arXiv · 1206.1709
Heavy tailed solutions of multivariate smoothing transforms
Abstract
Let $N > 1$ be a fixed integer and $(C_1,..., C_N,Q)$ a random element of $GL(d, \R)^N x \R^d$. We consider solutions of multivariate smoothing transforms, i.e. random variables $R$ satisfying $$R \eqdist \sum_{i=1}^N C_i R_i +Q $$ where $\eqdist$ denotes equality in distribution, and $R, R_1,..., R_N$ are independent identically distributed $\R^d$-valued random variables, and independent of $(C_1,..., C_N, Q)$. We briefly review conditions for the existence of solutions, and then study their asymptotic behaviour. We show that under natural conditions, these solutions exhibit heavy tails. Our results also cover the case of complex valued weights $(C_1,..., C_N)$.
Explore related subjects
Keep this discovery
Dariusz Buraczewski, Ewa Damek, Sebastian Mentemeier, Mariusz Mirek. 2013-02-05. Heavy tailed solutions of multivariate smoothing transforms. https://doi.org/10.1016/j.spa.2013.02.003
Cite the original work for its findings. Save a collection to share your selection of sources.