Astron. Astrophys. 320, 672-680 (1997)
5. Chaotic diffusion in the four-body model
Fig. 12a-d illustrates a disappearance of the continuous
frequency map in the full, four-body planar model. The top figures
are, once again, the frequency versus
semi-major axis and the bottom figures are the frequency changes over
yr. Initial eccentricities are equal to 0.3.
The planar three-body model with fixed Jupiter's orbit
( ) is on the left and the planar four-body
model with Saturn is on the right. The frequency map is smooth in the
three-body model (a). Only slight discontinuities appear at some
places due to the high-order secondary resonances and the
corresponding frequency changes suggest a presence of chaos near their
separatrices (b). On the other hand, the frequency map is irregular in
the four-body model (c) and a significant diffusion exists in the
whole investigated interval (d). Other similar experiments were done
in different regions on the plane and
. All of them showed the significant chaotic
diffusion in the four-body model.
![[FIGURE]](img150.gif) |
Fig. 12. The continuous frequency map vanishes in the four-body model at
|
We have studied several intermediate three-body models including
only some basic frequencies in Jupiter's orbit. The chaotic diffusion
was already present in a wide area of the phase space, when the two
main secular frequencies and
were incorporated in Jupiter's eccentricity
and longitude of perihelion, but it was roughly by one order slower
than in the four-body model. The diffusion was significantly
accelerated, roughly to the same rate as in the four-body model, when
we added the short-periodic terms as well. These short-periodic terms,
which are present due to the 2/1 and 5/2 quasi-resonances between
Jupiter's and Saturn's mean longitudes, seem to play a crucial role in
the diffusion acceleration (Ferraz-Mello 1996).
In order to investigate the possible diffusive effect on longer
time intervals, we have made numerical integrations with various
initial conditions over 10 Myr. Each integration was started with
and . The initial
positions of Jupiter and Saturn were projected into the reference
plane and turned so that initially . The
frequencies were determined using Myr and
shifting the interval with a relatively small offset of
yr along the integration.
In Fig. 13 we show an interesting case of a trajectory
initially situated near the libration centers:
(3.27789 AU) and . An amplitude of the libration
suddenly increased (in this case at 3 Myr), what was observed in
several other examples in the neighbouring region.
![[FIGURE]](img158.gif) |
Fig. 13. The trajectory with an increasing amplitude of libration
|
In Fig. 14 we sum up the results of 16 integrated examples
over 10 Myr and plot their diffusion trajectories in the frequency
space of and . The thin
lines in the figure are the secondary resonances with
from to
. The strong low-eccentricity chaos is located
roughly under the 6/1 line (Fig. 2 and Fig. 6). The numbers
correspond to each particular initial condition. The diffusion rate
ranges from almost zero for the example 8 to values leading to a
notable transfer in the frequency space as it can be seen, for
instance, in the examples 3 and 10. In the case 3
( ( AU)), an asteroid
crosses the secondary resonances 9/1, 8/1 and 7/1, and almost reaches
the low-eccentricity chaotic region. Its eccentricity decreases from
initial 0.2 to 0.15. The case 10 is initially placed at
and
( AU). The variations
are accompanied by changes of the amplitude of the semi-major axis
oscillations, which decreases to roughly one half of the initial value
and the trajectory gets near the libration centers. The moderate
diffusion observed in the cases seen approximately along the line
connecting the cases 1 and 11 in the figure corresponds to initial
conditions far from the librations centers at
( AU) and
( AU).
![[FIGURE]](img171.gif) |
Fig. 14. Chaotic diffusion in the frequency space
|
Since each integration over 10 Myr needs several computer hours at
a workstation, we have not yet been able to extend the set of initial
conditions to a more representative sample. But, at least as a
qualitative estimate of the diffusion effect over 1 Gyr, one may
suppose, as known for diffusive processes, that the mean displacement
depends on the square root of time. Thus, if the phase-space were
roughly homogeneous, the extent of each trajectory in Fig. 14
would increase by one order. However, longer numerical integrations
showed a complexity of the phase-space and an existence of the
slow-diffusion barriers, which often confine a trajectory with a fast
diffusion to a small bounded area for a long time.
© European Southern Observatory (ESO) 1997
Online publication: June 30, 1998
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