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.

Intrinsic noise and discrete-time processes / Joseph D. Challenger; Duccio Fanelli; and Alan J. McKane. - In: PHYSICAL REVIEW. E, STATISTICAL, NONLINEAR AND SOFT MATTER PHYSICS. - ISSN 1550-2376. - STAMPA. - 88:(2013), pp. 040102-1-040102-4.

Intrinsic noise and discrete-time processes

CHALLENGER, JOSEPH;FANELLI, DUCCIO;
2013

Abstract

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.
2013
88
040102-1
040102-4
Joseph D. Challenger; Duccio Fanelli; and Alan J. McKane
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Utilizza questo identificatore per citare o creare un link a questa risorsa: https://hdl.handle.net/2158/860906
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