Abstract
In this paper, we consider a generalized Boussinesq equation with hinged boundary conditions. We first observe that the nonlinear terms possess a TAME structure and then prove a Nekhoroshev-type result, which implies that any solution with a small initial value remains small in a high-index Sobolev norm over a power long time.
Keywords:
Nekhoroshev-type result; generalized Boussinesq equations; tame modulus structure; Birkhoff normal form MSC:
37K55
1. Introduction
Background
Nekhoroshev theory is established by Nekhoroshev [1] to study the long-time stability of nearly integrable Hamiltonian systems:
where is a bounded domain, h satisfies the so-called steepness condition, f is analytic, and is a small scalar. The author obtained that for , with suitable positive constants Here, a and b are usually called stability exponents, which depend on the steepness condition. This fact shows that a solution remains close to the initial value over an exponentially long time scale. The optimal result on a and b was obtained in [2] with a generic steepness condition. Later, similar results for (1) were proven to be subject to some special steepness conditions, such as convex conditions [3], quasi-convex ones [4], and rational convexity ones [5,6].
For the following degenerate Hamiltonian system:
where degenerate variables are Nekhoroshev [1] assumed that is convex, f is analytic, and the degenerate variables are bounded in principle only by , then the author obtained that there exist positive constants such that if , then for where is the time of solutions escaping out of the boundary U. Since then, the Nekhoroshev theory for degenerate Hamiltonian systems was greatly developed and enriched; see [7,8,9] and the references therein.
In the infinite-dimensional Hamiltonian partial differential equations (HPDEs), additional challenges arise because of the resonance problem of infinitely many frequencies. The first result is obtained by Bourgain [10] for some typical nonlinear wave equations (NLWs) and nonlinear Schrödinger equations (NLSs) subject to Dirichlet boundary conditions. The author proved a power long stability time for solutions with smooth initial values. Comparing with the exponentially long time scales result in [1] for finite-dimensional Hamiltonian systems, infinite-dimensional systems can only attain power long time scales. For this reason, Bougain’s result is referred to as a Nekhoroshev-type result.
Later, Bambusi and Grébert [11] provided similar results for some general NLWs and NLSs under Dirichlet and periodic boundary conditions. It is worth emphasizing that their proof is based on the famous Tame structure, which is first observed in [11]. Tame structure means that most of the nonlinear terms are so small that can be neglected. Tame structure is usually related to the local property of eigenfunctions, which is a decay property of the Fourier coefficients in the Fourier series expansion of the eigenfunctions. Tame structure is very important and it is widely used in study of some HPDEs such as NLSs and NLWs [12,13]. In particular, based on Tame structure, some Nekhoroshev-type results are proved; for some related results we refer to [14,15,16,17,18] and the references therein.
In this paper, we are concerned with the Boussinesq equation, a shallow water wave equation that admits solitary wave solutions. Boussinesq [19,20] first consider the following equation
and obtained solitary wave solutions. Later, Bona and Sachs [21] proposed to study the following Boussinesq equation:
The authors obtained some solutions corresponding to solitary waves and proved the global existence of smooth solutions. Subsequently, numerous variants of the Boussinesq equation have emerged. We refer to refs. [22,23,24] for generalized Boussinesq models, refs. [25,26] for the Oberbeck–Boussinesq Equation, and refs. [27,28] for a Boussinesq system in higher dimensions.
As is widely recognized, there are many perspectives to investigate dynamical systems. For example, the authors [29] consider a kind of fractional order system and provide the dynamical behavior by analyzing the characteristics of the explicit solutions around the equilibrium point. Recently, from the perspective of infinite-dimensional dynamical systems, Shi et al. [30] have systematically investigated the following generalized Boussinesq equation with hinged boundary conditions:
Here, the hinged boundary conditions are derived from the nonlinear Beam equation (NLB) [31]. The authors observed that the Euler–Bernoulli (E-B) operator in (5) has a discrete spectrum. Then, they applied the KAM method to obtain KAM tori and the corresponding quasi-periodic solutions for (5). The result indicates that under a small perturbation, most of the invariant tori are preserved with only slight deformations. Correspondingly, there exist a large number of quasi-periodic solutions with small initial values on these invariant tori. The KAM-type result is a kind of stability that lasts forever. A natural question arises: For this equation, does a Nekhoroshev-type result hold? That is, due to the breakdown of some invariant tori, will certain small solutions move away from the original invariant tori? If so, what is the rate of this divergence?
In this paper, we aim to investigate the Nekhoroshev-type problem for the following generalized Boussinesq equation with hinged boundary conditions:
Here, a parameter m is introduced to satisfy some non-degeneracy conditions. By verifying the Tame structure of nonlinear terms and the strong non-resonance property of its frequencies, we prove a normal-form theorem and then derive a Nekhoroshev-type dynamical theorem, which demonstrates that small initial value solutions remain small in the high-index Sobolev norm over a power-law long time scale.
The proof of this paper strongly relies on the Tame structure of nonlinear terms, which determines whether a normal form exists for the Boussinesq equation. The Tame structure is usually related to the locality of eigenvectors. The locality means that the Fourier coefficients of the Fourier series expansion of the eigenvectors possess decay property. By the decay property of the eigenvectors of the Sturm–Liouville operator of NLSs and NLWs, the authors [11] prove that the nonlinear terms possess a Tame structure. In this paper, we will prove that the eigenvectors of the Euler–Bernoulli operator also possess locality, and consequently admit Tame structure for the Boussinesq Equation (6).
The proof also requires the strong non-resonance property of the eigenvalues (frequencies), which determines whether a normal form exhibits the Nekhoroshev-type dynamical behavior. The authors [11] have already proven that under Dirichlet boundary conditions, the frequencies of NLS and NLW possess the strong non-resonance property; however, under periodic boundary conditions, the result does not hold again. In this paper, we will prove that the strong non-resonance property still holds for (6).
In recent years, the research on the Nekhoroshev-type theory mainly focus on HPDEs with Sturm–Liouville operator, for example, NLS [16,17,18,32,33,34], NLW [35], nonlinear Beam equation (NLB) [36], and nonlinear Klein–Gordon equation (NLKG) [14]. To the best of our knowledge, our result is the first Nekhoroshev-type result for HPDEs with Euler–Bernoulli operator. Under periodic boundary conditions, there has been some progress made regarding the Nekhoroshev problem for NLS [35]. By this motivation, in the future, we will investigate the Nekhoroshev problem for the Boussinesq equation with periodic boundary conditions. The main challenge lies in the lack of strong non-resonance due to multiple eigenvalues ().
The remainder of this paper is organized as follows:
In Section 2, we summarize the main results of this work, including a normal form theorem and a Nekhoroshev-type dynamical behavior theorem for (6). In Section 3, we first verify Tame structure of (6) by exploiting the locality of the eigenvectors of the Boussinesq equation and then establish sharp estimates for the nonlinear terms. In Section 4, we confirm the strong non-resonance property of the frequencies. In Section 5, we first prove an iteration lemma, then use this iteration lemma to establish the normal form theorem, and finally apply this normal form theorem to prove the dynamical theorem. In Appendix A, we will give the Hamiltonian structure for (6) along with its associated eigenvalues, eigenvectors, and symplectic basis. In Appendix B, we give the detailed proof of Lemma 7 (iteration lemma), which concerns the small divisor problem and the entire iterative procedure.
2. Main Result
The Hamiltonian structure of (6) is very important for Nekhoroshev-type results. For convenience, the Hamiltonian structure of the Boussinesq equation is given in Appendix A, including its eigenvalues, eigenvectors, symplectic basis, and other relevant content.
By Lemma A2 in Appendix A, we consider the Hamiltonian function of Boussinesq (6):
with actions and frequencies for
Let be a phase space, where
is a complex Hilbert space endowed with the standard norm with . Here, is constructed by symplectic basis , where are eigenfunctions of frequencies and are weights. Moreover, is endowed with symplectic structure
Let be an open ball in with origin as the center and as radius. Let C be a constant independent of R. Denote For , and define with
Theorem 1 (Dynamical Behavior Theorem).
Let be the solution of (7) with initial value at If and then we have .
The proof of Theorem 1 relies on the following normal form theorem.
Theorem 2 (Normal Form Theorem).
For any , there exists a such that for any we can construct an analytic canonical transformation which takes the Hamiltonian (7) into the form
Moreorve, we have the following:
is a polynomial with degree at most and depends only on ;
is a small term with the estimate
is close to the identity with the estimate
Theorems 1 and 2 will be proven in Section 5.
Remark 1.
We consider the Boussinesq Equation (6) from the perspective of infinite-dimensional dynamical systems. By the eigenvectors of the Euler–Bernoulli operator, we construct an invariant subspace endowed with a symplectic structure such that the Hamiltonian vector field of Equation (6) is analytic and bounded, which implies that the Cauchy problem for (6) is well-posed on .
3. Tame Structure and Tame Norm
In this section, we will verify the Tame structure of the generalized Boussinesq equation and estimate the vector field of nonlinear terms.
3.1. Tame Structure
At first, we note that the Moser inequality in [37] shows
with and This inequality is important in dealing with nonlinear terms of HPDEs on exponentials basis . It means that
for with large N and that is, most parts of nonlinear terms in the vector field are not relevant since their norms are small.
To study HPDEs with general basis fulfilling some local property, Bambusi and Grébert [11] generalized Moser inequality from exponential basis to general basis and called it Tame (modulus) property. In this subsection, we will briefly summarize their works.
We first give some notations and definitions. Let
For we denote its r-SF (r-linear symmetric form) by
Definition 1.
is a tame map on the general basis if
for some with
Remark 2.
For a vector field rewrite , with being the l-th component of X and Denote the r-SF of vector field X by Then, one has , with being the r-SF of .
Definition 2.
For , denote its modulus by with
and
For a vector field , its modulus is denoted by
Now, we can introduce the famous Tame structure.
Definition 3.
A vector field has a Tame structure if its modulus is a Tame map. For , we denote by
with being its vector field.
Remark 3.
By Definitions 1–3, for and , one can obtain
on the basis Similar to the discussion for Moser inequality, (14) means that most parts of the vector fields are so small that can be ignored.
Then, Bambusi and Grébert provided an efficient way to verify the Tame structure.
Lemma 1
(Theorem 3.6 [11]). A vector field X has Tame structure on the basis if the following assumptions are true:
(i) are well localized on exponentials, namely
for a constant
(ii) X has a Tame structure with respect to exponentials, namely , where
is an isomorphism with fulfilling and
Remark 4.
By Definitions 1–3 and Lemma 1, a bounded linear map has a Tame structure; has a Tame structure if X and Y have Tame structures.
3.2. The Verification of Tame Structure
According to [11], it is simpler to verify Tame structure in real variables, so we introduce the following transformation:
By (A6) and (17), the Poisson bracket shows
and the symplectic structure takes the form
Thus, the Hamiltonian system (A7) is equivalent to
where the Hamiltonian function is
with
and
Obviously, the action takes the form and
is the solution of (6).
Below, we will verify the Tame structure. The idea is to decompose the original vector field map into several component maps. After verifying the Tame structure in each component map, we can obtain the Tame structure in the original map.
Proposition 1.
The vector field of P in (21) has Tame structure.
Proof.
Firstly, we verify Tame structure in
with , , and Obviously, is a linear bounded map, and hence has Tame structure by Remark 4.
Secondly, we seek Tame structure in by Lemma 1 Recall that is a basis. By Euler’s formula, we have
Since it follows that Thus, are well localized with respect to the exponentials according to (15). Thus, in Lemma 1 is satisfied.
Consider
where is Sobolev space and Let be the trilinear form of such that
Then,
Using Moser inequality twice, we have
It means that has Tame structure with respect to the exponentials. This proves in Lemma 1, and we have thus verified Lemma 1. Thus, has Tame structure on the basis .
At last, has Tame structure by Remark 3. Thus, we prove Proposition 1. □
Remark 5.
Proposition 1 shows that the nonlinear terms has Tame structure with respect to real variables Similarly, it is true for complex variables .
3.3. Tame Norm
In this subsection, we will estimate the small part of nonlinear terms in the vector field by the Tame norm.
Firstly, we decompose the nonlinear terms. Fixing one can rewrite z as with and We decompose the nonlinear term P in (22) into where
is the small part and is the main one. Below, we will estimate while will be dealt with in the homological equation in Section 5.
We first introduce the Tame norm. We then rewrite with Denoted by
with
Definition 4.
(i) For and , the Tame norm of is defined as the infimum of constants such that
and it is denoted by In particular, the Tame norm of is written as
(ii) For a nonhomogeneous function with , denote by
Those with finite norm, in particular, are written as
Moreover, is a Banach space with norm
At last, similar to Lemma 4.11 in [11], we can give the estimate of the homogeneous polynomial in the vector field.
Proposition 2.
For and a fixed N, the vector field has the following estimate:
Remark 6.
For a nonhomogeneous polynomial one can rewrite with homogeneous polynomial and We observe that the homogeneous polynomial has a zero of at least order 3 in Applying Proposition 2 to each with one still obtains
4. Non-Resonant Condition
In this section, we aim to verify that the frequencies of the Boussinesq equation possess the strong non-resonance property:
Definition 5
(r-NR [11]). One says that the frequencies are r-NR non-resonant, if there exist constants and such that for any N large enough, we have
for all with and
The verification about the frequency non-resonance requires the non-degeneracy property and an appropriate separation property of frequencies.
Lemma 2.
Denote by One has
with and
Proof.
It is obvious that D is a Vandermonde determinant. Similar to [11,35], one has by direct calculations. Thus, Lemma 2 is proven. □
Remark 7.
In fact, this Lemma provides the Rüssmann non-degeneracy condition.
Lemma 3
(Proposition of Appendix B in [35]). For K-independent vectors , with , and an arbitrary vector , there is an such that
By Lemmas 2 and 3, it follows that
Corollary 1.
For any m and vector with one obtains .
When the frequencies are degenerate, Xu et al. [38,39] gave an effective way to estimate the Lebesgue measure.
Lemma 4
(Lemma 1.1 [38]). Suppose that is an m-th differentiable function on the closure of I, where is an interval. Let If there exists a constant such that for we have the Lebesgue measure with
The following inequalities are summarized in [38].
Lemma 5
(Lemma 1.2, 1.3 [38]). Let and Then, we have
and
Remark 8.
By Corollary 1, Lemma 4, and Remark 8, we have the following estimate.
Lemma 6.
For any , there is a full-measure subset such that the nonresonance condition (r-NR) holds if .
5. Proofs of the Main Results
In this section, we will prove Theorems 1 and 2. It is based on an iteration lemma. We first introduce the so-called -normal form, which is used in the iteration lemma.
Definition 6
(Definition 2.12 [11]). For parameters and a fixed one says that
is in -normal form with respect to ω, if for the subscript such that we have
Remark 9.
By Definitions 5 and 6, a polynomial f in -normal form with respect to ω depends only on actions if ω is r-NR nonresonant.
We also need some iterative parameters.
means the step length of the iteration. In general, a bigger means a more accurate estimate.
means the r-step of the iteration.
means a complex ball with the radius
means the loss of radius in each iteration.
means the radius of a complex ball after r step.
Lemma 7 (Iteration Lemma).
For all and a fixed , there exist a positive number and a canonical transformation such that the Hamiltonian system (19) can be transformed into
Moreover, for any one has the following results.
The transformation satisfies
The -degree polynomial has a zero of order 4 at origin. Moreover, is in -normal form with
The polynomial has a degree no more than and an order of zero of at origin. Moreover, it has
and are small terms with
and
Remark 10.
Denote by Let R be small enough such that By (25), the canonical transformation satisfies
which means
By (30), the inverse exists with
This means
Proof of Lemma 7 being similar to that in [11] and only the exponent of R is different. For convenience, we provide the proof in Appendix B.
We now use Lemma 7 to prove normal-form Theorem 2.
Proof of Theorem 2.
At last, we use Theorem 2 to prove Theorem 1.
Proof of Theorem 1.
By Remark 10, one has
for R small enough. Denote by the actions at .
Since only depends on and one has
By Remark 9, one obtains
According to (10), (32), and (33), it follows that
Denote by the escape time of the flow from i.e., Then, the flow with initial value satisfies
for Integrating (34) from to one has
Since and one obtains
It follows that
By Remark 10, one acquires that
for and
6. Conclusions
We investigate a class of Boussinesq equation associated with a symplectic structure under hinged boundary conditions and derive a Nekhoroshev-type dynamical theorem. The main result demonstrates that small initial-value solutions remain small in the high-index Sobolev norm over a power-law long time scale.
Our result is a complement to the KAM-type results. The KAM theory reveals the preservation of most invariant tori under small perturbations and the quasi-periodic solutions on these tori are always stability. The Nekhoroshev-type result further quantifies the long-term behavior of small solutions, clarifying their “stable duration” after the partial breakdown of invariant tori.
Notably, our result should be contextualized within the broader framework of long-term dynamics in Hamiltonian systems, particularly in relation to Arnold diffusion. As a fundamental global instability phenomenon in non-integrable Hamiltonian systems, Arnold diffusion describes the slow global drift of certain solutions across different action-level regions over extremely long time scales. The Nekhoroshev-type theorem and Arnold diffusion represent two complementary aspects of the systems dynamical behavior: the former characterizes the local boundedness of small solutions before the onset of global drift (i.e., the power-law estimate of the “pre-escape time”), while the latter predicts the potential long-term global instability of the system. Thus, our result directly describes a “temporal boundary” for Arnold diffusion: the global drift of Arnold diffusion can only occur after the “stable period” predicted by Nekhoroshev theory.
Ultimately, our result enables the construction of a complete dynamical understanding of the Boussinesq equation: local stability (KAM-type), transitional boundedness (Nekhoroshev-type), and global drift (Arnold diffusion).
Author Contributions
Formal analysis, X.C.; Investigation, S.J.; Resources, S.J.; Writing—review and editing, X.C. and S.J.; Supervision, S.J. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Data Availability Statement
The original contributions presented in this study are included in the article. Further inquiries can be directed to the corresponding author.
Acknowledgments
The authors thank Junxiang Xu for his encouragement and help. The authors author also thanks Shidi Zhou for the detailed and fruitful discussions.
Conflicts of Interest
The authors declare no conflicts of interest.
Appendix A. Hamiltonian Structure
In [30], the authors consider Equation (5) with hinged boundary conditions and provide the Hamiltonian structure by the eigenvalues and eigenvectors of the Euler–Bernouli operator. Since the difference of (5) and (6) is only by the term , it leads to a translation of the spectrum. Thus, the Hamiltonian structure of (6) is similar to (5). However, for the convenience of readers, we present the detailed proof below.
Lemma A1
(Spectrum of the Euler–Bernoulli operator [30]). Consider the spectrum of the Euler–Bernoulli operator with Obviously,
is a linear operator in . Subject to hinged boundary conditions, L has eigenvalues
and the associated eigenfunctions
where
Proof.
First, note that if this is just the situation considered by Shi in [30]. Thus, in the same way as in [30], we can prove this lemma and so we omit the details for simplicity. □
Let be a phase space, where
is a complex Hilbert space endowed with the standard norm , where . Let
Then, is an invariant subspace of vector field and is the ordinate space of under the basis .
Note that in (A2) is not a symplectic basis. By computing the Poisson product we will show becomes a symplectic basis by choosing
where are usually called weights.
Lemma A2
(Hamiltonian structure [30]). Consider the problem (6). Let v such that then (6) reads
In , we define a weak derivative operator
in a -inner product space. Let
where and Then, J is an antisymmetric operator.
Denote by the gradient with respect to w in the inner. Then, (A4) becomes a Hamiltonian system
where
with
The Poisson structure is defined by
with
Moreover, under the basis ,
thus, is a symplectic basis and the corresponding symplectic structure is
In the complex variables , the Hamiltonian system (A5) reads
where
with actions and frequencies for Moreover, we can verify that
is the solution of (6) with
Proof.
The proof is in the same way as in [30], and thus we omit the details for simplicity. □
Appendix B. Proof of Iteration Lemma
To prove Lemma 7, we will introduce the Tame norm and state some lemmas involving Tame structure, which are already proven in some references. The following lemma shows that Tame strurcture in homogeneous polynomials is not lost during the Poisson bracket.
Lemma A3
(Lemma 4.13 [11]). Assuming one has and
for all
Let be a Hamiltonian, whose Hamiltonian vector field : is analytic. Denote by the time t flow of .
Lemma A4
(Lemma 4.16 [11]). For an analytic function and the time t flow of with one has
with and
The following lemma deals with the homological equation with Tame structure.
Lemma A5
(Lemma 4.17 [11]). Let be a polynomial, whose order of is no more than 2. There exist χ and , satisfying the homological equation
where and is in -normal form. Moreover,
The following lemma shows the estimates of high order terms of and f in (A12). For an analytic function , rewrite with
Lemma A6
Proof of Lemma 7.
At the initial step, that is, let The lemma obviously holds.
Let Assume that the lemma is valid at the r-th step. We need to prove that estimates (25)–(29) for (24) still hold at the -th step.
Let
where the main term
with and the small part . Then, we have
We will construct a Lie transform which is generated by a Hamiltonian , such that fulfils estimates (25)–(29) at the -th step. For this purpose, we rewrite (24) as
Denote by
In (A18), is already in normal form with the degree of 4. Then
To estimate , we consider the homoligical equation
where is a normal form. By Lemma A5, we obtain
and
According to Lemma A4 and (A24), we have
This proves that (25) holds at -th step.
Denote by with By (A24), it follows that
Here, is used.
Denote
Obviously, the degree of is while the order of zeros of is . By (A27) and (A28), we get
Thus, we proved (27) at the -th step.
Let
and
It follows that
Hence, we have constructed such that with estimates (25)–(27) at the -th step.
At last, we need to prove that (28) and (29) hold at the -th step, in other words, to estimate and
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