On the asymptotics of a lazy reinforced random walk

Fuente: arXiv
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Autores principales: González-Navarrete, Manuel, Lambert, Rodrigo, Guevara, Víctor Hugo Vázquez
Formato: Preprint
Publicado: 2024
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author González-Navarrete, Manuel
Lambert, Rodrigo
Guevara, Víctor Hugo Vázquez
author_facet González-Navarrete, Manuel
Lambert, Rodrigo
Guevara, Víctor Hugo Vázquez
contents Based on a martingale theory approach, we present a complete characterization of the asymptotic behaviour of a lazy reinforced random walk (LRRW) which shows three different regimes (diffusive, critical and superdiffusive). This allows us to prove versions of the law of large numbers, the quadratic strong law, the law of iterated logarithm, the almost sure central limit theorem and the functional central limit theorem in the diffusive and critical regimes. In the superdiffusive regime we obtain a strong convergence to a random variable, including a central limit theorem and a law of iterated logarithm for the fluctuations.
format Preprint
id arxiv_https___arxiv_org_abs_2402_08033
institution arXiv
publishDate 2024
record_format arxiv
spellingShingle On the asymptotics of a lazy reinforced random walk
González-Navarrete, Manuel
Lambert, Rodrigo
Guevara, Víctor Hugo Vázquez
Probability
G.3
Based on a martingale theory approach, we present a complete characterization of the asymptotic behaviour of a lazy reinforced random walk (LRRW) which shows three different regimes (diffusive, critical and superdiffusive). This allows us to prove versions of the law of large numbers, the quadratic strong law, the law of iterated logarithm, the almost sure central limit theorem and the functional central limit theorem in the diffusive and critical regimes. In the superdiffusive regime we obtain a strong convergence to a random variable, including a central limit theorem and a law of iterated logarithm for the fluctuations.
title On the asymptotics of a lazy reinforced random walk
topic Probability
G.3
url https://arxiv.org/abs/2402.08033