@techreport{eprints3114,
            year = {2016},
     institution = {IMT Institute for Advanced Studies Lucca},
          author = {Irene Crimaldi and Paolo Dai Pra and Pierre-Yves Louis and Ida G. Minelli},
           title = {Syncronization and functional central limit theorems for interacting reinforced random walks},
            type = {Working Paper},
            note = {submitted},
             url = {http://eprints.imtlucca.it/3114/},
        keywords = {interacting random systems; synchronization; functional central limit theorems; urn
models; reinforced processes; dynamics on random graphs},
        abstract = {We obtain Central Limit Theorems in Functional form for a class of time-inhomogeneous interacting random walks on the simplex of probability measures over a finite set. Due to a reinforcement mechanism, the increments of the walks are correlated, forcing their convergence to the same, possibly random, limit. Random walks of this form have been introduced in the context of urn models and in stochastic approximation. We also propose an application to opinion dynamics in a random network evolving via preferential attachment. We study, in particular, random walks interacting through a mean-field rule and compare the rate they converge to their limit with the rate of synchronization, i.e. the rate at which their mutual distances converge to zero. Under certain conditions, synchronization is faster than convergence.}
}