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arXiv math/0403351math.PRmath-phmath.MP
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$\mathbb{Z}^d$上独立随机游动的首中时

Hitting times for independent random walks on $\mathbb{Z}^d$

Amine Asselah, Pablo A. Ferrari

摘要:

考虑$\mathbb{Z}^d$上的非对称独立随机游动系统,记作$\{η_t,t\in{\mathbb{R}}\}$,在边缘密度$ρ>0$的乘积Poisson测度$ν_ρ$下是平稳的.我们固定了一个模式$\mathcal{A}$,一个递增的局部事件,并用$τ$表示$\mathcal{A}$的命中时间。通过使用我们的系统的损失网络表示,在小密度下,我们得到的耦合规律的$η_t$条件下$\{τ>t\}$的所有时间$t$。当$d\ge3$时,这提供了以$\{τ>t\}$为条件的$η_t$定律的收敛速率的界限,该收敛速率随着$t$趋于无穷大而朝向其极限概率测量。我们还处理的情况下,初始措施是接近$ν_ρ$,而不是产品。

英文摘要:

We consider a system of asymmetric independent random walks on $\mathbb{Z}^d$, denoted by $\{η_t,t\in{\mathbb{R}}\}$, stationary under the product Poisson measure $ν_ρ$ of marginal density $ρ>0$. We fix a pattern $\mathcal{A}$, an increasing local event, and denote by $τ$ the hitting time of $\mathcal{A}$. By using a loss network representation of our system, at small density, we obtain a coupling between the laws of $η_t$ conditioned on $\{τ>t\}$ for all times $t$. When $d\ge3$, this provides bounds on the rate of convergence of the law of $η_t$ conditioned on $\{τ>t\}$ toward its limiting probability measure as $t$ tends to infinity. We also treat the case where the initial measure is close to $ν_ρ$ without being product.

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。

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