Moments for multidimensional Mandelbrot cascades

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Publication:2804408

DOI10.1017/JPR.2015.4zbMATH Open1341.60027arXiv1405.2681OpenAlexW2295295994MaRDI QIDQ2804408

Author name not available (Why is that?)

Publication date: 29 April 2016

Published in: (Search for Journal in Brave)

Abstract: We consider the distributional equation extbfZstackreld=sumk=1NextbfAkextbfZ(k), where N is a random variable taking value in mathbbN0=0,1,cdots, extbfA1,extbfA2,cdots are pimesp non-negative random matrix, and extbfZ,extbfZ(1),extbfZ(2),cdots are i.i.d random vectors in in mathbbR+p with mathbbR+=[0,infty), which are independent of (N,extbfA1,extbfA2,cdots). Let mathbfYn be the multi-dimensional Mandelbrot's martingale defined as sums of products of random matrixes indexed by nodes of a Galton-Watson tree plus an appropriate vector. Its limit mathbfY is a solution of the equation above. For alpha>1, we show respectively a sufficient condition and a necessary condition for mathbbE|mathbfY|alphain(0,infty). Then for a non-degenerate solution mathbfZ of the equation above, we show the decay rates of mathbbEemathbftcdotmathbfZ as |mathbft|ightarrowinfty and those of the tail probability mathbbP(mathbfycdotmathbfZleqx) as xightarrow0 for given mathbfy=(y1,cdots,yp)inmathbbR+p, and the existence of the harmonic moments of mathbfycdotmathbfZ. As application, these above results about the moments (of positive and negative orders) of mathbfY are applied to a special multitype branching random walk. Moreover, for the case where all the vectors and matrixes of the equation above are complex, a sufficient condition for the Lalpha convergence and the alphath-moment of the Mandelbrot's martingale mathbfYn is also established.


Full work available at URL: https://arxiv.org/abs/1405.2681



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