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Asymptotic Formulas for Extreme Statistics of Escape Times in 1, 2 and 3-Dimensions

机译:渐近公式,用于1,2和3维度的逃生时间的极端统计

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摘要

The first of N identical independently distributed (i.i.d.) Brownian trajectories that arrives to a small target sets the time scale of activation, which in general is much faster than the arrival to the target of a single trajectory only. Analytical asymptotic expressions for the minimal time is notoriously difficult to compute in general geometries. We derive here asymptotic laws for the probability density function of the first and second arrival times of a large number N of i.i.d. Brownian trajectories to a small target in 1, 2 and 3-dimensions and study their range of validity by stochastic simulations. The results are applied to activation of biochemical pathways in cellular biology.
机译:n个相同的独立分布(i.i.d.)布朗轨迹到达小目标的布朗轨迹设置了激活的时间规模,这通常比到达单个轨迹的目标的到达。 分析渐近表达式最小时间难以在一般几何形状中计算。 我们在这里派生了渐近法律,用于概率密度函数的概率密度函数,其大量n的概率密度函数。 布朗轨迹在1,2和3维中的小目标,并通过随机模拟研究其有效范围。 结果应用于细胞生物学中生化途径的激活。

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