TY - JOUR
T1 - Error distribution in randomly perturbed orbits
AU - Marie, Ph
AU - Turchetti, G.
AU - Vaienti, S.
AU - Zanlungo, F.
N1 - Funding Information:
F.Z. has been partially supported by the GDRE 224 GREFI-MEFI (jointly sponsored by the French CNRS and the Italian INDAM). The authors thank the anonymous referees whose remarks and suggestions contributed to improve the paper.
PY - 2009
Y1 - 2009
N2 - Given an observable f defined on the phase space of some dynamical system generated by the map T, we consider the error between the value of the function f (Tn x0) computed at time n along the orbit with initial condition x0, and the value f (Tωn x 0) of the same observable computed by replacing the map Tn with the composition of maps T ωn T o⋯oT ω1, where each Tω is chosen randomly, by varying ω, in a neighborhood of size ε of T. We show that the random variable Δnε ≡ f (Tn x 0) -f (Tωn x0), depending on the initial condition x0 and on the choice of the realization ω, will converge in distribution when n→∞ to what we call the asymptotic error. We study in detail the density of the distribution function of the asymptotic error for a wide class of dynamical systems perturbed with additive noise: for a few of them we give rigorous results, for the others we provide a numerical investigation. Our study is intended as a model for the effects of numerical noise due to roundoff on dynamical systems.
AB - Given an observable f defined on the phase space of some dynamical system generated by the map T, we consider the error between the value of the function f (Tn x0) computed at time n along the orbit with initial condition x0, and the value f (Tωn x 0) of the same observable computed by replacing the map Tn with the composition of maps T ωn T o⋯oT ω1, where each Tω is chosen randomly, by varying ω, in a neighborhood of size ε of T. We show that the random variable Δnε ≡ f (Tn x 0) -f (Tωn x0), depending on the initial condition x0 and on the choice of the realization ω, will converge in distribution when n→∞ to what we call the asymptotic error. We study in detail the density of the distribution function of the asymptotic error for a wide class of dynamical systems perturbed with additive noise: for a few of them we give rigorous results, for the others we provide a numerical investigation. Our study is intended as a model for the effects of numerical noise due to roundoff on dynamical systems.
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U2 - 10.1063/1.3267510
DO - 10.1063/1.3267510
M3 - Article
C2 - 20059214
AN - SCOPUS:74349085533
SN - 1054-1500
VL - 19
JO - Chaos
JF - Chaos
IS - 4
M1 - 043118
ER -