Axis-Driven Random Walks on $\mathbb{Z}^2$ (transient cases)
Fuente:
arXiv
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| Autore principale: | |
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| Natura: | Preprint |
| Pubblicazione: |
2024
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| _version_ | 1866909399727996928 |
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| author | Andreoletti, Pierre |
| author_facet | Andreoletti, Pierre |
| contents | Axis-driven random walks were introduced by P. Andreoletti and P. Debs [AD23] to provide a rough description of the behaviour of a particle trapped in a localized force field. In contrast to their work, we examine the scenario where a repulsive force (controlled by a parameter $α$) is applied along the axes, with the hypothesis that the walk remains diffusive within the cones. This force gradually pushes the particle away from the origin whenever it encounters an axis. We prove that even with a minimal force (i.e., a small $α$), the walk exhibits transient, superdiffusive behaviour, and we derive the left and right tails of its distribution. |
| format | Preprint |
| id |
arxiv_https___arxiv_org_abs_2411_14766 |
| institution | arXiv |
| publishDate | 2024 |
| record_format | arxiv |
| spellingShingle | Axis-Driven Random Walks on $\mathbb{Z}^2$ (transient cases) Andreoletti, Pierre Probability Axis-driven random walks were introduced by P. Andreoletti and P. Debs [AD23] to provide a rough description of the behaviour of a particle trapped in a localized force field. In contrast to their work, we examine the scenario where a repulsive force (controlled by a parameter $α$) is applied along the axes, with the hypothesis that the walk remains diffusive within the cones. This force gradually pushes the particle away from the origin whenever it encounters an axis. We prove that even with a minimal force (i.e., a small $α$), the walk exhibits transient, superdiffusive behaviour, and we derive the left and right tails of its distribution. |
| title | Axis-Driven Random Walks on $\mathbb{Z}^2$ (transient cases) |
| topic | Probability |
| url | https://arxiv.org/abs/2411.14766 |