Abstract

Let ZZ be a random variable with values in a proper closed convex cone C⊂RdC\subset \mathbb{R}^d, AA a random endomorphism of CC and NN a random integer. We assume that ZZ, AA, NN are independent. Given NN independent copies (Ai,Zi)(A_i,Z_i) of (A,Z)(A,Z) we define a new random variable Z^=∑i=1NAiZi\hat Z = \sum_{i=1}^N A_i Z_i. Let TT be the corresponding transformation on the set of probability measures on CC i.e. TT maps the law of ZZ to the law of Z^\hat Z. If the matrix E[N]E[A]\mathbb{E}[N] \mathbb{E} [A] has dominant eigenvalue 1, we study existence and properties of fixed points of TT having finite nonzero expectation. Existing one dimensional results concerning TT are extended to higher dimensions. In particular we give conditions under which such fixed points of TT have multidimensional regular variation in the sense of extreme value theory and we determine the index of regular variation.

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