Abstract
When a symplectic integrator is applied to an integrable Hamiltonian system, the step transition map can be viewed as a nearly integrable symplectic map with a step-size-dependent perturbation. In this paper, we establish a Nekhoroshev-type theorem for such maps, providing explicit exponential stability estimates that apply directly to small-twist cases. We explicitly emphasize that our analysis treats a small but strictly positive twist () with quantified m-dependence, rather than a uniform degenerate-twist result; accordingly, the admissible perturbation threshold explicitly deteriorates as the twist constant m approaches zero. Consequently, we prove that symplectic integrators exhibit exponential stability over exponentially long time scales. Our results, derived via resonant normal form construction and the geometric covering of the action space, furnish rigorous and computable bounds for the long-term preservation of action variables, thereby offering new insights into the nonlinear dynamical behavior of geometric discretizations.
Keywords:
symplectic integrator; Hamiltonian system; Nekhoroshev estimate; exponential stability; normal form MSC:
37J40; 37M15; 65P10
1. Introduction
Hamiltonian systems play a pivotal role in modeling phenomena across scientific and engineering disciplines, including celestial mechanics, molecular dynamics, and plasma physics, where accurate long-term simulations are crucial to analyzing orbital stability, energy conservation, and chaotic behaviors. Conventional numerical methods frequently introduce artificial dissipation or instability, distorting the system’s qualitative dynamics over extended periods. Symplectic integrators, pioneered by Channell [1,2], Feng Kang [3,4], and Ruth [5], mitigate these issues by preserving the symplectic structure inherent in Hamiltonian flows, thereby achieving superior long-term fidelity. To handle more complex physical scenarios, high-order explicit symmetric integrators have been specifically developed for inseparable Hamiltonian systems [6]. Furthermore, the intersection of geometric numerical integration and machine learning has recently evolved, with neural symplectic integrators utilizing backward error analysis to ensure long-term energy conservation [7]. Parallel to these developments in numerical integration, rigorous analytic techniques such as the relegation algorithm have been refined to provide formal simplifications for Hamiltonian systems, with recent studies establishing their Nekhoroshev-like stability estimates [8]. These results provide a rigorous foundation for the relegation algorithm; our approach instead relies on resonant normal forms and geometric coverings, leading to explicit small-twist dependent bounds. Numerical experiments on benchmark models, such as the Hénon–Heiles system and solar system integrations, highlight their advantages in preserving global invariants, including energy and phase space volume [9,10].
When symplectic integrators are applied to integrable Hamiltonian systems, the step transition map manifests as a perturbation of the exact phase flow, with the perturbation magnitude being governed by the time-step size. This perturbation framework raises critical stability concerns: in the unperturbed case, the dynamics are trivial, with action variables remaining constant and angles evolving linearly. However, a non-vanishing perturbation can induce intricate, potentially unstable motions, such as Arnold diffusion in systems with more than two degrees of freedom [11,12]. While such diffusion represents a source of long-term instability, its practical impact can be bounded over exponentially long time scales through Nekhoroshev-type estimates. Recently, these theoretical bounds have been extended to the discrete setting, proving that symplectic integrators can rigorously preserve the action variables of nearly integrable systems for similarly long durations [13]. Our results complement this discrete extension by deriving computable stability thresholds with explicit dependence on the twist parameter m.
We consider a nearly integrable symplectic map generated by an analytic function in action-angle variables of the form , defined on , where G is an open-bounded domain in and h represents a small perturbation of size . The map is implicitly defined by
The map reduces to an integrable form when h vanishes, yielding trivial dynamics.
For integrable Hamiltonian systems, the Kolmogorov–Arnold–Moser (KAM) theorem [14,15,16] ensures the persistence of most invariant manifolds under small perturbations, forming a Cantor set of large measure in phase space. Recently, Qian, Li, and Yang [17] extended the KAM theory to multiscale Hamiltonian systems, where the presence of multiple characteristic scales requires a refined iterative scheme and a modified non-degeneracy condition. Their result provides a unified framework for dealing with systems that exhibit both fast and slow dynamics, which is pertinent to the analysis of symplectic integrators applied to integrable systems with multiple frequencies.
Complementing the KAM theorem, the Nekhoroshev theorem [18] establishes exponential stability for analytic systems satisfying steepness conditions on , implying that action variables remain nearly constant over exponentially long timescales; specifically, for small and all initial actions ,
with constants , and b, provided that the steepness conditions are fulfilled for . The exponents have been refined by Pöschel [19], Lochak [20,21], and Bounemoura [22].
Expanding beyond the analytic framework, Bounemoura and Féjoz [23] developed a unified perturbation theory in the ultra-differentiable setting, establishing both KAM and Nekhoroshev-type results bridging Gevrey and analytic regularities. Further extensions to weaker regularity, including steep Hamiltonians in the Hölder class, have recently been obtained in [24]. Concurrently, classical Nekhoroshev estimates have been significantly sharpened at elliptic equilibria using refined Birkhoff normal forms [25], and the geometric protection mechanisms governing these exponential lifetimes have been empirically validated in coupled oscillators via the Trojan Robustness Index [26]. Despite these advances, a structural difficulty persists in regimes where the twist parameter is small: the associated non-degeneracy constants deteriorate, preventing the uniform application of the classical resonance geometry and covering arguments underlying Nekhoroshev theory. This degeneration becomes particularly relevant in the study of discrete symplectic maps arising from numerical integrators, where long-time stability remains a central open issue in numerical dynamics. Our analysis addresses this small-twist degeneration within the analytic category, deriving quantitative and computable bounds with explicit dependence on the twist parameter.
The scenario becomes more intricate for quasi-integrable symplectic maps, which serve as models for the discrete dynamics of symplectic integrators. Nekhoroshev conjectured analogous exponential stability for such maps. Kuksin and Pöschel [27] demonstrated this via interpolation to a non-autonomous Hamiltonian system, yielding an existence proof without explicit estimates. Guzzo [28] provided a direct proof with quantitative bounds, but these fail for small-twist maps, which are prevalent in low-order symplectic integrators. As the twist constant m decreases, classical Nekhoroshev estimates typically involve coefficients blowing up as inverse powers of m, which severely restricts the admissible perturbation size. The explicit dependence obtained here allows one to retain exponential stability even in such small-twist regimes. However, to avoid any ambiguity, we stress that our stability result is not uniform as . We consider a small but positive twist (), and the established admissible perturbation threshold deteriorates explicitly with m, as will be quantified in our main theorem. The extension of exponential stability results to first- and second-order symplectic integrators presents significant additional analytical difficulties, leaving critical gaps in applicability for low-order methods. In contrast to higher-order schemes, low-order integrators generate larger leading perturbation terms, which interact more strongly with resonances and cannot be treated by straightforward adaptations of existing arguments. This necessitates a more refined normal form analysis in order to control the long-time accumulation of these effects. Recently, the study of wandering domains in Gevrey near-integrable exact symplectic systems has yielded rigorous upper bounds on their Lebesgue measure [29], underscoring the critical need for precise stability estimates in discrete settings. Addressing the stability of quasi-integrable symplectic maps, Gelfreich and Vieiro [30] offered a direct proof using discrete averaging, embedding near-identity symplectic maps into autonomous Hamiltonian flows with exponentially small errors. Their method complements existing approaches by avoiding normal form transformations. In contrast, our method retains a resonant normal form framework and yields explicit control of stability constants in the small-twist regime.
In this paper, we address these limitations by furnishing a direct, constructive proof of Nekhoroshev-type exponential stability for nearly integrable symplectic maps, delivering explicit, computable estimates applicable to small-twist cases. Inspired by the Nekhoroshev framework [18], we construct normal forms on resonant blocks, derive local stability estimates, and employ geometric coverings to encompass the entire action space. Our results yield rigorous bounds on perturbation thresholds, action drifts, and stability timescales, elucidating the nonlinear dynamical structure of geometric discretizations. As a corollary, we establish exponential stability for symplectic integrators of any order applied to integrable Hamiltonian systems.
The remainder of this paper is organized as follows: Section 1.1 introduces notations, and Section 1.2 states the main theorem. Section 2 details the analytic construction of normal forms with exponentially small remainders on resonant blocks. Section 3 addresses the geometric covering of the action space by resonant blocks. Section 4 completes the proof of Theorem 1 via parameter selection. Finally, Section 5 applies the results to small-twist symplectic maps and symplectic integrators.
1.1. Notations
We introduce some notations used in this paper, most of which are from [31]. Given (i.e., , ), we first introduce the sets
and
where and denote, respectively, the Euclidean norm and the maximum norm for vectors, and and denote the real part and the imaginary part of respectively. Then we define
Several kinds of norms are used in this paper. First, we consider functions of the n action variables. Given a (real or complex) function , defined on a complex neighborhood , we introduce the supremum norm
In this way, the subscript is removed from the notation if . This remark applies throughout this section.
In an analogous way, we consider the supremum norm for vector-valued functions, i.e., vectorfields. Given and , we define
In this definition, means the p-norm for vectors in , i.e., for , and .
Next, we consider functions of the action-angle variables. For a given complex function (-periodic in ) defined on the neighborhood , and , we may consider its supremum norm as follows:
But if f is analytic on a neighborhood of the set , we may define an exponentially weighted norm in terms of the Fourier series of f. Writing , we introduce
Note that .
Then, we can extend the definitions of the norms to the case of vector-valued functions. Given and , and writing , where , we define
The Cauchy estimates about the Fourier norms are provided by Pöschel [19]; i.e., if f is analytic on , one has
with .
Finally, for we introduce the vectorfield norm
where is a parameter to be fixed in subsequent sections.
1.2. Main Result
The main theorem for nearly integrable symplectic maps can be stated as follows.
Theorem 1.
Let be analytic in , where is an open-bounded domain of and is positive. Let satisfy the bi-Lipschitz condition
for all with positive constants . Here, these bounds are assumed to hold directly on the complex neighborhood , where the Euclidean norm is extended to complex vectors.
Assume that the perturbation size satisfies
where
and .
Then, the implicit symplectic map generated by via (1) is uniquely well-defined via the contraction mapping principle. Furthermore, for any initial condition , the relevant iterates remain well-defined for all iterations , and the action variables satisfy
where the domain is explicitly defined as
with . The stability parameters are given by
The rest of this paper is devoted to the proof of the main theorem.
Remark 1
(On the small-twist regime and explicit constants). The uniform lower bound in Assumption (2) is imposed for clarity of the statement. All constants appearing in Theorem 1 are explicit functions of m, M, , and the dimension n. In particular, the admissible perturbation size depends quantitatively on the twist constant m and shrinks as m decreases.
This explicit dependence allows Theorem 1 to cover small-twist regimes, in the sense that the stability result remains valid provided that . Symplectic maps arising from symplectic integrators with small effective twist can be reduced to this setting via the stretching transformation introduced in Section 2.
Remark 2
(On the conservativeness of the exponential estimates). The exponential stability time with is derived from a worst-case analytic construction (resonant normal forms and geometric covering) and therefore provides a rigorous lower bound on the stability time. For high-dimensional systems (), the exponent becomes small, and the factor grows only weakly as ; nevertheless, the overall time scale can still be extremely long for sufficiently small ϵ. In practice, the estimates may be conservative, as is typical for Nekhoroshev-type theorems. The main contribution of this work is to furnish explicit, computable stability thresholds that depend quantitatively on the twist constant m, not to obtain optimal constants. Tighter bounds may be achievable for specific systems or by refined parameter optimization, but this lies beyond the scope of the present paper.
Compared with the aforementioned foundational works, the precise advances and novelties of the present paper can be explicitly summarized as follows: Inheritance from the direct Nekhoroshev approach: We inherit the core analytical machinery—specifically the Cauchy estimates, the iterative resolution of homological equations, and the local resonant normal form construction—from the classical direct Nekhoroshev framework for symplectic maps established by Guzzo [28] and Kuksin and Pöschel [27]. Novel treatment of small-twist regimes: What is genuinely new in our approach is the explicit, quantitative management of the twist constant m. While classical geometric covering techniques often assume a uniform non-degeneracy or rely on abstract steepness conditions, our formulation is strictly tailored to explicitly handle the small-twist regime. We achieve this by integrating a refined geometric covering lemma directly tied to the bi-Lipschitz bounds of the m-dependent frequency map. Improvements through explicit m-dependence: Unlike previous estimates that absorb twist properties into generic, unspecified constants, our results explicitly track how the stability threshold and the confinement radius Δ depend on m. This complements the recent insights by Gelfreich and Vieiro [30] by providing strictly computable bounds, allowing for a transparent mathematical understanding of how exponential stability deteriorates as the system approaches the degenerate limit (). Extension of symplectic integrator results: While previous studies have laid the groundwork for the effective stability of specific high-order numerical methods, we leverage our explicit small-twist estimates to extend these stability bounds to symplectic integrators of arbitrary order r. Our results rigorously demonstrate how the discrete numerical flow inherits the analytical stability of the continuous Hamiltonian system, uniformly bounded by parameters that incorporate both the time-step size and the twist non-degeneracy.
In Section 2, the analytic part, which concerns the construction of the normal form with an exponentially small remainder on resonant blocks, is presented. The geometric part, in Section 3, concerns the covering of the whole action space by a family of resonant blocks. In Section 4, the proof of Theorem 1 is finished by making choices for the free parameters. In Section 5, as a corollary to the main theorem, we obtain the exponential stability of small-twist symplectic maps and therefore the exponential stability of symplectic integrators when it is applied to integrable Hamiltonian systems.
2. The Analytic Part
2.1. Overview of the Analytic Construction
To clarify the nested parameter choices utilized in the subsequent resonant normal form and geometric covering arguments, we briefly outline their hierarchy and distinct roles. The parameter K denotes the ultraviolet truncation order of the Fourier series, controlling the degree of nonresonance. For each dimension r of a resonant lattice, represents the resonance threshold (diophantine-like condition), while defines the spatial width of the corresponding extended resonant block. The domain of analyticity is governed by the radii , which shrink iteratively during the successive normal form transformations. Finally, acts as a scaling parameter for the frequency map, intimately tying the geometric covering bounds to the explicit small-twist non-degeneracy condition. First, we transform the mapping defined in (1) by the partial coordinate stretching and obtain a new mapping that is defined in the new phase space by
where
is well defined on with
and
Here, is considered a free parameter, and is real analytic in , with and . Accordingly, the frequency map of the integrable mapping associated to the generating function turns into , and the condition satisfied by the map turns out to be
for . In addition, we have
From now on, we fix , where is a parameter to be determined later. Denoting , we have
In order to transform the generating function of to the normal form, we need to seek a suitable canonical transformation , that is constructed iteratively as a product of the successive approximately identical canonical transformation . In doing that, one meets the small denominators , which in general vanish in a dense subset of . These resonances are given by the equations , for . As usual, the small denominators should be excluded in the process of constructing the normal form. However, it is not necessary to take care of all the small denominators. We can do that in a certain subdomain which can guarantee for and , where and K are independent parameters and is a given sublattice of . The dependencies among these lemmas are illustrated in Figure 1.
Figure 1.
Dependencies among lemmas in the analytic part.
Next we give the related notations in detail. Let be a sublattice of . We only consider the maximal ones that are not properly contained in any other sublattice of the same dimension. A maximal sublattice with dim is called a K-lattice if it admits a basis satisfying for , and such a basis will be called a K-basis [32]. A function is said to be in a normal form with respect to of degree K if its Fourier series expansion in the angular variables is restricted to the form . We express this by writing . Note that a function is in the normal form with respect to the trivial modulo if it does not depend on the angular variables.
We restrict ourselves to a subset , where the frequency vector is allowed to satisfy some resonance relations corresponding to a fixed sublattice , but a neighborhood of all other resonances of order less than or equal to K are excluded. More precisely, a subset is said to be -nonresonant modulo if
where .
A special situation arises when is the trivial sublattice of containing only 0. In this case, the set G is said to be completely -nonresonant. In the corresponding normal form, g is independent of the angle variables. Naturally, the analysis of this case is simpler than the ones in the case of resonances.
The nonresonance condition on the set G can be extended to a complex neighborhood of small enough radius .
Lemma 1.
Let be a real analytic function in , and let . Assume that G is -nonresonant modulo and that satisfies (4). If
then is -nonresonant modulo .
Proof.
, there exists such that by definition. Because
to rigorously estimate the difference in the complex domain, we use the integral representation along the line segment connecting and :
Let . Since , is purely real, which implies that . Noting that the complex conjugation satisfies , we have . By the Lipschitz condition in (4),
Therefore, for any ,
where we used the assumption and . Bounding the integral, we obtain
That completes the proof. □
The Normal Form Lemma can be formulated as follows.
Lemma 2
(Normal Form Lemma). Let be a K-lattice, and . is analytic in , . Suppose that is -nonresonant modulo and the frequency map satisfies (4). If
where and , then there exists a real analytic canonical transformation such that the conjugate symplectic map is generated by the analytic function with . Moreover, the following hold:
- (1)
- .
- (2)
- .
- (3)
- , where denotes the projection onto x-coordinates.
In order to prove the Normal Form Lemma, we need some technique lemmas.
Lemma 3
([31]). Let f be an analytic function in . For and given, let us denote
Then,
- (a)
- (b)
- where .
The following lemma is similar to Lemma 6 in [28], and the proof can be found there.
Lemma 4
([28]). Let and Φ be symplectic maps generated by analytic functions F and χ respectively. are defined by
and
Then one of the generating functions of the conjugate symplectic map can be written as
where are functions of the independent variables .
Lemma 5.
Let be analytic in , and given positive numbers . Assume that ; then the symplectic transformation Φ generated by the function χ is well defined in . Furthermore, one has
Proof.
Let . It is easy to know that is a closed-bounded subset of a Banach space. Now consider the map , which is well defined for any and maps the space into itself from the fact that
Moreover, for any , one has
This shows that the map is contractive. Therefore, there exists a unique such that and the symplectic transformation can be expressed explicitly in the form
which is well defined and real analytic for any . It is easy to show by means of (8) and
In similar way, we can prove that . Specifically, we denote the set and consider the map , which is well defined in . □
Lemma 6.
Let be analytic in , with satisfying (4). Given positive numbers , if
then the symplectic map generated by F is well defined in and
Proof.
Similar to the proof of Lemma 5, for any , there exists a unique such that . Therefore, is also well defined in . Moreover, when ,
Considering , there exists such that . Thus
Therefore, and we get
In similar way, one can prove that . □
Using Lemmas 4–6, we can derive the following lemma.
Lemma 7.
Consider the generating function and χ, which are analytic in . Let satisfy (4). Positive numbers are given such that . Suppose that
Let be the symplectic map generated by F, Φ by χ and . Then and are analytic and symplectic diffemorphisms which are defined in .
and
In addition, the conjugate symplectic map can be generated by a function , which is analytic in a domain containing .
Next, we formulate and prove the Iterative Lemma that is crucial in the proof of the Normal Form Lemma.
Lemma 8
(Iterative Lemma). Consider that , real analytic in and , is -nonresonance modulo , . Let the symplectic map be given by the generating function , and let satisfy condition (4) where . Assume that
where . Then, there exists a real analytic canonical transformation such that the conjugate symplectic map is generated by with , and is analytic in a domain containing . Furthermore, the following estimates can be derived:
- (a)
- (b)
- , where
- (c)
Proof.
We define the transformation implicitly with the help of a undetermined generating function by
According to Lemma 7, we have the generating function of the conjugate symplectic map , and is analytic in a domain containing .
We choose satisfying the linear functional equation
where denotes the terms restricted to in the Fourier expansion of R. By means of the Fourier expansions of R, and g, the solutions can be obtained:
and
Note that . Thus, and
where in the last inequality, we use the nonresonance condition. Because
where we use the fact that (differentiating the Fourier expansion of R). As before, . Thus
Moreover,
Therefore, we have
with .
Let , where is an integrable rotation on with frequency map , i.e., , and B can be expressed implicitly as follows:
On the other hand, let , where denotes the terms restricted to and in the Fourier expansion of R, and assume that the map has the form:
Then, B has the form:
Note that all the concerned variables are in . By expressing the differences as integrals along line segments connecting the relevant points and applying Cauchy estimates, we are able to get the following bounds:
where in the last inequality, we use (10).
Note that
and , so
Thus,
Therefore,
Similarly, we have
By means of condition (9) and above estimates, we get
Thus,
where
By estimating in a similar way to the above and making use of the previous estimates, we obtain
Combining the above estimates, we get
where
Because , we have
Finally,
□
2.2. Proof of Normal Form Lemma
Adopting a process similar to Hamiltonian systems, we shall construct a series of symplectic transformations , each of which reduces the norm of the remainder by a factor . After applying the Iterative Lemma N times, we can get an exponentially small remainder by choosing adequately.
Let be an integer to be chosen below. We denote , with . Obviously, .
Next we apply the Iterative Lemma N times and obtain a series of symplectic transformations for . Let , and the generating functions of the symplectic map with .
Now, we are going to show that if , then the claims below are true for :
- (a)
- (b)
The proof is done by induction.
Setting and , we choose the parameter so that . Due to and , we have
Note that
Thus, the Iterative Lemma can be applied with instead of . Due to , we have
and
Claim (a) is obviously true for .
For , note that
and
Thus, the Iterative Lemma can be applied with instead of . Claim (a) is easy to prove, and claim (b) can be proved by the following estimates:
Now we may choose , the integer part of . After iterating N times, the exponential small remainder is given by
Conclusion (3) is obtained from the fact that
where the last inequality is a consequence of (5) and . Here we remark that if , all results are obvious if we take as the identity map.
3. The Geometry of Resonances
This section concerns the covering of the whole action space by a family of resonant blocks associated to different lattices . For the symplectic map, the original geometric construction in [32] requires some modifications (see also [28]). Here in addition to K, our geometric construction will be characterized by positive parameters and . More precisely, for any choice of these parameters, for each K-lattice with dim and some , we define:
- (i)
- Resonant manifold:where is a K-basis.
- (ii)
- Resonant zone:where is a K-basis.
- (iii)
- Resonant block:Specifically, . The dimension r of will also be called the multiplicity of the corresponding resonant manifold, zone or block.
- (iv)
- Cylinder:First, let be the hyperplane through x parallel to with the same dimensionality, and denote its neighborhood by , i.e.,Then, for , the cylinder is defined byand the set gives the cylinder lateral walls.
- (v)
- Extended resonant block:
Remark 3.
In the definition of the resonant zone, we make the point that l is bounded because of and the boundedness of and α. In addition, the resonant zones with the same lattice do not intersect for different l.
Remark 4.
The resonant blocks constitute a covering of the action space , that is,
Now, we shall prove some properties of the geometry construction.
Proposition 1.
(i) For any with dim, if , then for any . In particular, for any , for any .
(ii)
(iii)
(iv) If is an r-dimensional K-lattice, , then for any ,
Proof.
In order to prove statement (i) by contradiction, assume that there exist and , such that for any . Note that ; then we obtain that there exists an -dimensional K-lattice and such that . However, in view of the definition of . We get the contradiction.
For properties (ii) and (iii), it is readily to obtain from the definitions. In fact,
and
Finally, before proving statement (iv), we need a technique lemma which refers to [32].
Lemma 9
([32]). Let be linearly independent vectors of with and be any linear combination of satisfying ; then one has
Let us continue the proof of Proposition 1 (iv). For any with , there exist such that and . Due to the convexity of the function , we conclude that
Note that is parallel to , so
where denotes the projection of a vector onto . Moreover,
Let be the K-basis of . Since , for each , there exists such that and . Thus, we have
From Lemma 9, it follows that
That is,
□
4. The Proof of Theorem 1
In this section, we will complete the proof of Theorem 1. Now, we have to make a choice for free parameters and in order to satisfy two important properties which are crucial points in the following proof. First, there is no intersection among the extended blocks with the same dimensional lattices. More precisely, for any with , and , which is called the condition of nonoverlapping of resonances [32]. Second, if action variables can leave the initial cylinder in an exponentially long time, they must enter some resonant block associated to a lower-dimensional lattice.
Obviously, the condition of nonoverlapping of resonances is equivalent to the following form:
In order to satisfy the above condition, we can make the choice
Indeed, one can remark that for any , there exists such that by the definition of the extended block and Proposition 1 (iv). Therefore, for any , and , we have
Thus the nonoverlapping condition of resonances is satisfied only if through the above choices. By means of the nonoverlapping condition of resonances, we can prove that
For this purpose, we can choose such that . Thus,
When choosing and , the Normal Form Lemma can be applied in the domain with , if the following conditions are satisfied:
where .
On the other hand, by Lemma 3 we have . Therefore, in order to satisfy (20), we require
According to the Normal Form Lemma, there exists a symplectic transformation such that the conjugate symplectic map is generated by the analytic function with and
Claim 1.
Under the above conditions, we denote by and the possible times of escape of from at positive and negative times respectively. Then for any , one has if with .
Consider the action variables of , given by
and consider an auxiliary system
After iterating t times, we have , and
Thus,
That is, if .
Claim 2.
Assume that and that there exists satisfying , but ; then with dim and some .
Note that
where we use the Normal Form Lemma. Because of and (22), we have
when . Thus, . That means that . At this time there are only two possible cases: or by the nonoverlapping condition of resonances. However, for any , . In fact, because , we have . Thus, for any and ,
Therefore . Because of property (iii) in Proposition, one has with dim. It is shown that enters some resonant block associated to a lower-dimensional lattice, after going out of the original cylinder only through its base during .
The stability estimates now apply to all blocks simultaneously, if
Then, (23) and (24) are satisfied if we require
On the other hand, in order to keep as small as possible the diameter of the cylinders, at least the order of , it is convenient to put . Due to , . Finally, let and with . Then, when .
From the above discussions, it is clear that for any initial value , the adapted normal form can be constructed in the corresponding extended resonant block. The normal form provides the confinement of the action in . Moreover, must enter one of the other resonant blocks with lower-dimensional multiplicity; after it comes out of the previous one, it arrives in the worst nonresonant block, where it stops. Thus, the stability radius satisfies
where denotes the deviation of the action variables when they get into the nonresonant block and . This number can be estimated directly as follows.
According to Proposition 1 (i), for any , for all and . Then we can prove
by the same technique that is used in the proof of (19). Furthermore, applying Lemma 1 with , and , we have
Now, we can apply the Normal Form Lemma with , and under condition (27). Then there exists a real analytic canonical transformation such that is generated by the analytic function with . Due to , Z only depends on the action variables, and the system becomes
After iterating t times with ,
Thus, . That means that and
Therefore, we have
Note that , so
where .
Combining the above discussion, we can choose the stability time . Precisely,
with . And the perturbation , where
Finally, in order to prevent action variables from going out of , we restrict .
5. Application
An application of the above theorem gives the exponential stability of a nearly integrable symplectic map with a small twist, which often comes from numerical discretization of Hamiltonian systems. Consider a one-parameter family of symplectic map with the parameter s satisfying and the analytic generating function . The small-twist map is given by
The result can be stated as follows.
Theorem 2.
Let be analytic in , where is an open-bounded domain of , is positive, and satisfies (2). Consider the above small-twist symplectic map defined on . If
where
and . Then for any , the symplectic map satisfies
where (t is viewed as iterative times),
Here we only outline the proof of the above theorem since it is almost the same as the proof of Theorem 1. First, in this case, the small denominators became . Therefore, in order to construct the resonant normal form with respect to the K-lattice , we restrict to the subset
The corresponding Normal Form Lemma holds if the quantities are and instead of and respectively. That means that if then there exists a real analytic canonical transformation such that the conjugate symplectic map is generated by the analytic function with and R is exponentially small. Moreover, the same estimates about Z and R hold like in Lemma 2.
On the other hand, the geometric construction also needs some modifications. Precisely, the parameter s enters the definitions of resonant manifold, zone, and block. and should be replaced by and respectively. Thus we obtain the corresponding resonant manifold, zone, and block. We remark that the arguments of Proposition 1 still hold in this case.
Finally, we make the same choices about the parameters and K as before, and the desired estimates can be derived. The details are omitted here.
In what follows, we will discuss the exponential stability of symplectic integrator applied to the integrable Hamiltonian system by Theorem 2. Integrable Hamiltonian systems are a very important class of dynamical systems. In general they possess sufficiently many first integrals. Therefore, they exhibit regular dynamical behavior which corresponds to periodic and quasi-periodic motions in phase space through action-angle variables. However, in many cases, the action-angle variables may not be known explicitly. Then it is difficult to compute solutions of the given integrable Hamiltonian system, and numerical integration is necessary.
After the pioneering work by Channell [1,2], Feng Kang [3,4], and Ruth [5], the symplectic integrator has become a widely interesting subject on the problem of numerically solving Hamiltonian systems. Extensive computer experimentation, by some typical models of Hamiltonian systems, has shown the overwhelming superiority of symplectic algorithms over the conventional non-symplectic ones, especially in simulating the global and structural dynamical behavior of the systems (e.g., see [9,10]). The symplectic algorithm, which is applied to integrable Hamiltonian systems, may be characterized as a perturbation of the phase flow of the integrable system. Here the smallness of the perturbation is described by the time-step size of the algorithm, which also enters into the frequency map of the integrable system. Therefore a numerical stability problem arises.
There has been recently some nice work about the numerical analysis of symplectic algorithms for Hamiltonian systems, for example, by Benettin and Giorgilli [33], Hairer and Lubich [34], Shang [35], and Stoffer [36]. Stoffer proved that the numerical solutions are integrable up to a remainder which is exponentially small with respect to the step-size when a symplectic integrator is applied to an integrable system. However, the result requires that the initial frequency satisfy the strong nonresonance condition. In addition, for nonresonant time-step sizes, Shang [35] and later Ding and Shang [16] obtained the existence results of numerical invariant tori of symplectic algorithms under various non-degeneracy conditions.
We consider an integrable Hamiltonian system (usually not given in action-angle variables)
and apply to it a symplectic algorithm of order r with step size . For an overview on the symplectic integrators, see the book by Hairer, Lubich and Wanner [9]. Because of the Arnold–Liouville theorem, there exists a symplectic transformation such that the new Hamiltonian , which only depends on the action variables, . Here we assume that H and are analytic in and respectively. And satisfies condition (2). In the action-angle variables, Equation (30) takes the simple form
The symplectic integrator becomes .
Lemma 10
([35]). There exists a function which depends on the time-step τ such that it is well-defined and real analytic in the domain for with δ being a sufficiently small positive number so that can be expressed by as follows:
Moreover, there exists L independent of τ such that .
Now Theorem 2 can be applied to if satisfies the estimate in (29) with . Therefore we have the following result.
Theorem 3.
Under the above assumption on , we apply a symplectic method of order r to Equation (30). Let generate an orbit with any initial value in action-angle variables. Then there are positive constants such that for all , the estimates
hold for all m with and .
6. Conclusions
In this paper, we have rigorously established a Nekhoroshev-type theorem for nearly integrable symplectic maps and demonstrated its direct application to symplectic integrators applied to integrable Hamiltonian systems. By employing a resonant normal form approach and a refined geometric covering lemma, we derived explicit and computable exponential stability estimates that successfully cover small-twist regimes. The explicit quantitative dependence of the stability threshold on the twist constant m addresses a significant gap in previous works, thereby extending exponential stability bounds to symplectic algorithms of any order.
Our current results are restricted to systems satisfying a twist-type non-degeneracy condition (). In such cases, the admissible perturbation threshold explicitly deteriorates as the twist constant decreases. A natural and challenging direction for future research is to extend these estimates to fully degenerate or non-twist scenarios, as well as to multiscale highly oscillatory systems. Additionally, developing analogous explicit bounds for symplectic integrators applied to non-integrable but near-equilibrium Hamiltonian flows remains an open problem of great practical interest.
Funding
This research study was funded by the Natural Science Foundation of Inner Mongolia Autonomous Region, grant number 2025ZDLH007, and the Nation Science Foundation for Distinguished Young Scholars of Inner Mongolia Autonomous Region of China, grant number 2023JQ16.
Data Availability Statement
No new data were created or analyzed in this study. Data sharing is not applicable to this article.
Acknowledgments
The author thanks Zaijiu Shang and Bo Xie for helpful discussions.
Conflicts of Interest
The author declares no conflicts of interest.
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