
Consider the dynamical noise called ``pseudonoise'' corrupting a time series generated by a discrete iterated function system (map). Especially, the discrete maps \[ x_{n+1} = f(x_n) \] modified by the two types of maps \[ y_{n+1} = f(y_n) + \eta_n \] or \[ z_{n+1} = f(z_n+\eta_n) \] with noise terms \(\eta_n\) are under consideration. The authors discuss the influence of the dynamical noise \(\eta_n\) on dynamics and the distribution of its ``pseudonoise'' which is determined by the Jacobian of the mapping \(f\). The Gaussian case and quadratic maps are also treated.
time series analysis, dynamical noise, quadratic maps, distribution, iterated function systems, Time series analysis of dynamical systems, chaotic systems, Additive difference equations, Generation, random and stochastic difference and differential equations, Jacobian
time series analysis, dynamical noise, quadratic maps, distribution, iterated function systems, Time series analysis of dynamical systems, chaotic systems, Additive difference equations, Generation, random and stochastic difference and differential equations, Jacobian
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