2012
DOI: 10.1142/s0218127412502549
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Four Limit Cycles From Perturbing Quadratic Integrable Systems by Quadratic Polynomials

Abstract: In this paper, we give a positive answer to the open question: Can there exist 4 limit cycles in quadratic near-integrable polynomial systems? It is shown that when a quadratic integrable system has two centers and is perturbed by quadratic polynomials, it can generate at least 4 limit cycles with (3, 1) distribution. The method of Melnikov function is used.

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Cited by 30 publications
(26 citation statements)
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References 27 publications
(89 reference statements)
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“…h 3. 12 Limit cycles in system (6) Now we return to system (6) and let the parameter a be free to vary. In this case, we have the following result.…”
Section: Limit Cycles In Systemsmentioning
confidence: 99%
See 2 more Smart Citations
“…h 3. 12 Limit cycles in system (6) Now we return to system (6) and let the parameter a be free to vary. In this case, we have the following result.…”
Section: Limit Cycles In Systemsmentioning
confidence: 99%
“…For general quadratic polynomial systems, the best result is Hð2Þ P 4, obtained more than 30 years ago [4,5]. Recently, this result was also obtained for near-integrable quadratic systems [6]. However, whether Hð2Þ ¼ 4, is still open.…”
Section: Introductionmentioning
confidence: 99%
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“…Then, we may determine the number of the limit cycles of system (6) emerging from the closed ovals {Γ h } by studying the zeros of the first non-vanishing Melnikov function (8). Denote Z(n) the sharp upper bound of the number of zeros of M 1 (h) for system (6), where n = max{deg(P ), deg(Q)}. Gavrilov [18] proved Z(2) = 2 for the Hamiltonian H with four distinct critical values (in a complex domain).…”
Section: Introductionmentioning
confidence: 99%
“…However, in recent years, there were some works on limit cycle bifurcations by perturbing non-Hamilton integrable systems (see [7,13,[15][16][17] for example). As we know, the main tool for studying the bifurcation problem of limit cycles is to use the first order Melnikov function.…”
Section: Introductionmentioning
confidence: 99%