| Author(s): |
Belitsky, V.
;
Menshikov, M.
;
Petritis, D.
;
Vachkovskaia, M.
Total Authors: 4
|
| Document type: | Journal article |
| Source: | Markov Processes and Related Fields; v. 22, n. 4, p. 629-652, 2016. |
| Web of Science Citations: | 0 |
| Abstract | |
Motivated by the study of the time evolution of random dynamical systems arising in a vast variety of domains - ranging from physics to ecology - we establish conditions for the occurrence of a non-trivial asymptotic behaviour for these systems in the absence of an ellipticity condition. More precisely, we classify these systems according to their type and - in the recurrent case provide with sharp conditions quantifying the nature of recurrence by establishing which moments of passage times exist and which do not exist. The problem is tackled by mapping the random dynamical systems into Markov chains on R with heavy-tailed innovation and then using powerful methods stemming from Lyapunov functions to map the resulting Markov chains into positive semi-martingales. (AU) | |
| FAPESP's process: | 09/52379-8 - Stochastic modeling of interacting systems |
| Grantee: | Fabio Prates Machado |
| Support Opportunities: | Research Projects - Thematic Grants |
| FAPESP's process: | 11/07000-0 - Random walks and related topics |
| Grantee: | Serguei Popov |
| Support Opportunities: | Research Grants - Visiting Researcher Grant - International |
| FAPESP's process: | 11/51509-5 - Externalities and economic behavior |
| Grantee: | Fernando Pigeard de Almeida Prado |
| Support Opportunities: | Regular Research Grants |