Intrinsic noise and discrete-time processes.
A general formalism is developed to construct a Markov chain model that converges to a one-dimensional map in the infinite population limit. Stochastic fluctuations are therefore internal to the system and not externally specified. For finite populations an approximate Gaussian scheme is devised to describe the stochastic fluctuations in the nonchaotic regime. More generally, the stochastic dynamics can be captured using a stochastic difference equation, derived through an approximation to the Markov chain. The scheme is demonstrated using the logistic map as a case study.
Dipartimento di Fisica e Astronomia, Università degli Studi di Firenze and INFN, via Sansone 1, IT 50019 Sesto Fiorentino, Italy.
Joseph D
JD
Challenger
Duccio
D
Fanelli
Alan J
AJ
McKane
D008390:Markov Chains; D008962:Models, Theoretical; D016011:Normal Distribution; D011157:Population Dynamics; D013997:Time Factors