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Lower bounds on fluctuations for internal DLA

机译:内部DLA波动的下限

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We consider internal diffusion limited aggregation in dimension two or more. This is a random cluster growth model, where random walks start at the origin of the lattice, one at a time, and stop moving when reaching a site that is not occupied by previous walks. When n random walks are sent from the origin, we establish a lower bound for the inner and outer errors fluctuations of order square root of the logarithm of n.When dimension is three or more, this lower bound matches the upper bound recently obtained in independent works of Asselah and Gaudillière (Ann Prob arXiv:1011.4592, 2010) and Jerison et al. (Internal DLA and the Gaussian free field arXiv:1012.3453, 2010). Also, we produce as a corollary of our proof of Asselah and Gaudillière (Ann Prob arXiv:1011.4592, 2010), an upper bound for the fluctuation of the inner error in a specified direction.
机译:我们认为内部扩散限制了二维以上的聚集。这是一个随机簇生长模型,其中随机游动始于晶格的原点,一次一次,直到到达先前游走未占据的位置时停止移动。当从原点发送n次随机游走时,我们为n个对数的阶平方根的内外误差波动确定下限。当维度为3或更大时,该下限与最近独立获得的上限匹配Asselah和Gaudillière(Ann Prob arXiv:1011.4592,2010)和Jerison等人的著作。 (内部DLA和高斯自由域arXiv:1012.3453,2010年)。同样,我们得出Asselah和Gaudillière证明的推论(Ann Prob arXiv:1011.4592,2010),是内部误差在指定方向上波动的上限。

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