Abstract
We consider a pendulum with vertically oscillating support and time-dependent damping coefficient which varies until reaching a finite final value. Although it is the final value which determines which attractors eventually exist, the sizes of the corresponding basins of attraction are found to depend strongly on the full evolution of the dissipation. In particular, we investigate numerically how dissipation monotonically varying in time changes the sizes of the basins of attraction. It turns out that, in order to predict the behaviour of the system, it is essential to understand how the sizes of the basins of attraction for constant dissipation depend on the damping coefficient. For values of the parameters where the systems can be considered as a perturbation of the simple pendulum, which is integrable, we characterise analytically the conditions under which the attractors exist and study numerically how the sizes of their basins of attraction depend on the damping coefficient. Away from the perturbation regime, a numerical study of the attractors and the corresponding basins of attraction for different constant values of the damping coefficient produces a much more involved scenario: changing the magnitude of the dissipation causes some attractors to disappear either leaving no trace or producing new attractors by bifurcation, such as period doubling and saddle-node bifurcation. Finally, we pass to the case of an initially non-constant damping coefficient, both increasing and decreasing to some finite final value, and we numerically observe the resulting effects on the sizes of the basins of attraction: when the damping coefficient varies slowly from a finite initial value to a different final value, without changing the set of attractors, the slower the variation the closer the sizes of the basins of attraction are to those they have for constant damping coefficient fixed at the initial value. Furthermore, if during the variation of the damping coefficient attractors appear or disappear, remarkable additional phenomena may occur. For instance, it can happen that, in the limit of very large variation time, a fixed point asymptotically attracts the entire phase space, up to a zero-measure set, even though no attractor with such a property exists for any value of the damping coefficient between the extreme values.
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Acknowledgments
The Adams–Bashforth–Moulton method used was MATLAB’s ODE113. We thank Jonathan Deane for helpful conversations on analytic continuation and support with coding in C. This research was completed as part of an EPSRC-funded PhD.
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Appendices
Appendix 1: Global attraction to the two fixed points
To compute the conditions for attraction to the origin, we use the method outlined in [4]; see also [2]. We define \(f(\tau )\) as in (1.3) and require \(f(\tau ) > 0\): the consequences of this restriction are that the method can only be applied to the downward pointing pendulum when \(\alpha > \beta \). Then, we apply the Liouville transformation
and write our Eq. (1.3) in terms of the new time \(\tilde{\tau }\) as
where the subscript \(\tilde{\tau }\) represents derivative with respect to the new time \(\tilde{\tau }\) and \(\tilde{f}(\tilde{\tau }) := f(\tau )\). This can be represented as the two-dimensional system on \({\mathbb {T}}\times {\mathbb {R}}\), by setting \(x(\tilde{\tau })=\theta (\tilde{\tau })\) and writing
for which we have the energy \(E(x,y) = 1 -\cos {x} + y^2/2\). By setting \(H(\tilde{\tau })=E(x(\tilde{\tau }),y(\tilde{\tau }))\), one finds
thus \(H_{\tilde{\tau }} \le 0\), i.e. \(x,\,y\) are bounded given that \(\gamma \) satisfies
Moreover, we have that for all \(\tilde{\tau } > 0\)
so that, as \(\tilde{\tau } \rightarrow \infty \), using the properties above we can arrive at
Hence, \(y \rightarrow 0\) as time tends to infinity. There are two regions of phase space to consider. Any level curve of \(H\) strictly inside the separatrix of the unperturbed pendulum is the boundary of a positively invariant set \(D\) containing the origin: since \(S = \{(x(\tilde{\tau }),y(\tilde{\tau })) : H_{\tilde{\tau }} = 0\} \cap D\) consists purely of the origin, we can apply the local Barbashin–Krasovsky–La Salle theorem [24] to conclude that every trajectory that begins strictly inside the separatrix will converge to the origin as \(\tilde{\tau }\rightarrow +\infty \).
Outside of the separatrix, we may use Eq. (7.4), which shows the energy to be strictly decreasing while \(y \ne 0\), provided \(\gamma \) is chosen large enough, coupled with \(y \rightarrow 0\) as time tends to infinity. The result is that all trajectories tend to the invariant points on the \(x\)-axis as time tends to infinity. One of two cases must occur: either the trajectory moves inside the separatrix or it does not. In the first instance, we have already shown that the limiting solution is the origin. In the latter, there is only one possibility. As all points on the \(x\)-axis are contained within the separatrix other than the unstable fixed point, the trajectory must move onto such a fixed point and hence belongs to its stable manifold, which is a zero-measure set. Therefore, we conclude that a full-measure set of initial conditions are attracted by the origin. Reverting back to the original system with time \(\tau \), we conclude that for that system too the basin of attraction of the origin has full measure, provided \(\beta <\alpha \) and \(\gamma \) satisfies (7.5).
Appendix 2: Action-angle variables
In this section, we detail the calculation of the action-angle variables for the simple pendulum in time \(\tau \). More details on calculating action-angle variables can be found in [9, 14, 32]. The simple pendulum has equation of motion given by
where the dashes represent derivative with respect to the scaled time \(\tau \). The Hamiltonian for the simple pendulum in this notation is
or, in terms of the usual notation for Hamiltonian dynamics,
where \(q = \theta \) and \(p= q'=\theta '\). Rearranging this for \(p\) we obtain \(p=\pm p(E,q)\), with
where \(E_{0} = E/\alpha \). It is clear that there are two types of dynamics, oscillatory dynamics when \(E_{0} < 1\) and rotational dynamics when \(E_{0} > 1\), separated at a separatrix when \(E_{0} = 1\), for which no action-angle variables exist.
1.1 Librations
We first consider the case \(E_{0} < 1\). The action variable is
where \(k_1^2 = (E_{0}+1)/2\) and \(q_{1}=\arccos (-E_{0})\). The functions \(\mathbf{K}(k)\) and \(\mathbf{E}(k)\) are the complete elliptic integrals of the first and second kinds, respectively.
The angle variable \(\varphi \) can be found as follows
so that
Hence, we have
Take \(s = \sin {(q/2)}\); then, using Eq. (8.2), it is easy to show that
Integrating using the Jacobi elliptic functions
the expression can then be rearranged to achieve the following result:
which coincide with Eqs. (2.4). Using (11.3) in Appendix 3, one obtains from (8.5)
a relation which has been used to derive (2.12).
1.2 Rotations
In the case of rotational dynamics, we have
where this time we let \(k_2^2 = 2/(E_{0} + 1) = 1/k_1^2\). The angle variable \(\varphi \) can similarly be found using (8.6), where \(\mathrm{d}I/\mathrm{d}E\) can be similarly calculated as
which hence gives
Using (8.9) and the definition of \(k_2\), for the rotating solutions we find that
and similarly, by simple rearrangement, we find that
which again yields Eqs. (2.6). Using (11.3) in Appendix 3, one obtains from (8.13)
which has been used to derive (2.23).
Appendix 3: Jacobian determinant
Here, we compute the entries of the Jacobian matrix \(J\) of the transformation to action-angle variables, which will be used in the next Appendix. As a by-product, we check that \(J\) determinant equal to 1, that is
For further details on the proof of (9.1), we refer the reader to [9], where the calculations are given in great detail. The derivative with respect to \(\varphi \) is straightforward in both the libration and rotation case, however, the dependence of \(p\) and \(q\) on the action \(I\) is less obvious. That said, the dependence of \(p\) and \(q\) on \(k_1\) in the oscillating case and \(k_2\) in the rotating case is clear and we know the relationship between \(I\) and \(k\) in both cases; hence, the derivative of the Jacobi elliptic functions can be calculated using that
where \(u\) is the first argument of the functions, i.e. \({{\mathrm{sn}}}(u,k)\), etc. Then, for the oscillations, we have
where \((\cdot ) = \left( \frac{2\mathbf{K}(k_1)\varphi }{\pi },k_1\right) \) and \(k_1' = \sqrt{1 - k_1^2}\). From the above, it is easy to check that Eq. (9.1) is satisfied. Similarly, for the rotations, we have
where \((\cdot ) = \left( \frac{\mathbf{K}(k_2)}{\pi }\varphi ,k_2\right) \) and \(k_2' = \sqrt{1 - k_2^2}\). It is once again easily checked from the above that (9.1) is satisfied.
Appendix 4: Equations of motion for the perturbed system
By (9.1), one has
We rewrite the Eq. (1.3) in the action-angle coordinates introduced in Appendix 2 as follows.
1.1 Librations
In this section, we want to write (1.3) in terms of the action-angle introduced in Appendix 2. By taking into account the forcing term \(-\beta \cos \tau \cos \theta \) in (1.3), one finds
where we have used the properties of the Jacobi elliptic functions in Appendix 5. As in Appendix 3, we are shortening \((\cdot ) = \left( \frac{2\mathbf{K}(k_1)\varphi }{\pi },k_1\right) \).
We then wish to add the dissipative term \(\gamma \theta '\). This results in the following equations:
Using the property that, see [26], \(\mathbf{E}(u,k) \!=\! \mathbf{E}(k)u/\mathbf{K}(k)\) \( + \mathbf{Z}(u,k)\), we arrive at equations (2.9). The function \(\mathbf{Z}(u,k)\) is the Jacobi zeta function, which is periodic with period \(2\mathbf{K}(k)\) in \(u\).
1.2 Rotations
The presence of the forcing term leads to the Equations.
Again, if we wish to add a dissipative term, we arrive at the equations
Again, using that \(\mathbf{E}(u,k) = \mathbf{E}(k)u/\mathbf{K}(k) + \mathbf{Z}(u,k)\), we arrive at the equations (2.22).
Appendix 5: Useful properties of the elliptic functions
The complete integrals of the first and second kind are, respectively,
whereas the incomplete elliptic integral of the second kind is
One has
The following properties of the Jacobi elliptic functions have been used in the previous sections. The derivatives with respect to the first arguments are
while the derivatives with respect to the elliptic modulus are
where \(k'^2=1-k^2\).
Finding the value of \(\Delta \) for rotations in Sect. 2 requires use of
In the case of librations, we also require the relation \(k^2 {{\mathrm{cn}}}^2(\cdot ) + (1 - k^2) = {{\mathrm{dn}}}^2(\cdot )\).
The integral for in Eq. (2.20) is found by
where .
The Jacobi elliptic functions can be expanded in a Fourier series as
where \({\mathfrak {q}}\) is the nome, defined as
with \(k'=\sqrt{1-k^2}\).
In the calculation of \(\langle R^{(n)} \rangle \) for \(n \ge 2\), when the pendulum is in libration, we require the evaluation of the integrals
and
where . The integral multiplying \(\sin (\tau _0)\) vanishes due to parity, and hence,
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Wright, J.A., Bartuccelli, M. & Gentile, G. The effects of time-dependent dissipation on the basins of attraction for the pendulum with oscillating support. Nonlinear Dyn 77, 1377–1409 (2014). https://doi.org/10.1007/s11071-014-1386-1
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DOI: https://doi.org/10.1007/s11071-014-1386-1
Keywords
- Action-angle variables
- Attractors
- Basins of attraction
- Dissipative systems
- Non-constant dissipation
- Periodic motions
- Simple pendulum