• A
  • A
  • A
  • ABC
  • ABC
  • ABC
  • А
  • А
  • А
  • А
  • А
Regular version of the site

Working paper

Intrinsic scales for high-dimensional Levy-driven models with non-Markovian synchronizing updates

http://xxx.tau.ac.il/abs/1409.2919 We propose stochastic N -component synchronization models, whose dynamics is described by Levy processes and synchronizing jumps. We prove that symmetric models reach synchronization in a stochastic sense: differences between components have limits in distribution as t→∞. We give conditions of existence of natural (intrinsic) space scales for large synchronized systemsю. It appears that such sequence exists if the Levy process enters a domain of attraction of some stable law. For Markovian synchronization models based on α-stable Levy processes this results holds for any finite N. For non-Markovian models similar results hold only in the asymptotic sense. The class of limiting laws includes the Linnik distributions. We also discuss generalizations of these theorems to the case of non-uniform matrix-based intrinsic scales.