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Research article Special Issues

Kolmogorov variation: KAM with knobs (à la Kolmogorov)

  • In this paper we reconsider the original Kolmogorov normal form algorithm [26] with a variation on the handling of the frequencies. At difference with respect to the Kolmogorov approach, we do not keep the frequencies fixed along the normalization procedure. Besides, we select the frequencies of the final invariant torus and determine a posteriori the corresponding starting ones. In particular, we replace the classical translation step with a change of the frequencies. The algorithm is based on the original scheme of Kolmogorov, thus exploiting the fast convergence of the Newton-Kantorovich method.

    Citation: Marco Sansottera, Veronica Danesi. Kolmogorov variation: KAM with knobs (à la Kolmogorov)[J]. Mathematics in Engineering, 2023, 5(5): 1-19. doi: 10.3934/mine.2023089

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  • In this paper we reconsider the original Kolmogorov normal form algorithm [26] with a variation on the handling of the frequencies. At difference with respect to the Kolmogorov approach, we do not keep the frequencies fixed along the normalization procedure. Besides, we select the frequencies of the final invariant torus and determine a posteriori the corresponding starting ones. In particular, we replace the classical translation step with a change of the frequencies. The algorithm is based on the original scheme of Kolmogorov, thus exploiting the fast convergence of the Newton-Kantorovich method.



    The present manuscript marks a first step in answering a question raised by Prof. Antonio Giorgilli in 2014 about our recent result [20] on the construction of lower dimensional elliptic tori in planetary systems. The question sounded pretty much like "can we fix the final frequencies and determine where we have to start from?" Indeed, from the mathematical point of view the result in [20] was satisfactory, we obtained a result that is valid in measure. However, Antonio has always pursued explicit algorithms that can be effectively implemented in order to study the behavior of a specific dynamical system, like the dynamics of the solar system or the FPU problem. Thus, the fact that given a specific value of the frequencies one does not know if the corresponding lower dimensional torus exists or not, left us with a bad taste in our mouth*.

    *As Antonio said, the result was satisfactory for an analyst, not for a mathematical physicist.

    We therefore believe that the manuscript has an appropriate place in this Volume in honor of Prof. Antonio Giorgilli. We will do our best to follow the line traced by Antonio and preserve his legacy, always looking for rigorous constructive results.

    Where constructive means that one must be able to build: (i) the proof of the theorem, (ii) the code that implement it; (iii) the computer that run the code; and of course (iv) the desk and the chair where we actually write down the proof.

    The aim of this paper is to reconsider the proof of the Kolmogorov theorem [26] with a variation on the handling of the frequencies.

    The motivation behind the development of this approach has strong connections with the problem of the persistence of lower dimensional elliptic invariant tori under sufficiently small perturbations. Indeed, in [20] the authors gave an almost constructive proof of the existence of lower dimensional elliptic tori for planetary systems, adapting the classical Kolmogorov normalization algorithm (see also [48]) and a result of Pöschel [39], that allows to estimate the measure of a suitable set of non-resonant frequencies. The key point is that both the internal frequencies of the torus and the transversal ones vary at each normalization step, and cannot be kept fixed as in Kolmogorov algorithm. This makes the accumulation of small divisors much more tricky to control and, more important, the result is only valid in measure and therefore one cannot know a priori if a specific invariant torus exists or not.

    A different approach, based on Lindstedt's series, that allows to control the frequencies has been proposed in [4,5] in the context of FPU problem. However, the algorithm has been so far introduced and used, up to our knowledge, only in a formal way and the literature lacks of rigorous convergence estimates. Recently, a comparison of the Lindstedt's method and the Kolmogorov normal form has been studied in [33].

    The idea is to overcome the issue of having a result that is valid only in measure, playing with the frequency like one does with a control knob, hence the title of the paper. The present work focuses on full dimensional invariant tori, thus representing a first step in this direction. We are well aware that, considering full dimensional invariant tori, the original Kolmogorov normalization algorithm allows to have a complete control of the frequencies, which are kept fixed along the whole normalization procedure. However, considering lower dimensional elliptic tori, as explained in detail by Pöschel [39], one cannot keep the frequencies fixed, but have to let them vary. Thus, as a first result, we decide to adapt the classical Kolmogorov normalization algorithm in order to avoid the translation that keeps the frequencies fixed by introducing a detuning between the prescribed final frequencies and the corresponding initial ones, to be determined a posteriori. We remark that a similar approach has been adopted in [50], dealing with an application of the KAM theorem in dissipative dynamical systems.

    The detuning can be figured as the action of turning a control knob.

    Finally, let us stress that our approach (see also [7,40]), in principle, also allows to start from a resonant torus that by construction falls into a strongly nonresonant one.

    In order to better illustrate our point of view, we briefly recall here some classical results on KAM theory. Consider the so-called fundamental problem of dynamics as stated by Poincaré, i.e., a canonical system of differential equations with Hamiltonian

    H(p,q)=H0(p)+εH1(p,q;ε) , (1)

    where (p,q)G×Tn are action-angle variables, being GRn an open set and ε is a small parameter. The functions H0(p) and H1(p,q;ε) are assumed to be analytic in the variables and in the small parameter, and bounded. Kolmogorov [26], in his seminal paper, that together with the works of Moser [36] and Arnold [1] gave birth to the celebrated KAM theory, proved the existence of quasi periodic solutions for this Hamiltonian, with given strongly nonresonant frequencies.

    The original idea of Kolmogorov is to select the actions pG such that the frequency vector ω=pH0(p) satisfies a Diophantine condition

    |kω|>γ|k|τ ,for all kZn,k0 , (2)

    for some positive γ and τn1. Hence the term H0 in (1) can be expanded in a neighborhood of p, denoting again by p the translated actions, and (forgetting the unessential constant term) the Hamiltonian reads

    H(p,q)=ωp+O(p2)+εH1(p,q;ε) . (3)

    The Kolmogorov theorem ensures the persistence of the torus p=0 (p=p in the original variables) carrying quasi-periodic solutions with frequencies ω, if ε is small enough and H0(p) is nondegenerate.

    Let us stress here a technical point. The role of the nondegeneracy assumption on H0(p) is twofold: (i) it allows to select the desired frequencies, parameterized by the actions; (ii) it allows to perform the translation step that keeps the frequency fixed along the normalization procedure. However, if the Hamiltonian is already in the form (3) or satisfies the so-called twistless property, i.e., it consists of a sum of a kinetic term, quadratic in p, and of a potential energy, depending only on the angles, it turns out that the nondegeneracy assumption can be removed, see, e.g., [10,11,12,16].

    Nowadays, the literature about KAM theory is so vast that an exhaustive list would fill several pages. Indeed, quoting Pöschel[40], After all, KAM theory is not only a collection of specific theorems, but rather a methodology, a collection of ideas of how to approach certain problems in perturbation theory connected with "small divisors". Hence, as this is a paper in honor of Antonio Giorgilli, we have decided to just mention his main contributions in the field§, i.e., [2,3,8,13,16,17,18,19,20,22,24,28,29,30,34,35,49].

    §For an historical account on the role played by Antonio on the development of KAM theory in Milan, see [9] in this same Special Issue.

    A final remark is about the so-called quadratic (or superconvergent or Newton-like) method, originally adopted by Kolmogorov and considered crucial until Russmann[41,42] pointed out that a careful analysis of the accumulation of the small divisors allows to sharpen some estimates and get rid of it. Eventually, a proof of Kolmogorov theorem via classical expansion in a small parameter has been obtained by Giorgilli and Locatelli in [18]. The approach based on classical expansions allows to unveil the mechanism of the accumulation of the small divisors and leads in a natural way to introduce a more relaxed nonresonant condition for the frequency vector ω, the so-called τ-condition introduced by Antonio in [23] and later adopted in [20,21], precisely

    r1logαrr(r+1)=Γ< ,withmin0<|k|rK|kω|αr , (4)

    where K and Γ are two positive constants. Such a non-resonance condition is equivalent to the Bruno's one, which is the weakest one that can be assumed to prove the persistence of invariant tori (see [6,16,52,53]). Furthermore, the classical approach is the only way to directly implement KAM theory in practical applications via computer algebra (see, e.g., [25]) and it proved advantageous in different contexts, e.g., the construction of lower dimensional elliptic tori in planetary systems in [48,49], the study of the long term dynamics of exoplanets in [27,47,51], the investigation of the effective stability in the spin-orbit problem in [45,46], the design of an a priori control for symplectic maps related to betatronic motion in [44] and the continuation of periodic orbits on resonant tori in [37,38,43].

    In the present paper, we adopt the original quadratic approach by Kolmogorov, which turns out to be better suited in order to devise a normal form algorithm that introduces a detuning of the initial frequencies that will be determined along the normalization procedure and complement it with rigorous convergence estimates.

    Consider a 2n-dimensional phase space with canonical action-angle variables (p,q)G×Tn, where GRn is an open set containing the origin.

    The Hamiltonian (1) is assumed to be a bounded real analytic function for sufficiently small values of ε and real bounded holomorphic function of the (p,q) variables in the complex domain Dρ0,σ0=Gρ0×Tnσ0 where ρ0 and σ0 are positive parameters, Gρ0=pGΔρ0(p), with Δρ0(p)={zCn:|pjzj|<ρ0} and Tnσ0={qCn:|Im(qj)|<σ0} that are the usual complex extensions of the real domains.

    Given a point p0G, denote by ω0(p0)Rn the corresponding frequency vector and expand the Hamiltonian H0 in a neighborhood of p0, denoting again by p the translated actions pp0, precisely

    H(p,q)=ω0p+O(p2)+εH1(p,q;ε) . (5)

    As remarked in the previous subsection, one can assume a nondegeneracy condition on H0(p) so as to ensure that the frequency vector is parameterized by the actions. However, if the Hamiltonian is already in this form, no nondegeneracy assumption is required.

    We can now state our main theorem

    Theorem 1.1. Consider the Hamiltonian (5) and pick a strongly nonresonant frequency vector ωRn satisfying the Diophantine condition (2) with some γ>0 and τn1. Then there exists a positive ε such that the following statement holds true: for |ε|<ε there exist a frequency vector ω0 and a real analytic near to the identity canonical transformation (p,q)=C()(p(),q()) leading the Hamiltonian (5) in normal form, i.e.,

    H()=ωp()+O(p()2) . (6)

    A more quantitative statement, including a detailed definition of the threshold on the smallness of the perturbation, is given in Proposition 4.1.

    A few comments are in order. At difference with respect to the original Kolmogorov theorem, we do not keep the frequencies fixed along the normalization procedure. The idea, that will be fully detailed in the next section, is to replace the classical translation step with an unknown detuning δω of the frequencies. Thus, once selected the final KAM torus, the theorem ensures the existence of a starting one which is invariant in the integrable approximation with ε=0 and, by construction, falls into the wanted invariant torus. Let us remark that in order to apply the Kolmogorov theorem, e.g., for constructing an invariant torus for a planetary system, it is somehow natural to determine the final angular velocity vector ω by using some numerical techniques like, e.g., Frequency Analysis (see [31,32]).

    We now define the norms we are going to use. For real vectors xRn, we use

    |x|=nj=1|xj| .

    For an analytic function f(p,q) with qTn, we use the weighted Fourier norm

    fρ,σ=kZn|fk|ρe|k|σ ,

    with

    |fk|ρ=supp|fk(p)| .

    We introduce the classes of functions Pl, with integers l0, such that gPl can be written as

    g(p,q)=|m|=lkcm,kpmeikq ,

    with cm,kC. For consistency reasons, we also set P1={0}. Finally, we will also omit the dependence of the functions from the variables, unless it has some special meaning.

    The Hamiltonian (5), expanded in power series of the actions p, reads

    H(p,q)=ω0p+l0hl , (7)

    where hlPl are bounded as

    h0ρ,σεE ,h1ρ,σεE2andhlρ,σE2lfor l2 . (8)

    provided ρ01/4, with E=2n1E0 where

    E0=max(suppΔρ0|H0(p)| , sup(p,q)Dρ0,σ0|H1(p,q;ε)|) . (9)

    We present in this section the algorithm leading the Hamiltonian (7) in normal form. The procedure is described here from a purely formal point of view, while the study of the convergence is postponed to the next section.

    First we introduce the unknown detuning δω and rewrite the Hamiltonian as

    H(p,q)=ωp+δωp+l0hl(p,q) , (10)

    with hlPl. Let us stress again that the quantity δω is unknown and will be determined at the end of the normalization procedure.

    As in the original Kolmogorov proof scheme, the algorithm consists in iterating infinitely many times a single normalization step: starting from H, we apply two near to the identity canonical transformations with generating functions χ0(q) and χ1(p,q), i.e.,

    H=exp(Lχ1)exp(Lχ0)H .

    The generating functions are determined in order to kill the unwanted terms h0(q) and h1(p,q). At difference with respect to the original approach designed by Kolmogorov we do not introduce a translation of the actions p, since we do not keep fixed the initial frequency ω0. Indeed, in our algorithm the role of the translation step is played by the detuning of the frequency δω.

    The functions χ0(q) and χ1(p,q) are determined by solving

    Lχ0ωp+h0=0 , (11)
    Lχ1ωp+s01s!Lsχ0hs+1=s01s!Lsχ0hs+1q , (12)

    where q denotes the average with respect to the angles q.

    First, considering the Fourier expansion of h0, and neglecting the constant term, one has

    h0(q)=k0ckeikq ,

    and can easily check that the solution of (11) is given by

    χ0(q)=k0ckikωeikq .

    The intermediate Hamiltonian ˆH=exp(Lχ0)H reads

    ˆH(p,q)=ωp+δωp+l0ˆhl(p,q) , (13)

    with

    δωp=δωp+s=01s!Lsχ0hs+1q ,ˆh0=Lχ0(δωps=11s!Lsχ0hs+1q)+Lχ0(h1h1q)+s=21s!Lsχ0hs ,ˆh1=s=01s!Lsχ0hs+1+(δωδω)p ,ˆhl=s=01s!Lsχ0hs+l ,for l2 . (14)

    where the unessential constant term h0q has been neglected in the expression above.

    Second, considering the Fourier expansion

    ˆh1(p,q)=k0ˆck(p)eikq ,

    one can easily check that the solution of (12) is given by

    χ1(p,q)=k0ˆck(p)ikωeikq .

    We complete the normalization step by computing the Hamiltonian H=exp(Lχ1)ˆH that takes the form (10) with δω as in (14) and

    h0=s=01s!Lsχ1ˆh0 ,h1=s=1s(s+1)!Lsχ1ˆh1+s=11s!Lsχ1δωp ,hl=s=01s!Lsχ1ˆhlfor l2 . (15)

    The justification of the formulæ (14) and (15) is just a matter of straightforward computations, exploiting (11) and (12).

    In this section, we translate our formal algorithm into a recursive scheme of estimates on the norms of the functions. This essentially requires to bound the norm of the Lie series. In order to shorten the notation, we will replace ||α(ρ,σ) by ||α and α(ρ,σ) by α, being α any positive real number. The useful estimates are collected in the following statements.

    Lemma 4.1. Let f and g be analytic respectively in D1 and D(1d) for some 0d<1 with finite norms f1 and g1d. Therefore,

    i. for 0<d<1 and for 1jn we have

    fpj(1d)1dρf1 ,fqj(1d)1edσf1 ; (16)

    ii. for 0<d<1d we have

    {f,g}(1dd)2ed(d+d)ρσf1g(1d) . (17)

    Lemma 4.2. Let d and d be real numbers such that d>0, d0 and d+d<1; let X and g be two analytic functions on D(1d) having finite norms X1d and g1d, respectively. Then, for j1, we have

    1j!LjXg1dd1e2(2eρσ)j1d2jXj1dg1d . (18)

    The proofs of these lemmas are straightforward and can be found, e.g., in [14].

    We are now ready to write the statement of Theorem 8.1 in a more detailed form.

    Proposition 4.1. Consider the Hamiltonian (10) and assume the following hypotheses:

    (i) hl, for l0, satisfy (8);

    (ii) ωRn satisfy the Diophantine condition (2) with some γ>0 and τn1.

    Then, there exists a positive ε depending on n, τ, γ, ρ and σ such that for |ε|<ε and δ1/8 there exists a real analytic near to the identity canonical transformation (p,q)=C(p,q) satisfying

    |pjpj|δτ+3ρ ,|qjqj|δτ+3σ ,j=1, , n , (19)

    for all (p,q)D14δ which gives the Hamiltonian the Kolmogorov normal form (6). Moreover, the detuning is bounded as

    δωp12E2δ2τ+4 .

    The proof of this Proposition is given in the next two subsections. Indeed, it is divided in two parts: first the quantitative analytic estimates for a single step are obtained in the so-called Iterative Lemma, and finally the convergence of the infinite sequence of iterations is proved.

    The aim of this subsection is to translate the algorithm of Section 3 into a scheme of estimates for the norms of all functions involved.

    Lemma 4.3. Let H be as in (10) and assume that the hypotheses (i)–(ii) of Proposition 4.1 hold true. Let δ1/8 and ρ, σ be positive constants satisfying

    (14δ)ρρand(14δ)σσ .

    Then there exists a positive constant Λ=Λ(n,τ,γ,ρ,σ) such that the following holds true: if

    Λδ3τ+6ε1 , (20)

    assuming that the following "a priori" bound on the detunings holds true,

    δωp1δε2δτ+2 ,

    then there exists a canonical transformation (p,q)=C(p,q) satisfying

    |pjpj|Λεδ3τ+6δτ+3ρδτ+3ρ ,|qjqj|Λεδ3τ+6δτ+3σδτ+3σ ,j=1, , n , (21)

    for all (p,q)D14δ, which brings the Hamiltonian in the Kolmogorov normal form (6) with the same ω and with new functions δωp and hl, for l1, satisfying the hypotheses (i)–(ii) with new positive constants ε, ρ, σ given by

    ε=Λδ3τ+6ε2 ,ρ=(14δ)ρandσ=(14δ)σ .

    Furthermore, the variation of the detuning frequency vector is bounded as follows

    δωpδωp12δΛεδ3τ+6δ2τ+4E2δ2τ+4E2 .

    A crucial role in the proof of the Iterative Lemma is played by the control of the accumulation of the small divisors. This topic has been deeply investigated by Antonio Giorgilli, see, e.g., [15, Section 8.2.4].

    We now collect all the estimates that allow to prove Lemma 4.3. Recalling the Diophantine condition (2), the elementary inequality |k|τe|k|δσ(τeδσ)τ allows us to easily bound the generating function χ0 as

    χ01δ1γ(τeδσ)τεEK1δτε ,K1=1γ(τeσ)τE .

    It is now convenient to provide some useful estimates to bound the terms appearing in ˆH. Assuming the smallness condition on ε

    2eK1εδτ+2ρσ12 ,

    we easily get

    Lχ0h112δ1e2(2eδ2ρσK1δτε)εE2K2δτ+212ε2 ,K2=2K1Eeρσ ,Lχ0hl+112δ1e2(2eδ2ρσK1δτε)E2l+1K2δτ+212l+1ε ,s21s!Lsχ0hl+s12δs21e2(2eδ2ρσK1δτε)sE2l+s1e2(2eδ2ρσK1δτε)2E2l+2s0(eK1εδτ+2ρσ)sK3δ2τ+412l+2ε2 ,K3=23K21Eρ2σ2 ,s2ss!Lsχ0hs12δs2se2(2eδ2ρσK1δτε)sE2s1e2(2eδ2ρσK1δτε)2E22s0(s+2)(eK1εδτ+2ρσ)sK4δ2τ+4122ε2 ,K4=24K21Eρ2σ2 , (22)

    where, in the last two inequalities, we used the well known sums

    s0xs=11x2ands1sxs=x(1x)22 ,for |x|12 .

    We now estimate the difference between the detunings, precisely,

    δωpδωp12δs01s!Lsχ0hl+112δεE2+K2δτ+2122ε+23K21Eδ2τ+4ρ2σ2123ε2εE2+K2δτ+2122ε+(2eK1εδτ+2ρσ)K2δτ+2122εK5δτ+2ε2 ,K5=E+K2 . (23)

    We now bound the term appearing in (13). The norm of the function ˆh0 is bounded as

    ˆh012δLχ0(δωps=11s!Lsχ0hs+1q)+Lχ0(h1h1q)+s=21s!Lsχ0hs12δLχ0δωp12δ+s2ss!Lsχ0hs12δ+Lχ0h112δ+s21s!Lsχ0hs12δ1e2(2eδ2ρσK1δτε)ε2δτ+2+K4δ2τ+4122ε2+K2δτ+212ε2+K3δ2τ+4122ε2K6δ2τ+4ε2 ,K6=K22E+K422+K22+K322 ,

    while the norm of ˆh1 satisfies

    ˆh112δs01s!Lsχ0hs+112δεE2+K2δτ+2122ε+K3δ2τ+4123ε2εE2+K2δτ+2122ε+(2eK1εδτ+2ρσ)K2δτ+2122εK5δτ+2ε2 .

    Finally, ˆhl, for l2, one has

    ˆhl12δs01s!Lsχ0hs+l12δE2l+K2δτ+212l+1ε+K3δ2τ+412l+2ε2E2l+(2eK1εδτ+2ρσ)E2e212l+(2eK1εδτ+2ρσ)2E2e212lK72l ,K7=E+Ee2 .

    This concludes the estimates for the first half of the normalization step.

    Exploiting again the Diophantine condition (2) we easily bound the generating function χ1 as

    χ113δ1γ(τeδσ)τK5δτ+212εK8δ2τ+212ε ,K8=1γ(τeσ)τK5 .

    Assuming the smallness condition

    2eχ113δδ2ρσ12 ,

    that can be written as

    2eK8εδ2τ+4ρσ1 ,

    we now bound the terms appearing in (15). The norm of the function h0 is bounded as

    h014δs01e2(2eδ2ρσK8δ2τ+212ε)sK6δ2τ+4ε2K6e2δ2τ+4ε2s0(eK8εδ2τ+4ρσ)sK9δ2τ+4ε2 ,K9=2K6e2 .

    Similarly we get

    h114δs11s!Lsχ1ˆh114δ+s11s!Lsχ1δωp14δs11e2(2eδ2ρσK8δ2τ+212ε)s(K5δτ+212ε+1δτ+212ε)1e2(2eδ2ρσK8δ2τ+212ε)(K5δτ+212ε+1δτ+212ε)s0(2eδ2ρσK8δ2τ+212ε)sK8eδ2τ+4ρσ(K5+1δτ+2)2ε22K10δ3τ+6ε22 ,K10=2(K5+1)K8eρσ .

    For l2, we bound the norm of hl as

    hl14δs01s!Lsχ1ˆhl14δs01e2(2eδ2ρσK8δ2τ+212ε)sK72lK112l ,K11=2K7e2 .

    To finish, we need to provide the convergence of the near to the identity change of coordinates.

    The first change of coordinates is bounded as follows

    exp(Lχ0)ˆpj=ˆpj+χ0qj|(ˆq,ˆp) ,exp(Lχ0)ˆqj=ˆqj ,

    The second change of coordinates is bounded as

    exp(Lχ1)pp14δs11s!Lsχ1p14δs11s!(s1)!e2(2eδ2ρσχ114δ)s1Lχ1p14δχ1e3δσs11s(2eδ2ρσχ114δ)s1δρ2(1e42eK8εδ2τ+4ρσ) ,

    and similar computations give

    exp(Lχ1)qq14δδσ2(1e32eK8εδ2τ+4ρσ) . (24)

    Combining these bounds we eventually get

    pp14δδρ21e42eK8εδ2τ+4ρσ+1eδσK1δτεδρ2(1e42eK8δ2τ+4ρσ+2K1eδτ+2ρσ)ε . (25)

    In order to conclude the proof, we now collect all the estimates. We define Λ as

    Λ=max(1, Kj for j=1,,11 , 2eK1ρσ , 2eK8ρσ) .

    Let us stress that Λ depends only on τ, γ, ρ, σ and n (implicitly via τ). Thus all the convergence conditions are summarized by

    Λδ3τ+6ε1 ,

    and trivial computations conclude the proof of Lemma 4.3.

    By repeated application of the iterative lemma, we construct an infinite sequence {ˆC(k)}k1 of near the identity canonical transformations

    (p(k1),q(k1))=ˆC(k)(p(k),q(k)) ,

    where the upper index labels the coordinates at the k-th step. This introduces a sequence {H(k)}k1 of Hamiltonians, where H(0)=H is the original one, satisfying

    εk=Λδ3τ+6kε2k1 , (26)
    ρk=(14δk)ρk1 , (27)
    σk=(14δk)σk1 . (28)

    These sequences depend on the arbitrary sequence {δk}k1, that must be chosen so that for every k one has δk1/8 and

    Λδ3τ+6kεk11 , (29)
    (14δk)ρk1ρ>0 , (30)
    (14δk)σk1σ>0 . (31)

    Let us now make a choice of the parameters, precisely

    The choice is rather arbitrary, see [15], footnote 6, chapter 8.

    εk=εk+10andδk=1αk ,

    where α is real positive constant to be determined.

    Let's start with (29), that reads

    Λ(α3τ+6)kεk01 , (32)

    and holds true provided

    ε01Λα3τ+6 . (33)

    Consider now the restrictions δk. We immediately get

    k1δk=k1αk18 ,for α9 . (34)

    We now prove that (31) and (30) hold true. Starting with

    lnk1(14δk)=k1ln(14δk) ,

    we easily get

    0ln(14δk)8ln2k1δk>ln2 ,

    from which we have ρ=ρ/2 and σ=σ/2.

    Let us now focus on the sequence of the detuning frequency vectors {δω(k)}k0, which requires some additional care. Indeed, Lemma 4.3 holds true provided δω(k)p1δkεk12δτ+2k and the sequence εk, by definition, satisfy limkδω(k)=0. The recursive definition in (14) allows us to compute δω(k)p as

    δω(k)p=jk+1(δω(j1)pδω(j)p) ,for k0 , (35)

    and by using the inequality (23), we get

    δω(k)p1δkj=k+1K5δτ+2jεj1 .

    Thus, the applicability of the Iterative Lemma 4.3 is then verified a posteriori, if the inequality

    jk+1K5δτ+2jεj1εk1δτ+2k  (36)

    holds true for every positive integer k. We can rewrite this condition as

    K5jk+1(ατ+2ε0)j=K5(ατ+2ε0)k+11ατ+2ε0(ατ+2ε0)k

    from which we get

    ε01ατ+2(K5+1) . (37)

    Hence, once the choice of α is made so as to satisfy (34), α9, one has two additional smallness conditions on ε0, (33) and (37), that affects the threshold on the small parameter ε.

    It remains to prove that the canonical transformation is well defined on some domain. To this end, consider the sequence of domains {Δρk,σk}k0 with ρk and σk as in (27) and (28).

    Then the canonical transformation ˆC(k):Δρk,σkΔρk1,σk1 is analytic. Therefore, by composition, the transformation

    C(k)=ˆC(k)ˆC(1)

    is canonical and analytic. Moreover, in view of (25) and (24) we have

    |p(k)p(k1)|σkj=1δτ+3jand|q(k)q(k1)|ρkj=1δτ+3j ,

    thus, since j1δj is convergent, the sequence {C(k)}k1 converges absolutely to

    C():Δρ,σΔρ0,σ0 ,

    with ρ=ρ0/2 and σ=σ0/2. The absolute convergence implies the uniform convergence in any compact subset of Δρ,σ, hence C() is analytic. Finally, denoting by (p(),q()) the canonical coordinates in Δρ,σ, and we immediately get

    |p()jp(0)j|σ8τ+3and|q()jq(0)j|ρ8τ+3 .

    Lastly, we now focus on the sequence of detunings. We can bound the norm of δω(0) exploiting the recursive definition

    δω(0)p=j1(δω(j1)pδω(j)p) .

    Indeed, one easily gets

    δω(0)p12j1Λδτ+2jεj1E2E2j1Λεj1δτ+2jE2j1δ2τ+4jE2182τ+4 .

    By the properties of the Lie series transformation, one also has that the sequence {H(k)}k0 converges to an analytic function H() which by construction is in normal form. This concludes the proof of Proposition 4.1.

    The authors have been partially supported by the MIUR-PRIN 20178CJA2B "New Frontiers of Celestial Mechanics: theory and Applications", by the MIUR Excellence Department Project awarded to the Department of Mathematics of the University of Rome "Tor Vergata" (CUP E83C18000100006) and by the National Group of Mathematical Physics (GNFM-INdAM).

    The authors declare no conflict of interest.



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