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MULTIDIMENSIONAL WALKS WITH RANDOM TENDENCY

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2020
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JOURNAL OF STATISTICAL PHYSICS
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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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