Research article

Reducibility for a class of almost periodic Hamiltonian systems which are degenerate

  • Received: 07 June 2022 Revised: 01 October 2022 Accepted: 06 October 2022 Published: 31 October 2022
  • MSC : 37J40, 34C27

  • This paper studies the reducibility for a class of Hamiltonian almost periodic systems that are degenerate in a small perturbation parameter. We prove for most of the sufficiently small parameter, the Hamiltonian system is reducible by a symplectic almost periodic mapping.

    Citation: Jia Li, Xia Li, Chunpeng Zhu. Reducibility for a class of almost periodic Hamiltonian systems which are degenerate[J]. AIMS Mathematics, 2023, 8(1): 2296-2307. doi: 10.3934/math.2023119

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  • This paper studies the reducibility for a class of Hamiltonian almost periodic systems that are degenerate in a small perturbation parameter. We prove for most of the sufficiently small parameter, the Hamiltonian system is reducible by a symplectic almost periodic mapping.



    Definition 1.1. If f(t)=L(ω1t,ω2t,,ωrt) with θj=ωjt,j=1,2,r, and L(θ1,θ2,,θr) is 2π periodic with respect to all θj, we say a function f is quasi-periodic with frequencies ω=(ω1,ω2,,ωr). Further, if L(θ)(θ=(θ1,θ2,,θr)) is analytic on Dρ={θCr| |Imθj|ρ,j=1,2,,r}, we say f(t) is analytic quasi-periodic on Dρ. The norm of f on Dρ is defined as ||f||ρ=supθDρ|L(θ)|.

    Definition 1.2. If pij(t)(i,j=1,2n) are all analytic quasi-periodic on Dρ, we say a matrix function P(t)=(pij(t))1i,jn is analytic quasi-periodic on Dρ.

    Define the norm of the matrix P by Pρ=max1innj=1pijρ. Obviously, P1P2ρ≤∥P1ρP2ρ. For simplicity, if the matrix P is constant, denote P∥=∥Pρ.

    For almost periodic Hamiltonian systems, we use notations and definitions of finite spatial structure [1].

    Definition 1.3. Assume τ is a family of subsets of N and N is a natural number set. If τ fulfills (i) ΛτΛ=N; (ii) if Λ1,Λ2τ, then Λ1Λ2τ; (iii) ϕτ, where ϕ is an empty set, we say (τ, []) is a finite spatial structure. Moreover, [] is called a weight function on τ if [ϕ] = 0 and [Λ1Λ2][Λ1]+[Λ2].

    Definition 1.4. Assume k=(k1,k2,)Z. Define the support of k by suppk={iki0}. Denote |k|=i=1|ki|. The weight of its support is defined as [k]=infsuppkΛτ[Λ].

    Definition 1.5. If P(t)=ΛτPΛ(t), where PΛ(t) is a quasi-periodic matrix with frequencies ωΛ={ωi|iΛ}, we say P(t) is an almost periodic matrix with weighted spatial structure (τ, []). In the context of integer modulus, frequencies ω of Q(t) is the the biggest subset of ωΛ.

    Definition 1.6. Denote P(t)=ΛτPΛ(t). When m>0, ρ>0, |||P|||m,ρ=Λτem[Λ]||PΛ(t)||ρ (see [1]) is defined as a weighted norm of P(t). Clearly, for m>0, ρ>0, ||P(t)||ρ|||P(t)|||0,ρ|||P(t)|||m,ρ.

    If the quasi-periodic equation

    ˙x=B(t)x,xRn, (1.1)

    by a non-sigular mapping x=ψ(t)y, where ψ(t)1 and ψ(t) are bounded and quasi-periodic, (1.1) can become

    ˙y=Cy

    with the matrix C is constant, we call (1.1) is reducible. When the matrix B(t) is periodic, the famous Floquent theorem tells us by a (double-)periodic transformation, ˙x=B(t)x is reducible. However, for the quasi-periodic situation it is not true. Under some "full spectrum" conditions, the authors [2] obtained the quasi-periodic system (1.1) is reducible. For linear systems, the authors in [3] studied the quasi-periodic system

    ˙x=(A+εQ(t))x,xRn, (1.2)

    where A is an n×n constant matrix with different eigenvalues λ1,λ2,,λn. If non-degeneracy conditions

    ddε(ˉλi(ε)ˉλj(ε))|ε=00,ij, (1.3)

    and non-resonance conditions k,ω1+λiλj∣≥α0kτ are satisfied, where kZr{0},i,j=1,2,,n, α0>0 is a small constant, τ>r1, ˉλi(ε)(i=1,2,,n) are eigenvalues of A+εˉQ and ˉQ is the average of Q(t), for εE with the nonempty Cantor subset E, (1.2) is reducible.

    In [4], ˉλi(ε)ˉλj(ε) are called degenerate if non-degeneracy conditions (1.3) do not hold. The authors [4] considered this degenerate case. They proved a similar result under weaker non-degeneracy conditions.

    Previously, the reducibility for analytic quasi-periodic systems were mainly considered. The finitely smooth case was considered in [5].

    In KAM theorems, non-degeneracy conditions are always necessary. But when the hamiltonian system is two degrees of freedom, a special result [6] is obtained. Without any non-degeneracy condition, the authors [7] obtained the reducible result for the linear two-dimensional quasi-periodic system depending on a small parameter analytically. For the case that depends on the small parameter smoothly, there is a similar result [8]. Without any non-degeneracy condition, the authors [9] obtained the reducible result for the nonlinear two-dimensional quasi-periodic system. Recently, for the two dimensional almost periodic system, we also obtain a similar result in [10].

    For nonlinear quasi-periodic systems, the authors [11] studied the following system

    ˙x=(A+εQ(t,ε))x+εg(t,ε)+h(x,t,ε), (1.4)

    where the matrix A is constant and h is O(x2). If non-degeneracy conditions and non-resonance conditions are satisfies, using an analogous way as [3], the system (1.4) is reducible. When the system (1.4) becomes the hamiltonian system with multiple eigenvalues, we obtain an analogous result in [12].

    In [13], under non-resonance and non-degeneracy conditions, Xu further considered the reducibility for the almost periodic system.

    Motivated by [1,4,13], here we consider the reducibility for the higher dimensional Hamiltonian almost periodic system under weaker non-degeneracy conditions, which is called degenerate in [4].

    Here non-resonance conditions are presented by so called approximation function. If Δ:[1,+)[1,+), Δ(1)=1,

    logΔ(t)t0,1t,

    and

    1logΔ(t)t2dt<+,

    we say an increasing function Δ(t) is an approximation function [1]. obviously, when Δ(t) is an approximation function, so is Δ4(t).

    Let

    Γ(ϱ)=supt0(Δ3(t)eϱt),ψ(ϱ)=12infϱ0+ϱ1+ϱn+ϱv=1(Γ(ϱv))(32)(v+1).

    There exists a sequence ˉϱ1ˉϱ20, such that v=0ˉϱv=ϱ and ψ(ϱ)=12v=0(Γ(ˉϱv))(32)(v+1). For the details, see [1].

    Suppose ω=(ω1,ω2,) is frequencies of Q(t), λ1,λ2,,λ2n are the different eigenvalues of A, Δ(t) is an approximation function that fulfills

    kZ1Δ(|k|)Δ([k])<+. (1.5)

    For Theorem 1.1 of this paper, non-resonance conditions are

    k,ω1λi+λj∣≥αΔ(|k|)Δ([k]),kZ{0},i,j=1,2,,2n. (1.6)

    Since [1], when we choose Δ(t) which satisfies (1.5) and [Λ]=1+iΛlogr(1+|i|)(r>2), there exists ω=(ω1,ω2,) [1] which fulfills non-resonance conditions (1.6). The following theorem is the main result of this paper.

    Theorem 1.1. Consider the linear Hamiltonian system

    ˙x=(A+εQ(t,ε))x,xR2n, (1.7)

    where A=diag(λ1,λ2,,λ2n) is a 2n×2n constant Hamiltonian matrix with λiλj, ij, 1i,j2n, and λp+n=λp, p=1,2,,n. Suppose a small parameter ε(0,ε0), Q(t,ε)=ΛτQΛ(t,ε) is Hamiltonian analytic almost periodic in t with frequencies ω=(ω1,ω2,) on Dρ and analytic in ε.

    Assume

    (A1) (non-resonance conditions) The frequencies ω=(ω1,ω2,) satisfies

    k,ω1λi+λj∣≥αΔ(|k|)Δ([k]) (1.8)

    for kZ{0}, 1i,j2n, where α>0 is a small constant.

    (A2) Let ˉqii be the average of qii(t) and ˉR0=diag(ˉq11,ˉq22,,ˉq2n,2n). Assume when ji, ε(ˉqjjˉqii) satisfies one of the following forms:

    μ1εl1+o(εl1),μ2εl2+o(εl2),,μpεlp+o(εlp),

    where μi0, i=1,2,,p, 1l1<l2<<lp, and o(εl) is of order smaller than εl as ε0.

    (A3) There exists m>0 satisfying |||Q(t,ε)|||m,ρ<+. Then for ε˜E, there exists an analytic symplectic almost periodic mapping x=ϕ(t,ε)y, where ϕ(t,ε) and Q(t,ε) have the same spatial structure and frequencies, such that (1.7) becomes the Hamiltonian system

    ˙y=A(ε)y,yR2n, (1.9)

    where ˜E(0,ε0) is a non-empty Cantor subset of positive Lebesgue measure satisfying meas((0,ε0)˜E)=o(ε0) when ε00, and a constant matrix A is Hamiltonian.

    Remark 1: We understand the smoothness of the function in ε for Cantor set ˜E in the sense of Whitney [14].

    Remark 2: Generally, Q depends on ε. Sometimes this dependence is not shown explicitly for simplicity.

    Remark 3: If α is small enough and λ=(λ1,λ2,,λ2n) is given, by [1], there exists ωR satisfying (1.8).

    Remark 4: Now the Hamiltonian system is

    ˙x=JS(t,ε)x=(A+εQ(t,ε))x,xR2n,

    where

    J=(0InIn0).

    Since it is the Hamiltonian system, there exists a symmetric matrix S(t,ε) such that JS(t,ε)=A+εQ(t,ε).

    Remark 5: In [4], the degenerate case is also the condition (A2). However, it is the quasi-periodic case for [4] and it is the almost periodic case for this paper.

    To prove Theorem 1.1, in this section we formulate some lemmas which will be used in the next section. Below c>0 indacate a constant.

    Lemma 2.1. Suppose D(t) and G(t) are almost periodic matrices with the same spatial structure and frequencies. If |||D(t)|||m,ρ,|||G(t)|||m,ρ<+, then DG is also an almost periodic matrix with the same spatial structure and frequencies as D and G. Furthermore, |||DG|||m,ρ|||D|||m,ρ|||G|||m,ρ.

    The proof can be seen in [13].

    To solve the transformation equation, we give the following lemma.

    Lemma 2.2. Consider the equation

    ˙P=APPA+Q(t), (2.1)

    where A=diag(λ1,λ2,,λ2n), |λlλm|μ with a constant μ>0, lm, 1l,m2n, and λi+n=λi, 1in. Suppose Q(t)=(qij(t))1i,j2n=ΛτQΛ(t) is analytic Hamiltonian almost periodic in t with frequencies ω=(ω1,ω2,) on Dρ with finite spatial structure (τ, []). Suppose ˉqii=0, i=1,2,,2n, where ˉqii is the average of qii(t) in t. Assume

    k,ω1λi+λj∣≥αΔ3(|k|)Δ3([k]), (2.2)

    for kZ{0}, 1i,j2n. Then there exists a unique analytic Hamiltonian almost periodic solution P(t) with the same frequencies and spatial structure as Q(t), and |||P|||mˉm,ρˉρcΓ(ˉm)Γ(ˉρ)α|||Q|||m,ρ, |||εPε|||mˉm,ρˉρcΓ2(ˉm2)Γ2(ˉρ2)α2(|||Q|||m,ρ+|||εQε|||m,ρ), where Γ(ϱ)=supt0(Δ3(t)eϱt), 0<ˉm<m, 0<ˉρ<ρ.

    Proof. Now we need solve the equation

    ˙PΛ=APΛPΛA+QΛ, (2.3)

    Let

    QΛ=(qijΛ),qijΛ=suppkΛqijΛkek,w1t,
    PΛ=(pijΛ),pijΛ=suppkΛpijΛkek,w1t,

    Comparing the coefficients of (2.3), it follows piiΛ0=0; or else,

    pijΛk=qijΛkk,ω1λi+λj.

    Then we have

    ||pijΛ||ρˉρsuppkΛΔ3(|k|)eˉρ|k|αΔ3([k])||qijΛ||ρ.

    So

    ||PΛ||ρˉρcΓ(ˉρ)Δ3([Λ])αQΛρ. (2.4)

    Denote P=ΛτPΛ. Since (2.4), it follows

    |||P|||mˉm,ρˉρ=Λτ||PΛ||ρˉρe(mˉm)[Λ]ΛτcΓ(ˉρ)Δ3([Λ])αQΛρe(mˉm)[Λ]cΓ(ˉρ)Γ(ˉm)αΛτQΛρem[Λ]=cΓ(ˉm)Γ(ˉρ)α|||Q|||m,ρ.

    Let us estimate εPεmˉm,ρˉρ. Moreover, dpiiΛ0(ε)dε=0, and

    dpijΛkdε=(dλj(ε)dεdλi(ε)dε)qijΛk+(k,ω1λi+λj)dqijΛk(ε)dε(k,ω1λi+λj)2for|ij|+|k|0.

    Then it follows

    ||εpijΛε||ρˉρsuppkΛ(cΔ6(|k|)eˉρ|k|α2Δ6([k])||qijΛ||ρ+Δ3(|k|)eˉρ|k|αΔ3([k])||εqijΛε||ρ)cΓ2(ˉρ2)α2Δ6([Λ])(||qijΛ||ρ+||εqijΛε||ρ).

    So

    ||εPΛε||ρˉρcΓ2(ˉρ2)α2Δ6([Λ])(||QΛ||ρ+||εQΛε||ρ).

    Then

    |||εPε|||mˉm,ρˉρ=Λτ||εPΛε||ρˉρe(mˉm)[Λ]ΛτcΓ2(ˉρ2)Δ6([Λ])α2(||QΛ||ρ+||εQΛε||ρ)e(mˉm)[Λ]cΓ2(ˉρ2)Γ2(ˉm2)α2Λτ(||QΛ||ρ+||εQΛε||ρ)em[Λ]=cΓ2(ˉm2)Γ2(ˉρ2)α2(|||Q|||m,ρ+|||εQε|||m,ρ).

    Moreover, by A and Q are Hamiltonian, it follows Q=JQJ and A=JAJ, where QJ and AJ are symmetric. Denote PJ=J1P. Below we prove PJ is symmetric. (2.1) becomes

    ˙PJ=AJJPJPJJAJ+QJ. (2.5)

    (2.5) becomes

    (˙PJ)T=AJJ(PJ)T(PJ)TJAJ+QJ.

    By the solution of (2.5) is unique, it follows (PJ)=(PJ)T. So P is Hamiltonian.

    The following lemma is used for the estimate of the measure.

    Lemma 2.3. Assume

    |k,ωχ|αΔ(|k|)Δ([k]), kZ{0},

    where χR. Let ˜αα2, σ0, and

    O={ε(0,ε0)  ||k,ω(χ+σεq+εqg(ε))|˜αΔ3(|k|)Δ3([k]), k0},

    where qZ+ and Δ(t) is an approximation function that fulfills (1.5). Suppose g(ε) fulfills |g(ε)|c for ε(0,ε0), and g(ε)0 when ε0. If ε0 is small enough, it follows

    meas((0,ε0)O)c˜ααεq+10.

    Proof. Denote φ(ε)=k,ω(χ+σεq+εqg(ε)) and fix k0. Let

    Ik={ε(0,ε)  ||φ(ε)|<˜αΔ3(|k|)Δ3([k])}.

    We first consider the case εqα4|σ|Δ(|k|)Δ([k]). If εqα4|σ|Δ(|k|)Δ([k]), it follows |σεq+εqg(ε)|α2Δ(|k|)Δ([k]). So

    |φ(ε)|αΔ(|k|)Δ([k])α2Δ(|k|)Δ([k])˜αΔ3(|k|)Δ3([k]).

    Thus, we only consider the case εq0εqα4|σ|Δ(|k|)Δ([k]). So

    1Δ(|k|)Δ([k])4|σ|εq0α. (2.6)

    For ε0 sufficiently small, we get

    |dφdε(ε)||σ|2εq1α8Δ(|k|)Δ([k])ε0. (2.7)

    By (2.6) and (2.7), we have

    meas(Ik)2˜αΔ3(|k|)Δ3([k])8Δ(|k|)Δ([k])ε0α=16˜αε0α4|σ|εq0α1Δ(|k|)Δ([k]).

    Then since (1.5), it follows

    meas((0,ε0)O)kZmeas(Ik)c˜ααε0εq0kZ1Δ(|k|)Δ([k])c˜ααεq+10.

    The following lemma is used for the convergance of KAM iteration.

    Lemma 2.4. ([11]) A sequence {ηv} satisfies

    ηv+1(ˉγzv)ˉγzvη2v,v0,

    where ηv are all positive real numbers, 1<z<2 and ˉγ>0. It follows that

    ηv[(ˉγzz2z)ˉγ2zη0]2v.

    This Lemma is used for the convergence of KAM iteration.

    KAM-step. At v-th step, consider the Hamiltonian system

    ˙xv=(Av+ε2vQv(t,ε))xv,v0, (3.1)

    where A0=A, Q0=Q, Av=diag(λv1,λv2,,λv2n), |λviλvj|μ>0, ij, 1i,j2n, λd+n=λd, 1dn, and Qv is almost periodic on Dρv.

    Let Qv=(qvij)1i,j2n Rv=diag(qv11,qv22,,qv2n,2n), R0=diag(q11,q22,,q2n,2n). Denote the average of Rv by ˉRv=diag(ˉqv11,ˉqv22,,ˉqv2n,2n). Hamiltonian system (3.1) becomes

    ˙xv=(Av+1+ε2v˜Qv(t,ε))xv, (3.2)

    where Av+1=Av+ε2vˉRv=diag(λv+11,λv+12,,λv+12n) and ˜Qv=QvˉRv.

    We now make the symplectic mapping xv=eε2vPv(t)xv+1 to (2.2) to obtain

    ˙xv+1=(eε2vPv(Av+1+ε2v˜Qvε2v˙Pv)eε2vPv+eε2vPv(ε2v˙Pveε2vPv(t)ddt(eε2vPv(t))))xv+1, (3.3)

    Expand eε2vPv and eε2vPv into eε2vPv=I+ε2vPv+Bv and eε2vPv=Iε2vPv+˜Bv, where Bv=(ε2vPv)22!+(ε2vPv)33!+ and ˜Bv=(ε2vPv)22!(ε2vPv)33!+. (3.3) becomes

    ˙xv+1=((Iε2vPv+˜Bv)(Av+1+ε2v˜Qvε2v˙Pv)(I+ε2vPv+Bv)+eε2vPv(ε2v˙Pveε2vPvddt(eε2vPv(t))))xv+1=(Av+1+ε2v˜Qvε2v˙Pv+ε2vAv+1Pvε2vPvAv+1+Q(1)v)xv+1, (3.4)

    where

    Q(1)v=ε2v+1Pv(˜Qv˙Pv)+ε2v+1(˜Qv˙Pv)Pvε2v+1Pv(Av+1+ε2v˜Qvε2v˙Pv)Pvε2vPv(Av+1+ε2v˜Qvε2v˙Pv)Bv+(Av+1+ε2v˜Qvε2v˙Pv)Bv+˜Bv(Av+1+ε2v˜Qvε2v˙Pv)eε2vPv+eε2vPv(ε2v˙Pveε2vPvddteε2vPv).

    We want to have that

    ˜Qv˙Pv+Av+1PvPvAv+1=0;

    that is,

    ˙Pv=Av+1PvPvAv+1+˜Qv. (3.5)

    Clearly, Av+1 and ˜Qv are Hamiltonian. Since Lemma 2.2, if

    <k,ω>1λv+1i+λv+1j∣≥αv+1Δ3(|k|)Δ3([k]), (3.6)

    for kZ{0}, where 1i,j2n, αv+1=α(v+1)2, for the Eq (3.5), we find an unique analytic almost periodic Hamiltonian solution Pv(t) with frequencies ω, and

    |||Pv|||mvˉmv,ρvˉρvcΓ(ˉmv)Γ(ˉρv)αv+1|||Qv|||mv,ρv,
    |||εPvε|||mvˉmv,ρvˉρvcΓ2(ˉmv2)Γ2(ˉρv2)α2v+1(|||Qv|||mv,ρv+|||εQvε|||mv,ρv), (3.7)

    where Γ(ρ)=supt0(Δ3(t)eρt), 0<ˉmv<mv, 0<ˉρv<ρv.

    Now (3.4) is changed to the Hamiltonian system

    ˙xv+1=(Av+1+ε2v+1Qv+1(t,ε))xv+1, (3.8)

    where ε2v+1Qv+1=Q(1)v.

    Since ˜Qv˙Pv=PvAv+1Av+1Pv, it follows

    ε2v+1Qv+1=Q(1)v=ε2v+1Pv(PvAv+1Av+1Pv)+ε2v+1(PvAv+1Av+1Pv)Pvε2v+1Pv(Av+1+ε2vPvAv+1ε2vAv+1Pv)Pvε2vPv(Av+1+ε2vPvAv+1ε2vAv+1Pv)Bv+(Av+1+ε2vPvAv+1ε2vAv+1Pv)Bv+˜Bv(Av+1+ε2vPvAv+1ε2vAv+1Pv)eε2vPv+eε2vPv(ε2v˙Pveε2vPvddteε2vPv). (3.9)

    Under the symplectic mapping xv=eε2vPvxv+1, Hamiltonian system (3.1) becomes Hamiltonian system (3.8).

    KAM iteration. Let us prove the convergence of KAM iteration when v. At v-th step, define αv+1=α(v+1)2, ρ0=˜ρ, m0=˜m, ˉmv0, ˉρv0, v=0ˉmv=12˜m, v=0ˉρv=12˜ρ, mv+1=mvˉmv, ρv+1=ρvˉρv. Let ||||||v=||||||mv,ρv. Since Lemma A.1 of [1], there exists a constant H>0, which satisfies

    Γ(ˉmv)Γ(ˉρv),Γ2(ˉmv2)Γ2(ˉρv2)H(32)v. (3.10)

    By (3.7) and (3.9), if |||ε2vPv|||v12, it follows

    |||Qv+1|||v+1cΓ2(ˉmv)Γ2(ˉρv)α2v+1|||Qv|||2v,
    |||εQv+1ε|||v+1cΓ4(ˉmv2)Γ4(ˉρv2)α4v+1(|||Qv|||v+|||εQvε|||v)2. (3.11)

    Denote ηv=|||Qv|||v+|||εQvε|||v. Since (3.10) and (3.11), there exists 1<z<2 satisfying ηv+1(ˉγzv)ˉγzvη2v. Since Lemma 2.4, it follows ηvM2v with a constant M>0. Thus,

    |||Qv|||v,|||εQvε|||vM2v. (3.12)

    If 0<Mε<1, by (3.12), it follows that

    limvε2vQv=0.

    By (2.2), it follows that

    ||Av+1Av||cε2v|||Qv|||v(εM)2v.

    When 0<Mε<1, Av is convergent as v. Denote

    limvAv=A.

    By (3.7), (3.10) and (3.12), we have

    |||Pv|||vc2v. (3.13)

    Thus, there exists a symplectic mapping x=ϕ(t,ε)y, such that Hamiltonian system (1.7) becomes Hamiltonian system (1.9).

    Estimate of measure. Below let us prove if ε0 is sufficiently small, for most ε(0,ε0), non-resonance conditions

    k,ω1λv+1i+λv+1j∣≥αv+1Δ3(|k|)Δ3([k]) (3.14)

    hold, where 0kZ, v=0,1,2, and i,j=1,2,,2n. Denote

    Ev+1={ε(0,ε0)  |k,ω1λv+1i+λv+1j∣≥αv+1Δ3(|k|)Δ3([k]),
     kZ{0},i,j=1,2,,2n}.

    If i=j, since (1.8), (3.14) holds. So we merely need prove for most ε(0,ε0),

    k,ω1λv+1i+λv+1j∣≥αv+1Δ3(|k|)Δ3([k]),ij.

    Without generality, since (A2), we assume

    λ1jλ1i=λjλi+μ1εl1+o(εl1),ij. (3.15)

    There exists an integer N0 satisfy

    2Nl12N+1. (3.16)

    So after N+2 KAM steps, by (3.12), we have

    λtjλti=λN+1jλN+1i+ε2N+1f(ε),ij, (3.17)

    where |f(ε)|c, f(ε)0 when ε0, and the integer tN+2. Moreover, for previous N+1 KAM steps, by (3.15), we have

    λsjλsi=λjλi+σεq+o(εq), (3.18)

    where s=1,2,,N+1, 0<ql1 is an integer, and σ0 is a constant. Now substitute (3.18) (s=N+1) into (3.17), by (3.16), we have

    λtjλti=λjλi+σεq+εqK(ε), (3.19)

    where |K(ε)|c, K(ε)0 as ε0. By (3.18), (3.19), (A1), and Lemma 2.3, it follows

    meas((0,ε0)Ev+1)c1(v+1)2εq+10. (3.20)

    Denote ˜E=v=0Ev+1. By (3.20), it follows that

    meas((0,ε0)˜E)v=0meas((0,ε0)Ev+1)v=0c1(v+1)2εq+10=cεq+10.

    So when ε0 is sufficiently small, non-resonance conditions (3.14) hold for most ε(0,ε0).

    We prove Theorem 1.1 completely.

    The authors were supported by the Natural Science Foundations for Colleges and Universities in Jiangsu Province grant 18KJB110029.

    The authors declare that they do not have any conflicts of interest regarding this paper.



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