# Shilnikov bifurcation

Leonid Pavlovich Shilnikov and Andrey Shilnikov (2007), Scholarpedia, 2(8):1891. | doi:10.4249/scholarpedia.1891 | revision #141317 [link to/cite this article] |

* Shilnikov or Šilnikov bifurcation* stands for the homoclinic bifurcation of a saddle-focus equilibrium state (Figure 1) that elicits the onset of

*complex dynamics*in a system.

## Contents |

## Saddle-focus

We consider such a saddle-focus at the origin in a 3D system: \[\tag{1} \begin{array}{rclcl} \dot x &=& -\rho x - \omega y &+& F_1(x,y,z) ,\\ \dot y &=& ~~\omega x - \rho y &+& F_2(x,y,z),\\ \dot z &=& \gamma z &+& F_3(x,y,z), \end{array} \]

here its Lyapunov characteristic exponents are \(\lambda_{1,2}=-\rho \pm i \omega\ ,\) \(\rho>0\ ,\) \(\omega \neq 0\ ,\) and \(\lambda_3=\gamma>0\ ;\) smooth functions \( F_i\ ,\) along with their first
partials, vanish at the origin. The stable manifold \(W^s\) of the saddle-focus \(O\) is 2D then, whereas the unstable one \(W^u\) is 1D. The manifold \(W^u\) is the union of \(O\) and two separatrices that tend to \(O\) as \(t\to-\infty\ .\) A *homoclinic loop* \(\Gamma\) of the saddle-focus is a trajectory bi-asymptotic to \(O\) as \(t \to \pm \infty\ ,\) see Figure 1. In other words, \(\Gamma \in W^s \cap W^u\ .\)

## Saddle value

Next we introduce the *saddle value* or quantity \(\sigma=-\rho+\gamma\) and the *saddle index* \(\nu=\rho/\gamma\ .\) Depending on the sign of \(\sigma\ ,\) or whether \(\nu\) is less or greater than \(1\ ,\) the dynamics of (1) near the saddle-focus is simple when \(\sigma<0\ ,\) or complex if \(\sigma>0\ .\)

The analysis of a homoclinic bifurcation is reduced to that of a Poincarè mapping defined by the trajectories nearby the homoclinic loop \(\Gamma\ .\) For sake of simplicity we assume that the above system (1) is linear near the origin.

## Global Mapping

First, in a small neighborhood of the saddle-focus the cross-section \(\Pi_1\) is introduced as a transverse to the stable manifold \(W^s_{loc}\) breaking \(\Pi_1\) into the top \(\Pi^+_1\) and bottom \(\Pi^-_1\) components. The homoclinic loop hits \(\Pi_1\) at some point \(M^* \in \Gamma \cap \Pi_1\) on \(W^s\ .\)

Next we need to determine the image of \(\Pi_1\) on the second cross-section \(\Pi_2\) transverse to \(W^u_{loc}\ ;\) it will have the shape of a spiral with countably many revolutions accumulating to \(W^u_{loc}\ .\) Thus, the local map \(T_{0}\) from \(\Pi_1 \to \Pi_2\) is defined. Its properties are solely determined by the characteristic exponents of the saddle-focus.

The solution \((x(t),y(t),z(t))\) of (1) that starts from a point \((x_0,0,z_0)\in \Pi_1^+\) close to the origin at \(t = 0\) and ends up at the point \((x_1,y_1,z_z=d \ll 1) \in \Pi_2\) when \(t = \tau\) is written as follows: \[\tag{2} \begin{array}{rcl} \left( \begin{array}{c} x(\tau) \\ y(\tau) \\ \end{array} \right) &=& \exp \left[\tau\left(\begin{array}{cc} -\rho & -\omega\\ \omega &- \rho\end{array}\right)\right] \left(\begin{array}{c} x_0\\ 0 \end{array}\right),\\ \\ z(0) &=& e^{-\gamma\tau} d.\\ \end{array} \]

We can now evaluate the flight time \(\tau = -\frac{1}{\gamma} \ln \frac{z_0}{d}\) of the trajectory connecting the cross-sections. Clearly, that this time increases logarithmically fast the closer the initial point is to the stable manifold \(W^s_{loc}\ .\) Substituting \(\tau\) into the first equation of (2) gives the local map \(T_0: \Pi_1^+ \mapsto \Pi_2\) along the trajectories passing by near \(O\ :\) \[\tag{3} \begin{array}{rcl} x_1 &=& x_0 \left(\frac{z_0}{d}\right)^\nu \cos \frac{\omega}{\gamma} \ln \frac{d}{z_0},\\ \\ y_1 &=& x_0 \left(\frac{z_0}{d}\right)^\nu \sin \frac{\omega}{\gamma} \ln \frac{d}{z_0}. \end{array} \]

Observe that the map \(T_0\) is defined only for \(z_0>0\ ,\) because the forward trajectory of an initial point on \(\Pi_1^{-}\) below the stable manifold \(W^s_{loc}\) leaves the saddle-focus and never comes back, unless there is a re-injection, for example, due to the occurrence of a simultaneousness or symmetric second homoclinic loop, like in the case illustrated in Figure 7.

We can see from (3) that the image \(T_0 \Pi_0^+\) on \(\Pi_1\) looks like a "snake" which spirals onto the point \(M^-=\Gamma\cap \Pi_1\ ,\) Fig. (Figure 2).

The essential part of the global map \(T_1\) from \(\Pi_2\) back onto \(\Pi_1\) is determined by its linear part. This map is defined along with the trajectories of (1) close to the remote segment of \(\Gamma\) away from \(O\ :\) \[\tag{4} \begin{array}{rll} \bar x_0 &=& x_{0}^{+} + a_{11} x + a_{12} y + \cdots,\\ \bar z_0 &=& \ \ \ \ \ \ \ a_{21} x + a_{22} y + \cdots,\\ \end{array} \]

so that combining it with (3) yields the *return* Poincarè mapping \(T=T_1\circ T_0\ :\)
\[\tag{5}
\begin{array}{rcl}
\bar z &=& Ax z^{\nu} \cos\left(\frac{\omega}{\gamma} \ln\frac{1}{z}+\theta\right)
+ \cdots\,,\\ \\
\bar x &=& x_{0}^+d^{-1} +A_1 x z^{\nu}
\cos\left(\frac{\omega}{\gamma} \ln \frac{1}{z}+\theta_1\right)+\cdots,
\end{array}
\]

here \(A>0\ ,\) \(A_1>0\ ,\) \(\theta\) and \(\theta_1\) are some constants.

The image of \(\Pi_0^+\) under \(T_1\circ T_0\) preserves the spiraling shape too. It intersects \(W^s_{\rm loc}\) infinitely many times around \(M^+\ ,\) as shown in Fig. Figure 2.

Let us strip the upper section \(\Pi_1^+\) down into a countable number \(k\) of the segments \(\Sigma_k\ .\) The image \(T\Sigma_k\) of is one half of a single curl of the "snake". It follows from (2) and (5) that the top of the \(k\)-th curl is estimated as \[ z \sim z_{2k}^\nu \sim e^{-2\pi\nu k/\omega}.\]
Thus, when \(\nu>1\ ,\) there is no intersection between \(\Sigma_k\) and
\(T\Sigma_k\) as the image of \(\Sigma_k\) is below its pre-image.
On the contrary, when \(\nu<1\ ,\) the intersection
\(T\Sigma_k\cap \Sigma_k\) is non-empty and consists of two connected
components (Fig. Figure 2). It is geometrically evident that there is a
fixed point of the return mapping \(T\) within each of the components. A contemporary
reader may observe that this leads to a formation of the topological Smale *horseshoe* [1963], which became a
de facto proof of dynamical chaos nowadays. Note that a fixed point of the
Poincarè first return map (5) corresponds to a periodic orbit of
the system (1).

## Shilnikov theorem

**Theorem** [L. Shilnikov, 1965] * If the saddle index \(\nu < 1\ ,\) i.e. the saddle value \(\sigma>0\ ,\) then there are countably many saddle periodic orbits in a neighborhood of the homoclinic loop \(\Gamma\) of the saddle-focus.*

The condition \(\nu<1\) also known as the *Shilnikov condition* is imperative here,
because the structure of the phase space near the homoclinic loop in case \(\nu>1\) is trivial and leads only to the emergence of a single, stable periodic orbit from the homoclinic loop.

The bifurcations in the boundary case \(\nu=1\ ,\) where small perturbations trigger the system between the homoclinic explosion (\(\nu<1\)) and the trivial dynamics (\(\nu>1\)), were first considered in [L.Belyakov, 1973].

The coordinates of the fixed points of the Poincarè map \(T\) (5) are found from the equation \[\tag{6} \begin{array}{rcl} z &=& Ax z^{\nu} \cos\left(\frac{\omega}{\gamma} \ln \frac{1}{z} + \theta\right) + \cdots,\\~\\ x &=& x^+ d^{-1} + A_1 x z^{\nu} \cos\left(\frac{\omega}{\gamma} \ln \frac{1}{z} + \theta_1\right) + \cdots\,.\\ \end{array} \]

Plugging \(x = x^+ d^{-1} + o(z^\nu)\ ,\) into the first equation of (6), gives \[\tag{7} z = A \frac{x^+}{d} z^{\nu}\cos\left(\frac{\omega}{\gamma} \ln \frac{1}{z}+\theta\right) +o(z^\nu)\,. \]

We see from it that when \(\nu<1\) there are infinitely many roots accumulating to zero: \[\tag{8} z^*_k = C e^{-\pi k \gamma/ \omega}(1 + o(1)) \quad \mbox{as} \quad k \to + \infty, \]

where \(C = e^{(\theta - \frac{\pi}{2})\gamma/\omega}\ .\)

Some properties of of system with a saddle-focus can be revealed through
examining the following one-dimensional Poincarè mapping
\[\tag{9}
z_{n+1} = \mu+A z_{n}^{\nu} \cos\left(\frac{\omega}{\gamma} \ln\frac{1}{z_n} + \theta\right) + \cdots\,,
\]

where \(\mu\) is the bifurcation parameter controlling the decomposition of the primary homoclinic loop existing at \(\mu=0\ .\) The graph of this mapping is shown in Fig. Figure 3 in both cases.

The systems with homoclinic loops of a saddle-focus form a bifurcation manifold \(B^1\) of codimension one in the Banach space of dynamical systems with a smooth topology. Hence, small smooth perturbations of the original vector field break the homoclinic loop down in general. Then, in case \(\nu>1\ ,\) the transition over \(B^1\) leads to the emergence of a single stable periodic orbit from the homoclinic loop. This means that the given bifurcation remains (1) in the Morse-Smale class of systems with simple dynamics.

In contrast, the feature of case \(\nu <1\) is complex dynamics. As Fig. Figure 2 shows that starting
with some \(k>\bar k\ ,\) the image \(T\Sigma_k\) crosses the pre-image \(\Sigma_k\) twice like the Smale horseshoe. Therefore, \(T\Sigma_k \cap \Sigma_k=\Sigma_k^1 \cup \Sigma_k^2\) contains a hyperbolic set \(\Omega_k\)
homeomorphic to a Bernoulli subshift on two symbols. However, the nonwandering set
\(\bigcup_{\bar k=k}^{\infty} \Omega_k\) is comprised not only of the saddle periodic orbits that are entirely in a neighborhood of the homoclinic loop. Some other saddle trajectories exist here as well due to the jumps between distinct strips. For example, for a jump from \(\Sigma_i\) to \(\Sigma_j\) one needs the fulfillment of the inequality \(j < \nu\,i\ .\) This makes the saddle index \(\nu\) be nothing else but a topological invariant, called an \(\omega\)-modulus. Its changes lead to transformations in the structure of the nonwandering set near the primary homoclinic loop. So, alone with [dis]appearances of hyperbolic subsets there occur bifurcations of periodic orbits as well as formations of homoclinic tangencies between the stable and unstable manifolds of the saddle periodic orbits, etc. Thus, the occurrence of a homoclinic loop of a saddle focus with \(\nu<1\) is a *basic criteria of complex dynamics* in any system.

## Topological types of saddle-foci

Speaking of nonlinear dynamics applications, we need to distinguish the following three cases of saddle-foci in high-dimensional systems by their leading characteristic exponents, Fig. Figure 4:

- \(\lambda_{1,2}=-\rho \pm i \omega\ ,\) \(\rho>0\ ,\) \(\omega \neq 0,\) and \(\lambda_3=\gamma>0\) such that the first saddle value \(\sigma_1= Re\, \lambda_{1,2}+ Re\, \lambda_{3}=-\rho+\gamma>0\ .\)
- \(\lambda_1=-\gamma<0\ ,\) \(\gamma>0\) and \(\lambda_{2,3}=\rho \pm i \omega\ ,\) \(\rho>0\ ,\) \(\omega \neq 0\) such that \(\sigma_1=-\gamma+\rho<0\ .\)
- \(\lambda_{1,2}=-\gamma \pm i \omega_1\ ,\) \(\gamma>0\ ,\) \(\omega_1 \neq 1\) and \(\lambda_{3,4}=\rho \pm i \omega_2\ ,\) \(\rho>0\ ,\) \(\omega_2 \neq 0\) such that \(\sigma_1= Re\, \lambda_{1,2}+Re \,\lambda_{3,4}=\rho-\gamma \neq 0\ .\)

As one can notice from Fig. Figure 3 that variations of the control parameter \(\mu\) give rise to period-doubling and saddle-node bifurcations of periodic orbits in the vicinity of the primary homoclinic loop of the saddle-focus.
One must then wonder: under what conditions does the system itself and close ones have
*no* stable periodic orbits near the homoclinic bifurcation? If there is at least one characteristic exponent in the right half-plane, then
the answer is positive by default. Otherwise, in case of where all other characteristic exponents of the saddle are further to left from the imaginary axes, we need to introduce the *second saddle value,* respectively in all three cases, as follows:

- \(\sigma_2=2 Re\, \lambda_{1,2}+\gamma=-2\rho+\gamma\ .\)
- \(\sigma_2=\lambda_{1}+2 Re\, \lambda_{1,2}=-\gamma+2\rho\ .\)
- \(\sigma_2= 2 Re\, \lambda_{1,2}+2 Re \,\lambda_{3,4}=2\rho-2\gamma \neq 0\ .\)

Thus, if \(\sigma_2 >0\)e, the system has no stable orbits near on \(B^1\) [Ovsyannikov and L. Shilnikov, 1987 and 1992, Glendenning and Sparrow, 1984]. On the contrary, when \(\sigma_2<0\ ,\) then the systems with stable periodic orbits are dense everywhere on \(B^1\ .\)

## Routes to Shilnikov/spiral chaos

Next let us consider a bifurcation scenario leading to the formation of a *spiral attractor.*
This scenario is de-facto proven to be very typical for a plethora of models, including the Lorenz-84 model
[A.Shilnikov et al, 1994] that will illustrate it here. Initially, let a system \(X_\mu\) have a stable equilibrium state \(O\) for \(\mu<\mu_1\ .\) Next \(O\) undergoes a supercritical Andronov-Hopf bifurcation at \(\mu=\mu_1\) so that a stable periodic orbit
\(L_\mu\) bifurcates from \(O\ .\) This orbit becomes the boundary of the unstable manifold \(W^u_{loc}\) of the new saddle-focus for \(\mu>\mu_1\) that spirals onto \(L_\mu\ ,\) Fig. Figure 6(A). Suppose that as \(\mu\) increases further, the multipliers of \(L_{\mu}\) cross a unit circle outward. Then the periodic orbit becomes unstable being enveloped by a new born stable 2D torus for \(\mu>\mu_2\ .\) The unstable manifold of the saddle-focus spirals
onto the torus now thereby increasing the size of the *a whirlpool* (Fig. Figure 6(B)). Next let \(W^u\) touch \(W^s\ :\) this forms the aforementioned homoclinic loop \(\Gamma\) of the saddle-focus (of the
second type (Fig. Figure 6(C))). After that the attracting whirlpool will contain a set of
complex structure - the so-called spiral strange attractor. If the second saddle value \(\sigma_2<0\ ,\) this spiral
attractor is indeed a quasi-chaotic attractor [L. Shilnikov, 1981] as itself or one in a close system may have stable periodic orbits in it. However, if \(\sigma_2>0\) than the behavior of trajectories in the whirlpool is hyperchaotic. The onset of the spiral attractor can be preceded by the breakdown of the 2D torus, or by a period doubling cascade.

The second scenario involving the period doubling cascade is held, for example, in the Rössler system [Rössler, 1976] \[ \begin{array}{rcl} \dot x &=& -(y+z),\\ \dot y &=& x+ay,\\ \dot z &=& b +xz - cz.\\ \end{array} \] The first one, involving the breakdown of a 2D torus, was well examined in the Anischenko-Astakhov electronic generator [Anischenko and Astakhov, 1983] \[ \begin{array}{rcl} \dot x &=& ax+y-xz,\\ \dot y &=& -x+y,\\ \dot z &=& -bx+xH(x),\\ \end{array} \] where \(H(x)\) is the Heaviside function.

The wavetrain generated by the spiral attractor has the distinct shape, Fig. (Figure 7). It has the quiescence periods, when the phase point comes close by the saddle-focus, followed by the bursts of oscillatory activity. This signature of the spiral attractor allows for a clear identification of the Shilnikov bifurcation not only in numerical but experimental studies as well, including nonlinear laser optics, various electronic circuits, economics, biology, hydrodynamics flows and many other various fields, just Google this bifurcation.

## Wild spiral attractor

Finally, we describe a construction [L.Shilnikov and D.Turaev, 1998] allowing for
the occurrence of a *wild pseudo-hyperbolic* strange attractor in the 4D+ phase space. The construction
is centered around the saddle-focus with two symmetric or simultaneous homoclinic loops \(\Gamma_1\) and
\(\Gamma_2\) Figure 8. Let the saddle-focus have the leading characteristic exponents \(\lambda_{1,2}=-\rho \pm i \omega\ ,\)
\(\lambda_{3}= \gamma>0\ ,\) all other ones are on the left from \(\lambda_{1,2}\) in the complex plane. We require that:

(A) both saddle values are positive\[\sigma_1=-\rho+\gamma>0\] and \(\sigma_2=-2\rho+\gamma>0\ ;\)

(B) there is an absorbing domain \(D\) that contains \(\Gamma_1\cup O \cup \Gamma_2\) Figure 8;

(C) the condition of pseudo-hyperbolicity is held in \(D\ .\)

The essence of the last property is that the Poincarè mapping shall possess an invariant foliation. Having factorized over the leaves of the foliation we can create a factor-mapping that expands phase volumes. This means that no stable orbit of the system itself or of a close one can exist in the domain \(D\ .\) Such an attractor is also wild in sense of Newhouse [Newhouse, 1974] because the periodic orbits in it have various homoclinic tangencies. The fractal dimension of this chain-transitive attractor exceeds three.

## References

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- Shilnikov L. P. [1967] The existence of a denumerable set of periodic motions in four-dimensional space in an extended neighborhood of a saddle-focus,
*Soviet Math. Dokl.***8**(1), 54–58.

- Shilnikov L. P. [1970] A contribution to the problem of the structure of an extended neighborhood of a rough equilibrium state of saddle-focus type,
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- Smale S. [1963] Diffeomorphisms with many periodic points, in
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- Shilnikov L.P. [1981] The bifurcation theory and quasi-hyperbolic attractors.
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- Belyakov L. A. [1974] Bifurcation of systems with homoclinic curve of a saddle-focus with saddle quantity zero,
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- Ovsyannikov I. M. and Shilnikov, L. P. [1987] On systems with a saddle-focus homoclinic curve,
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- Ovsyannikov I. M. and Shilnikov, L. P. [1992] Systems with a homoclinic curve of multi-dimensional saddle-focus type, and spiral chaos,
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- Shilnikov L.P., Shilnikov A., Turaev D. and Chua, L. [1998]
*Methods of Qualitative Theory in Nonlinear Dynamics. Part I.*World Scientific.

- Shilnikov L.P., Shilnikov A., Turaev D. and Chua, L. [2001]
*Methods of Qualitative Theory in Nonlinear Dynamics. Part II.*World Scientific.

- Shilnikov A. L., Nicolis, G. and Nicolis, C. [1995] Bifurcation and predictability analysis of a low-order atmospheric circulation model,
*Int. J. Bif. Chaos***5**(6), 1701–1711.

- Glendenning P. and Sparrow, C. [1984] Local and global behavior near homoclinic orbits,
*J. Stat. Phys.***35**, 645–696.

- Rössler O. [1976] Different types of chaos in two simple differential equations,
*Zeitschrift fur Naturforsch*A**31**, 1664–1670.

- Anischenko V.S. and Astakhov V.V. [1983] Bifurcations in an auto-stochastic generator with regular external excitation,
*Sov. Phys.-Thch. Phys.***28**(10), 1326–1329

- Turaev D. V. and Shilnikov, L. P. [1998] An example of a wild strange attractor,
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**Internal references**

- Yuri A. Kuznetsov (2006) Andronov-Hopf bifurcation. Scholarpedia, 1(10):1858.
- John W. Milnor (2006) Attractor. Scholarpedia, 1(11):1815.
- John Guckenheimer (2007) Bifurcation. Scholarpedia, 2(6):1517.
- Eugene M. Izhikevich (2006) Bursting. Scholarpedia, 1(3):1300.
- James Meiss (2007) Dynamical systems. Scholarpedia, 2(2):1629.
- Eugene M. Izhikevich (2007) Equilibrium. Scholarpedia, 2(10):2014.
- Jeff Moehlis, Kresimir Josic, Eric T. Shea-Brown (2006) Periodic orbit. Scholarpedia, 1(7):1358.
- Yuri A. Kuznetsov (2006) Saddle-node bifurcation. Scholarpedia, 1(10):1859.
- Steve Smale and Michael Shub (2007) Smale horseshoe. Scholarpedia, 2(11):3012.
- Philip Holmes and Eric T. Shea-Brown (2006) Stability. Scholarpedia, 1(10):1838.

## External Links

## See Also

Bifurcations, Chaos, Dynamical Systems, Equilibrium, Homoclinic Bifurcations, Homoclinic Orbits, Iterative Mappings, Smale Horseshoe