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Bifurcations and chaos in a three-dimensional generalized Hénon map
Advances in Difference Equations volume 2018, Article number: 185 (2018)
Abstract
This article presents the bifurcation and chaos phenomenon of the three-dimensional generalized Hénon map. We establish the existence and stability conditions for the fixed points of the system. According to the center manifold theorem and bifurcation theory, we get the existence conditions for fold bifurcation, flip bifurcation, and Naimark–Sacker bifurcation of the system. Finally, the bifurcation diagrams, Lyapunov exponents, phase portraits are carried out to illustrate these theoretical results. Furthermore, as parameter varies, new interesting dynamics behaviors, including from stable fixed point to attracting invariant cycle and to chaos, from periodic-10 to chaos, etc., are observed from the numerical simulations. In particular, we find the double-cycle phenomenon from bifurcation diagrams and phase portraits.
1 Introduction
Classic Hénon map is a two-dimensional discrete time system. It was first defined in [1] via constant Jacobian determinant. Since the late 1970s, the Hénon map has attracted considerable attention of investigators and has been widely studied. The Hénon map has a wide range of applications in many areas, there are more and more researchers [2–5] to study the Hénon map. Besides, many sophisticated algorithms have been developed on the basis of the Hénon map recently. In paper [6], the Hénon map is used in image encryption, and its encryption speed is faster than other image encryption schemes. Alligood and Sauer [7] explored the specific properties of periodic orbits of the Hénon map. Compound windows of the Hénon map were introduced by Lorenz [8]. The authors in paper [9] mainly studied the application of the fractional order derived in the generalized hyperchaotic Hénon map. In addition, researchers also have proposed different types of the generalized Hénon [10, 11] map, which exhibit more complex dynamics.
In 1900, Baier and Klein [10] defined the n-dimensional generalized Hénon map. And then Richter [12] collected analytical and numerical results for maps of lower and higher dimensions of the n-dimensional generalized Hénon map in 2002. Since the three-dimensional Hénon map [13–15] is of great importance in the study of high-dimensional Hénon map, more and more investigators consider the three-dimensional Hénon map. For example, the authors in [16] proposed a new interesting three-dimensional generalized Hénon map. Different types of Lorenz-type attractors in the three-dimensional Hénon map are presented in [17]. Gonchenko [18] investigated the pseudo-hyperbolic attractors in the three-dimensional generalized Hénon map.
However, the study of bifurcations and chaos for the three-dimensional generalized Hénon map is still rare. According to [12], we consider the m-dimensional generalized Hénon map with the following form:
In particular, we consider the case of \(m=3\). Let \(x_{1}=x\), \(x_{2}=y\), \(x_{3}=z\), map (1) can be rewritten as
This paper aims at exploring the dynamical behaviors of system (2).
We use the center manifold theorem and bifurcation theory [19] to explore the fold bifurcation, flip bifurcation, and Naimark–Sacker bifurcation of system (2). Then we illustrate our theoretical results by numerical simulations. From the numerical simulation results, we observe many new interesting dynamical behaviors, such as bifurcation, periodic orbit, invariant cycle, chaos, and periodic window. In particular, bifurcation diagrams and phase portraits show coexistence of unstable invariant cycle and stable invariant cycle in system (2) for \(b=-0.85\).
The main content of the paper is as follows. In Sect. 2, we investigate the existence and stability of the fixed points of system (2). In Sect. 3, the analytical conditions of codimension one bifurcations including fold bifurcation, flip bifurcation, and Naimark–Sacker bifurcation are derived on the basis of center manifold theorem and bifurcation theory. In Sect. 4, we give the numerical simulations by using MATLAB to illustrate our theoretical results. From those numerical results we find that system (2) has new interesting complex dynamical behaviors. Finally, we give a brief conclusion of the paper in Sect. 5.
2 Existence and stability of fixed points
Direct computations from system (2) show that the fixed point \(Z^{*}(x^{*},y^{*},z^{*})\) satisfies
We can get the relationship between three elements of the fixed point \(Z^{*}\), that is, \(x^{*}=y^{*}=z^{*}\), besides \(x^{*}\) satisfies \(x^{*2}-(b-1)x^{*}-a=0\).
Then we obtain the proposition for the existence of the fixed points.
Proposition 1
-
(1)
If \(a>a_{0}\), system (2) has two fixed points \(Z^{*}_{1}(x ^{*}_{1},y^{*}_{1},z^{*}_{1})\) and \(Z^{*}_{2}(x^{*}_{2},y^{*}_{2},z ^{*}_{2})\);
-
(2)
If \(a=a_{0}\), system (2) has a unique fixed point \(Z^{*}_{0}(x_{0}^{*},y_{0}^{*},z_{0}^{*})\);
-
(3)
If \(a< a_{0}\), system (2) has no fixed point,
where \(a_{0}=-\frac{(b-1)^{2}}{4}\), \(x_{i}^{*}=y_{i}^{*}=z_{i}^{*}\), \(i=0, 1, 2\), \(x_{0}^{*}=\frac{b-1}{2}\), \(x^{*}_{1}= \frac{1}{2}[(b-1)- \sqrt{4a+(b-1)^{2}}]\), \(x^{*}_{2}= \frac{1}{2}[(b-1)+ \sqrt{4a+(b-1)^{2}}]\).
Next, we give the condition for the stability of the fixed points \(Z^{*}_{i}\) (\(i=1,2\)) of system (2). The Jacobian matrix J of system (2) associated with the fixed point \(Z^{*}_{i}\) is
The characteristic equation of J is
Let \(\lambda =\frac{\mu +1}{\mu -1}\), (4) becomes
where \(a_{1}=\frac{3+3b-2y^{*}_{i}}{1-b+2y^{*}_{i}}\), \(a_{2}=\frac{3-3b-2y ^{*}_{i}}{1-b+2y^{*}_{i}}\), \(a_{3}=\frac{1+b+2y^{*}_{i}}{1-b+2y^{*} _{i}}\).
Obviously, \(\vert \lambda \vert <1\) is equivalent to Re\([\mu ]<0\). So, the fixed point \(Z^{*}_{i}\) of system (2) is stable when Re\([\mu ]<0\).
By Routh–Hurwitz theorem, we know that Re\([\mu ]<0\) if and only if the following conditions hold: \(a_{i}>0\), \(i=1,2,3\), \(D_{1}=a_{1}>0\), \(D_{2}=a_{1}a_{2}-a_{3}>0\), and \(D_{3}=a_{3}D_{2}>0\). That is,
By analyzing the above conditions, we find that the fixed point \(Z^{*}_{1}\) is always unstable, and the fixed point \(Z^{*}_{2}\) is stable if
We summarize the above results about the stability of the fixed points as follows.
Proposition 2
-
(1)
The fixed point \(Z^{*}_{1}\) of (2) is always unstable;
-
(2)
The fixed point \(Z^{*}_{2}\) of (2) is stable if one of the following conditions is satisfied:
-
(i)
\(b\in [0,1)\) and \(a\in (a_{0},a _{h})\),
-
(ii)
\(b\in (-1,0)\) and \(a\in (a^{*},a_{h})\),
-
(i)
where \(a_{0}=-\frac{(b-1)^{2}}{4}\), \(a^{*}=b^{2}-\frac{(b-1)^{2}}{4}\), \(a_{h}=\frac{(b-1)^{2}(b+1)(b+3)}{4}\).
The stable region of \(Z^{*}_{2}\) of (2) in the parametric space is shown in Fig. 1. In the next section, we will prove that the boundary of the stable region of \(Z^{*}_{2}\) consists of codimension one bifurcations.
3 Codimension one bifurcations
The sufficient conditions for the existence of fold bifurcation, flip bifurcation, and Naimark–Sacker bifurcation are deduced in this section. In order to get the conditions for the existence of the bifurcations, the parameter a is taken as the bifurcation parameter. Since the fixed point \(Z^{*}_{1}\) is always unstable, we just analyze the bifurcations of the fixed point \(Z^{*}_{2}\) in this section.
The characteristic equation of J associated with \(Z^{*}_{2}\) is
3.1 Fold bifurcation
If \(a=a_{0}\) and \(b\in (0,1)\), the system of (2) has a unique fixed point \(Z^{*}_{2}=Z_{0}^{*}\). The roots of (6) are \(\lambda_{1}(a_{0})=1\), \(\lambda_{2,3}(a_{0})=\frac{-1\pm \sqrt{1-4b}}{2}\). Particularly, if \(b\in (0,\frac{1}{4})\), \(\lambda _{2,3}(a_{0})=\frac{-1\pm \sqrt{1-4b}}{2}\) are a pair of real roots; if \(b=\frac{1}{4}\), \(\lambda_{2,3}(a_{0})=-\frac{1}{2}\); if \(b\in (\frac{1}{4},1)\), \(\lambda_{2,3}(a_{0})=\frac{-1\pm i \sqrt{4b-1}}{2}\) are a pair of conjugate complex roots. So we analyze the fold bifurcation in three cases, i.e., Case (I) \(b\in (0, \frac{1}{4})\), Case (II) \(b=\frac{1}{4}\), and Case (III) \(b\in ( \frac{1}{4},1)\). For the fold bifurcation, it requires \(\vert \lambda_{2,3}(a_{0}) \vert \neq 1\). In fact, it is not hard to prove \(\vert \lambda_{2,3}(a_{0}) \vert <1\) as \(b\in (0,1)\).
Let \(\bar{x}=x-x^{*}_{0}\), \(\bar{y}=y-y^{*}_{0}\), \(\bar{z}=z-z^{*} _{0}\), and \(\bar{a}=a-a_{0}\), system (2) becomes
For Case (I), let \((\bar{x},\bar{y}, \bar{z},\bar{a})'=T(u,v,w,\mu )'\), then map (7) becomes
where
and
The center manifold theory [19] tells us that, in order to study the stability and the fold bifurcation of \((\bar{x}, \bar{y},\bar{z})=(0,0,0)\) near \(\bar{a}=0\), we only need to consider a one-parameter family of maps which is the reduced form of (7) on a center manifold \(W^{c}(0)\), where \(W^{c}(0)=\{(u,v,w,\mu )\mid w=h _{1}(u,v),\mu =h_{2}(u,v),h_{i}(0,0)=0,Dh_{i}(0,0)=0,i=1,2\}\). So, we assume that \(h_{i}(u,v)=\alpha_{i}u^{2}+\beta_{i}uv+\gamma_{i}v^{2}+O(3)\), \(i=1, \mathcal{}2\), where \(O(3)\) is the sum of all terms whose degree is greater than 2.
From the existence theorem for center manifolds, the restrictions of map (8) can be obtained as follows:
where \(F(u,v)=u+v+2\sqrt{1-4b}f(u,v,h_{1}(u,v),h_{2}(u,v))=u+v- \frac{(u+v)^{2}}{2+b}+O(3)\). Since the fold bifurcation is independent of the term \(O(3)\) of \(F(u,v)\), there is no need to compute \(h_{i}(u,v)\), \(i=1,2\). Since \(F(0,0)=0\), \(F_{u}(0,0)=1\), \(F_{v}(0,0)=1\), \(F_{uu}(0,0)=-\frac{2}{b+2}<0\). So, the fixed point \((u,v)=(0,0)\) is a fold bifurcation point for map (9).
As for Cases (II) and (III), we are still able to achieve the same results using only similar analysis and transformation, \((\bar{x}, \bar{y}, \bar{z},\bar{a})'=T_{i}(u,v,w,\mu )'\), \(i=1, 2\), respectively, where
Summarizing the above serious analysis, we can get the following theorem.
Theorem 3
Map (2) undergoes a fold bifurcation at \(Z^{*}_{0}\) if the following conditions are satisfied: \(b\in (0,1)\) and \(a=a_{0}\). Moreover, the two fixed points, \(Z_{1}^{*}\) and \(Z_{2}^{*}\), bifurcate from \(Z^{*}_{0}\) for \(a>a_{0}\), coalesce as the fixed point \(Z^{*}_{0}\) at \(a=a_{0}\), and disappear for \(a< a_{0}\).
3.2 Flip bifurcation
The conditions for the flip bifurcation occurring at the fixed point \(Z^{*}_{2}\) of map (2) are elaborated in this subsection. If \(a=a^{*}\) and \(b\in (-1,0)\), \(x^{*}_{2}=y^{*}_{2}=z^{*}_{2}=- \frac{b+1}{2}\). The roots of (6) are \(\lambda_{1}(a^{*})=-1\), \(\lambda_{2,3}(a^{*})=\frac{1\pm \sqrt{1+4b}}{2}\). Particularly, if \(b\in (-\frac{1}{4},0)\), \(\lambda_{2,3}(a^{*})=\frac{1\pm \sqrt{1+4b}}{2}\); if \(b=-\frac{1}{4}\), \(\lambda_{2,3}(a^{*})= \frac{1}{2}\); if \(b\in (-1,-\frac{1}{4})\), \(\lambda_{2,3}(a^{*})=\frac{1 \pm i \sqrt{-(1+4b)}}{2}\). So we analyze the flip bifurcation in three cases: \(b\in (-\frac{1}{4},0)\), \(b=-\frac{1}{4}\), and \(b\in (-1,- \frac{1}{4})\). For the flip bifurcation, it requires that \(\vert \lambda_{2,3}(a^{*}) \vert \neq 1\). In fact, it is easy to prove that \(\vert \lambda_{2,3}(a^{*}) \vert <1\) as \(b\in (-1,0)\).
Let \(\bar{x}=x-x^{*}_{2}\), \(\bar{y}=y-y^{*}_{2}\), \(\bar{z}=z-z^{*} _{2}\), \(\bar{a}=a-a^{*}\), then system (2) becomes
For the case of \(b\in (-\frac{1}{4},0)\), let \((\bar{x},\bar{y}, \bar{z},\bar{a})'=\hat{T}(u,v,w,\mu )'\), then map (10) becomes
where
and
From the center manifold theory [19], we can get the conditions of the stability and the flip bifurcation of \((\bar{x}, \bar{y},\bar{z})=(0,0,0)\) near \(\bar{a}=0\) by investigating a one-parameter family of maps which is the reduced form of (10) on a center manifold \(W^{c}(0)\), where \(W^{c}(0)=\{(u,v,w,\mu ) \mid w=\hat{h}_{1}(u,v), \mu =\hat{h}_{2}(u,v), \hat{h}_{i}(0,0)=0, D \hat{h}_{i}(0,0)=0, i=1,2\}\). So, we assume that \(\hat{h}_{i}(u,v)= \hat{\alpha }_{i}u^{2}+\hat{\beta }_{i}uv+\hat{\gamma }_{i}v^{2}+O(3)\), \(i=1, 2\).
Because of invariance of the center manifold [19], we have that
We can obtain the values of \(\hat{\alpha }_{i}, \hat{\beta }_{i}, \hat{\gamma }_{i}, i=1,2\), by comparing the coefficients of \(u^{2}\), uv, \(v^{2}\) in (12). From the existence theorem for center manifolds, the restrictions of map can be obtained as follows:
where \(\hat{F}(u,v)=-u+2\sqrt{1+4b}\hat{f}(u,v,\hat{h}_{1}(u,v), \hat{h}_{2}(u,v))\). It is easy to verify that \(\hat{F}(0,0)=0\), \(\hat{F}_{u}(0,0)=-1\), \(\hat{F}_{v}(0,0)=0\), \(\hat{F}_{uu}(0,0)=- \frac{2}{2-b}\), \(\hat{F}_{uv}(0,0)=-\frac{1}{b(2-b)}\), \(\hat{F}_{vv}(0,0)=-\frac{1}{2b ^{2}(2-b)}\), \(\hat{F}_{uuu}(0,0)=-\frac{12(1-b)}{b(2-b)^{2}}\), and
So, map (13) undergoes a flip bifurcation at \((u,v)=(0,0)\), and the periodic-2 points that bifurcate from \((u,v)=(0,0)\) for \(v>0\) are unstable.
As for the case of \(b=-\frac{1}{4}\) and \(b\in (-1,-\frac{1}{4})\), we have the same results by making use of the similar analysis.
Summarizing the above discussion, we have the following results.
Theorem 4
If \(b\in (-1,0)\) and \(a=a^{*}\), then map (2) undergoes a flip bifurcation at \(Z^{*}_{2}\). Moreover, the period-2 points bifurcating from \(Z^{*}_{2}\) are unstable for \(a>a^{*}\).
3.3 Naimark–Sacker bifurcation
In this subsection, we discuss the Naimark–Sacker bifurcation of map (2) occurring at \(Z^{*}_{2}\). If \(a=a_{h}\) and \(b\in (-1,1)\), then the roots of (6) are \(\lambda_{1,2}(a_{h})=-\frac{b}{2} \pm i \frac{\sqrt{4-b^{2}}}{2}\), \(\lambda_{3}(a_{h})=b\). Apparently, \(\vert \lambda_{1,2}(a_{h}) \vert =1, \vert \lambda_{3}(a_{h}) \vert <1\).
If \(a\approx a_{h}\), then the roots of (6) are \(\lambda_{1,2}(a)= \alpha \pm i\beta \) and \(\lambda_{3}\), where \(\alpha | _{a=a_{h}}=-\frac{b}{2}\), \(\beta |_{a=a_{h}}=\frac{\sqrt{4-b^{2}}}{2}\), and \(\lambda_{3}| _{a=a_{h}}=b\).
Since \(\lambda_{1,2}(a)\) satisfy (6), we have that
It is easy to calculate that \(\begin{array}{l} \frac{d}{da}\vert \lambda_{1,2}(a_{h}) \vert =\frac{1}{(1-b)(2+b)(1+2b^{2})}>0. \end{array} \) Besides, for the Naimark–Sacker bifurcation, it requires that \(\lambda^{j}_{1,2}(a_{h})\neq 1\), \(j=1, 2, 3, 4\), which implies that \(b\neq \pm 2\), \(b\neq 1\), \(b\neq 0\). So, it requires that \(b\neq 0\) since \(b\in (-1,1)\).
Let \(\bar{x}=x-x^{*}_{2}\), \(\bar{y}=y-y^{*}_{2}\), \(\bar{z}=z-z^{*} _{2}\), then system (2) becomes
Let \((\bar{x},\bar{y}, \bar{z})'=\tilde{T}(u,v,w)'\), then map (14) becomes
where
and
By the similar method as in Sects. 3.1 and 3.2, we can study the stability and the Naimark–Sacker bifurcation of \((\bar{x}, \bar{y},\bar{z})=(0,0,0)\) near \(\bar{a}=0\). Let \(W^{c}(0)=\{(u,v,w) \mid w=\tilde{h}(u,v), \tilde{h}(0,0)=0, D\tilde{h}(0,0)=0\}\), where \(\tilde{h}(u,v)=\tilde{\alpha } u^{2}+\tilde{\beta } uv+ \tilde{\gamma } v^{2}+O(3)\).
Because of invariance of the center manifold [19], we have that
We can obtain the values of α̃, β̃, γ̃ by comparing the coefficients of \(u^{2}\), uv, \(v^{2}\) in (16). From the existence theorem for center manifolds, the restrictions of map are
where \(\tilde{f}(u,v)=3b\tilde{F}(u,v,\tilde{h}(u,v))\), \(\tilde{g}(u,v)=\sqrt{4-b ^{2}}\tilde{F}(u,v,\tilde{h}(u,v))\).
Then we use the method given in [20] to study the Naimark–Sacker bifurcation of map (2). The coefficients are given as follows:
We can easily see that \(k>0\) for \(b\in (-1,- \frac{\sqrt{7}-1}{2})\) and \(k<0\) for \(b\in (-\frac{\sqrt{7}-1}{2},1)\). From the above analysis, we have the following results.
Theorem 5
Assume that \(b\in (-1,1)\) and \(b\neq 0\). If \(b\in (-1,-\frac{ \sqrt{7}-1}{2})\), map (2) undergoes a subcritical Naimark–Sacker bifurcation at \(Z^{*}_{2}\) for \(a=a_{h}\), and a repelling invariant circle occurs for \(a< a_{h}\); if \(b\in (- \frac{\sqrt{7}-1}{2},1)\), the map undergoes a supercritical Naimark–Sacker bifurcation at \(Z^{*}_{2}\) for \(a=a_{h}\), and an attracting invariant circle occurs for \(a>a_{h}\).
4 Numerical simulations
In this section, rich complex dynamical behaviors of system (2) are displayed by the bifurcation graphs, maximum Lyapunov exponents, and phase portraits. The numerical simulations also support theoretical analysis.
4.1 Numerical simulations for stability and codimension one bifurcations of fixed points
In this subsection, some numerical simulations verify the correctness of Proposition 2 and Theorems 3–5. Four cases are considered as follows:
Case(1) Let \(b=0.5\), then \(a_{0}=-0.0625\), \(a^{*}=0.1875\), and \(a_{h}=0.3281\). From Proposition 2, the fixed point \(Z^{*}_{2}\) of system (2) is stable for \(a\in (a_{0},a_{h})\). System (2) undergoes a fold bifurcation at \(Z^{*}_{0}\) for \(a=a_{0}\) by Theorem 3. Since \(b\in (-\frac{\sqrt{7}-1}{2},1)\), we have that the super Naimark–Sacker bifurcation occurs at \(Z^{*}_{2}\) for \(a=a_{h}\) by Theorem 5. Figure 2(a) shows the correctness of Proposition 2 and Theorems 3–5.
Case (2) Let \(b=-0.5\), then \(a_{0}=-0.5625\), \(a^{*}=0.3125\), and \(a_{h}=0.7031\). From Proposition 2, we have that the fixed point of system (2) \(Z^{*}_{2}\) is stable for \(a\in (a^{*},a _{h})\). Map (2) undergoes a fold bifurcation at \(Z^{*}_{0}\) for \(a=a_{0}\) by Theorem 3. Since \(k_{2}<0\), we have that the unstable flip bifurcation occurs at \(Z^{*}_{2}\) for \(a=a^{*}\) by Theorem 4. Since \(b\in (-\frac{\sqrt{7}-1}{2},1)\), we have that the super Naimark–Sacker bifurcation occurs at \(Z^{*}_{2}\) for \(a=a_{h}\) by Theorem 5. Figure 2(b) shows the correctness of Proposition 2 and Theorems 3–5.
Case (3) Let \(b=-0.85\), \(a_{0}=-0.8556\), \(a^{*}=-0.1331\), and \(a_{h}=0.2759\). From Proposition 2, we have that the fixed point \(Z^{*}_{2}\) is stable for \(a\in (a^{*},a_{h})\). Map (2) undergoes a fold bifurcation at \(Z^{*}_{0}\) for \(a=a_{0}\) by Theorem 3. Since \(k_{2}<0\), we have that the unstable flip bifurcation occurs at \(Z^{*}_{2}\) for \(a=a^{*}\) by Theorem 4. Since \(b\in (-1,-\frac{\sqrt{7}-1}{2})\), we have that the subcritical Naimark–Sacker bifurcation occurs at \(Z^{*}_{2}\) for \(a=a_{h}\) by Theorem 5. Figure 2(c) shows the correctness of Proposition 2 and Theorems 3–5.
Case (4) Fig. 2(d) shows the local bifurcation diagram for \(b=-0.85\) and \(a\in (0.273, 0.279)\). For \(b=-0.85\), \(a_{h}=0.2759\), Theorem 5 tells us that map (2) undergoes a subcritical Naimark–Sacker bifurcation at \(Z^{*}_{2}\) for \(a=a_{h}\) and has a small amplitude unstable invariant cycle for \(a< a_{h}\) slightly. However, Fig. 2(d) exhibits that there exists a large amplitude stable invariant cycle in map (2) for \(a\in (0.274, 0.279)\). Note that \(a_{h}\in (0.274,0.279)\). So, we infer that there exist a stable invariant cycle and an unstable one at the same time for \(a\in (0.274, a_{h})\) in map (2). Furthermore, the stable invariant cycle is outside the unstable invariant cycle and they coincide with each other to be a semi-stable invariant cycle at \(a=0.274\). So the system has a double-cycle structure for \(a\in (0.274, a_{h})\). Because the small amplitude invariant cycle is unstable, it cannot be plotted in the figure. But the large amplitude stable invariant cycle can be observed from Fig. 2(d), Fig. 7(a), and Fig. 8(a).
4.2 Further numerical simulations for system (2)
In this subsection, some numerical simulations show that system (2) has some new dynamical behaviors as its parameters vary.
Next, we give numerical simulations in three cases for \(b=0.5\),\(b=-0.5\), and \(b=-0.85\), respectively.
Case (A) Let \(b=0.5\), then \(a_{h}=0.3281\). We illustrate the bifurcation diagram and the maximum Lyapunov exponent of system (2) for \(a\in (0.3,0.8)\) in Figs. 3(a) and 3(b), respectively. In Fig. 3(a), the fixed point is stable for \(a\in (0.3,a_{h})\). With the increase of the parameter a, the stable fixed point will become unstable. The Naimark–Sacker bifurcation occurs at \(a\sim a_{h}\). Simultaneously, a stable invariant circle will appear as a is slightly greater than \(a_{h}\). Figure 3(c) is the local enlarged diagram of Fig. 3(a) for \(a\in (0.73,0.732)\), which shows the process from the period-10 orbits at \(a=0.73085\) to the chaotic region. We can also observe several periodic windows in the chaotic regions. In Fig. 3(b), the maximal Lyapunov exponent can rapidly change its values between negative and positive numbers. We deduce that there are stable fixed points or stable periodic windows in the chaotic region when the maximal Lyapunov exponent is negative. Fig. 4 shows phase portraits for \(a=a_{h}+0.02\), \(a=a_{h}+0.15\), \(a=0.73085\), and \(a=a_{h}+0.4\), which correspond to stable invariant cycle, stable quasi-invariant cycle, periodic-10 orbit, and chaos, respectively.
Case (B) Let \(b=-0.5\), then \(a_{h}=0.7031\). We illustrate the bifurcation diagram and the maximum Lyapunov exponent of system (2) for \(a\in (0.7,1.0)\) in Figs. 5(a) and 5(b), respectively. Figure 5(c) is the local enlarged diagram of Fig. 5(a) for \(a\in (0.91,0.935)\). As a varies, we can see the existence of chaotic regions and periodic windows. From Fig. 5(b), the maximal Lyapunov exponent can rapidly change its values between negative and positive as \(a\in (0.85,1.0)\). We deduce that there are stable fixed points or stable periodic windows in the chaotic region when the maximal Lyapunov exponent is negative. From Fig. 5(c) we observed that there is a periodic window at \(a\sim 0.92205\). Fig. 6 shows phase portraits for \(a=a_{h}+0.02\), \(a=a_{h}+0.1\), \(a=0.92205\), and \(a=a_{h}+0.15\), which correspond to stable invariant cycle, stable quasi-invariant cycle, periodic orbit, and chaos, respectively.
Case (C) Let \(b=-0.85\), then \(a_{h}=0.2759\). We illustrate the bifurcation diagram and the maximum Lyapunov exponent of system (2) for \(a\in (0.25,0.45)\) in Figs. 7(a) and 7(b), respectively. Figure 7(c) is the local enlarged diagram of Fig. 7(a) for \(a\in (0.4,0.435)\). With the increase of the parameter a, we can see the existence of chaotic regions and periodic windows. Similar to the case in Fig. 5(b), we can see as \(a\in (0.35,0.45)\), some Lyapunov exponents are positive and some are negative in Fig. 7(b). We can also expect that there are stable fixed points or stable periodic windows in the chaotic region as the maximal Lyapunov exponent is negative. Figure 7(c) shows the process from approximate period-40 orbits to chaos at \(a\sim 0.415\). Fig. 8 shows phase portraits for \(a=a_{h}-0.001\), \(a=a_{h}+0.02\), \(a=0.415\), and \(a=a_{h}+0.15\), which correspond to stable invariant cycle, stable quasi-invariant cycle, periodic orbit, and chaos, respectively.
5 Conclusion
In this paper we use the analytic and numerical methods to study the three-dimensional Hénon map with non-constant Jacobian determinant. From the bifurcation theory and center manifold theorem, we know that system (2) can undergo the fold bifurcation, flip bifurcation, and Naimark–Sacker bifurcation. The analytic results are illustrated by numerical simulations. We observe a number of interesting phenomena, such as the process of bifurcation to chaos, period windows, invariant cycle, coexistence of periodic orbit and chaos, etc., from bifurcation diagrams, maximum Lyapunov exponents, and phase portraits. In particular, we find coexistence of an unstable invariant cycle and a stable invariant cycle in the system for \(b=-0.85\) from bifurcation diagrams and phase portraits. Due to the specific form of high-dimensional generalized Hénon map, we believe that some conclusions in the paper can be extended to high-dimensional generalized Hénon map easily. The research methods and results of our paper will contribute to the study of the generalized Hénon map.
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Acknowledgements
The authors would like to thank the referee and the editor for their valuable comments which led to improvement of this work. This work was supported by the National Natural Science Foundation of China (Nos. 10971009, 10771196, 11771033), the National Scholarship Fund (No. 201303070222, 201706020203).
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Zheng, J., Wang, Z., Li, Y. et al. Bifurcations and chaos in a three-dimensional generalized Hénon map. Adv Differ Equ 2018, 185 (2018). https://doi.org/10.1186/s13662-018-1622-y
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DOI: https://doi.org/10.1186/s13662-018-1622-y