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1 IMB - Institut de Mathématiques de Bourgogne Dijon 2 LAMA - Laboratoire d-Analyse et de Mathématiques Appliquées 3 ENSAI - Ecole Nationale de la Statistique et de l-Analyse de l-Information

Abstract : We give a complete and unified description – under some stability assumptions – of the functional scaling limits associated with some persistent random walks for which the recurrent or transient type is studied in 1. As a result, we highlight a phase transition phenomenon with respect to the memory. It turns out that the limit process is either Markovian or not according to – to put it in a nutshell – the rate of decrease of the distribution tails corresponding to the persistent times. In the memoryless situation, the limits are classical strictly stable Lévy processes of infinite variations. However, we point out that the description of the critical Cauchy case fills some lacuna even in the closely related context of Directionally Reinforced Random Walks DRRWs for which it has not been considered yet. Besides, we need to introduced some relevant generalized drift – extended the classical one – in order to study the critical case but also the situation when the limit is no longer Markovian. It appears to be in full generality a drift in mean for the Persistent Random Walk PRW. The limit processes keeping some memory – given by some variable length Markov chain – of the underlying PRW are called arcsine Lamperti anomalous diffusions due to their marginal distribution which are computed explicitly here. To this end, we make the connection with the governing equations for Lévy walks, the occupation times of skew Bessel processes and a more general class modelled on Lamperti processes. We also stress that we clarify some misunderstanding regarding this marginal distribution in the framework of DRRWs. Finally, we stress that the latter situation is more flexible – as in the first paper – in the sense that the results can be easily generalized to a wider class of PRWs without renewal pattern.

Keywords : Anomalous diffusion Arcsine Lamperti marginal distributions Lévy walk Directionally reinforced random walk Persistent random walk Functional scaling limit

Autor: Peggy Cénac - Arnaud Le Ny - Basile De Loynes - Yoann Offret -



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