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Conditional Limit Theorems for Ordered Random Walks

机译:有序随机游动的条件极限定理

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In a recent paper of Eichelsbacher and Koenig (2008) the model of ordered random walks has been considered. There it has been shown that, under certain moment conditions, one can construct a $k$-dimensional random walk conditioned to stay in a strict order at all times. Moreover, they have shown that the rescaled random walk converges to the Dyson Brownian motion. In the present paper we find the optimal moment assumptions for the construction proposed by Eichelsbacher and Koenig, and generalise the limit theorem for this conditional process.
机译:在Eichelsbacher和Koenig(2008)的最新论文中,已经考虑了有序随机游走的模型。事实表明,在某些时刻条件下,人们可以构造一个维数为k的随机游动,条件是始终保持严格的顺序。此外,他们已经表明,重新缩放的随机游动收敛于戴森·布朗运动。在本文中,我们找到了由Eichelsbacher和Koenig提出的构造的最佳弯矩假设,并推广了该条件过程的极限定理。

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