Open Access
VOL. 48 | 2006 Heavy tail properties of stationary solutions of multidimensional stochastic recursions
Yves Guivarc'h

Editor(s) Dee Denteneer, Frank den Hollander, Evgeny Verbitskiy

IMS Lecture Notes Monogr. Ser., 2006: 85-99 (2006) DOI: 10.1214/074921706000000121


We consider the following recurrence relation with random i.i.d. coefficients $(a_{n}, b_{n})$: $$ x_{n+1}=a_{n+1} x_{n}+b {n+1} %%\leqno (0)$$ where $a_{n}\in GL(d,\mathbb R), b_{n}\in \mathbb R^d$. Under natural conditions on $(a_{n}, b_{n})$ this equation has a unique stationary solution, and its support is non-compact. We show that, in general, its law has a heavy tail behavior and we study the corresponding directions. This provides a natural construction of laws with heavy tails in great generality. Our main result extends to the general case the results previously obtained by H. Kesten, Random difference equations and renewal theory for products of random matrices, under positivity or density assumptions, and the results recently developed in On the tail of the stationary distribution of a random coefficient AR(q) model, in a special framework.


Published: 1 January 2006
First available in Project Euclid: 28 November 2007

zbMATH: 1126.60052
MathSciNet: MR2306191

Digital Object Identifier: 10.1214/074921706000000121

Primary: 60G50 , 60H25
Secondary: ‎37B05‎

Keywords: heavy tail , Mellin transform , Random matrix , Random walk , stationary measure

Rights: Copyright © 2006, Institute of Mathematical Statistics

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