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首页> 外文期刊>The Annals of Probability: An Official Journal of the Institute of Mathematical Statistics >QUENCHED INVARIANCE PRINCIPLES FOR THE MAXIMAL PARTICLE IN BRANCHING RANDOM WALK IN RANDOM ENVIRONMENT AND THE PARABOLIC ANDERSON MODEL
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QUENCHED INVARIANCE PRINCIPLES FOR THE MAXIMAL PARTICLE IN BRANCHING RANDOM WALK IN RANDOM ENVIRONMENT AND THE PARABOLIC ANDERSON MODEL

机译:随机环境中分支随机行走中的最大粒子的淬火不变原理和抛物线和蛋白质模型

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摘要

We consider branching random walk in spatial random branching environment (BRWRE) in dimension one, as well as related differential equations: the Fisher-KPP equation with random branching and its linearized version, the parabolic Anderson model (PAM). When the random environment is bounded, we show that after recentering and scaling, the position of the maximal particle of the BRWRE, the front of the solution of the PAM, as well as the front of the solution of the randomized Fisher-KPP equation fulfill quenched invariance principles. In addition, we prove that at time t the distance between the median of the maximal particle of the BRWRE and the front of the solution of the PAM is in 0(1110. This partially transfers classical results of Bramson (Comm. Pure Appl. Math. 31 (1978) 531-581) to the setting of BRWRE.
机译:我们考虑在维度一维的空间随机分支环境(BRWRE)中的分支随机行走,以及相关的微分方程:具有随机分支的Fisher-KPP方程及其线性化版本,抛物线和员工模型(PAM)。 当随机环境被束缚时,我们表明,在重新定化和缩放后,BRWRE的最大颗粒的位置,帕姆溶液的前部以及随机渔民-KPP方程的解决方案的前面实现了 淬火不变性原则。 另外,我们证明,在时间t,BRWRE的最大颗粒的中值与PAM溶液的前部之间的距离为0(1110.这部分地转移Bramson的经典结果(Comm。纯粹的应用。数学 。31(1978)531-581)到Brwre的设置。

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