Far tails of the biased CTRW model under the short time limit

Wanli Wang; Kaixin Zhang; Yuda Cheng

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arXiv · 2601.11965

Far tails of the biased CTRW model under the short time limit

Wanli Wang·Kaixin Zhang·Yuda Cheng

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Abstract

It has been observed in numerous experiments, simulations, and various theoretical treatments that the spreading of particles can be modeled by the continuous-time random walk. We consider two well-known cases, i.e., Gaussian displacements and discrete displacements, to compute the position distribution and demonstrate the emergence of exponential decay in the far tails when a bias is introduced. We further analyze the temporal rate function and the positional rate function to examine the convergence of the theoretical predictions. For Gaussian displacements, we further discuss the relationship between the position distributions with and without bias in different asymptotic limits.

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Wanli Wang, Kaixin Zhang, Yuda Cheng. 2026-01-17. Far tails of the biased CTRW model under the short time limit. https://arxiv.org/abs/2601.11965

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