent copies of and independent of the sequence . The focus is on complex smoothing equations, i.e., the case where the random variables are complex-valued, but also more general multivariate smoothing equations are considered, in which the are similarity matrices. Under mild assumptions on , we describe the laws of all random variables solving the above smoothing equation. These are the distributions of randomly shifted and stopped Lévy processes satisfying a certain invariance property called -stability, which is related to operator (semi)stability. The results are applied to various examples from applied probability and statistical physics.
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