arXivDaily arXiv每日学术速递 周一至周五更新
arXiv周末暂无论文更新,休息一下吧,周末愉快~~
arXiv 1105.0797math.PR
收藏

多维随机递归稳定律的收敛性:正则矩阵情形

Convergence to stable laws for multidimensional stochastic recursions: the case of regular matrices

Ewa Damek, Sebastian Mentemeier, Mariusz Mirek, Jacek Zienkiewicz

摘要:

给定i.i.d.的序列$(M_{n},Q_{n})_{n\ge 1}$,本文考虑随机差分方程$(M,Q) \in GL(d, \R) \times \R^d$,并假设$κ>0$的存在性使得$$ \lim_{n \to \infty}(\E{\norm{M_1 ... M_n}^κ})^{\frac{1}{n}} = 1 .$$.在适当的假设下,证明了序列$S_n = R_1 + ... + R_n$经过适当的规范化后,依律收敛于指标为$κ$的多维稳定分布.作为一个副产品,我们证明了唯一的固定解决方案$R$的RDE是定期变化的指数$κ$,并给出了一个精确的描述其尾部措施。这扩展了先前的工作http://arxiv.org/abs/1009.1728v3。

英文摘要:

Given a sequence $(M_{n},Q_{n})_{n\ge 1}$ of i.i.d.\ random variables with generic copy $(M,Q) \in GL(d, \R) \times \R^d$, we consider the random difference equation (RDE) $$ R_{n}=M_{n}R_{n-1}+Q_{n}, $$ $n\ge 1$, and assume the existence of $κ>0$ such that $$ \lim_{n \to \infty}(\E{\norm{M_1 ... M_n}^κ})^{\frac{1}{n}} = 1 .$$ We prove, under suitable assumptions, that the sequence $S_n = R_1 + ... + R_n$, appropriately normalized, converges in law to a multidimensional stable distribution with index $κ$. As a by-product, we show that the unique stationary solution $R$ of the RDE is regularly varying with index $κ$, and give a precise description of its tail measure. This extends the prior work http://arxiv.org/abs/1009.1728v3 .

机构、总结、中文摘要均由AI分析而来,可能存在错误,请以论文正文为准。

↑