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Multidimensional Walks with Random Tendency

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Abstract

We introduce a multidimensional walk with memory and random tendency. The asymptotic behaviour is characterized, proving a law of large numbers and showing a phase transition from diffusive to superdiffusive regimes. In first case, we obtain a functional limit theorem to Gaussian vectors. In superdiffusive regime, we obtain strong convergence to a non-Gaussian random vector and characterize its moments.

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Acknowledgements

The author thanks Rodrigo Lambert and Eugene Pechersky for several comments. This work was partially supported by Fondo Especial DIUBB 1901083-RS from Universidad del Bío-Bío.

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Correspondence to Manuel González-Navarrete.

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Communicated by Gregory Schehr.

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González-Navarrete, M. Multidimensional Walks with Random Tendency. J Stat Phys 181, 1138–1148 (2020). https://doi.org/10.1007/s10955-020-02621-0

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  • DOI: https://doi.org/10.1007/s10955-020-02621-0

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