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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References
Arita, C., Ragoucy, E.: Interacting elephant random walks. Phys. Rev. E 98, 052118 (2018)
Balenzuela, P., Pinasco, J.P., Semeshenko, V.: The undecided have the key: interaction driven opinion dynamics in a three state mode. PLoS ONE 10, 1 (2015)
Baur, E.: On a class of random walks with reinforced memory. J. Stat. Phys. (2020). https://doi.org/10.1007/s10955-020-02602-3
Baur, E., Bertoin, J.: Elephant random walks and their connection to Pólya-type urns. Phys. Rev. E 94, 052134 (2016)
Bercu, B.: A martingale approach for the elephant random walk. J. Phys. A 51(1), 015201 (2018)
Bercu, B., Laulin, L.: On the multi-dimensional elephant random walk. J. Stat. Phys. 175, 1146–1163 (2019)
Bertenghi, M.: Functional limit theorems for the Multi-dimensional Elephant Random Walk. Preprint arXiv:2004.02004, 2020
Bertoin, J.: Noise reinforcement for Levy processes. Ann. Inst. H. Poincaré Probab. Statist. 56(3), 2236–2252 (2020)
Bertoin, J.: Universality of Noise Reinforced Brownian Motions. Preprint arXiv:2002.09166, 2020
Bertoin, J.: How linear reinforcement affects Donsker’s theorem for empirical processes. Probab. Theory Relat. Fields (2020). https://doi.org/10.1007/s00440-020-01001-9
Businger, S.: The shark random swim. J. Stat. Phys. 172(3), 701–717 (2018)
Coletti, C., Gava, R., Schütz, G.: Central limit theorem for the elephant random walk. J. Math. Phys. 56, 05330 (2017)
Cressoni, J., Viswanathan, G., Da Silva, M.: Exact solution of an anisotropic 2D random walk model with strong memory correlations. J. Phys. A 46, 505002 (2013)
Drezner, Z., Farnum, N.: A generalized binomial distribution. Commun. Statist. Theory Methods 22, 3051–3063 (1993)
Duflo, M.: Random Iterative Models. Applications of Mathematics, vol. 34. Springer, Berlin (1997)
Galam, S.: The drastic outcomes from voting alliances in three-party democratic voting (1990 \(\rightarrow \) 2013). J. Stat. Phys. 151, 46–48 (2013)
González-Navarrete, M., Lambert, R.: Non-Markovian random walks with memory lapses. J. Math. Phys. 59, 113301 (2018)
González-Navarrete, M., Lambert, R.: The diffusion of opposite opinions in a randomly biased environment. J. Math. Phys. 60, 113301 (2019)
González-Navarrete, M., Lambert, R.: Urn models with two types of strategies. Preprint arXiv:1708.06430, 2019
Gut, A., Stadtmuller, U.: Elephant random walks with delays. Preprint arXiv:1906.04930v1, 2019
Hall, P., Heyde, C.C.: Martingale Limit Theory and Its Application. Academic Press, New York (1980)
Hod, S., Keshet, U.: Phase transition in random walks with long-range correlations. Phys. Rev. E 70, 015104(R) (2004)
Janson, S.: Functional limit theorems for multitype branching processes and generalized Pólya urns. Stoch. Proc. Appl. 110(2), 177–245 (2004)
Kubota, N., Takei, M.: Gaussian fluctuation for superdiffusive elephant random walks. J. Stat. Phys. 177, 1157–1171 (2019)
Kumar, N., Harbola, U., Lindenberg, K.: Memory-induced anomalous dynamics: emergence of diffusion, subdiffusion, and superdiffusion from a single random walk model. Phys. Rev. E 82, 021101 (2010)
Mahmoud, H.: Pólya urn Models. CRC Press, Boca Raton (2008)
Marquioni, V.M.: Multi-dimensional elephant random walk with coupled memory. Phys. Rev. E 100, 052131 (2019)
Martins, A.C.R.: Discrete opinion dynamics with M choices. Eur. Phys. J. B 91, 1 (2020)
Schütz, G., Trimper, S.: Elephants can always remember: exact long-range memory effects in a non-Markovian random walk. Phys. Rev. E 70, 045101 (2004)
Wu, L., Qi, Y., Yang, J.: Asymptotics for dependent Bernoulli random variables. Statist. Probab. Lett. 82(3), 455–463 (2012)
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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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