A Monte-Carlo approach to the effect of noise on local stability in polynomial difference equations.
dc.contributor.author | Cónall, Kelly | spa |
dc.contributor.author | Morgan, Kirk | spa |
dc.date.accessioned | 2011-10-13T19:59:23Z | |
dc.date.available | 2011-10-13T19:59:23Z | |
dc.date.issued | 2011-10-13 | |
dc.description.abstract | We present an analysis of the stability behaviour of a class of one-step difference equations describing an iterated polynomial mapping. Such equations are commonly used to model population dynamics in discrete time. We use Monte-Carlo methods to investigate the effect of a state-dependent random perturbation on the local stability of such equations. In particular we focus on the probability of stability in transitionary initial-value regions; regions where a switch in the qualitative behaviour of the deterministic equation is observed. | spa |
dc.identifier.uri | https://hdl.handle.net/10893/1800 | |
dc.language.iso | en | spa |
dc.rights.accessrights | info:eu-repo/semantics/openAccess | spa |
dc.subject | Local Stability | spa |
dc.subject | Discrete Stochastic Process | spa |
dc.subject | Difference Equation | spa |
dc.subject | Monte-Carlo Simulation | spa |
dc.title | A Monte-Carlo approach to the effect of noise on local stability in polynomial difference equations. | spa |
dc.type | Artículo de revista | spa |
dspace.entity.type | Publication |