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Limit cycles in an m-piecewise discontinuous polynomial differential system

  • In this paper, I study a planar m-piecewise discontinuous polynomial differential system ˙x=y,˙y=xε(f(x,y)+gm(x,y)h(x)), which has a linear center in each zone partitioned by those switching lines, where f(x,y)=ni+j=0aijxiyj, h(x)=lj=0bjxj,aij,bjR,n,lN, and gm(x,y) with the positive even number m as the union of m/2 different straight lines passing through the origin of coordinates dividing the plane into sectors of angle 2π/m. Using the averaging theory, I provide the lower bound Lm(n,l) for the maximun number of limit cycles, which bifurcates which bifurcating from the annulus of the origin of this system.

    Citation: Ziguo Jiang. Limit cycles in an m-piecewise discontinuous polynomial differential system[J]. AIMS Mathematics, 2024, 9(2): 3613-3629. doi: 10.3934/math.2024177

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  • In this paper, I study a planar m-piecewise discontinuous polynomial differential system ˙x=y,˙y=xε(f(x,y)+gm(x,y)h(x)), which has a linear center in each zone partitioned by those switching lines, where f(x,y)=ni+j=0aijxiyj, h(x)=lj=0bjxj,aij,bjR,n,lN, and gm(x,y) with the positive even number m as the union of m/2 different straight lines passing through the origin of coordinates dividing the plane into sectors of angle 2π/m. Using the averaging theory, I provide the lower bound Lm(n,l) for the maximun number of limit cycles, which bifurcates which bifurcating from the annulus of the origin of this system.



    One of the main topics in the qualitative theory of differential equations is to determine the cyclicity of a given differential system. The cyclicity refers to the maximum number of limit cycles that the system possesses. The well-known second part of Hilbert's 16th problem (proposed by David Hilbert in 1900) is concerned with the cyclicity of planar polynomial systems of a specific degree. Over the past few decades, several results [1,2,3] have been obtained regarding the cyclicity of planar polynomial systems of degrees 2 and 3.

    Recently, attention has been focused on discontinuous differential systems (see [4]). The problem of cyclicity in discontinuous differential systems has been re-examined. In 2001, Coll, Gasull, and Prohens [5] conducted a comprehensive investigation on switching systems, including FF-type, FP-type, and PP-type, for degenerate Hopf bifurcations near a weak focus. In the FF-type case, they computed five Lyapunov quantities for a switching quadratic system and proved that at least four limit cycles can bifurcate from the weak focus O:(0,0). Subsequently, Gasull and Torregrosa [6] discovered five limit cycles for a switching quadratic system. For the PP-type case, Novaes and Silva [7] provided a general recursive formula for the Lyapunov coefficients for monodromic tangential singularities in Filippov vector fields, which encompasses the PP-type singularities studied in [5]. In 2010, Han and Zhang [8] proved that a planar switching linear system may have two limit cycles and they conjectured that such systems could have at most two limit cycles. However, in 2012, Huan and Yang [9] refuted this conjecture by presenting an example where three limit cycles could be numerically observed. In the same year, Llibre and Ponce [10] analytically proved the existence of these numerically observed limit cycles. Since then, many other works have provided examples with three limit cycles (see, for instance, [11,12,13]). In 2013, Llibre, Ord'o nez, and Ponce [14] extended some techniques used to demonstrate the existence and uniqueness of limit cycles, originally stated for smooth vector fields, to continuous piecewise-linear differential systems. They obtained new results for systems with three linearity zones without symmetry and with one equilibrium point in the central region. In 2015, Chen, Romanovski, and Zhang [15] introduced the fractional order for weak foci in FF-type switching systems and proved that the cyclicity of these FF-type switching systems is at least five for weak foci and eight for centers, respectively.

    The averaging theory, as proposed in the classical work in [16], is a well-established tool for studying the existence of periodic solutions in nonlinear smooth dynamical systems. Building upon this theory, Llibre, Novaes, and Teixeira [17] extended its applicability to non-smooth systems with two zones in 2015. In 2017, Llibre, Novaes, and Camila [18] further expanded the averaging theory to encompass discontinuous differential systems with multiple zones. In their work, they considered discontinuous differential systems in R2 that were defined in two half-planes separated by a straight line. By employing the averaging theory, Chen, Llibre, and Zhang [19] established that the cyclicity of a Hopf bifurcation in such systems is at least 5.

    Efforts have also been made to determine the number of limit cycles bifurcated from the periodic annulus of a linear center under a switching polynomial Liénard perturbation

    ˙x=y,˙y=xε(f(x)y+sgn(y)(κ1x+κ2)), (1.1)

    where f is a polynomial of degree nN and κ1,κ2R, sgn(y) is the sign of y. In [20], Martins and Mereu studied the number of limit cycles of system (1.1), and obtained that for any n1 the cyclicity of the differential system (1.1), is [n2]+1. In 2023, Tiago M.P. De Abreu and Ricardo M. Martins[21] considered the piecewise smooth system of differential equations ˙x=y, ˙y=xε(f(x)y+sgn(y)g(x)), where f(x) and g(x) be real polynomials of degrees n1 and m1, respectively. Using the averaging method, concluded that for sufficiently small values of |ε|, a lower bound for the maximum number of limit cycles in this system is [n2]+[m2]+1.

    In recent years, the interest on this topic was extended to the m-piecewise discontinuous polynomial Liénard differential system

    ˙x=y+sgn(gm(x,y))f(x),˙y=x, (1.2)

    where f(x)=a0+a1x++anxn and the zero set of the function gm(x,y) with positive even number m is the union of m/2 different straight lines passing through the origin of coordinates dividing the plane into sectors of angle 2π/m. This system is commonly encountered in many applications such as control theory (see [4]), economics (see [22]), mechanical systems (see [23]), and nonlinear oscillations (see [24]). In [25], Llibre and Teixeira proved that the cyclicity L(m,n) of the system (1.2) satisfies

    L(0,n)[n12],L(2,n)[n2],L(4,n)[n12],

    where [z] denotes the integer part of z, i.e., the greatest integer less than or equal to z, and conjectured that

    L(m,n)[12(nm22)],

    for any even m6. In [26], Dong and Liu proved this conjecture. In [27], Novaes showed that if the discontinuity set {(x,y):gm(x,y)=0} consists of m rays starring at the origin whose slopes can be taken freely, many other limit cycles can appear; then, L(m,n)n. Finally, it has been proven in [28] that the maximum number of limit cycles of such a planar switching linear system is indeed uniformly bounded by 8.

    In this paper, I study the number of limit cycles that can bifurcate from the periodic orbits of the linear center ˙x=y,˙y=x perturbed inside the following m-piecewise discontinuous polynomial differential system

    ˙x=y,˙y=xε(f(x,y)+gm(x,y)h(x)), (1.3)

    where

    f(x,y)=ni+j=0aijxiyj,h(x)=lj=0bjxj,aij,bjR,n,lN.

    I assume that gm is a sign-switching function on the (x,y)-plane partitioned equally by m/2 lines k:y=tan(2kπ/m)x, k=0,...,m/21 such that gm(x,y)=0 on those k-lines and gm(x,y)=(1)k if (x,y) lies in the angular region between k and k+1. For convenience, I call system (1.3) an m-piecewise discontinuous generalized Liénard systems of degree (n,l) if aij0 for some i,j with i+j=n and bl0. Let Lm(n,l) denote lower bound for the maximun number of limit cycles which bifurcating from the annulus of the origin of this system. I will prove the following.

    Theorem 1.1. For the system (1.3), Lm(n,l) satisfies

    Lm(n,l){[n12],if 4m,[n12]<m44,[l12]m84,[n12]+[l12]m84,if 4m,[n12]<m44,[l12]m44,max{[n12],[l12]},if 4m,[n12]m44,[n12],if 4m,[l2]m64,[n12]+[l2]m64,if 4m,[l2]m24, (1.4)

    for any even number m2.

    Theorem 1.1 includes the result of Theorem 1.1 of [26] and the result of Corollary 2 of [20]. In fact, in the case that f(x,y)=0, system (1.3) is equivalent to system (1.2) in [26]. From Theorem A, if 4m,[(l1)/2](m4)/4 or 4m,[l/2](m2)/4, then system (1.3) can has at least [(l(m2)/2)/2] limit cycles, i.e., the same result of Theorem 1.1 in [26]. In the case that f(x,y)=i=ni=0aixiy,m=2,h(x)=κ1x+κ2, system (1.3) is equivalent to system (1.1) in [20]. By Theorem 1.1, system (1.3) can has at least [n/2]+1 limit cycles, i.e., the same result of Corollary 2 in [20].

    In this section, I will introduce some preliminary results on the averaging theory and the zeros of function, which will be applied to studying the m-piecewise discontinuous polynomial differential equations (1.3). For the proof, refer the reader to [16,18].

    Let m>1 be a positive integer, αm=2π and α=(α0,α1,,αm1) is a m-tuple of angles such that 0=α0<α1<<αm1<αm=2π. For j=1,2,,m let Lj be the intersection between the open bounded neighborhood UR2 of the origin with the ray starting at the origin and passing through the point (cosαj,sinαj), and take Σ=mj=1Lj. Note that Σ splits the set UΣR2 in m disjoint open sectors. Denote the sector delimited by Lj and Lj+1, in counterclockwise sense, by Cj, for j=1,2,,m.

    Let D be an open bounded subset of R+ and S1R(2πZ), consider the following differential equation

    r(θ)=ki=0εimj=1χ[αj1,αj](θ)Fji(θ,r)+εk+1mj=1χ[αj1,αj](θ)Rj(θ,r,ε), (2.1)

    where Fji:S1×DR and Rj:R1×D×(ε0,ε0)R(i=0,1,,k,j=1,2,,m) are both Ck+1 functions and 2π-periodic in the first variable. The characteristic function χJ(θ) of an interval J is defined as

    χJ(θ)={1,if θJ,0,if θJ.

    Then system (2.1) becomes

    r(θ)=ki=0εiFi(θ,r)+εk+1R(θ,r,ε), (2.2)

    where

    Fi(θ,r)=mj=1χ[αj1,αj](θ)Fji(θ,r),   i=0,1,,k,R(θ,r,ε)=mj=1χ[αj1,αj](θ)Rj(θ,r,ε).

    Clearly, system (2.2) is a periodic system having a discontinuity set =m1j=0{θ=αj}. Denote by φ(θ,ρ) the solution of the system r(θ)=F0(θ,r) such that φ(0,ρ)=ρ. From now on, system r(θ)=F0(θ,r) will be called unperturbed system. I need the following hypothesis,

    (H) For each ρD the solution φ(θ,ρ) of the unperturbed system is well defined for all θS1, 2π-periodic, and reaches Σ only at crossing points.

    Then, let yi:R×DR for i=1,2,,k, be defined recurrently by

    y1(θ,ρ)=θ0F1(s,φ(s,ρ))ds,yi(θ,ρ)=i!θ0(Fi(s,φ(s,ρ))+il=1Sl1b1!b2!2!b2bl!l!blLFi1(s,φ(s,ρ))lj=1yj(s,ρ)bj)ds,i=2,,k, (2.3)

    where LG(ϕ,ρ) denotes the L-th order derivative of G with respect to ρ and Sl is the set of all l-tuples of non-negative integers (b1,b2,,bl) satisfying b1+2b2++lbl=l, and L=b1+b2++bl. Thus, as shown in [18], I can define fi:DR such that

    fi(ρ):=yi(2π,ρ)i!, (2.4)

    called the i-th order averaged function.

    Lemma 2.1. (Theorem 1 of [18]) Assume that for some l{1,2,,k} the functions defined in (2.4) satisfy fs=0 for s=1,2,,l1 and fl0. If there exists ρ such that fl(ρ)=0 and fl(ρ)0, then for |ε|0 sufficiently small there exists a 2π-periodic solution r(θ,ε) of system (2.2) such that r(0,ε)ρ when ε0.

    I recall the Descartes Theorem about the number of zeros of a real polynomial. For a proof, see pages 81-83 of book [29].

    Descartes Theorem. Consider the real polynomial p(x)=ai1xi1+ai2xi2++airxir, where r>1 and 0i1<i2<<ir are all integers and the coefficients ai1,,air do not vanish simultaneously. If coefficients of p have m variations of sign, i.e., there are m consecutive pairs aij and aij+1, j{1,...,r}, such that aijaij+1<0, then p(x) has at most m positive real roots. Moreover, it is always possible to choose the coefficients of p(x) in such a way that p(x) has exactly r1 positive real roots.

    In order to obtain the simple zeros of a real polynomial, I need

    Lemma 2.2. (Lemma 2.1 of [30]) Consider p+1 linearly independent analytical functions fi:UR, i=0,1,,p, where UR is an interval.

    (1) Given p arbitrary values xiU,i=1,2,,p, there exist p+1 constants Ci,i=0,2,,p such that

    f(x)=pi=0Cifi(x), (2.5)

    is not the zero function and f(xi)=0 for i=1,2,,p.

    (2) Furthermore, there exist f(x) in (2.5) such tant it has at least p simple zeroes in U.

    Using the polar coordinates transformation x=rcosθ,y=rsinθ and taking θ as the new variable, I change system (1.3) into the following equivalent equation

    drdθ=εF(θ,r)+O(ε2), (3.1)

    where

    F(θ,r)=f(rcosθ,rsinθ)sinθ+gm(rcosθ,rsinθ)h(rcosθ)sinθ,

    and

    f(rcosθ,rsinθ)=ni+j=0aijri+jcosiθsinjθ,gm(rcosθ,rsinθ)={0,if θ=2kπm,(1)k,if θ(2kπm,2(k+1)πm),k=0,1,,m1,h(rcosθ)=lj=0bjrjcosjθ.

    Clearly, Eq (3.1) is of the form (2.2) with k=1,F0(θ,r)=0,φ(θ,r)=r and F1(θ,r)=F(θ,r). One can check that (3.1) satisfies hypothesis (H). Thus, as in (2.4), I can compute the first order averaged function of the system (3.1)

    f1(r)=2π0F(θ,r)dθΔ=I1+I2,

    where

    I1=ni+j=0aijri+j2π0cosiθsinj+1θdθ,I2=lj=0bjrj2π0gm(rcosθ,rsinθ)cosjθsinθdθ.

    First, I compute I1.

    Obviously, 2π0cos2s+1θsinj+1θdθ=0, 2π0cosiθsin2t+1θdθ=0, so, I have

    Proposition 3.1.

    I1=[n12]k=0(ki=0a2i,2(ki)+1c2i,2(ki)+1)r2k+1Δ=[n12]k=0Akr2k+1,

    where c2i,2(ki)+1=2π0cos2iθsin2(ki)+2θdθ=(2k2i+2)!!(2i)!!(2k+2)!!2π>0 (i=0,1,,k) is a positive constant and Ak=ki=0a2i,2(ki)+1c2i,2(ki)+1 can be chosen arbitrarily.

    Second, I compute I2. In order to simplify the notation, I define the following function:

    dm,j=2π0gm(rcosθ,rsinθ)cosjθsinθdθ.

    Let v=eπki,i=1, by Lemma 2.1 of [26], I have

    Lemma 3.1. If j=(2p+1)k, p is an integer, then

    1+(vj)+(vj)2++(vj)2k1=2k;

    and if j is other integer, then

    1+(vj)+(vj)2++(vj)2k1=0.

    Using Lemma 3.1, I have

    Lemma 3.2. For tN, the following results hold:

    (i) if m=4s,s=1,2,, then d4s,2t=0 for all t, d4s,2t+1=0 for 0t<s1 and d4s,2t+1>0 for ts1;

    (ii) if m=4s+2,s=0,1,2,, then d4s+2,2t+1=0 for all t, d4s+2,2t=0 for 0t<s and d4s+2,2t>0 for ts.

    Proof. (ⅰ) If m=4s,s=1,2,, then

    d4s,j=2π0g4s(rcosθ,rsinθ)cosjθsinθdθ=4s1k=0(k+1)π2skπ2s(1)kcosjθsinθdθΔ=J1+J2+J3+J4,

    where

    Ji=is1k=(i1)s(1)k(k+1)π2skπ2scosjθsinθdθ,   i=1,2,3,4.

    Let θ=φ+π, have

    J3=3s1k=2s(1)k(k+12s)π2s(k2s)π2scosj(φ+π)sin(φ+π)dφ=(1)j+1s1k=0(1)k(k+1)π2skπ2scosjφsinφdφ=(1)j+1J1,

    and in the same manner, have

    J4=(1)j+1J2,

    moreover,

    d4s,j=(1+(1)j+1)(J1+J2).

    Hence, if j=2t,tN, then d4s,2t=0. Let j=2t+1,tN, and let

    w=eπ2si,  ˉw=eπ2si=w1,  Cn,k=n!k!(nk)!.

    So,

    wk=ekπ2si,  ˉwk=ekπ2si=wk,

    and

    coskπ2s=wk+wk2,  cos(k+1)π2s=wk+1+w(k+1)2.

    Hence

    cos2t+2(k+1)π2s=(wk+1+w(k+1)2)2t+2=122t+22t+2i=0C2t+2,i(wk+1)i(w(k+1))2t+2i=122t+22t+2i=0C2t+2,i(w2i2t2)k+1,cos2t+2kπ2s=122t+22t+2i=0C2t+2,i(w2i2t2)k.

    Thus, by Lemma 3.1, I obtain

    d4s,2t+1=4s1k=0(k+1)π2skπ2s(1)kcos2t+1θsinθdθ=4s1k=0(1)k+12t+2(cos2t+2(k+1)π2scos2t+2kπ2s)=1(t+1)22t+34s1k=0(2t+2i=0C2t+2,i(w2i2t2)k+1+2t+2i=0C2t+2,i(w2i2t2)k)=1(t+1)22t+3(2t+2i=0C2t+2,i4s1k=0(w2i2t2)k+1+2t+2i=0C2t+2,i4s1k=0(w2i2t2)k)=1(t+1)22t+3(2t+2i=0C2t+2,i(w2i2t2)4s1k=0(w2i2t2)k+2t+2i=0C2t+2,i4s1k=0(w2i2t2)k)=s(t+1)22t0i2t+2,it1s=2p+1,pZC2t+2,i=s(t+1)22t(t+1)(2p+1)st+1C2t+2,(2p+1)s+t+1=s(t+1)22t10(2p+1)st+1C2t+2,(2p+1)s+t+1.

    If 0t<s1, then there does not exist pZ such that 0(2p+1)st+1. Thus,

    0(2p+1)st+1C2t+2,(2p+1)s+t+1=0,

    and this implies d4s,2t+1=0.

    If ts1, then

    d4s,2t+1=s(t+1)22t10(2p+1)st+1C2t+2,(2p+1)s+t+1>0.

    (ⅱ) If m=4s+2,s=0,1,2,, then

    d4s+2,j=2π0g4s+2(rcosθ,rsinθ)cosjθsinθdθ=4s+1k=0(k+1)π2s+1kπ2s+1(1)kcosjθsinθdθΔ=K1+K2,

    where

    K1=2sk=0(1)k(k+1)π2s+1kπ2s+1cosjθsinθdθ,K2=4s+1k=2s+1(1)k(k+1)π2s+1kπ2s+1cosjθsinθdθ.

    Let θ=φ+π, have

    K2=4s+1k=2s+1(1)k(k2s)π2s+1(k2s1)π2s+1cosj(φ+π)sin(φ+π)dφ=(1)j+12sk=0(1)k+1(k+1)π2s+1kπ2s+1cosjφsinφdφ=(1)jK1,

    so, d4s+2,j=(1+(1)j)K1. Hence, if j=2t+1,tN, then d4s+2,2t+1=0. Let j=2t,tN. Now, take

    w=eπ2s+1i,  ˉw=eπ2s+1i=w1.

    Hence

    coskπ2s+1=wk+wk2,  cos(k+1)π2s+1=wk+1+w(k+1)2,

    and

    cos2t+1(k+1)π2s+1=(wk+1+w(k+1)2)2t+1=122t+12t+1i=0C2t+1,i(wk+1)i(w(k+1))2ti+1=122t+12t+1i=0C2t+1,i(w2i2t1)k+1,cos2t+1kπ2s+1=122t+12t+12i=0C2t+1,i(w2i2t1)k.

    So, by Lemma 3.1, the following equalities hold:

    d4s+2,2t=4s+1k=0(k+1)π2s+1kπ2s+1(1)kcos2tθsinθdθ=1(2t+1)22t+1(2t+1i=0C2t+1,i4s+1k=0(w2i2t1)k+1+2t+1i=0C2t+1,i4s+1k=0(w2i2t1)k)=1(2t+1)22t+1(2t+1i=0C2t+1,i(w2i2t1)4s+1k=0(w2i2t1)k+2t+1i=0C2t+1,i4s+1k=0(w2i2t1)k)=2s+1(2t+1)22t20i2t+1,2i2t12s+1=2p+1,pZC2t+1,i=2s+1(2t+1)22t2(2t+1)(2p+1)(2s+1)2t+1C2t+1,((2p+1)(2s+1)+2t+1)/2=2s+1(2t+1)22t30(2p+1)(2s+1)2t+1C2r+1,((2p+1)(2s+1)+2t+1)/2=2s+1(2t+1)22t30pts2s+1C2t+1,((2p+1)(2s+1)+2t+1)/2.

    If 0t<s, then there does not exist pZ so that 0pts2s+1, thus,

    0pts2s+1C2t+1,((2p+1)(2s+1)+2t+1)/2=0,

    and this implies d4s+2,2t=0.

    If ts, then

    d4s+2,2t=2s+1(2t+1)22t30pts2s+1C2t+1,((2p+1)(2s+1)+2t+1)/2>0.

    Hence, the Lemma 3.1 is proved.

    Hence, according to Lemma 3.2, have

    Proposition 3.2.

    I2={[l12]k=m44b2k+1dm,2k+1r2k+1,4m,[l2]k=m24b2kdm,2kr2k,4m,

    where dm,2k+1>0(4m,k=(m4)/4,,[(l1)/2]),dm,2k>0(4m,k=(m2)/4,,[l/2]).

    From Propositions 3.1 and Propositions 3.2, have

    Proposition 3.3. The first order averaged function of the system (3.1) is

    f1(r)={[n12]k=0Akr2k+1+[l12]k=m44b2k+1dm,2k+1r2k+1,4m,[n12]k=0Akr2k+1+[l2]k=m24b2kdm,2kr2k,4m. (3.2)

    Now, I am going to prove Theorem 1.1 and divide it into two cases:

    Let m=4s,s=1,2,. From Proposition 3.1, the first order averaged function of the system (3.1) is

    f1(r)=[n12]k=0Akr2k+1+[l12]k=m44b2k+1d4s,2k+1r2k+1. (3.3)

    If [n12]<m44 and [l12]m84, the term [l12]k=m44b2k+1d4s,2k+1r2k+1 does not appear, the monomials which appear in the polynomial f1(r) in (3.3) are the following N+1 monomials

    r,r3,,r2[n12]+1,

    where N=[n12].

    If [n12]<m44 and [l12]m44, the monomials which appear in the polynomial f1(r) in (3.3) are the following N+1 monomials

    r,r3,,r2[n12]+1,rm21,,r2[l12]+1,

    where N=[n12]+[l12]m84.

    If [n12]m44, the monomials which appear in the polynomial f1(r) in (3.3) are the following N+1 monomials

    r,r3,,r2N+1,

    where N=max{[n12],[l12]}.

    By Descartes Theorem and Lemma 2.2, the polynomial f1(r) in (3.3) has exactly N simple positive real roots. Hence, by Lemma 2.1, if m=4s,s=1,2,, then for ε>0 sufficiently small the system (3.1) has N limit cycles, i.e.,

    Lm(n,l){[n12],if[n12]<m44,[l12]m84,[n12]+[l12]m84,if[n12]<m44,[l12]m44,max{[n12],[l12]},if[n12]m44. (3.4)

    Let m=4s+2,s=0,1,2,. From Proposition 3.1, the first order averaged function of the system (3.1) is

    f1(r)=[n12]k=0Akr2k+1+[l2]k=m24b2kd4s+2,2kr2k. (3.5)

    If [l2]m241, then d4s+2,2k=0,k=0,1,2,,[l2]. So, the term [l2]k=tb2kd4s+2,2kr2k does not appear, the monomials which appear in the polynomial f1(r) in (3.5) are the following N+1 monomials

    r,r3,,r2[n12]+1,

    where N=[n12].

    If [l2]m24, the monomials which appear in the polynomial f1(r) in (3.5) are the following N+1 monomials

    r,r3,,r2[n12]+1,rm22,,r2[l2],

    where N=[n12]+[l2]m64.

    By Descartes Theorem and Lemma 2.2, the polynomial f1(r) in (3.5) has exactly N simple positive real roots. Hence, by Lemma 2.1, if m=4s+2,s=0,1,2,, then for ε>0 sufficiently small the system (3.1) has N limit cycles, i.e.,

    Lm(n,l){[n12],if [l2]m64,[n12]+[l2]m64,if [l2]m24. (3.6)

    As discussed in the above two parts, for any even number m2, the cyclicity Lm(n,l) of system (3.1) satisfies

    Lm(n,l){[n12],if 4m,[n12]<m44,[l12]m84,[n12]+[l12]m84,if 4m,[n12]<m44,[l12]m44,max{[n12],[l12]},if 4m,[n12]m44,[n12],if 4m,[l2]m64,[n12]+[l2]m64,if 4m,[l2]m24.

    The proof of Theorem 1.1 is completed.

    Remark 3.1. If f(x,y)=0, then (3.2) can be simplified as

    f1(r)={[l12]k=m44b2k+1dm,2k+1r2k+1,4m,[l2]k=m24b2kdm,2kr2k,4m. (3.7)

    Remark 3.2. (ⅰ) If f(x,y)=0 and m=4s,s=1,2,, from Remark 3.1 and Theorem 1.1, for ε sufficiently small the system (3.1) has at least L(m,l) limit cycles, where as defined in [25],

    L(m,l)=[l12]m44=[12(lm22)].

    So, those are the results conjectured in [25].

    (ⅱ) If f(x,y)=0 and m=4s+2,s=0,1,2,, from Remark 3.1 and Theorem A, for ε sufficiently small the system (3.1) has at least L(m,l) limit cycles, where as defined in [25],

    L(m,l)=[l2]m24=[12(lm22)].

    So, those are the results conjectured in [25].

    (ⅲ) If f(x,y)=0, from (i) (ii), for ε sufficiently small the system (3.1) has at least [12(lm22)] limit cycles for any positive even number m. So, those are the results of Theorem 1.1 in [26].

    Remark 3.3. If f(x,y)=ni=0aixiy,m=2,h(x)=κ1x+κ2, from (3.6), for ε sufficiently small the system (3.1) has [n2]+1 limit cycles. So, it's the result of Corollary 2 in [20].

    Example 4.1. Consider the following system

    ˙x=y,˙y=x0.02(2y+y3+x2y10sgn(xy)πx), (4.1)

    where, ε=0.02,m=4,n=3,l=1. The first order averaged function f1(r) of the system (4.1) is

    f1(r)=πr322πr.

    So, f1(r) has unique positive real root r1=22 and f1(r1)=44π>0. The system (4.1) has a stable limit cycle, as shown in Figure 1. Then L4(3,1)max{[n12],[l12]}=1.

    Figure 1.  The phase diagram of system (4.1).

    Example 4.2. Consider the following system

    ˙x=y,˙y=x0.17(6y+y3+x2y+sgn(y)π(1+x)), (4.2)

    where, ε=0.17,m=2,n=3,l=1. The first order averaged function f1(r) of the system (4.2) is

    f1(r)=πr36πr+4π.

    So, f2(r) has two positive real roots r1=31,r2=2 and f1(r1)=6(13)π<0,f1(r2)=6>0. The system (4.2) has two limit cycles, as shown in Figure 2.

    Figure 2.  The phase diagram of system (4.2).

    Then L2(3,1)[n12]+[l2]m64=2.

    In this paper, I discuss the lower bound of the maximum number of limit cycles for a class of m-piecewise discontinuous polynomial systems and obtain the lower bound of the maximum number of limit cycles for this class of differential systems. This result generalizes the results of the existing literature.

    The author declares that he has not used Artificial Intelligence (AI) tools in the creation of this article.

    The author expresses sincere gratitude to Professor Weinian Zhang of Sichuan University for providing invaluable guidance throughout the research process. Additionally, this work was supported by the Natural Science Foundation of China (No. 11861001).

    The author declares no conflicts of interest in this paper.



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