eprintid: 3942 rev_number: 5 eprint_status: archive userid: 36 dir: disk0/00/00/39/42 datestamp: 2018-03-05 09:56:48 lastmod: 2018-03-05 09:56:48 status_changed: 2018-03-05 09:56:48 type: article succeeds: 3114 metadata_visibility: show creators_name: Crimaldi, Irene creators_name: Dai Pra, Paolo creators_name: Louis, Pierre-Yves creators_name: Minelli, Ida G. creators_id: irene.crimaldi@imtlucca.it creators_id: daipra@math.unipd.it creators_id: pierre-yves.louis@math.cnrs.fr creators_id: ida.minelli@dm.univaq.it title: Synchronization and functional central limit theorems for interacting reinforced random walks ispublished: inpress subjects: HA subjects: QA divisions: EIC full_text_status: none monograph_type: working_paper 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. Due to a reinforcement mechanism and interaction, the walks are strongly correlated and converge almost surely to the same, possibly random, limit. We study 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. We show that, under certain conditions, synchronization is faster than convergence. Even if our focus is on theoretical results, we propose as main motivations two contexts in which such results could directly apply: urn models and opinion dynamics in a random network evolving via preferential attachment. date_type: published publication: Stochastic processes and their applications publisher: Elsevier institution: IMT Institute for Advanced Studies Lucca refereed: TRUE issn: 0304-4149 projects: crisis lab citation: Crimaldi, Irene and Dai Pra, Paolo and Louis, Pierre-Yves and Minelli, Ida G. Synchronization and functional central limit theorems for interacting reinforced random walks. Stochastic processes and their applications. ISSN 0304-4149 (In Press)