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arxiv: 1711.04676 · v1 · pith:7ID3YX25new · submitted 2017-11-13 · 🧮 math.PR

Scaling of sub-ballistic 1D Random Walks among biased Random Conductances

classification 🧮 math.PR
keywords randomalphacaseconductanceswalkbiasbiasedfirst
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We consider two models of one-dimensional random walks among biased i.i.d. random conductances: the first is the classical exponential tilt of the conductances, while the second comes from the effect of adding an external field to a random walk on a point process (the bias depending on the distance between points). We study the case when the walk is transient to the right but sub-ballistic, and identify the correct scaling of the random walk: we find $\alpha \in[0,1]$ such that $\log X_n / \log n \to \alpha$. Interestingly, $\alpha$ does not depend on the intensity of the bias in the first case, but it does in the second case.

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