Abstract
Aiming to explore the subtle connection between the number of nonlinear terms in Lorenz-like systems and hidden attractors, this paper introduces a new simple sub-quadratic four-thirds-degree Lorenz-like system, where , , , and uncovers the following property of these systems: decreasing the powers of the nonlinear terms in a quadratic Lorenz-like system where , , , may narrow, or even eliminate the range of the parameter c for hidden attractors, but enlarge it for self-excited attractors. By combining numerical simulation, stability and bifurcation theory, most of the important dynamics of the Lorenz system family are revealed, including self-excited Lorenz-like attractors, Hopf bifurcation and generic pitchfork bifurcation at the origin, singularly degenerate heteroclinic cycles, degenerate pitchfork bifurcation at non-isolated equilibria, invariant algebraic surface, heteroclinic orbits and so on. The obtained results may verify the generalization of the second part of the celebrated Hilbert’s sixteenth problem to some degree, showing that the number and mutual disposition of attractors and repellers may depend on the degree of chaotic multidimensional dynamical systems.
Keywords:
generalization of hilbert’s 16th problem; sub-quadratic Lorenz-like system; heteroclinic orbit; Lyapunov function MSC:
34D23; 34C37; 37C29
1. Introduction
As the fourteenth mathematical problem of the twenty-first century collected by Smale [1], revealing the nature of the Lorenz attractor has continued to be a hot topic of ongoing research in nonlinear science since its introduction [2,3,4,5,6,7,8]. As part of this ongoing effort, when studying the chaos of three-dimensional quadratic autonomous differential systems using the contraction map and boundary problem, Shilnikov et al. introduced the following classification: chaos of the Shilnikov homoclinic orbit, or heteroclinic orbit, or homoclinic and heteroclinic orbits hybrid orbit type, etc. [7]. Combining numerical technique and theoretical analysis, Kokubu et al. gave some explanation of Lorenz-like attractors from the viewpoint of the collapse of singularly degenerate heteroclinic cycles [9,10]. Llibre and Zhang applied homogeneous-weight polynomials and the method of characteristic curves to solve the linear partial differential equations in order to study invariant algebraic surface of the Lorenz system, the collapse of which may generate strange attractors [11]. Liao et al. argued that the existence of a global attractive compact set and having at least one positive Lyapunov exponent are the two sufficient conditions of a continuous system exhibiting chaos, and verified their findings using the chaotic Lorenz family [12,13]. Based on the algebraic structure and topological characterization, Letellier et al. introduced the concepts of Lorenz-like systems and attractors [8]. Chen separated the vector fields of Lorenz chaotic family into the linear and nonlinear parts [14], while others divided them into the conservative, dissipative and the external force field part [15,16,17].
However, Kuznetsov et al. turned their attention to the relationship between the degree of the considered model and Lorenz-like attractors and generalized the second part of the celebrated Hilbert’s sixteenth problem: the degree may control the number and mutual disposition of attractors and repellers [18,19]. Zhang and Chen reasserted this conjecture and coined two coexisting two-scroll Lorenz attractors from a cubic Lorenz system [20]. Motivated by that, Wang et al. guessed that decreasing the powers of x of the second and third equations of the quadratic Lorenz-like system [21] may widen the range of the parameter c for hidden attractors, and verified this via two sub-quadratic Lorenz-like analogues with degrees of four-thirds and six-fifths [22,23].
Now, one can not help but wonder what happens when decreasing the powers of x of the cross products and of the Lorenz-like system [21], especially for the self-excited and hidden attractors. To the best of our knowledge, little attention seems to have been paid to this problem. Furthermore, this newly reported Lorenz-like system also satisfies the second criterion of Sprott [24], i.e., the main contribution of this study, validating the generalization of the second part of the Hilbert’s sixteenth problem to some degree: the decrease in the powers of nonlinear terms may narrow or even eliminate the scope of some certain parameters for hidden Lorenz-like attractors, but enlarge it for self-excited attractors. This compelled us to carry out the research detailed here.
2. New Four-Thirds-Degree Lorenz-like System and Its Main Dynamics
By replacing the nonlinear term in the sub-quadratic Lorenz-like system [22] with the linear one , we formulate the analogue as follows:
In order to distinguish system (1) from the systems in [21,22,23], we must first present its basic dynamics in the following propositions. We have done this indentation.
Proposition 1.
Remark 1.
As in the systems in [21,22,23], a generic (resp. degenerate) pitchfork bifurcation at (resp. ) occurs in system (1) when (resp. ) and c (resp. b) passes through the zero value and .
Proposition 2.
Table 1.
The dynamical behaviors of .
Table 2.
The dynamical behaviors of .
Remark 2.
As for the system in [22], using a linear analysis, one can easily obtain the characteristic equations of and : and , where , and from which Proposition 2 follows.
In the next proposition, let us discuss the local dynamics of .
Proposition 3.
Make , , and
Then, is unstable (resp. asymptotically stable) when (resp. ). However, when , system (1) undergoes Hopf bifurcation at .
As stated in [21] (Proposition 2.4, p. 2567) (resp. Proposition 3), the non-trivial equilibria of the following quadratic Lorenz-like system is
(resp. system (1)) is asymptotically stable when (resp. ). Due to , system (1) may experience chaotic behaviors coexisting with the unstable origin and stable in a narrower range of the parameter c in contrast to the quadratic one (2).
Likewise, for , the of system (1) (resp. (2)) is asymptotically stable when (resp. ), and Figure 1 shows the periodic behavior rather than chaotic attractors displayed in system (2) [22] (Figure 3, p. 363).
Figure 1.
For , and ; (a–c) bifurcation diagrams; (d) Lyapunov exponents versus c of system (1). In contrast to system (2) [22] (Figure 3, p. 363), these figures suggest that the solutions for the system in (1) display stable equilibria and period orbits, rather than the self-excited and hidden attractors shown in the system in (2).
For and , the quadratic Lorenz-like system (2) mainly experiences periodic behaviors, whereas system (1) mainly experiences chaotic ones, as shown in Figure 2, Figure 3, Figure 4, Figure 5 and Figure 6.
Figure 3.
For , and ; (a–c) bifurcation diagrams; (d) Lyapunov exponents versus c of system (1). In contrast with Figure 2, the four subfigures show that system (1) mainly behaves in a similar way to self-excited attractors, verifying the introduced property, i.e., a decrease in powers of nonlinear terms of the quadratic Lorenz-like system (2) may narrow or even eliminate the range of the parameter c for hidden attractors, but enlarge it for self-excited attractors.

Therefore, compared with another two sub-quadratic Lorenz-like analogues [22] (Figures 1–2, p. 362), [23] (Property, Figures 2–4, p. 2450071-5-7) and Figure 2, Figure 3, Figure 4, Figure 5 and Figure 6, one may obtain the convincing argument:
Property. A decrease in the powers of nonlinear terms of the quadratic Lorenz-like system (2) may narrow or even eliminate the range of the parameter c for hidden attractors, but enlarge it for self-excited attractors.
Meanwhile, unlike most of other Lorenz-like systems [9,10,22,23,25,26,27,28], the collapse of the singularly degenerate heteroclinic cycles in the system in (1) makes it hard to create strange attractors, as shown in the following numerical result.
According to the dynamics of in Table 2, for , and , the one-dimensional unstable manifold () tending towards the stable with creates singularly degenerate heteroclinic cycles, as shown in Figure 3a. Moreover, a tiny perturbation in may change singularly degenerate heteroclinic cycles to limit cycles, as depicted in Figure 3b.
Remark 3.
When , is asymptotically stable (resp. unstable) when (resp. ). However, when , the system in (1) undergoes Hopf bifurcation at .
Finally, similarly to [21,22,23,26,28,29,30,31,32,33,34,35], we will discuss the heteroclinic orbits of the system in (1) and present it in the following proposition.
Proposition 4.
Remark 4.
Generally speaking, the equilibria of heteroclinic orbits are all saddles or saddle-foci, or unstable nodes [7]. As heteroclinic orbits [21,22,23,26,28,29,30,31,32,33,34,35], those discussed in Proposition 4 are heteroclinic wiggles [7] (Figure 14.3.2, p. 439), which connect the stable and unstable .
The rest of the paper is arranged as follows. Section 3 studies the stability and Hopf bifurcation of followed by the proof of Proposition 3. Section 4 discusses the heteroclinic orbits and the proof of Proposition 4 is outlined. A conclusion is drawn and the subject of future work is discussed in Section 5, particularly related to the the relationship between the degree and the Lorenz-like attractors.
3. Hopf Bifurcation
Using the theory of Hopf bifurcation, we then sketched a proof for Proposition 3.
Proof of Proposition 3.
First of all, the characteristic equation of is calculated:
Next, based on the Routh–Hurwitz criterion and Equation (3), we derived the stability of ; however, we have omitted its proof here.
, and are a pair of conjugate purely imaginary roots and one negative real root for Equation (3), respectively. Moreover, one has
from which the transversal condition is verified. Therefore, Hopf bifurcation happens at . □
Next, we applied the project method [36,37] to compute the Lyapunov coefficients, aiming to determine the nondegeneracy (or stability) of the Hopf bifurcation at .
Firstly, based on the time and coordinate transformation
system (1) can be transformed to the equivalent one:
The of system (1) corresponds to in system (4). One can verify the transversality of Hopf bifurcation at .
In fact, the characteristic equation at is
with and when . We then obtained the following derivative
where , which thus verifies the transversality of Hopf bifurcation of .
To compute the first Lyapunov coefficient , one has to distill the following multi-linear symmetric functions from system (4)
When , one needs to compute the other multi-linear symmetric functions to get the second Lyapunov exponent or the third or even higher order ones.
Due to complex algebraic structure of system (6) itself, it is difficult to obtain the explicit form of . However, one can easily calculate it for a concrete problem, e.g., . Here, , whose eigenvalues are and , and the transversality condition holds: . Moreover, the of is discussed in the following proposition.
Proposition 5.
For , system (6) undergoes a Hopf bifurcation at , for which the first Lyapunov coefficient is , and thus are both weakly unstable foci. Because of , the Hopf bifurcation at is supercritical. In a word, for when it is close to , there is at least a pair of stable close orbits around the unstable .
Proof.
Based on the method proposed in [36,37], one can easily obtain the following expressions
In the next section, we will study the existence of heteroclinic orbits in system (1). For the sake of our argument, we list the following symbols:
(1) : a solution for system (1) with the initial condition .
(2) (resp. ): the negative (resp. positive) branch of with (resp. ) when .
4. Existence of Heteroclinic Orbit
In this section, as in [21,22,23,26,28,29,30,31,32,33,34,35], with a suitable choice of Lyapunov functions, the proof of Proposition 4 can be divided into two stages: (1) , (2) .
4.1.
This subsection introduces the first Lyapunov function
and the following assertions:
Lemma 1.
If and , then we have the following results:
- 1.
- Assume , and . is one of the stationary points.
- 2.
- If and , , then we arrive at and , . Namely, .
Proof.
(1) By taking the derivative of with respect to , we arrive at
and derive
under the condition of (1), .
(2) Now, , we prove the fact . If not, , . In fact, the first assertion suggests that is just an equilibrium point, contradicting the assumption that and . In a word, , .
Next, let us prove , . Otherwise, , . Since , , one arrives at , . Due to , , one gets Further, the following statement is derived, which is impossible. As a result, one arrives at , for all . This ends the proof. □
Lemma 2.
Proof.
On the basis of Equation (7), one derives , and obtains that , and are all bounded, , i.e., is bounded.
Denoting the -limit set of by . For , , we have
Next, for all , suggests = As a result, . Because of connectedness of , one only deduces , or , yielding that approaches an equilibrium point such as . The proof is completed. □
Lastly, one considers the existence of heteroclinic orbits with the help of above two lemmas.
Theorem 1.
When and , the following two statements hold.
Proof.
For and , one firstly shows that homoclinic orbits at or do not exist in system (1). If not, a homoclinic orbit at , or can be denoted by , i.e., , where .
From Equation (7), one obtains
In both cases, we obtain the fact that and further arrive at . From the first statement in Lemma 1, is only an equilibrium point. Namely, homoclinic orbits at , or are non-existent.
Then, let us prove that is a heteroclinic orbit at and , i.e., . From the concept of and Lemma 1, we only arrive at , for all , yielding . As a result, is true.
Finally, let us prove the uniqueness of .
Let be a solution for system (1) such that , and Like Equation (9), one gets , , from Equation (8). Due to , one derives and , i.e.,
which leads to from the second assertion of Lemma 1. Since system (1) is axis-symmetrical with respect to the z-axis, a single heteroclinic orbit , i.e., the ones at and , also exists in system (1). This completes the proof. □
4.2.
Firstly, we introduce another Lyapunov function
from which the following lemma is deduced:
Lemma 3.
When and , one arrives at the following four assertions.
(i) If is bounded, then .
(ii) If , then
(iii) If and , , , then is an equilibrium point.
(iv) If and , , then and , . Namely, .
Proof.
(i) When and , the derivative of is calculated as follows: , i.e.,
Since is bounded, Equation (10) yields , i.e., .
(ii) The fact that and system (1) result in Conclusion (ii) of Lemma 3.
(iii) Based on assumed conditions and the above statement, we obtain , for all , i.e.
In virtue of , Equation (11) and , one deduces
Hence, is only an equilibrium point.
(iv) First of all, one shows that , . If not, , . In addition, the first, second and third assertions yield that is an equilibrium point, which contradicts and . Namely, we find that holds for .
Then, we prove , . If not, , such that . Due to , , such that . Since , , we obtain On the other hand, . As such, a contradiction happens. Therefore, holds, . □
Lemma 4.
Set and . If is bounded when , then , or . In a word, there are no closed orbits in system (1).
Proof.
From the first and second assertion of Lemma 3, exists. Assume , i.e., , we have For all ,
leads to
On the basis of Lemma 3, one obtains . Therefore,
Because is connected, one derives , or , or , suggesting that approaches an equilibrium point. The proof is completed. □
Theorem 2.
When and , we derive the statements as follows.
(i) There are no homoclinic orbits in system (1).
(ii) A pair of heteroclinic orbits and exist in system (1).
Proof.
(i) When and , we are able to prove the non-existence of homoclinic orbits connecting , and in system (1). Otherwise, we assume that is a homoclinic orbit to , or , i.e.,
Based on Lemma 3 and , we find that is only a stationary point.
As such, homoclinic orbits to or are non-existent in system (1).
(ii) Then, we prove the uniqueness of , i.e., the heteroclinic orbit at and .
Suppose is a solution of system (1) such that
For all , the first and second assertions of Lemma 3 yield
Due to , one derives and , i.e.,
which leads to based on Lemma 3.
Finally, one shows that is just the heteroclinic orbit to and ; that is, . According to Lemma 3, we deduce the following:
Based on the second part of Equation (14), one arrives at . Again, Equation (14) suggests that , and are all bounded, and also shows the boundedness of , for all . We denote the -limit set of as ; that is, for all , , we obtain and . In a word, for all ,
and Lemma 3 all lead to . Therefore, . Because of the connectedness of , the relation or holds. Based on Lemma 3 and Equation (14), one derives . In a word, , i.e., . Therefore, there exists a single heteroclinic orbit to and . Due to the symmetry, there exists another unique heteroclinic orbit to and in system (1), as shown in Figure 8. The proof is finished. □
Figure 8.
For , and , phase portraits of system (1), verifying the existence of a pair of heteroclinic orbits to unstable and stable when and .
5. Conclusions
Combining a theoretical analysis and numerical simulation, this paper investigates a newly reported 3D sub-quadratic four-thirds-degree Lorenz-like system, and reveals most of inherent dynamics of the Lorenz system family, i.e., self-excited attractors, Hopf bifurcation, generic and degenerate pitchfork, heteroclinic orbits, singularly degenerate heteroclinic cycle, an invariant algebraic surface, etc.
In contrast to the existing quadratic and sub-quadratic Lorenz-like analogues, we may find a new property: decreasing the powers of nonlinear terms may narrow and even eliminate the range of some certain parameters for hidden attractors, but enlarge it for self-excited attractors. This may verify the generalization of the second part of the celebrated Hilbert’s sixteenth problem to some degree: the number and mutual disposition of attractors and repellers may depend on the degree of polynomials of chaotic multidimensional dynamical systems. However, previous studies mainly emphasized that the aforementioned dynamics may explain the forming mechanism of strange attractors.
In future, we will expect other researchers to test this property through more Lorenz-like analogues, and clarify the relationship between other complex dynamics and the degrees, shedding light on the nature of chaos and providing reference for chaos-based applications.
Author Contributions
Conceptualization, G.K.; Methodology, J.P.; Software, G.K., J.P. and H.W.; Validation, H.W.; Investigation, G.K. and J.P.; Writing—original draft, G.K. and J.P.; Writing—review & editing, H.W.; Visualization, G.K., J.P., F.H. and H.W.; Supervision, J.P. All authors have read and agreed to the published version of the manuscript.
Funding
This work is supported in part Natural Science Foundation of Zhejiang Guangsha Vocational and Technical University of construction under Grant 2022KYQD-KGY, in part National Natural Science Foundation of China under Grant 12001489, in part Zhejiang Public Welfare Technology Application Research Project of China Grant LGN21F020003, in part Natural Science Foundation of Taizhou University under Grant T20210906033.
Data Availability Statement
There are no data because the results obtained in this paper can be reproduced based on the information given in this paper.
Conflicts of Interest
The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.
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