arXivDaily arXiv每日学术速递 周一至周五更新
北美退伍军人节(Veterans Day),12 日无更新
arXiv 1206.6953math.PR
收藏

$\mathbb N_0$上反射随机游动的返回概率

Return Probabilities for the Reflected Random Walk on $\mathbb N_0$

Rim Essifi, Marc Peigné

摘要:

令$(Y_n)$是i.i.d. $\mathbb Z$值随机变量的规律为$μ$。反射的随机游动$(X_n)$由$X_0=x \in \mathbb N_0, X_{n+1}=|X_n+Y_{n+1}|$递归地定义。在对规律$μ$的温和假设下,证明了对于任何$ y \in \mathbb N_0$,作为$n \to +\infty$,对于某些常数$R, C_{x, y}$和$C_y >0$,当$\sum_{k\in \mathbb Z} kμ(k) >0$时得到$\mathbb P_x[X_n=y]\sim C_{x, y} R^{-n} n^{-3/2}$,当$\sum_{k\in \mathbb Z} kμ(k) =0$时得到$\mathbb P_x[X_n=y]\sim C_{y} n^{-1/2}$.

英文摘要:

Let $(Y_n)$ be a sequence of i.i.d. $\mathbb Z$-valued random variables with law $μ$. The reflected random walk $(X_n)$ is defined recursively by $X_0=x \in \mathbb N_0, X_{n+1}=|X_n+Y_{n+1}|$. Under mild hypotheses on the law $μ$, it is proved that, for any $ y \in \mathbb N_0$, as $n \to +\infty$, one gets $\mathbb P_x[X_n=y]\sim C_{x, y} R^{-n} n^{-3/2}$ when $\sum_{k\in \mathbb Z} kμ(k) >0$ and $\mathbb P_x[X_n=y]\sim C_{y} n^{-1/2}$ when $\sum_{k\in \mathbb Z} kμ(k) =0$, for some constants $R, C_{x, y}$ and $C_y >0$.

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。

↑