LIMIT CYCLES COMING FROM THE PERTURBATION OF 2-DIMENSIONAL CENTERS OF VECTOR FIELDS IN R 3
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1 Dynamic Systems and Applications 17 ( LIMIT CYCLES COMING FROM THE PERTURBATION OF 2-DIMENSIONAL CENTERS OF VECTOR FIELDS IN R 3 JAUME LLIBRE, JIANG YU, AND XIANG ZHANG Departament de Matemàtiques, Universitat Autònoma de Barcelona, 8193 Bellaterra, Barcelona, Spain jllibre@mat.uab.cat Department of Mathematics, Shanghai Jiaotong University Shanghai, 224, P. R. China jiangyu@sjtu.edu.cn and xzhang@sjtu.edu.cn ABSTRACT. In this paper we study the limit cycles of polynomial vector fields in R 3 which bifurcates from three different kinds of two dimensional centers (non-degenerate and degenerate. The study is down using the averaging theory. AMS (MOS Subject Classification. 37G15, 37D45 1. INTRODUCTIONS AND STATEMENT OF THE MAIN RESULTS One of the main problems in the theory of differential systems is the study of their periodic orbits, their existence, their number and their stability. In this paper the study of the existence of periodic orbits of a differential system is reduced using the averaging theory to study the zeroes of a system of functions. One of the main problems for applying the averaging theory is to transform the differential system that we want to study into the normal form for applying the averaging method. When this method cannot be applied, sometimes there are other ways to reduce the problem of studying the existence of periodic orbits to study the zeroes of a system of functions. In general these methods are called alternative methods (see for instance Section 2.4 of Chow and Hale [4], one of these particular alternative methods is the well known Liapunov Schmidt method. As usual a limit cycle of a differential equation is a periodic orbit isolated in the set of all periodic orbits of the differential equation. In this paper we shall study the limit cycles which bifurcate from the periodic orbits of three kinds of different 2 dimensional centers contained in a differential system of R 3 when we perturb it. These kinds of bifurcations have been studied extensively for 2 dimensional systems (see for instance the book [6] and the references quoted there, but for 3 dimensional systems there are very few results, see for instance [1, 2, 7, 8]. Received October 16, $15. c Dynamic Publishers, Inc.
2 626 J. LLIBRE, J. YU, AND X. ZHANG First we shall study the perturbation of a 2 dimensional linear center inside R 3, and after the perturbation of two degenerate 2 dimensional centers also inside R 3. We consider the following system ẋ = y + εp(x, y, z, (1.1 ẏ = x + εq(x, y, z + ε cost, ż = az + εr(x, y, z, where a and P = a i,j,k x i y j z k, Q = b i,j,k x i y j z k R = c i,j,k x i y j z k. i+j+k= i+j+k= i+j+k= System (1.1 has been studied in [5] when a = and without the perturbation due to ε cost. When a and ε are zero the unperturbed system has all R 3 except the z axis filled by periodic orbits. For a and ε = the unperturbed system (1.1 only has the plane z = except the origin filled of periodic orbits. The center on the plane z = is called nondegenerate when the eigenvalues of its linear part are of the form ±bi with b. When we have a center having zero eigenvalues we say that it is degenerate. Theorem 1.1. The linear differential system (1.1 with ε = restricted to the plane z = has a global center at the origin (i.e. all the orbits contained in z = with the exception of the origin are periodic. Then for convenient polynomials P, Q and R, system (1.1 with ε sufficiently small has at least m {1, 2,..., 2[(n 1/2] + 1} limit cycles bifurcating from the periodic orbits of the linear center contained in z = when ε =, where [ ] denotes the integer part function. Moreover the existence or not of these limit cycles only depends on the coefficients a i,j, and b i,j, with i+j odd. The proof of Theorem 1.1 is given in Section 2. Now we consider the polynomial differential system in R 3 given by ẋ = y(3x 2 + y 2 + εp(x, y, z, (1.2 ẏ = x(x 2 y 2 + εq(x, y, z, ż = z(x 2 + y 2 + εr(x, y, z. The unperturbed system (1.2 with ε = has a degenerate center at the origin of the plane z = (for more details see Section 3, a main difference with the unperturbed system (1.1 with ε = whose center is non degenerate. Theorem 1.2. The homogeneous polynomial differential system (1.2 with ε = restricted to the plane z = has a global center at the origin. Let P, Q and R be polynomials of degree at most n. Then for convenient polynomials P, Q and R, system (1.2 with ε sufficiently small has at least m {1, 2,..., [(n 1/2]} limit cycles bifurcating from the periodic orbits of the center contained in z = when ε =.
3 LIMIT CYCLES OF VECTOR FIELDS IN R The proof of Theorem 1.2 is given in Section 3. We remark that the perturbation of the degenerate center at the plane z = inside the class of planar vector fields has been studied in [7]. Finally we consider the polynomial differential system in R 3 defined by (1.3 ẋ = y(x 2 + y 2 + εp(x, y, z, ẏ = x(x 2 + y 2 + εq(x, y, z, ż = z(x 2 + y 2 + εr(x, y, z. Theorem 1.3. The homogeneous polynomial differential system (1.3 with ε = restricted to the plane z = has a global center at the origin. For convenient polynomials P, Q and R of degree at most n, system (1.3 with ε sufficiently small has at least m {1, 2,..., [(n 1/2]} limit cycles bifurcating from the periodic orbits of the center contained in z = when ε =. 2. PROOF OF THEOREM 1.1 The origin (,, is the unique singular point of system (1.1 when ε =. The eigenvalues of the linearized system at this singular point are ±i and a. So it has a linear center on the plane z =. Outside this plane all the orbits tends to it in forward time if a <, or in backward time if a >. If we apply the notation introduced in the Appendix to system (1.1 we have that x = (x, y, z, F (x, t = ( y, x, az T, F 1 (x, t = (P, Q + cost, R T and F 2 (x, t =. Let x(t; x, y, z, ε be the solution of system (1.1 such that x(; x, y, z, ε = (x, y, z. The periodic solution x(t; x, y,, = (x(t, y(t, z(t T of the unperturbed system (1.1 with ε = is (2.1 x(t = x cos t y sin t, y(t = y cost + x sin t, z(t =. Note that all the periodic orbits of the linear center have period 2π. For our system the V and the α of Theorem 5.1 of the Appendix are V = {(x, y, : < x 2 + y 2 < ρ} for some arbitrary ρ > and α = (x, y V. The fundamental solution matrix M(t of the variational equation of the unperturbed system (1.1 ε= with respect to the periodic orbits (2.1 satisfying that M( is the identity matrix is M(t = cos t sin t sin t cost e at.
4 628 J. LLIBRE, J. YU, AND X. ZHANG We remark that it is independent of the initial condition (x, y,. Moreover an easy computation shows that M 1 ( M 1 (2π = 1 e 2πa In short we have shown that all the assumptions of Theorem 5.1 of the Appendix hold. Hence we shall study the zeros α = (x, y V of the two components of the function F(α given in (5.4. More precisely we have F(α = (F 1 (α, F 2 (α where F 1 (α = =. (cost P(x(t; X + sin t (Q(x(t; X + cos tdt ( cost a i,j, X(t i Y (t dt j + sin t i+j= ( i+j= b i,j, X(t i Y (t j dt, F 2 (α = ( sin t P(x(t; X + cost (Q(x(t; X + cos tdt ( 2π = π sin t a i,j, X(t i Y (t dt j + cost i+j= ( i+j= b i,j, X(t i Y (t j dt, with X = (x, y,,, X(t = x cos t y sin t and Y (t = x sin t + y cos t. To simplify the computation of these two previous integrals we do the change of variables (x, y (r, s given by (2.2 x = r coss, y = r sin s, where r > and s [, 2π. In order to estimate the number of the periodic solutions of system (1.1, according with Theorem 5.1 we must study the solutions of the system F 1 (x, y = F 2 (x, y =. From the change (2.2 and the expressions (2.1 a monomial x i y j which appears in P(x, y, z and Q(x, y, z becomes ( 1 j r i+j cos i (t s sin j (t s. Hence we obtain the following expressions F 1 (r, s = cost sin t ( 1 j a i,j, r i+j cos i (t s sin j (t sdt + i+j= ( 1 j b i,j, r i+j cos i (t s sin j (t sdt, i+j=
5 F 2 (r, s = π sin t LIMIT CYCLES OF VECTOR FIELDS IN R cost ( 1 j a i,j, r i+j cos i (t s sin j (t sdt + i+j= ( 1 j b i,j, r i+j cos i (t s sin j (t sdt. i+j= Taking u = t s the functions F 1 and F 2 can be written as (2.3 where Set F 1 (r, s = coss(i a1 + I b2 sin s(i a2 I b1, F 2 (r, s = sin s(i a1 + I b2 cos s(i a2 I b1 + π, I a1 = I a1 (r = ( 1 j r i+j a i,j, cos i+1 u sin j u du, I a2 = I a2 (r = I b1 = I b1 (r = I b2 = I b2 (r = i+j= ( 1 j r i+j a i,j, cos i u sin j+1 u du, i+j= ( 1 j r i+j b i,j, cos i+1 u sin j u du, i+j= ( 1 j r i+j b i,j, cos i u sin j+1 u du. i+j= I 1 (r = I a1 (r + I b2 (r, I 2 (r = I a2 (r I b1 (r. Using symmetries the integral cos p u sin q u du is not zero if and only if p and q are even. So I 1 (r and I 2 (r are polynomials in r having all their monomials of odd degree. Moreover if n is even the degree in the variable r of the polynomials I 1 (r and I 2 (r is n 1, and if n is odd that degree is n. So their degree always is odd and equal to 2[(n 1/2] + 1. Of course we are playing with the fact that the coefficients of those polynomials can be chosen arbitrarily. It is clear that the system F 1 = F 2 = given by (2.3 is equivalent to the system ( ( ( ( I 1 (r cos s sin s sin s (2.4 = = π. I 2 (r sin s coss π coss We claim that system (2.4 has at most 2[(n 1/2] + 1 solutions providing different limit cycles of system (1.1, and that this number is reached. For proving the claim first we observe that system (2.4 is equivalent to the system (2.5 I 2 1 (r + I2 2 (r = π2, I 1 (r I 2 (r = tan s. Since the first equation of system (2.5 is a polynomial equation in the variable r 2 of degree 2[(n 1/2]+1 playing with the fact that the coefficients of the polynomials I 1 (r and I 2 (r are arbitrary, it follows that it has at most 2[(n 1/2] + 1 zeros in
6 63 J. LLIBRE, J. YU, AND X. ZHANG (,, and we can choose the coefficients a i,j, and b i,j, such that it has exactly m simple zeros r i > with m {1, 2,..., 2[(n 1/2] + 1}. There are two solutions s i and s i + π in [, 2π of the second equation for each zero r i > of the first equation of (2.5. But these two solutions only provides two different initial conditions of the same periodic orbit. In short applying Theorem 5.1 we would get at most 2[(n 1/2] + 1 limit cycles for system (1.1 if the jacobian det ( (F 1, F 2 / (r, s at (r, s = (r i, s i. Playing with the coefficients a i,j, and b i,j, we get (2.6 I 1 (r i I 1 (r i + I 2 (r i I 2 (r i, for every solution (r i, s i of system (2.5. Hence it is easy to check that (F 1 (r, s, F 2 (r, s (r, s = I 1 (r i I 1(r i + I 2 (r i I 2(r i. (r,s=(ri,s i In short the claim is proved and consequently Theorem PROOF OF THEOREM 1.2 System (1.2 restricted to z = and with ε = becomes the homogeneous polynomial differential system ẋ = y(3x 2 + y 2, ẏ = x(x 2 y 2, of degree 3 that has the non rational first integral H(x, y = (x 2 + y 2 exp ( 2x2, x 2 + y 2 as it is easy to check. Doing the transformation (x, y, z (r cos θ, r sin θ, z system (1.2 becomes ṙ = r 3 sin 2θ + ε ( cos θp + sin θq, θ = r 2 + ε 1 r( cosθq sin θp, ż = zr 2 + εr, where P = P(r cosθ, r sin θ, z, Q = Q(r cosθ, r sin θ, z and R = R(r cosθ, r sin θ, z. This system is equivalent to (3.1 where dr dθ = r sin 2θ + εf 1 + O(ε 2, dz dθ = z + εg 1 + O(ε 2, F 1 = F 1 (r cosθ, r sin θ, z = 1 2r 2 ( (cosθ + cos 3θP + (3 sin θ + sin 3θQ, G 1 = G 1 (r cosθ, r sin θ, z = 1 r 3 ( rr z(cos θq sin θp.
7 LIMIT CYCLES OF VECTOR FIELDS IN R System (3.1 ε= restricted in z = is a global center around the origin with periodic orbits (3.2 r = r e sin2 θ, z =, satisfying r(, r = r and all of them with period 2π. The fundamental solution matrix M(θ of the variational equation of the unperturbed system (3.1 ε= with respect to the periodic orbits (3.2 satisfying that M( is the identity matrix is ( e sin2 θ M(θ =. e θ We remark that it is independent of the initial condition (r,. Moreover an easy computation shows that M 1 ( M 1 (2π = ( 1 e 2π Hence from Theorem 5.1 we must estimate the zeros of the function Writing F(r = 2 P(x, y, = e sin2 θ F 1 (r e sin2 θ cosθ, r e sin2 θ sin θ, dθ. P l (x, y, Q(x, y, = where P l is a homogeneous polynomial of degree l. Then where I k = l= F(r = k= r k 2 I k,. Q l (x, y, l= e (3 ksin2 θ [(cosθ + cos 3θP k (cosθ, sin θ is a function of the coefficients of P k and Q k. +(3 sin θ + sin 3θQ k (cosθ, sin θ]dθ, By symmetry the integral I k if k is even. So, we have (3.3 F(r = 1 [(n 1/2] r v= r 2v I 2v+1. This implies that F(r can have at most [(n 1/2] positive real roots. Consequently, using Theorem 5.1 we can get at most [(n 1/2] limit cycles of system (1.2 bifurcating from the periodic orbits of system (1.2 with ǫ = in the plane z =.
8 632 J. LLIBRE, J. YU, AND X. ZHANG We shall prove that the function F(r can have m {1, 2,..., [(n 1/2]} positive real zeros for suitable choice of the coefficients of P and Q with the maximum degree n. For example set P(x, y, z =, Q(x, y, z = [(n 1/2] v= Now the function F(r in (3.3 has the I 2v+1 as follows b 2v+1 y 2v+1. I 2v+1 = b 2v+1 e 2(1 v sin2 θ (3 sin θ + sin 3θ sin 2v+1 θdθ = b 2v+1 K 2v+1. With the help of Mathematica we get that where J 2v+1 K 2v+1 = J 2v+1 / ( 2 2v Γ(2 + vγ(3 + vπ 1, [ 3 = 3(2 + vγ(3 + 2vM 2 Γ(4 + 2vM ] + v, 2 + v, 2 2v [ 5 + v, 3 + v, 2 2v 2 and Γ is the Gamma function, and M is the Kummer confluent hypergeometric function defined by M[a, b, z] = k= Γ(a + kγ(b z k Γ(aΓ(b + k k!. Using the properties of the Gamma function and the integral representation of the Kummer function, i.e., we can prove that J 2v+1 = M[a, b, z] = Γ(b Γ(b aγ(a 1 Γ(3 + 2vΓ(2 + v Γ( 1 2 Γ(3 2 + v (2 + v ], e zt t z 1 (1 t b a 1 dt, 1 e (2 2vt t 1 2v (1 t 1 2 dt. This means that I 2v+1 is always the product of b 2v+1 with a positive number depending on v. Hence in the polynomial (3.3 we always can choose the coefficients b 2v+1 conveniently in order that the polynomial can have 1, 2,..., [(n 1/2] positive roots (by the Descartes rule. This completes the proof of Theorem PROOF OF THEOREM 1.3 System (1.3 under the transformation (x, y, z (r cos θ, r sin θ, z becomes ṙ = ε ( cosθp + sin θq, θ = r 2 + ε 1 r( cosθq sin θp, ż = zr 2 + εr,
9 LIMIT CYCLES OF VECTOR FIELDS IN R where P = P(r cosθ, r sin θ, z, Q = Q(r cosθ, r sin θ, z and R = R(r cosθ, r sin θ, z. This system is equivalent to (4.1 dr dθ = ε 1 r 2(cos θp + sin θq + O(ε2, dz dθ = z + ε 1 r 3 ( rr z(cos θq sin θp + O(ε 2. System (4.1 ε= restricted in z = is a global center around the origin with periodic orbits (4.2 r = r, z =, satisfying r(, r = r and all of them with period 2π. The fundamental solution matrix M(θ of the variational equation of the unperturbed system (4.1 ε= with respect to the periodic orbits (4.2 satisfying that M( is the identity matrix is ( 1 M(θ =. e θ By the fundamental solution matrix and Theorem 5.1, to prove Theorem 1.3 it is sufficient to estimate the zeros of the function F(r = 1 r 2 Writing cosθp(r cosθ, r sin θ, + sin θq(r cos θ, r sin θ, dθ. P(x, y, = P l (x, y, Q(x, y, = where P l is a homogeneous polynomial of degree l. Then l= (4.3 F(r = 1 [(n 1/2] r where I k = v= r 2v I 2v+1 Q l (x, y, l= cos θp k (cos θ, sin θ + sin θq k (cosθ, sin θdθ, and we have used the fact that the integral I k if k is even. Hence F(r has at most [(n 1/2] positive roots. Consequently, system (1.3 can have at most [(n 1/2] limit cycles bifurcating from the periodic orbits of the z = plane when ǫ =. By choosing we get that P(x, y, z = [(n 1/2] v= I 2v+1 = a 2v+1 a 2v+1 x 2v+1, Q(x, y, z, (cos θ 2v+2 dθ.
10 634 J. LLIBRE, J. YU, AND X. ZHANG This implies that for convenient choice of a 2v+1 system (1.3 with the given P and Q can have m {1, 2,..., [(n 1/2]} limit cycles. This proves the theorem. 5. APPENDIX In this appendix we present the basic result from the averaging theory that we shall need for proving the main results of this paper. We consider the problem of the bifurcation of T periodic solutions from the differential system (5.1 x (t = F (x, t + εf 1 (x, t + ε 2 F 2 (x, t, ε, with ε = to ε sufficiently small. The functions F, F 1 : Ω R R n and F 2 : Ω R ( ε, ε R n are C 2 functions, T periodic in the variable t, and Ω is an open subset of R n. One of the main assumptions is that the unperturbed system (5.2 x (t = F (x, t, has a submanifold of periodic solutions. A solution of this problem is given using the averaging theory. For a general introduction to the averaging theory see the books of Sanders and Verhulst [11], and of Verhulst [12]. Let x(t,z be the solution of the unperturbed system (5.2 such that x(,z = z. We write the linearization of the unperturbed system along the periodic solution x(t,z as (5.3 y = D x F (x(t,z, ty. In what follows we denote by M z (t some fundamental matrix of the linear differential system (5.3, and by ξ : R k R n k R k the projection of R n onto its first k coordinates; i.e. ξ(x 1,...,x n = (x 1,...,x k. Theorem 5.1. Let V R k be open and bounded, and let β : Cl(V R n k be a C 2 function. We assume that (i Z = {z α = (α, β (α, α Cl(V } Ω and that for each z α Z the solution x(t,z α of (5.2 is T periodic; (ii for each z α Z there is a fundamental matrix M zα (t of (5.3 such that the matrix M 1 z α ( M 1 z α (T has in the right up corner the k (n k zero matrix, and in the right down corner a (n k (n k matrix α with det( α. We consider the function F : Cl(V R k ( T (5.4 F(α = ξ Mz 1 α (tf 1 (x(t,z α, tdt. If there exists a V with F(a = and det ((df/dα(a, then there is a T periodic solution ϕ(t, ε of system (5.1 such that ϕ(, ε z a as ε.
11 LIMIT CYCLES OF VECTOR FIELDS IN R Theorem 5.1 goes back to Malkin [9] and Roseau [1], for a shorter proof see [3]. ACKNOWLEDGEMENTS The first author is partially supported by a MCYT/FEDER grant number MTM C2-1 and by a CICYT grant number 25SGR 55. The second author is partially supported by NSFC grant and Shanghai Pujiang Program. The third author is partially supported by NSFC grant and NCET grant REFERENCES [1] M. Bobieński and H. Żo l adek, Limit cycles for multidimensional vector field. The elliptic case, J. Dynam. Control Syst., 9:265 31, 23. [2] M. Bobieński and H. Żo l adek, Limit cycles of three dimensional polynomial vector fields, Nonlinearity, 18:175 29, 25. [3] A. Buică, J.P. Françoise and J. Llibre, Periodic solutions of nonlinear periodic differential systems with a small parameter, Commun. Pure and Appl. Anal., 6:13 111, 26. [4] S.N. Chow and J.K. Hale, Methods of Bifurcation Thoery, Springer Verlag, New York, [5] A. Cima, J. Llibre and M.A. Teixeira Limit cycles of some polynomial differential systems in dimension 2, 3 and 4, via averaging theory, to appear in Applicable Analysis, 27. [6] C. Christopher and Chengzhi Li, Limit cycles of differential equations, Series: Advanced Courses in Mathematics, CRM Barcelona, Birkhäuser Verlag, Basel, 27. [7] J. Llibre, M.A. Teixeira and J. Torregrosa, Limit cycles bifurcating from a k dimensional isochronous center contained in R n with k n, Math. Phys. Anal. Geom., 1: , 27. [8] J. Llibre, Jiang Yu and Xiang Zhang, Limit cycles for a class of third order differential equations, to appear in Rocky Mountain J. Math., 27. [9] I.G. Malkin, Some problems of the theory of nonlinear oscillations, (Russian Gosudarstv. Izdat. Tehn.-Teor. Lit., Moscow, [1] M. Roseau, Vibrations non linéaires et théorie de la stabilité (French, Springer Tracts in Natural Philosophy, Vol 8, Springer Verlag, Berlin, [11] J.A. Sanders and F. Verhulst, Averaging Methods in Nonlinear Dynamical Systems, Applied Mathematical Sciences, Vol 59, Springer, Berlin, [12] F. Verhulst, Nonlinear Differential Equations and Dynamical Systems, Universitext, Springer, Berlin, 1991.
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