Abstract
In this paper, cubic perturbations of the integral system where are considered. Some useful formulae are deduced that can be used to compute the first three Melnikov functions associated with the perturbed system. By employing the properties of the ETC system and the expressions of the Melnikov functions, the existence of exactly six limit cycles is given. Note that there are many cases for the existence of third-order Melnikov functions, and some existence conditions are very complicated—the corresponding Melnikov functions are not presented.
MSC:
34A99; 34C37; 37G15
1. Introduction
In the study of planar systems of differential equations, one of the most challenging problems is the second part of Hilbert’s 16th problem. Consider a planar system of differential equations in the following form
where P and Q are polynomials of degree n. Then, the second part of Hilbert’s 16th problem asks for the upper bound for the number of limit cycles in planar polynomial systems of degree n and their relative positions (see [1,2], for example). Due to its difficulty, a weakened version, now known as the weakened 16th Hilbert problem is posed by Arnold [3] that asks for the upper bound for the number of limit cycles of the perturbed system.
where and is a Hamiltonian function. The problem has been researched for by several research groups independently [4,5,6], and to answer this weakened version, various methods have been developed, among them a popular method is based on the Melnikov functions. By computing the higher-order Melnikov functions based on the algorithm of [7,8], researchers have studied the number of limit cycles bifurcated from the above perturbed system (see [9,10,11,12,13,14,15,16,17,18,19,20]). The results in [12] showed that quasi-homogeneous polynomial Hamiltonian systems have a bound on the number of limit cycle bifurcations from the period annulus at any order of Melnikov functions. Asheghi and Nabavi [16] discussed the following perturbed system
They studied the limit cycles by using Melnikov functions up to order three and proved that there are six or seven limit cycles of system (3).
Yang and Yu [17] considered the following system with
using the Melnikov function of any order and proved that the upper bound for the number of limit cycles is three.
Following the work of [17], Liu [18] studied the number of limit cycles bifurcated from the origin of the following perturbed system
The main results showed that the first four Melnikov functions associated with the perturbed system can yield five limit cycles.
For system (4), it is easy to see when ; there exists a family of periodic orbits for surrounding the origin. Then, the higher order Melnikov functions can be defined in the following way: fixing a transversal segment to the flow in (4) and using the energy level h to parameterize it, the corresponding displacement function is
where is called the kth-order Melnikov function of system (4). For example, the first-order Melnikov function of system (4) takes the form
If , every simple zero of corresponds to a limit cycle of the perturbed system (4) near . If , then the simple zero of will become very important in investigating the number of limit cycles of the perturbed system. Similarly, we may use , ,⋯ to study the number of limit cycles [9,10,13,15,17].
In this paper, we also consider system (4), but with Thus, the system becomes a planar cubic system. We will study the upper bound of limit cycles of the system by using the higher-order Melnikov functions. Although, our system seems similar to the system in [17,18], it needs more-difficult 1-form decompositions than theirs.
2. Preliminaries
Let
then the Pfaffian form of system (4) is .
The following Lemmas and Remarks shall be used to prove the main Theorems. The algorithm of calculating is shown by Francoise [7] and Iliev [8].
Lemma 1 ([8,17]).
Assume is the period annulus defined by , the polynomial function H(x,y) and the 1-form ω satisfy if and only if there are two analytic functions and in a neighborhood of such that
Lemma 2 ([7,17]).
Let , then ;
- (1)
- If , then Let we have , and can be decomposed into ; then ;
- (2)
- If , then Let we have , and can be decomposed into ; then ;By this way, if , then and we assume . We have , where
Remark 1.
The authors in [17] have noted that is not used in the subsequent calculative process when Thus, the specific form of for will not be shown in the following sections.
In the next lemma, an algorithm to decompose is given to simplify the expression of .
Define
where and are called the generators of
Therefore, also can be rewritten as
Lemma 3.
- (i)
- For , there exist 1-forms and as follows:
- (ii)
- If j is even,
If j is odd,
Proof.
(i) Here, we use partial integration and the Laurent expansion method to decompose and , and some decompositions have been proved in [17].
The Formula (10) is obtained. The proof of (ii) is omitted. □
Lemma 4.
The generators shown in (8) can be obtained through Maple software
Define
then
The proof of the expressions , , and can be seen in [10].
Lemma 5.
The following expressions can be deduced by using the above formulae
where
Proof.
Since
therefore
Let and , then
which implies We also have
By
we have
Because
on the other hand, we have
therefore,
□
The Chebyshev criterion will be used in the following (see [16,21,22] for example).
Let , , …, be analytic functions on an open interval L of R. An ordered set is an extended complete Chebyshev system (in short, ECT system) on L if, for all any nontrivial linear
has at most isolated zeros on L counted with multiplicities.
Lemma 6 ([21]).
is an ECT system on L if, and only if, for each
for all
Remark 2.
If is an ECT system on L, then for each there exists a linear combination (30) with exactly simple zeros on L (see, for instance, Remark 3.7 in [22]).
3. The Calculation of Mk(h)
3.1. The Melnikov Function of First-Order M1(h)
Lemma 7.
Theorem 1.
has at most three zeros, i.e., system (4) has at most three limit cycles by the first-order Melnikov function, and the upper bound for the number of limit cycles is reached.
Proof.
Let by Lemmas 2, 4 and 5,
It is easy to verify that is an ECT system for by Lemma 6 and since . Therefore, has exactly three zeros when taking appropriate coefficients by Remark 2. □
3.2. The Melnikov Function of Second-Order M2(h)
implies that ; solving them, we have
Lemma 8.
The 1-form can be decomposed into
where
Proof.
Following (36), we have
and the expressions of and are omitted.
From Lemma 3, we can calculate the decomposed expressions of and for Together with
Theorem 2.
Let ; has at most four zeros, then system (4) has at most four limit cycles by the second-order Melnikov function, and the maximum number can be attained.
Proof.
Let , . Together with Lemmas 2, 4 and 5,
The function is an ECT system for by Lemma 6. Furthermore, when we take , then ; it follows from Remark 2 that has exactly four zeros by choosing appropriate coefficients . □
3.3. The Third-Order Melnikov Function
Let , i.e., of Theorem 2. By using the Maple software, there are 28 cases. Some cases are short; however, some cases are very long, and we cannot continue to compute the higher-order Melnikov functions. Here, we only show five cases.
Assume that then
Lemma 9.
Proof.
Under Case (1), there exist Together with Lemma 2, can be written as by By Case (1), we have
By Lemma 2, Then, we have where
□
Theorem 3.
Let and Case (1) hold. has exactly six simple zeros; moreover, system (4) has exactly six limit cycles by the third-order Melnikov function.
Proof.
Let , . By Lemmas 2–5, it yields
It is easy to verify that is an ECT system according to Lemma 6. Let one can obtain that
by Remark 2, one can choose enough coefficients such that has exactly six simple zeros. □
By taking similar steps, we consider Cases (2)–(5).
Theorem 4.
Let , then
- (i)
- in Case (2), has at most six zeros;
- (ii)
- in Case (3), has exactly four simple zeros;
- (iii)
- in Case (4), has exactly five simple zeros;
- (iv)
- in Case (5), has exactly six simple zeros.
Proof.
Let . (i) In Case (2),
Here, we can prove that the function is an ECT system. However, the corresponding seven coefficients are not independent, and has at most six zeros.
(ii) In Case (3), by Lemmas 2–5
Since the function is an ECT system and the corresponding five coefficients are free parameters, by Lemma 6 and Remark 2, has exactly four simple zeros.
(iii) In Case (4),
One can verify that the function is an ECT system, and when , then we have
By Lemma 6 and Remark 2, has exactly five simple zeros.
(iv) In Case (5),
By Lemma 6, we know that is an ECT system. Furthermore, we have then has exactly six simple zeros by Remark 2. □
4. Conclusions
Based on the previous results, by deducing some new formulae in Lemmas 3 and 5, the first three Melnikov functions of system (4) with are considered. There are many third-order Melnikov functions; since some cases are difficult to compute, we just list five cases. We obtain exactly six limit cycles. It is difficult to obtain the conditions of the existence of the fourth-order Melnikov functions; we do not continue to consider the fourth-order Melnikov function.
Author Contributions
Y.L.: methodology, computation. X.L.: conceptualization, methodology, software, writing—original draft. T.Z.: writing—review and editing. All authors have read and agreed to the published version of the manuscript.
Funding
This research was financially supported by the National Natural Science Foundation of China (Grant Nos. 11601131).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Acknowledgments
This research was financially supported by the National Natural Science Foundation of China. We would like to thank the anonymous reviewer for his/her valuable suggestions.
Conflicts of Interest
The authors declare no conflict of interest.
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