Solutions to complex smoothing equations

preprint2015arXivOpen access

Abstract

We consider smoothing equations of the form X =law ∑j≥1TjXj+CX ~\stackrel{\mathrm{law}}{=}~ \sum_{j \geq 1} T_j X_j + C where (C,T1,T2,…)(C,T_1,T_2,\ldots) is a given sequence of random variables and X1,X2,…X_1,X_2,\ldots are independent copies of XX and independent of the sequence (C,T1,T2,…)(C,T_1,T_2,\ldots). The focus is on complex smoothing equations, i.e., the case where the random variables X,C,T1,T2,…X, C,T_1,T_2,\ldots are complex-valued, but also more general multivariate smoothing equations are considered, in which the TjT_j are similarity matrices. Under mild assumptions on (C,T1,T2,…)(C,T_1,T_2,\ldots), we describe the laws of all random variables XX solving the above smoothing equation. These are the distributions of randomly shifted and stopped Lévy processes satisfying a certain invariance property called (U,α)(U,α)-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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