Abstract
Let be a random variable with values in a proper closed convex cone , a random endomorphism of and a random integer. We assume that , , are independent. Given independent copies of we define a new random variable . Let be the corresponding transformation on the set of probability measures on i.e. maps the law of to the law of . If the matrix has dominant eigenvalue 1, we study existence and properties of fixed points of having finite nonzero expectation. Existing one dimensional results concerning are extended to higher dimensions. In particular we give conditions under which such fixed points of have multidimensional regular variation in the sense of extreme value theory and we determine the index of regular variation.
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