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Phase transitions for a unidirectional elephant random walk with a power law memory

Probability 2024-02-06 v1

Abstract

For the standard elephant random walk, Laulin (2022) studied the case when the increment of the random walk is not uniformly distributed over the past history instead has a power law distribution. We study such a problem for the unidirectional elephant random walk introduced by Harbola, Kumar and Lindenberg (2014). Depending on the memory parameter pp and the power law exponent β\beta, we obtain three distinct phases in one such phase the elephant travels only a finite distance almost surely, and the other two phases are distinguished by the speed at which the elephant travels.

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Cite

@article{arxiv.2402.02048,
  title  = {Phase transitions for a unidirectional elephant random walk with a power law memory},
  author = {Rahul Roy and Masato Takei and Hideki Tanemura},
  journal= {arXiv preprint arXiv:2402.02048},
  year   = {2024}
}

Comments

18 pages

R2 v1 2026-06-28T14:37:01.625Z