New variational characterization of periodic waves in the fractional Korteweg-de Vries equation
Fabio Natali, Uyen Le, and Dmitry E. Pelinovsky

TL;DR
This paper introduces a new variational approach to characterize periodic waves in the fractional Korteweg-de Vries equation, enabling a detailed analysis of their existence and spectral stability based on energy minimization principles.
Contribution
It presents a novel variational characterization of periodic waves as constrained minimizers of the quadratic energy form, expanding understanding of their stability and existence regions.
Findings
Unfolds the existence region of periodic waves.
Provides a sharp spectral stability criterion.
Establishes a monotonicity condition for stability analysis.
Abstract
Periodic waves in the fractional Korteweg-de Vries equation have been previously characterized as constrained minimizers of energy subject to fixed momentum and mass. Here we characterize these periodic waves as constrained minimizers of the quadratic form of energy subject to fixed cubic part of energy and the zero mean. This new variational characterization allows us to unfold the existence region of travelling periodic waves and to give a sharp criterion for spectral stability of periodic waves with respect to perturbations of the same period. The sharp stability criterion is given by the monotonicity of the map from the wave speed to the wave momentum similarly to the stability criterion for solitary waves.
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
New variational characterization
of periodic waves in the fractional Korteweg–de Vries equation
Fábio Natali
Departamento de Matemática - Universidade Estadual de Maringá, Avenida Colombo 5790, CEP 87020-900, Maringá, PR, Brazil
,
Uyen Le
Department of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada, L8S 4K1
and
Dmitry E. Pelinovsky
Department of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada, L8S 4K1
Department of Applied Mathematics, Nizhny Novgorod State Technical University, 603950, Russia
Abstract.
Periodic waves in the fractional Korteweg–de Vries equation have been previously characterized as constrained minimizers of energy subject to fixed momentum and mass. Here we characterize these periodic waves as constrained minimizers of the quadratic form of energy subject to fixed cubic part of energy and the zero mean. This new variational characterization allows us to unfold the existence region of travelling periodic waves and to give a sharp criterion for spectral stability of periodic waves with respect to perturbations of the same period. The sharp stability criterion is given by the monotonicity of the map from the wave speed to the wave momentum similarly to the stability criterion for solitary waves.
Key words and phrases:
Periodic traveling waves, Existence, Spectral stability, Fractional Korteweg–de Vries equation
2000 Mathematics Subject Classification:
76B25, 35Q51, 35Q53.
1. Introduction
One popular model for wave dynamics in a shallow fluid is expressed by the fractional Korteweg-de Vries (KdV) equation [8], which is written in the form:
[TABLE]
where is a real function of and represents the fractional derivative defined via Fourier transform as
[TABLE]
In what follows we consider the periodic traveling waves with the normalized period , for which is restricted on and is restricted on .
The fractional KdV equation (1.1) admits formally the following conserved quantities:
[TABLE]
[TABLE]
and
[TABLE]
which have meaning of energy, momentum, and mass respectively.
Local well-posedness of the Cauchy problem for the fractional KdV equation (1.1) was proven in [1] for the initial data in Sobolev space or for . Local well-posedness in for was proven in [31], where the authors also showed existence of weak global solutions in energy space for and for and small data. More recently, local well-posedness in was proven in [33] for and . Together with the conservation of energy, the latter result implies global well-posedness in the energy space for . Traveling solitary waves were characterized as minimizers of energy subject to the fixed momentum in [32] for and in [2] for .
Existence and stability of traveling periodic waves were analyzed by using perturbative [25], variational [10, 13, 24], and fixed-point [12] methods. From the variational point of view, the traveling periodic waves are characterized as constrained minimizers of energy subject to fixed momentum and mass for every [24]. Spectral stability of periodic waves with respect to perturbations of the same period follows from computations of eigenvalues of a -by- matrix involving derivatives of momentum and mass with respect to two parameters of the periodic waves, see [16, 22] for review.
The following two recent works are particularly important in the context of the present study. In [28], perturbative and fixed-point arguments for single-lobe periodic waves were reviewed and a threshold was found on bifurcations of the small-amplitude periodic waves at , where
[TABLE]
This threshold separates the supercritical pitchfork bifurcation of single-lobe periodic solutions from the constant solution for and the subcritical pitchfork bifurcation for . It is also confirmed in Lemmas 2.2 and 2.3 of [28] that the small-amplitude periodic waves are constrained minimizers of energy for and subject to fixed momentum and mass, although the count of negative eigenvalues of the associated Hessian operator and the -by- matrix of constraints is different between the two cases.
In [21], the positive single-lobe periodic waves were constructed by minimizing the energy subject to only one constraint of the fixed momentum . It was shown that for every and for every positive value of the fixed momentum each such minimizer is degenerate only up to the translation symmetry and is spectrally stable. No derivatives of the momentum with respect to Lagrange multipliers is used in [21].
The main purpose of this work is to develop a new variational characterization of the periodic waves in the fractional KdV equation (1.1). These periodic waves are constrained minimizers of the quadratic part of the energy subject to the fixed cubic part of the energy and the zero mean value, see [29] for a similar approach in the context of the fifth-order KdV equation. The existence region of the periodic waves with the zero mean for near is unfolded in the new variational characterization. Moreover, spectral stability of periodic waves with respect to perturbations of the same period is obtained from the sharp criterion of monotonicity of the map from the wave speed to the wave momentum similarly to the stability criterion for solitary waves, see [9, 26, 30, 37] for review.
Let us now explain the main formalism for existence and stability of traveling periodic waves. A traveling wave solution to the fractional KdV equation (1.1) is a solution of the form , where is a real constant representing the wave speed and is a smooth -periodic function satisfying the stationary equation:
[TABLE]
where is another real constant obtained from integrating equation (1.1) in . If we require that be a periodic function with the zero mean value, then is defined at an admissible solution by
[TABLE]
The solution also depends on the speed parameter but we often omit explicit reference to this dependence for notational simplicity. The momentum and mass computed at the solution are given by
[TABLE]
Note that the choice (1.6) is precisely the relation excluded from the statement of Theorem 1 in [21]. The relation (1.6) closes the stationary equation (1.5) as the boundary-value problem
[TABLE]
where is the projection operator reducing the mean value of -periodic functions to zero.
Among all possible periodic waves satisfying the boundary-value problem (1.8), we are interested in the single-lobe periodic waves, according to the following definition.
Definition 1.1**.**
We say that the periodic wave satisfying the boundary-value problem (1.8) has a single-lobe profile if there exist only one maximum and minimum of on . Without the loss of generality, the maximum of is placed at .
The stationary equation (1.5) is the Euler–Lagrange equation for the augmented Lyapunov functional,
[TABLE]
so that . Computing the Hessian operator from (1.9) yields the linearized operator around the wave
[TABLE]
The linearized operator determines the spectral and linear stability of the periodic wave with the profile . By using and substituting equation (1.5) for , we obtain
[TABLE]
Replacing the nonlinear equation (1.11) by its linearization at the zero solution yields the linearized stability problem
[TABLE]
where is given by (1.10). Since depends only on , separation of variables in the form with some and reduces the linear equation (1.12) to the spectral stability problem
[TABLE]
The spectral stability of the periodic wave is defined as follows.
Definition 1.2**.**
The periodic wave is said to be spectrally stable with respect to perturbations of the same period if in . Otherwise, that is, if in contains a point with , the periodic wave is said to be spectrally unstable.
In the periodic case, since is not a one-to-one operator, the classical spectral stability theory as the one in [20] can not be applied. To overcome this difficulty, a constrained spectral problem was considered in [22]:
[TABLE]
where \mathcal{L}\big{|}_{X_{0}}=\Pi_{0}\mathcal{L}\Pi_{0} is a restriction of on the closed subspace of periodic functions with zero mean,
[TABLE]
A specific Krein-Hamiltonian index formula for the constrained spectral problem (1.14) determines a sharp criterion for spectral stability of periodic waves [6, 16, 23, 37]. This theory has been applied to the generalized KdV equation of the form:
[TABLE]
where . For nonlocal evolution equations, spectral stability of periodic traveling waves was studied in [5] in the context of the Intermediate Long-Wave (ILW) equation,
[TABLE]
where is the the linear operator is defined by
[TABLE]
with . In the limit , the ILW equation reduces to the KdV equation (1.16) with , whereas in the limit , the ILW equation reduces to the Benjamin–Ono (BO) equation. Alternatively, these two limiting cases coincide with the fractional KdV equation (1.1) with and respectively. Stability of periodic waves for these limiting cases were previously considered in [7] by exploring the fact that the corresponding periodic waves are positive with positive Fourier transform. In [5], periodic waves of the ILW equation with were considered under the zero mean constraint, whereas Galilean transformation was used to connect periodic waves with zero mean and periodic wave with positive Fourier transform.
Another important case of the fractional KdV equation (1.1) is the reduced Ostrovsky equation
[TABLE]
which corresponds to . Periodic waves of the reduced Ostrovsky equation naturally have zero mean and smooth periodic waves exist in an admissible interval of the wave speeds for [17] and more generally for every [11]. Spectral stability of such periodic waves with zero mean was obtained for in [17] from a sharp criterion given by monotonicity of the map from the wave speed to the wave momentum. Interesting enough, the family of smooth periodic waves terminates for every at a peaked periodic wave [11, 18] and the peaked periodic wave was shown to be linearly and spectrally unstable [18, 19].
The following theorem presents the main results of this paper.
Theorem 1.3**.**
Fix . For every , there exists a solution to the boundary-value problem (1.8) with the even, single-lobe profile , which is obtained from a constrained minimizer of the following variational problem:
[TABLE]
Assuming that for the linearized operator at , there exists a mapping in a local neighborhood of such that and the spectrum of in includes
- •
a simple negative eigenvalue and a simple zero eigenvalue if ,
- •
a simple negative eigenvalue and a double zero eigenvalue if ,
- •
two negative eigenvalues and a simple zero eigenvalue if .
The periodic wave is spectrally stable if and is spectrally unstable with exactly one unstable (real, positive) eigenvalue of in if .
Remark 1.4**.**
If has a simple negative eigenvalue, we show that the assumption
[TABLE]
in Theorem 1.3 is satisfied. Moreover, we show that if this assumption is not satisfied, then the periodic wave with the profile is spectrally unstable but is not differentiable at .
In Section 2, we prove existence of solutions of the boundary-value problem (1.8) with an even, single-lobe profile in the sense of Definition 1.1 for every fixed and . This result is obtained from the existence of minimizers in the constrained variational problem (1.19) at every fixed using classical tools of calculus of variations in the compact domain . Furthermore, we prove with the help of Lagrange multipliers that each constrained minimizer in yields a proper solution to the boundary-value problem (1.8) for the same . Moreover, the solution is smooth in . The first assertion of Theorem 1.3 is proven from Theorem 2.1, Corollary 2.2, and Proposition 2.4.
In Section 3, we characterize the number and multiplicity of negative and zero eigenvalues of the linearized operator in The linearized operator is considered for the periodic wave with the profile and the speed . We find in Lemma 3.8 a sharp condition for continuation of the zero-mean solution to the boundary-value problem (1.8) as a smooth family with respect to parameter in a local neighborhood of . For each value of , for which the family is a function of , we show in Lemma 3.14 that has two negative eigenvalues if and one simple negative eigenvalue if . In addition, has a double zero eigenvalue if and a simple zero eigenvalue if . The zero eigenvalue of always exists due to the translational symmetry implying . The second assertion of Theorem 1.3 is proven from Lemma 3.8, Corollary 3.11, and Lemma 3.14.
The sharp characterization of negative and zero eigenvalues of the linearized operator is one of the most interesting applications of the new variational formulation. It allows us to discuss the non-degeneracy result on simplicity of the zero eigenvalue obtained in Proposition 3.1 of [24] based on an extension of Sturm’s oscillation theory. The non-degeneracy result does not hold for because a continuation of the solution to the stationary equation (1.5) with respect to parameters and passes a fold point in the sense of the following definition.
Definition 1.5**.**
We say that the solution to the stationary equation (1.5) is at the fold point if the linearized operator at has a double zero eigenvalue.
If is fixed and is labeled as with , the fold point located at induces the fold bifurcation: no branches of single-lobe solutions exist for and two branches of single-lobe solutions exist for . The linearized operator has one negative eigenvalue for one branch of single-lobe solutions and two negative eigenvalues for the other branch. The fold bifurcation occurs if , as follows from the Stokes expansions in [28]. We show that this fold bifurcation is unfolded in the boundary-value problem (1.8) so that only one branch of single-lobe solutions exists on the parameter plane from both sides of the fold point. These results are discussed in Remarks 2.8, 3.13, and 3.15 using the Galilean transformation in Proposition 2.5 and the Stokes expansion in Proposition 2.6.
In Section 4, we present the spectral stability result which yields the last assertion of Theorem 1.3. For each value of , for which the family is a function of , we prove in Lemma 4.1 that the periodic wave is spectrally stable in the sense of Definition 1.2 if and unstable if . Moreover, in the case of spectral instability, there exists exactly one unstable (real, positive) eigenvalue of in . Thanks to the correspondence in (1.7), the spectral stability result reproduces the criterion for stability of solitary waves [9, 26, 30, 37]. Note that this scalar criterion obtained from the new variational characterization of periodic waves replaces computations of a matrix needed to establish if the periodic wave is a constrained minimizer of energy subject to fixed momentum and mass as in [24]. In particular, the sharp criterion based on the sign of works equally well in the cases when the linearized operator has one or two negative eigenvalues, see Remark 4.3.
We note that if and the periodic wave with profile is spectrally stable, then it is also orbitally stable in according to the standard technique from [3], assuming global well-posedness of the fractional KdV equation (1.1) in for . For such results on the orbital stability of the periodic wave, we do not need to use the non-degeneracy assumption on the -by- matrix of derivatives of momentum and mass with respect to parameters and stated in Theorem 4.1 in [24].
We show the validity of Remark 1.4 in Lemma 4.4, Corollary 4.5, Lemma 4.6, and Lemma 4.7. Because all constrained minimizers of energy subject to fixed momentum in [21] are characterized by only one simple negative eigenvalue of the linearized operator , the assumption in Theorem 1.3 is satisfied for all solutions in [21]. Based on the numerical evidence, we formulate the following conjecture.
Conjecture 1.6**.**
Let be the solution to the boundary-value problem (1.8) with obtained from Theorem 1.3. For every and every , .
For further comparison with the outcomes of the variational method in [21], we mention that our method allows us (i) to construct all single-lobe periodic solutions of the stationary equation (1.5) on the parameter plane, (ii) to extend the results for every , (iii) to filter out the constant solution from the single-lobe periodic solutions, (iv) to find more spectrally stable branches of local minimizers, and (v) to unfold the fold point in Definition 1.5.
As an illustrative example, we consider the simplest case (the BO equation). Fig.1.1 (left) shows the exact dependence computed for the mean-zero single-lobe periodic waves with the profile satisfying the boundary-value problem (1.8).
In comparison, Fig.1.1 (right) shows the outcome of the variational method in [21] on the parameter plane , where and is chosen in the stationary equation (1.5) and is the period-normalized momentum . Note that the periodic wave with the single-lobe profile is positive and has nonzero mean if and , see the exact solutions (5.1).
There exists a constrained minimizer of energy for every as in Theorem 1 in [21], however, it is given by the constant solution for and with the exact relation (solid black curve) and by the single-lobe periodic solution for and with the exact relation (solid blue curve). The constant solution is a saddle point of energy for (dotted black curve). As a result, the family of constrained minimizers of energy is piecewise smooth and a transition between the two minimizers occur at . Only the single-lobe solutions are recovered on the parameter plane shown on Fig.1.1 (left). In the end of Section 5, we show that the bifurcations of minimizers of energy become more complicated for with more branches of local minimizers and saddle points of energy, all are unfolded on the parameter plane.
Spectral stability of solitary waves for the fractional KdV equation (1.1) was recently considered in [4] for . Solitary waves were found to be spectrally and orbitally stable if and unstable if with an open question on the borderline case . The result of [4] relies on the scaling invariance of the fractional KdV equation on infinite line . Since this scaling invariance is lost in the periodic domain, we have to rely on the numerical computations of the existence curve on the plane in order to find the parameter regions where the periodic waves are spectrally stable or unstable.
Numerical computations of the existence curve on the parameter plane for different values of are reported in Section 5. For the integrable cases and , the existence curve can be computed exactly. For , we show numerically that for every , hence the corresponding periodic waves are spectrally stable. For , we show numerically that there exists such that for and for , hence the periodic waves are spectrally stable for and spectrally unstable for . These numerical results in the limit agree with the analytical results of [4] for the solitary waves.
2. Existence via a new variational problem
Here we obtain solutions to the boundary-value problem (1.8) for . These solutions have an even, single-lobe profile in the sense of Definition 1.1 for . Compared to the first assertion of Theorem 1.3, we use the general notation for the profile of the periodic wave satisfying the boundary-value problem (1.8) and for the (fixed) wave speed.
For every fixed , the existence of the periodic wave with profile is established in three steps. First, we prove the existence of a minimizer of the following minimization problem
[TABLE]
in the constrained set
[TABLE]
Second, we use Lagrange multipliers to show that the Euler–Lagrange equation for (2.1) and (2.2) is equivalent to the stationary equation (1.5). Third, we use bootstrapping arguments to show that the solution of the minimization problem (2.1) is actually smooth in so that it satisfies the boundary-value problem (1.8).
Theorem 2.1**.**
Fix . For every , there exists a ground state of the constrained minimization problem (2.1), that is, there exists satisfying
[TABLE]
If , the ground state has an even, single-lobe profile in the sense of Definition 1.1.
Proof.
It follows that is a smooth functional bounded on . Moreover, is proportional to the quadratic form of the operator with the spectrum in given by . Thanks to the zero-mass constraint in (2.2), for every , we have
[TABLE]
and by the standard Gårding’s inequality, for every there exists such that
[TABLE]
Hence is equivalent to the squared norm in for functions in , yielding in (2.1). Let be a minimizing sequence for the constrained minimization problem (2.1), that is, a sequence in satisfying
[TABLE]
Since is bounded in , there exists such that, up to a subsequence,
[TABLE]
For every , the energy space is compactly embedded in . Thus,
[TABLE]
Using the estimate
[TABLE]
it follows that . By a similar argument, since is also compactly embedded in , it follows that . Hence, . Thanks to the weak lower semi-continuity of , we have
[TABLE]
Therefore, .
If , the symmetric decreasing rearrangements of do not increase while leaving the constraints in invariant thanks to the fractional Polya–Szegö inequality, see Lemma A.1 in [14]. As a result, the minimizer of must decrease away symmetrically from the maximum point. By the translational invariance, the maximum point can be placed at , which yields an even, single-lobe profile for . ∎
Corollary 2.2**.**
For every , there exists a solution to the boundary-value problem (1.8) with an even, single-lobe profile .
Proof.
By Lagrange’s Multiplier Theorem, the constrained minimizer in Theorem 2.1 satisfies the stationary equation
[TABLE]
for some constants and . From the two constraints in , we have
[TABLE]
The scaling transformation maps the stationary equation (2.5) to the form (1.5) with computed from by (1.6). ∎
The following lemma states that the infimum in (2.1) is continuous in for and that as .
Lemma 2.3**.**
Let be the ground state of the constrained minimization problem (2.1) in Theorem 2.1 and . Then is continuous in for and as .
Proof.
For a fixed and for every , we have
[TABLE]
thanks to the bound (2.4). Let and . Then, we have
[TABLE]
and
[TABLE]
From here, it is clear that as , so that is continuous in for . It remains to show that as . Consider the following family of two-mode functions in :
[TABLE]
which satisfy the constraints in (2.2). Substituting into yields
[TABLE]
where the lower bound is found from the minimization of in . Therefore, we obtain
[TABLE]
which shows that as . ∎
The following proposition ensures that is smooth in and hence satisfies the boundary-value problem (1.8). Note that the result below is not original since similar results were reported in [15, 24, 28]. It is reproduced here for the sake of completeness.
Proposition 2.4**.**
Assume that is a solution of the stationary equation (1.5) with and in the sense of distributions. Then .
Proof.
In view of the embedding , , it suffices to assume . First, we will prove that . Indeed, applying the Fourier transform in (1.5) yields
[TABLE]
Since , it follows that and , for all . Hence, by Hausdorff-Young inequality, we have for all .
Since , we see that for all . Let be a small number such that . Thus
[TABLE]
where and . Next, we consider the smallest such that the first term on the right side is finite, that is, , hence . The second term on the right side is finite if which is true if . Note that for every , one can always find a suitable . Under these constraints, we get which implies that there exists such that (see [38, page 190]). Hence, using [38, Corollary 1.51] we obtain and so for . An iterating procedure gives us and thus .
Finally, one sees that
[TABLE]
which implies . Furthermore, from the fact that , we have
[TABLE]
where is an -dependent constant. After iterations, we conclude that . ∎
We show next that the periodic waves of the boundary-value problem (1.8) with an even, single-lobe profile in the sense of Definition 1.1 are given by the Stokes expansion for near . Because we reuse the method of Lyapunov–Schmidt reductions from [25], the results on the Stokes expansion of the periodic wave are restricted to the values of . Similar computations of the Stokes expansions are reported in Theorem 2.1 of [28].
The small-amplitude (Stokes) expansion for single-lobe periodic waves of the boundary-value problem (1.8) is constructed in three steps. First, we present Galilean transformation between solutions of the stationary equation (1.5). Second, we obtain Stokes expansion of the normalized stationary equation. Third, we transform the Stokes expansion of the normalized stationary equation back to the solutions of the boundary-value problem (1.8).
Proposition 2.5**.**
Let be a solution to the stationary equation (1.5) with some . Then,
[TABLE]
is a solution of the stationary equation
[TABLE]
with .
Proof.
The proof is given by direct substitution. ∎
Proposition 2.6**.**
For every , there exists such that for every there exists a locally unique, even, single-lobe solution of the stationary equation (2.8) in the sense of Definition 1.1. The pair is smooth in and is given by the following Stokes expansion:
[TABLE]
and
[TABLE]
*where the corrections terms *are defined in (2.12)–(2.14) below.
Proof.
We give algorithmic computations of the higher-order coefficients to the periodic wave by using the classical Stokes expansion:
[TABLE]
The correction terms satisfy recursively,
[TABLE]
Since the periodic wave has a single-lobe profile with the global maximum at , we select uniquely since in the space of even functions in . In order to select uniquely all other corrections to the Stokes expansion (2.9), we require the corrections terms to be orthogonal to in . Solving the inhomogeneous equation at yields the exact solution in :
[TABLE]
where is to be determined. The inhomogeneous equation at admits a solution if and only if the right-hand side is orthogonal to , which selects uniquely the correction by
[TABLE]
After the resonant term is removed, the inhomogeneous equation at yields the exact solution in :
[TABLE]
Justification of the existence, uniqueness, and analyticity of the Stokes expansions (2.9) and (2.10) is performed with the method of Lyapunov–Schmidt reductions for , see Lemma 2.1 and Theorem A.1 in [25]. ∎
Corollary 2.7**.**
For every , there exists such that the solution of the boundary-value problem (1.8) for every with an even, single-lobe profile in Theorem 2.1 and Corollary 2.2 is given by the following Stokes expansion:
[TABLE]
with parameters
[TABLE]
and
[TABLE]
Proof.
We apply the Galilean transformation (2.7) of Proposition 2.5 to the Stokes expansion (2.9) and (2.10) in Proposition 2.6. Therefore, we define
[TABLE]
and obtain the Stokes expansion (2.15), (2.16), and (2.17) for solutions of the boundary-value problem (1.8).
It follows from (2.15) and (2.16) that as . Since the Stokes expansion (2.9) for the even, single-lobe solution is locally unique by Proposition 2.6 and as by Lemma 2.3 implies that as , the small-amplitude periodic wave (2.15) with an even, single-lobe profile coincides as with the family of minimizers in Theorem 2.1 and Corollary 2.2 given by . ∎
Remark 2.8**.**
It follows from (2.13) that if and only if , where
[TABLE]
It follows from the expansions (2.15), (2.16), and (2.17) that the threshold does not show up in the Stokes expansion of the solution to the boundary-value problem (1.8).
Remark 2.9**.**
Employing Krasnoselskii’s Fixed Point Theorem, the existence and uniqueness of solutions to the stationary equation (2.8) with a positive, even, single-lobe profile was proven for every and in Theorem 2.2 of [28]. The proof of Theorem 2.2 in [28] relies on the assumption that the kernel of the Jacobian operator is one-dimensional. The latter assumption is proven in Proposition 3.1 in [24] if the minimizers of energy subject to fixed momentum and mass are smooth with respect to the Lagrange multipliers and . The latter condition is however false for (see Remark 3.4).
3. Smooth continuation of periodic waves in
Here we find a sharp condition for a smooth continuation of solutions to the boundary-value problem (1.8) with respect to the parameter in . Because we use the oscillation theory from [24], the results on the smooth continuation of periodic waves with respect to wave speed are limited to the interval and to the periodic waves with an even, single-lobe profile .
Let be a solution to the boundary-value problem (1.8) for some obtained with Theorem 2.1, Corollary 2.2, and Proposition 2.4. The solution has an even, single-lobe profile in the sense of Definition 1.1. The linearized operator at is given by (1.10), which we rewrite again as the following self-adjoint operator:
[TABLE]
For continuation of the solution to the boundary-value problem (1.8) in , we need to determine the multiplicity of the zero eigenvalue of denoted as . For spectral stability of the periodic wave , we also need to determine the number of negative eigenvalues of with the account of their multiplicities denoted as .
It follows by direct computations from the boundary-value problem (1.8) that
[TABLE]
and
[TABLE]
By the translational symmetry, we always have . However, the main question is whether , that is, if . This question was answered in [24] for , where the following result was obtained using Sturm’s oscillation theory for fractional derivative operators.
Proposition 3.1**.**
Let and be an even, single-lobe periodic wave. An eigenfunction of in (3.1) corresponding to the -th eigenvalue of for changes its sign at most times over .
Proof.
The result is formulated as Lemma 3.2 in [24] and is proved in Appendix A. ∎
Corollary 3.2**.**
Assume be an even, single-lobe periodic wave obtained with Theorem 2.1, Corollary 2.2, and Proposition 2.4 for and . Then, and .
Proof.
It follows by (3.2) that
[TABLE]
thanks to (2.2), (2.4), and (2.6). Therefore, . Thanks to the variational formulation (2.1)–(2.2) and Theorem 2.1, is a minimizer of in (1.9) for every subject to two constraints in (2.2). Since is the Hessian operator for in (1.10), we have
[TABLE]
By Courant’s Mini-Max Principle, , so that is proven.
Since is even, is decomposed into an orthogonal sum of an even and odd subspaces. By (L1) in Lemma 3.3 in [24], [math] is the lowest eigenvalue of in the subspace of odd functions in with the eigenfunction with a single node. Hence, . In the subspace of even functions in , the number of nodes is even. If , then [math] is the second eigenvalue of . By Proposition 3.1, the corresponding even function may have at most two nodes, hence there may be at most one such eigenfunction of for the zero eigenvalue in the subspace of even functions in . If , then the second (negative) eigenvalue has an even eigenfunction with exactly two nodes, whereas [math] is the third eigenvalue of . By Proposition 3.1, the corresponding even function for the zero eigenvalue may have at most four nodes, hence there may be at most one such eigenfunction of in the subspace of even functions in . In both cases, , so that is proven. ∎
Proposition 3.3**.**
Assume and be an even, single-lobe periodic wave. If , then .
Proof.
The result is formulated as Proposition 3.1 in [24] and is proven from the property claimed in (L3) of Lemma 3.3 in [24]. ∎
Remark 3.4**.**
The proof of (L3) in Lemma 3.3 in [24] relies on the smoothness of minimizers of energy subject to fixed momentum and mass with respect to Lagrange multipliers and . Unfortunately, this smoothness cannot be taken as granted and may be false. Indeed, for some periodic waves satisfying the stationary equation (1.5) for (see Corollary 3.11, Remark 3.13, and Remark 3.15).
The following lemma characterizes the kernel of , where is defined in (1.8) and is defined in (1.15). The standard inner product in is denoted by .
Lemma 3.5**.**
Assume and be an even, single-lobe periodic wave. If there exists such that and , then
[TABLE]
Proof.
Since , then and satisfies
[TABLE]
Either or .
Assume first that . It follows by (3.7) that and by equality (3.2), we have . By Corollary 3.2, the kernel of can be at most two-dimensional, hence and . By Fredholm theorem for self-adjoint operator (3.1), we have and by Proposition 3.3, in contradiction to the conclusion that . Therefore, assumption leads to contradiction.
Assume now that . It follows by (3.7) that . Then, by (3.2) and (3.3), we have and respectively. In other words, and by Proposition 3.3, . In addition, by (3.2), we have
[TABLE]
This yields (3.6). ∎
Corollary 3.6**.**
If exists in Lemma 3.5, then .
Proof.
Assume two orthogonal vectors such that and . Since , there exists a linear combination of and in in contradiction with in (3.6). ∎
Corollary 3.7**.**
.
Proof.
By using orthogonal projections, we write
[TABLE]
where for every non-constant (single-lobe) .
By Lemma 3.5, if , then . Since , it follows from (3.7) and (3.8) that .
In the opposite direction, assume that , , and . Since , we have by (3.2) that . Since , thanks to (2.2), (2.4), and (2.6), we obtain which implies that . ∎
The following lemma provides a sharp condition for a smooth continuation of the periodic wave with profile with respect to the wave speed .
Lemma 3.8**.**
Assume and be an even, single-lobe solution of the boundary-value problem (1.8) for a fixed obtained with Theorem 2.1, Corollary 2.2, and Proposition 2.4. Assume . Then, there exists a unique continuation of even solutions of the boundary-value problem (1.8) in an open interval containing such that the mapping
[TABLE]
is and .
Proof.
Let be an even, single-lobe solution of the boundary-value problem (1.8) for . Let be a solution of the boundary-value problem (1.8) for to be constructed from for near . Then, satisfies the following equation:
[TABLE]
where is obtained from in (3.1) at and , whereas acts on by the same expressions as in (3.7).
Assume and consider the subspace of even functions for which belongs. Then, is invertible on the subspace of even functions in so that we can rewrite (3.10) as the fixed-point equation:
[TABLE]
By the Implicit Function Theorem, there exist an open interval containing , an open ball of radius centered at [math], and a unique mapping such that is an even solution to the fixed-point equation (3.11) for every and . In particular, we find that
[TABLE]
Hence, is an even solution of the boundary-value problem (1.8) for every . ∎
Remark 3.9**.**
Although the solution is obtained from a global minimizer of the variational problem (2.1)–(2.2), the solution in Lemma 3.8 is continued from the Euler–Lagrange equation (1.8). Therefore, even if the solution is with respect to in as in Lemma 3.8, this solution may not coincide with the global minimizer of in for , the existence of which is guaranteed by Theorem 2.1 for every . For example, the solution may only be a local minimizer of in for in . Similarly, we cannot guarantee that the solution has a single-lobe profile for .
Remark 3.10**.**
In what follows, we again use the general notation for the solution to the boundary-value problem (1.8) and for the (fixed) wave speed.
Corollary 3.11**.**
For every for which , we have
[TABLE]
where . If , then , whereas if , then .
Proof.
By Lemma 3.8, equation (3.13) follows from (3.12) and the definition of in (3.7). The same equation can also be obtained by formal differentiation of the boundary-value problem (1.8) in since and are with respect to . It follows from (3.3) and (3.13) that
[TABLE]
If , then by Corollary 3.2. If , then by (3.2), (3.3), and (3.13), so that by Proposition 3.3. ∎
Remark 3.12**.**
It follows from (3.2) and (3.13) that
[TABLE]
so that , where .
Remark 3.13**.**
If for some , then and , which satisfy the stationary equation (2.8) after the Galilean transformation (2.7), are functions of in but not functions of at . Indeed, differentiating the relation in yields
[TABLE]
so that and the mapping is not invertible. Since the kernel of at is two-dimensional, the solution is at the fold point according to Definition 1.5. The fold point yields the fold bifurcation of the solution with respect to parameter at .
The following lemma provides the explicit count of the number of negative eigenvalues and the multiplicity of the zero eigenvalue for the linearized operator in (3.1).
Lemma 3.14**.**
Assume and be an even, single-lobe periodic wave for in Lemma 3.8 with . Then, we have
[TABLE]
and
[TABLE]
Proof.
Thanks to (3.5), we have n(\mathcal{L}\big{|}_{\{1,\psi^{2}\}^{\bot}})=0. By Corollary 3.7 and the assumption , we have z(\mathcal{L}\big{|}_{\{1,\psi^{2}\}^{\bot}})=1. By Theorem 5.3.2 in [27] or Theorem 4.1 in [36], we construct the following symmetric -by- matrix related to the two constraints in (3.5):
[TABLE]
By Corollary 3.11, we can use equation (3.13) in addition to equations (3.2) and (3.3). Assuming , we compute at :
[TABLE]
where holds by Remark 3.12. Therefore, the determinant of for is computed as follows:
[TABLE]
Denote the number of negative and zero eigenvalues of by and respectively. If , then is singular, in which case denote the number of diverging eigenvalues of as by . By Theorem 4.1 in [36], we have the following identities:
[TABLE]
Since , it follows that . Since n(\mathcal{L}\big{|}_{\{1,\psi^{2}\}^{\bot}})=0 we have by (3.18). It follows from the determinant (3.17) that if and if . This yields (3.16) for .
Since z(\mathcal{L}\big{|}_{\{1,\psi^{2}\}^{\bot}})=1, we have by (3.18). If , then so that . The determinant (3.17) implies that one eigenvalue of remains negative as , whereas the other eigenvalue of in the limit jumps from positive side for to the negative side for through infinity at . Therefore, if , then and so that and . This yields (3.15) and (3.16) for . ∎
Remark 3.15**.**
By Proposition 2.5, we have invariance of the linearized operator under the Galilean transformation (2.7):
[TABLE]
By using (2.16) and (2.17), we compute the small-amplitude expansion
[TABLE]
Hence, for and small , we have so that in agreement with Lemma 2.2 in [28], whereas for and small , we have so that . In the continuation of the solution in for by Corollary 2.7, there exists a fold point in the sense of Definition 1.5 for which , see Corollary 3.11 and Remark 3.13.
4. Spectral Stability
Here we consider the spectral stability problem (1.13). We assume that is an even, single-lobe solution to the boundary-value problem (1.8) for some obtained with Theorem 2.1, Corollary 2.2, and Proposition 2.4. Since is smooth, the domain of in is .
If , then and are functions in by Lemma 3.8. Therefore, we can use the three equations (3.2), (3.3), and (3.13) for the range of . We can also use the count of and in Lemma 3.14. The following lemma provides a sharp criterion on the spectral stability of the periodic wave with profile in the sense of Definition 1.2.
Lemma 4.1**.**
Assume and be an even, single-lobe periodic wave for in Lemma 3.8 with . The periodic wave is spectrally stable if and is spectrally unstable with exactly one unstable (real, positive) eigenvalue of in if .
Proof.
It is well-known [16, 22] that the periodic wave is spectrally stable if it is a constrained minimizer of energy (1.2) under fixed momentum (1.3) and mass (1.4). Since is the Hessian operator for in (1.10), the spectral stability holds if
[TABLE]
On the other hand, the periodic wave is spectrally unstable with exactly one unstable (real, positive) eigenvalue of in if n\left(\mathcal{L}\big{|}_{\{1,\psi\}^{\bot}}\right)=1.
By Theorem 5.3.2 in [27] or Theorem 4.1 in [36], we construct the following symmetric -by- matrix related to the two constraints in (4.1):
[TABLE]
Assuming , we compute at :
[TABLE]
Therefore, the determinant of for is computed as follows:
[TABLE]
Denote the number of negative and zero eigenvalues of by and respectively. If , then is singular, in which case denote the number of diverging eigenvalues of as by . By Theorem 4.1 in [36], we have the following identities:
[TABLE]
By Lemma 3.14, if and if , whereas if and if .
Assume first that so that . If , then whereas if and if . In both cases, it follows from (4.3) that n(\mathcal{L}\big{|}_{\{1,\psi\}^{\bot}})=0 and z(\mathcal{L}\big{|}_{\{1,\psi\}^{\bot}})=1 which implies spectral stability of .
If , then whereas if and if . In both cases, it follows from (4.3) that n(\mathcal{L}\big{|}_{\{1,\psi\}^{\bot}})=0 and z(\mathcal{L}\big{|}_{\{1,\psi\}^{\bot}})=2, which still implies spectral stability of .
If , then whereas if and if . In both cases, it follows from (4.3) that n(\mathcal{L}\big{|}_{\{1,\psi\}^{\bot}})=1 and z(\mathcal{L}\big{|}_{\{1,\psi\}^{\bot}})=1, which implies spectral instability of .
If , then and . Therefore, there is no change in the count compared to the previous cases. ∎
Corollary 4.2**.**
If , then {\rm Ker}(\mathcal{L}\big{|}_{\{1,\psi\}^{\bot}})={\rm span}(\partial_{x}\psi), whereas if , then there exists f\in{\rm Ker}(\mathcal{L}\big{|}_{\{1,\psi\}^{\bot}}) such that and . In the latter case, and .
Proof.
It follows from (3.2) and (3.3) that for every satisfying , we have
[TABLE]
If f\in{\rm Ker}(\mathcal{L}\big{|}_{\{1,\psi\}^{\bot}}) and , then either or .
If , then so that by Corollary 3.2. Then, and Proposition 3.3 yields a contradiction with . Hence, .
If , then we have so that by Proposition 3.3. In addition, it follows from (3.13) that
[TABLE]
hence . This corresponds to the result z(\mathcal{L}\big{|}_{\{1,\psi\}^{\bot}})=2 if in Lemma 4.1. On the other hand, z(\mathcal{L}\big{|}_{\{1,\psi\}^{\bot}})=1 if in Lemma 4.1 so that {\rm Ker}(\mathcal{L}\big{|}_{\{1,\psi\}^{\bot}})={\rm span}(\partial_{x}\psi) if . ∎
Remark 4.3**.**
By using (2.16) and (2.17), we compute
[TABLE]
which shows that the small-amplitude periodic waves are spectrally stable for small and thanks to Lemma 4.1. Since the fold point in the sense of Definition 1.5 exists for , see Remark 3.15, the result of Lemma 4.1 shows spectral stability of the periodic waves across the fold point as long as .
In the rest of this section, we address the possibility that the assumption in Lemma 3.8 is not satisfied at a particular point . The following lemma shows that this case corresponds to the linearized operator with two negative eigenvalues.
Lemma 4.4**.**
Assume that for some there exists such that and . Then, and .
Proof.
The assertion is proven in Lemma 3.5. It follows from (3.7) that with , , and . By normalizing
[TABLE]
so that , we use (3.2) and (3.3) to write
[TABLE]
Thanks to the facts , direct computations yield
[TABLE]
Since , we have and in the proof of Lemma 3.14, so that the identities (3.18) yield
[TABLE]
where we have used n(\mathcal{L}\big{|}_{\{1,\psi_{0}^{2}\}^{\bot}})=0 by Theorem 2.1 and z(\mathcal{L}\big{|}_{\{1,\psi_{0}^{2}\}^{\bot}})=2 by Corollary 3.7. ∎
By Lemma 4.4, we obtain immediately the following corollary.
Corollary 4.5**.**
If , then .
The following lemma shows that the exceptional case in Lemma 4.4 corresponds to the spectrally unstable periodic wave with the profile .
Lemma 4.6**.**
Under the same assumption as in Lemma 4.4, the periodic wave is spectrally unstable with exactly one unstable (real, positive) eigenvalue of in .
Proof.
Let be the same as in Lemma 4.4 and define
[TABLE]
Then, , and
[TABLE]
thanks to (3.4). Therefore, is not positive definite and the periodic wave is spectrally unstable. Alternatively, one can compute directly
[TABLE]
so that we have and in the proof of Lemma 4.1. and the identities (4.3) yield
[TABLE]
Hence, the periodic wave is spectrally unstable with exactly one unstable (real, positive) eigenvalue of in . ∎
Finally, we show that the condition for the continuation of the single-lobe periodic wave with profile in Lemma 3.8 is sharp in the sense that if , then the mapping (3.9) is not differentiable at , in particular, does not exist.
Lemma 4.7**.**
Assume . Then, and are not functions in at .
Proof.
Assume . Then, and by Lemma 3.5. Hence, equation (3.10) cannot be solved by inverting the operator .
By using the Galilean transformation (2.7) of Proposition 2.5, let be an even solution of the normalized equation (2.8) for parameter , where and . Let be a solution of the normalized equation (2.8) for near . Then, satisfies the following equation:
[TABLE]
where is given by (3.19) at and . (For simplicity of notations, we do not relabel this linearized operator as , compared to the proof of Lemma 3.8.)
Since , applying the same argument as in Lemma 3.8 yields the existence of the unique mapping such that is an open interval containing and is an even solution to equation (4.8) for every and . In particular, we have
[TABLE]
Hence, is an even solution of the boundary-value problem (2.8) for every .
It follows from the transformation formulas
[TABLE]
that , , and are functions of for every . It follows from (2.7), (3.3), and (4.9) that
[TABLE]
Let be normalized from (4.5) so that . Therefore, in the subspace of even functions, we have
[TABLE]
which implies because and are periodic functions with zero mean. Hence, the mapping is not invertible. Consequently, and are not functions of at . In particular, the relation for implies that does not exist. ∎
5. Numerical approximations of periodic waves
Here we compute the existence curve for the single-lobe periodic solutions of the boundary-value problem (1.8) on the parameter plane for .
For the integrable BO equation (), the single-lobe periodic solution to the boundary-value problem (2.8) is known in the exact form:
[TABLE]
where is a free parameter of the solution. Since , we compute explicitly and . Eliminating yields shown on Fig. 1.1 (left).
For the integrable KdV equation (), the single-lobe periodic solution to the boundary-value problem (2.8) is known in the exact form:
[TABLE]
and
[TABLE]
where the elliptic modulus is a free parameter of the solution. Since
[TABLE]
where and are complete elliptic integrals of the first and second kinds, respectively, we compute explicitly
[TABLE]
and
[TABLE]
Fig.5.1 (left) shows the existence curve (5.4) and (5.5) on the parameter plane . It follows that the function is monotonically increasing in . In the limit , for which and , we compute from (5.4) and (5.5) the asymptotic behavior
[TABLE]
which coincides with the behavior of KdV solitons.
The existence curve on the plane is also computed numerically by using the Petviashvili’s method from [28] for the stationary equation (2.8) with and applying the transformation formula (2.18). Fig.5.1 (left) also shows the numerically obtained existence curve (invisible from the theoretical curve). The right panel of Fig.5.1 shows the error between the numerical and exact curves for two computations different by the number of Fourier modes in the approximation of periodic solutions (for by red curve and by blue curve). The more Fourier modes are included, the smaller is the error.
For other values of in , we only compute the existence curve numerically. Fig.5.2 shows the existence curve (left) and two profiles of the numerically computed in the stationary equation (2.8) (right) in the case . The function is still monotonically increasing in and the values of are obtained monotonically from the values of in the stationary equation (2.8). We also note that the greater is the wave speed , the larger is the amplitude of the periodic wave and the smaller is its characteristic width.
Fig.5.3 (left) shows the existence curve in the case computed numerically (blue curve) and by using Stokes expansions (2.16) and (2.17) (red curve). The insert displays the mismatch between the red and blue curves with a small gap. The reason for mismatch is the lack of numerical data for due to the fold point discussed in Remarks 2.8, 3.13, and 3.15. The function is not monotonically increasing near the fold point and there exist two single-humped solutions for . Only the solution with can be approximated with the Petviashvili’s method as in [28], whereas the other solution with is unstable in the iterations of the Petviashvili’s method which then converge to a constant solution instead of the single-lobe solution. This is why we augmented the existence curve on Fig. 5.3 (left) with the Stokes expansion given by (2.16) and (2.17).
The right panel of Fig.5.3 shows the number of Fourier modes used in our numerical computations as the wave speed increases. We have to increase the number of Fourier modes in order to control the accuracy of the numerical approximations and to ensure that the strongly compressed solution with the wave profile is properly resolved. It follows from the Heisenberg’s uncertainty principle that the narrower is the characteristic width of the wave profile, the weaker is the decay of the Fourier transform at infinity. We compute the maximum of the Fourier transform at the last ten Fourier modes and increase the number of Fourier modes every time the maximum becomes bigger than a certain tolerance level of the size . The computational time slows down for larger values of the wave speed, nevertheless, it is clear that the function is still monotonically increasing in .
In order to overcome the computational problem seen on Fig.5.3 (left), we have developed the Newton’s method for the solutions to the stationary equation (2.8) near the fold point that exists for . With the initial guess from the Stokes expansion in (2.9) and (2.10), we were able to find the branch of solutions with and connect it with the branch of solutions with . As a result, the mismatch seen on the insert of Fig.5.3 for has been eliminated by using the Newton’s method (not shown).
Fig.5.4 shows the existence curve on the parameter plane in the cases (left) and (right) obtained with the Newton’s method. It is obvious that the function is monotonically increasing in for and approaches to the horizontal asymptote as , whereas the function is not monotone in for and is decreasing for large values of . This coincides with the conclusion of [4] on the solitary waves which correspond to the limit of .
By the stability result of Theorem 1.3, we conjecture based on our numerical results that the single-lobe periodic waves are spectrally stable for since for every . On the other hand, for , there exists such that for and for , hence the periodic waves are spectrally stable for and spectrally unstable for .
Finally, we reproduce the same results but on the parameter plane , where is the Lagrange multiplier in the boundary-value problem (2.8) and is the period-normalized momentum computed at the periodic wave . The parameter plane corresponds to the minimization of the energy subject to the fixed momentum with used in [21].
The boundary-value problem (2.8) always has the constant solution given by for which . As is shown in [28], the constant solution is a constrained minimizer of energy for and is a saddle point of energy for . It is shown by solid black curve for and by dashed black curve for .
For , the exact solution (5.1) for the single-lobe periodic wave can be used to compute explicitly for shown on Fig. 1.1 (right) by solid blue curve. The slope of along the branch for single-lobe periodic waves at can be found directly from the Stokes expansion (2.9) and (2.16) as
[TABLE]
The slope becomes horizontal at , negative for , vertical at , and positive for . Fig.5.5 shows the bifurcation diagram on the parameter plane for (left) and (right).
For , see Fig. 5.5 (left), two single-lobe periodic waves (blue curve) coexist for the same value of below . The right branch is a local minimizer of energy subject to fixed momentum , whereas the left branch is a saddle point of energy subject to fixed momentum and is a local minimizer of energy subject to two constraints of momentum and mass . This folded picture is unfolded on Fig. 5.2 (left), which contains all the single-lobe periodic waves and none of the constant solutions.
For , see Fig. 5.5 (right), the folded diagram on the plane becomes more complicated because two single-lobe periodic waves coexist for below (red and blue curves) and two periodic waves coexist for below . The red (blue) curve on Fig. 5.5 (right) corresponds to the part of the curve on Fig. 5.4 (left) below (above) the red point. Both branches are resolved well by using the Newton’s method. The branch shown by the red curve corresponds to , nevertheless, it is a local minimizer of energy subject to two constraints of momentum and mass . At the fold point , the linearized operator is degenerate with . The branch is continued below the fold point and then to the right with . The decreasing and increasing parts of the branch have the same variational characterization as those on Fig. 5.5 (left). The folded picture is again unfolded on Fig. 5.4 (left) on the parameter plane , where the scalar condition for spectral stability of the single-lobe periodic waves implies that every point on the folded bifurcation diagram on the parameter plane correspond to spectrally stable periodic waves. The fold point on Fig. 5.5 (right), where the linearized operator is degenerate and the momentum and mass are not smooth with respect to Lagrange multipliers, appears to be an internal point on the branch on Fig. 5.4 (left) which remains smooth with respect to the only parameter of the wave speed .
Thus, we conclude that the new variational characterization of the zero-mean single-lobe periodic waves in the fractional KdV equation (1.1) allows us to unfold all the solution branches on the parameter plane and to identify the stable periodic waves using the scalar criterion .
Acknowledgements: The authors thank A. Stefanov for sharing preprint [21] before publication and for useful comparison between the two different results. F. Natali is supported by Fundação Araucária and CAPES (visiting professor fellowship). He would like to express his gratitude to the McMaster University for its hospitality when this work was carried out. D.E. Pelinovsky acknowledges a financial support from the State task program in the sphere of scientific activity of Ministry of Education and Science of the Russian Federation (Task No. 5.5176.2017/8.9) and from the grant of President of Russian Federation for the leading scientific schools (NSH-2685.2018.5).
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] L. Abdelouhab, J. Bona, M. Felland and J.C Saut, Nonlocal models for nonlinear, dispersive wave , Phys. D 40 (1989), 360–392.
- 2[2] J.P. Albert, Concentration compactness and the stability of solitary-wave solutions to nonlocal equations , Contemporary Mathematics 221 (1999), 1–29.
- 3[3] G. Alves, F. Natali and A. Pastor, Sufficient conditions for orbital stability of periodic traveling waves , J. Diff. Eqs. 267 (2019), 879–901.
- 4[4] J. Angulo, Stability properties of solitary waves for fractional Kd V and BBM equations , Nonlinearity 31 (2018), 920–956.
- 5[5] J. Angulo, E. Cardoso Jr. and F. Natali, Stability properties of periodic traveling waves for the intermediate long wave equation , Rev. Mat. Iber. 33 (2017), 417–448.
- 6[6] J. Angulo and F. Natali, Instability of periodic traveling waves for dispersive models , Diff. Int. Equat. 29 (2016), 837–874.
- 7[7] J. Angulo and F. Natali, Positivity properties of the Fourier transform and the stability of periodic travelling-wave solutions , SIAM J. Math. Anal. 40 (2008), 1123–1151.
- 8[8] T.B. Benjamin, J.L. Bona and J.J. Mahony, Model equations for long waves in nonlinear dispersive systems , Phil. Trans. Royal Soc. London, Ser. A 272 (1972), 47–78.
