Sensitivity to Initial Conditions for the Logistic Map

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This Demonstration shows the evolution of the distance between two orbits of the logistic map
, where
or
. The two orbits are initially separated by a perturbation of size
. The plot is of
versus
for an orbit starting at
, perturbation
and parameter
. An estimate of the error amplification factor
and the Lyapunov exponent
are shown at the top of the graphic.
Contributed by: Santos Bravo Yuste (January 2018)
Open content licensed under CC BY-NC-SA
Snapshots
Details
This Demonstration shows how the distance between an orbit
of the logistic map starting at
and a perturbed orbit
starting at
evolves. The initial perturbation
is the starting error
. The error changes on average with a rate
(the error amplification factor), so that the error after
iterations is roughly given by
(see [1, Section 10.1] for more details). The Lyapunov exponent is
. The plot is of
versus
for an orbit starting at
with perturbation
and parameter
. You can explore how
changes with:
the starting value ,
the initial size of the perturbation ,
the parameter of the logistic map:
.
The Lyapunov exponent is estimated by means of the slope
of the linear fitting of
. The expansion factor is
, and
. (This exponent
is better estimated by
for
; see the Related Link "Lyapunov Exponents for the Logistic Map" and [1]).
The iterations stop if or
or
. The starting point of the perturbed orbit is
if
.
Reference
[1] H.-O. Peitgen, H. Jürgens and D. Saupe, Chaos and Fractals: New Frontiers of Science, 2nd ed., New York: Springer, 2004.
Permanent Citation