Title
Ergodicity and bifurcations for stochastic logistic equation with non-Gaussian Lévy noise.
Abstract
In this paper, we will prove that the local RDS φ generated by the stochastic logistic equation with non-Gaussian Lévy noise is continuous, linear and crude cocycle by basing on multiplicative ergodic theorem. Then we determine all invariant measures of the local RDS φ generated by the stochastic logistic equation with non-Gaussian Lévy noise, and we calculate the Lyapunov exponent for each of these measures. Furthermore, we will show that the stochastic logistic equation with non-Gaussian Lévy noise admits a D-bifurcations which is significantly different from the classical Brownian motion process.
Year
DOI
Venue
2018
10.1016/j.amc.2018.01.054
Applied Mathematics and Computation
Keywords
Field
DocType
Invariant measures,Stochastic bifurcation,Discontinuous cocycles,Multiplicative ergodic theorem,Lévy noise
Applied mathematics,Ergodicity,Multiplicative function,Mathematical analysis,Ergodic theory,Gaussian,Invariant (mathematics),Brownian motion,Logistic function,Lyapunov exponent,Mathematics
Journal
Volume
ISSN
Citations 
330
0096-3003
0
PageRank 
References 
Authors
0.34
0
2
Name
Order
Citations
PageRank
Zaitang Huang142.32
Junfei Cao241.64