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arXiv math/0501107math.PR
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随机障碍物上随机游动从退火渐近到淬火渐近的转变

Transition from the annealed to the quenched asymptotics for a random walk on random obstacles

Gérard Ben Arous, Stanislav Molchanov, Alejandro F. Ramírez

摘要:

在这项工作中,我们研究了一个自然的过渡机制,描述了从淬火(几乎肯定)政权退火(平均)的通道,对称简单的随机游动上的随机障碍的网站上有一个相同的和独立的法律。我们研究的过渡机制首先由Ben Arous,Bogachev和Molchanov在[Probab.理论相关领域132(2005)579- 612]。令$p(x,t)$为从点$x$开始的随机游动在时间$t$的生存概率,并令$L(t)$为时间的某个增函数。我们发现,经验平均值的$p(x,t)$在一个盒子的侧$L(t)$有不同的渐近行为,取决于$L(t)$。这里有常数$0<γ_1<γ_2$,使得如果$L(t)\ge e^{γt^{d/(d+2)}}$,在$γ>γ_1$下,满足大数定律,并且经验生存概率像退火概率一样减小;如果$L(t)\ge e^{γt^{d/(d+2)}}$,在$γ>γ_2$下,也满足中心极限定理。如果是${L(t)\ll t}$,则平均存活概率与淬灭存活概率一样降低。如果$t\ll L(t)$和$\log L(t)\ll t^{d/(d+2)}$,我们得到一个中间状态。此外,当维度$d=1$时,可以描述平均生存概率的波动时,$L(t)=e^{γt^{d/(d+2)}}$与$γ<γ_2$:它表明,它们是无限可分的法律与Lévy谱函数爆炸时,$x\to0$作为稳定的法律的特征指数$α<2$。这些结果表明,淬火和退火的生存概率对应于一个平均场型相变机制的低温和高温行为。

英文摘要:

In this work we study a natural transition mechanism describing the passage from a quenched (almost sure) regime to an annealed (in average) one, for a symmetric simple random walk on random obstacles on sites having an identical and independent law. The transition mechanism we study was first proposed in the context of sums of identical independent random exponents by Ben Arous, Bogachev and Molchanov in [Probab. Theory Related Fields 132 (2005) 579--612]. Let $p(x,t)$ be the survival probability at time $t$ of the random walk, starting from site $x$, and let $L(t)$ be some increasing function of time. We show that the empirical average of $p(x,t)$ over a box of side $L(t)$ has different asymptotic behaviors depending on $L(t)$. T here are constants $0<γ_1<γ_2$ such that if $L(t)\ge e^{γt^{d/(d+2)}}$, with $γ>γ_1$, a law of large numbers is satisfied and the empirical survival probability decreases like the annealed one; if $L(t)\ge e^{γt^{d/(d+2)}}$, with $γ>γ_2$, also a central limit theorem is satisfied. If ${L(t)\ll t}$, the averaged survival probability decreases like the quenched survival probability. If $t\ll L(t)$ and $\log L(t)\ll t^{d/(d+2)}$ we obtain an intermediate regime. Furthermore, when the dimension $d=1$ it is possible to describe the fluctuations of the averaged survival probability when $L(t)=e^{γt^{d/(d+2)}}$ with $γ<γ_2$: it is shown that they are infinitely divisible laws with a Lévy spectral function which explodes when $x\to0$ as stable laws of characteristic exponent $α<2$. These results show that the quenched and annealed survival probabilities correspond to a low- and high-temperature behavior of a mean-field type phase transition mechanism.

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