2.1. Case
We consider two vortices with circulations
(if
, the motion of the system will simply happen in the opposite direction). It is known that in such a system, both vortices will move in straight lines, parallel to one another with a constant velocity [
14]. Without any loss of generality, it is possible to consider a system where the vortices are initially on the imaginary axis and separated by a distance
, i.e.,
.
The solutions of Equation (
1) for this case are thus
The equation of motion for a passive particle in this system is non-autonomous and given by
Now, consider the change of coordinates
. This corresponds to changing the frame that is co-moving with the pair of vortices at a constant velocity. Thus, in this frame, the vortices are stationary, and their positions are
and
. The equation of motion of a passive particle is now governed by the autonomous differential equation
Our aim is to describe the trajectories of passive particles. In this co-moving frame, stagnation points are the simplest possible trajectories and correspond to particles that move with the same velocity as the vortices in the original frame. These correspond to zeros of
, and it is easy to see that the system has only two of them:
. These correspond to the Lagrangian points of the system and are real solutions of Equation (
6), but they are not the only real solutions for this equation.
We can also see that, if there is a solution of Equation (
6), with
(
denoting the imaginary part of
w) at some time
t, such a solution will have
. As such, solutions of the form
for Equation (
6) must satisfy the equation
It is possible to integrate Equation (
7) and find an implicit expression for its non-stationary solutions:
Note that this equation defines three different solutions of Equation (
7), depending on the initial value
, and that these three solutions and the stagnation points make up the full real axis. This means that the real axis is a physical barrier to the motion of passive particles, as, by the existence and uniqueness of solutions theorem for ordinary differential equations, there can not exist a passive particle trajectory that crosses it. Furthermore, we can see that as
, the following hold:
If , then ;
If , then ;
If , then .
Thus, solutions in the real axis are attracted to and repelled from .
To understand the motion of passive particles in the rest of the 2D plane, we rewrite Equation (
6) as a system of two real ODEs,
where we have rescaled time
for simplicity.
We first analyze the stability of the Lagrangian points by checking the eigenvalues and eigenvectors of the linearization of on those points.
Defining the quantities
and
we have
Thus, the stagnation points are both saddle points. Locally, attracts solutions on the direction and repels them on the direction, while we observe the exact opposite behavior in a neighborhood of .
Using a stream function formulation, the system (
9) can be further rewritten as
,
. The stream function for this system is time-independent and can be written as
Thus, the trajectories of passive particles can be identified as the level sets of
(this is only true if the stream function is time-independent [
15]). Equivalently, this can be rewritten in a clearer manner as a modified stream function
Notice that for
. This, together with the fact that
, means that there should be a trajectory of a passive particle linking the stagnation points other than the one on the real axis. These trajectories thus separate the infinite plane in four regions. A particle that starts its trajectory in one region cannot cross into any of the other three regions. We can further assess that two of these regions are closed and each of them contains one of the vortices. In fact, it is possible to easily draw the phase diagram of the system with this information. The phase diagram is drawn in
Figure 1. This figure and its interpretation is already depicted in Lamb’s textbook [
16].
The boundary between the different regions can be defined implicitly using the modified stream function as
, or, more explicitly,
The two closed regions defined by Equation (
13) are called the atmospheres of the vortices, and their existence has been shown in simulations in numerous works [
12,
17] for systems of any number of vortices.
It is also possible to obtain an expression for the area of each of these closed regions. Notice that the
x- and
y-axis are also symmetry axes for the solutions of the system. Thus, we only need to calculate the area enclosed in the region of interest that lies on the first quadrant, i.e., the area below the curve,
It is possible to rewrite Equation (
13) as
and by finding (numerically) some
such that
, the area of each atmosphere can be calculated as
and thus, for a system where the vortices are separated by a distance
d, the area of each atmosphere is
It is also possible to compute the perimeter of each atmosphere. The length of the curve
can be found as
Thus, the perimeter of each atmospheric island is
. Notice that in this case, the shape of the islands does not depend on the circulation
k. The results are summarized in
Table 1.
Lamb [
16] and Meleshko et al. [
18] have described the region comprising these two islands as approximately an ellipse; however, it is clear that Equation (
15) is not the equation for an ellipse. We can find numerically the points
such that
and
such that
on the curve. These points can then be identified as the semi-axes of the ellipse that approximates the vortex atmospheres.
We find
and
, which makes the elliptical approximation for each island have an area of ≈1.41969734979125
. This corresponds to a relative error of ≈3.76‰ for the area (so, the actual atmospheres have an area slightly bigger than the approximating ellipse). The values we found for
,
and the area of the approximating ellipse are in line with the findings of [
16,
18] after adjusting for the difference in the initial distance of the vortices in each study.
2.2. Case
We now consider the scenario where the sum of the non-zero circulations of the two vortices is not equal to zero. It is known that in such a system, the vortices will rotate around their center of vorticity, which can be defined by
with a velocity
where
[
14,
19,
20].
Defining the parameter
(note that
), the equations of motion of the two vortices can be written as
Notice that having
corresponds to
, which means that one of the point vortices would have zero circulation, and thus the system would actually be composed of a single point vortex: the vortex would stay in its initial position and give rise to a velocity field that is proportional to the inverse of the distance to the vortex. The case
is equivalent, as it corresponds to having
instead. The equation of motion for a passive particle in this system is thus
Note that the parameter determines the nature of the system. If , both vortices will have circulations with the same sign. However, if , the vortices will have circulations of opposite signs (though not symmetrically).
Consider the change of coordinates
. This corresponds to changing a frame that is rigidly rotating with the vortices around the center of vorticity of the system—located in the origin—at the constant velocity
. Thus, in this rotating frame, the vortices have stationary trajectories
and
. Furthermore, since
, we obtain an autonomous equation of motion for a passive particle in this frame:
While not as trivial as in the previous case, finding analytical expressions for the stagnation points of this system is still possible. These points should satisfy
Using
and writing a system of equations that both the real and imaginary parts of
z must satisfy, we obtain
From the second equation, if
, we obtain
and, using this in the first equation, we can conclude that
Therefore, there are two stagnation points here, defined by the following:
In the case where
y is equal to zero, we obtain a third-order equation for
x:
which has either one or three real roots [
21], depending on if the sign of the discriminant is negative or positive.
Since
,
, we cannot have
—which would mean that (
27) has a repeated root—since that would only happen if
is 0 or 1. We thus conclude that
Thus, if
, there are three stagnation points along the real axis, which can be expressed in trigonometric form as
for
If
, the sole stagnation point along the real axis can be written as
As such, in addition to the previously defined
and
, if
we have the stagnation points
and, if
, we only have
as an additional stagnation point.
In order to obtain more information about the stability of each of the stagnation points and the non-stationary orbits of the system, we need to analyze the equations of motion. Writing them as a system of two real ODEs, we obtain
where we have rescaled time as
for simplicity.
The linearization of the flow
F defined by the previous equations is thus
where, from now on,
and
.
For the points
and
we have
So the eigenvalues
of
in these stagnation points must satisfy
and, thus,
. Therefore, if
, then
and the stagnation points are both centers; if
, then
, which means that the stagnation points are both unstable saddle points.
For the points
,
and
, which are of the form
, we have
where
. So, the eigenvalues
of
in these stagnation points must satisfy
and, thus,
.
Theorem 1. is negative if and positive if .
Proof. Using the the fact that
on the stagnation points and their analytical expressions, it is possible to infer the signs of
and
for every
. We can write
Since
on the stagnation points, we have
Using this on the expression for
, we can write
Case :Since
and
are both positive, from Equation (
38) we see that
is a sum of three positive quantities, and thus it is positive. From Equation (
40), we see that the sign of
is the same as the sign of
. Using Equation (
30), we can write
Thus,
We start by checking the sign of
. If
, from Equation (
31) we can write
And, if
, we have
Thus, for
, we have
, and
is a sum of three positive quantities (Equation (
38)) and thus positive.
We now check the sign of
. If
, from Equation (
30), we have
And, if
,
Hence, for
, we have
, and
is positive (Equation (
40)) and
□
Thus, if
, the three stagnation points in the real axis are unstable saddle points, and, if
, the single stagnation point in the real axis is a center. The information about the stagnation points in both scenarios is summarized in
Table 2.
Once again, it is possible to write a time-independent stream function for this system:
The trajectories of passive particles are thus the level sets of this stream function, or, equivalently, the level sets of
which, for the symmetric case
, can be thought of as Cassini ovals [
22] that have been deformed by the rotational movement of the system: the curves are compressed along the
y-axis and elongated along the
x-axis due to the presence of the exponential term
in
.
Using the stream function and the information on the stagnation points, it is possible to draw the phase diagram of this system for any
. We see once again that there exists an atmosphere around each vortex. The boundary of these regions can be characterized as a part of the curve that is implicitly defined by
in the
case, or
in the
case. In fact, the curves resulting from these equations separate the 2D plane in various regions. Typically, two passive particles inside of the same region will have similar trajectories, while two particles that are located in two different regions will have distinct trajectories. For instance, particles inside the atmosphere of one vortex will rotate around that region’s vortex; particles that are far away from the vortices will have trajectories similar to the trajectory of a particle rotating around a single vortex in the vorticity center of the system, while other passive particles can have more complex trajectories where they orbit both vortices or none of them. As examples, we plot the phase diagrams for
in
Figure 2,
in
Figure 3 and
in
Figure 4. Notice that there exists a significant distinction in the dynamics of the system depending on the value of
and that the case
shows some dynamical similarities to the case
. In fact, the case
is obtained when
. The transitions at
and
are bifurcations where two stagnation points on the
x-axis collide with one another and the system goes from five to three (or vice versa) stagnation points. Notice that in these bifurcations, the stability of the stagnation points also changes (see
Table 2).
Due to the complexity of the expression for the stream function and its dependence on the parameter
, it is not possible to obtain an explicit expression for the area or perimeter of the vortex atmospheres in this case. However, using (
47) it is possible to compute them numerically, and the results are shown in
Figure 5, where we plot these quantities for each of the atmospheres as well as their sum for different values of
.