Orbital Stability of Domain Walls in Coupled Gross-Pitaevskii Systems
Andres Contreras, Dmitry E. Pelinovsky, and Michael Plum

TL;DR
This paper improves the understanding of the orbital stability of domain walls in coupled Gross-Pitaevskii systems by employing a weighted space approach, addressing degeneracy issues and enhancing stability results.
Contribution
It introduces a new weighted $H^1$ space framework to better control perturbations and establish improved orbital stability of domain walls in coupled Gross-Pitaevskii systems.
Findings
Established orbital stability in a weighted $H^1$ space.
Addressed degeneracy of linearized operators.
Enhanced stability results compared to previous work.
Abstract
Domain walls are minimizers of energy for coupled one-dimensional Gross--Pitaevskii systems with nontrivial boundary conditions at infinity. It has been shown that these solutions are orbitally stable in the space of complex functions with the same limits at infinity. In the present work we adopt a new weighted space to control perturbations of the domain walls and thus to obtain an improved orbital stability result. A major difficulty arises from the degeneracy of linearized operators at the domain walls and the lack of coercivity.
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Orbital Stability of Domain Walls
in Coupled Gross-Pitaevskii Systems
Andres Contreras1, Dmitry E. Pelinovsky2, and Michael Plum3
1 Department of Mathematical Sciences, New Mexico State University, Las Cruces, New Mexico, USA
2 Department of Mathematics and Statistics, McMaster University, Hamilton, Ontario, Canada, L8S 4K1
3 Institut für Analysis, Karlsruher Institut für Technologie, Karlsruhe, Germany, 76131
(March 8, 2024)
Abstract
Domain walls are minimizers of energy for coupled one-dimensional Gross–Pitaevskii systems with nontrivial boundary conditions at infinity. It has been shown in [2] that these solutions are orbitally stable in the space of complex functions with the same limits at infinity. In the present work we adopt a new weighted space to control perturbations of the domain walls and thus to obtain an improved orbital stability result. A major difficulty arises from the degeneracy of linearized operators at the domain walls and the lack of coercivity.
1 Introduction
Domain walls are heteroclinic connections for coupled two-component systems, for which the first component connects zero and nonzero equilibria in the spatial domains, where the second one connects the nonzero and zero equilibria respectively. Domain walls occur in many physical experiments, e.g. in the convection patterns [16, 20], nonlinear optics [14, 15], two mixed Bose–Einstein condensates [3, 7, 18], and recently in immiscible binary Bose gases [8, 9]. The existence and uniqueness of domain walls in the limits of strong and weak segregation was explored by means of rigorous asymptotic analysis in [1, 4, 12, 17]. The existence, spectral and nonlinear orbital stability of domain walls was obtained from a variational technique in [2] (see [19] for earlier results).
In this work we are interested in obtaining a strengthened stability property of domain wall solutions. To simplify our presentation, we consider the system of coupled cubic Gross-Pitaevskii (GP) equations written in the form
[TABLE]
where is the coupling parameter. The system (1.1) is a particular case (but the most important one) of the coupled GP systems, for which the results of [2] apply. Domain walls are special solutions to the system (1.1) given by , where the stationary profiles solve the following system of differential equations
[TABLE]
subject to the following boundary conditions at infinity
[TABLE]
Existence of domain walls for has been shown in [2] by minimizing the energy functional
[TABLE]
in the class of functions in the energy space
[TABLE]
where and . The energy space is equipped with the family of distances parameterized by :
[TABLE]
By Theorems 2.1, 2.4, and 3.1 in [2], the minimizers of energy (1.6) are given by real solutions to the system (1.2) up to the gauge translation. The profiles of the domain walls satisfy the following properties:
- (a)
for all
- (b)
for all
- (c)
and for all
- (d)
There are positive constants and such that
[TABLE]
By Theorem 1.3 in [1], the real minimizers of satisfying properties (a)–(c) were shown to be the unique real solutions to the system (1.2).
By the global well-posedness results in the energy space in [21], for any , there exists a unique global in time solution to the coupled GP system (1.1) with initial data . Moreover, the map is continuous with respect to and the energy of the coupled GP system (1.1) is preserved along the flow, that is
[TABLE]
Finally, by Theorems 1.4 and 1.5 in [2], the following nonlinear orbital stability theorem was established for the domain walls of the coupled GP system (1.1).
Theorem 1** ([2]).**
Let . There exists such that for any and for every , there exist a positive number and real functions such that if
[TABLE]
then
[TABLE]
where is an orbit of domain walls. Moreover, there exists a positive constant such that for all :
[TABLE]
provided is sufficiently small.
Remark 1.1**.**
In Theorem 1, modulation parameters , for complex phases of , are not determined and are not controlled in the time evolution.
The choice of the metric in (1.8) and the proof of Theorem 1 were inspired by the similar results obtained for the nonlinear orbital stability of black solitons in the cubic defocusing nonlinear Schrödinger (NLS) equation in [5]. On one hand, the domain walls are more complicated than black solitons because the gauge parameters and have to be controlled separately from each other. On the other hand, the domain walls are simpler than black solitons because the domain walls are energy minimizers for the coupled GP system whereas the black solitons are constrained energy minimizers for the NLS equation under the constraint on the conserved renormalized momentum [5]. Nevertheless, in both models, the principal difficulty in obtaining the nonlinear orbital stability of black solitons or domain walls is the lack of coercivity of the energy functional with respect to the imaginary parts of the perturbations.
Since the time of [5] and [2], several important results have appeared in the context of stability of the black solitons in the NLS equation. A new metric has been introduced in [13] to obtain coercivity of the energy functional in the weighted space. The new metric was introduced uniformly on the real line, so that the compact support controlled by the parameter in the family of distances in (1.8) becomes abundant. Once the coercivity of the energy is obtained in the weighted space, nonlinear orbital stability and the asymptotic stability of black solitons can be established by available analytical techniques in [13].
The new variables introduced in [13] were further used in analysis of nonlinear orbital stability of black solitons in the space by using a higher-order energy of the cubic NLS equation [10]. To tackle with the lack of coercivity, the family of distances given by (1.8) was still used and analysis was developed separately inside and outside the compact support. However, in the space, the black solitons become minimizers of the higher-order energy and therefore, the constrained renormalized momentum is no longer needed to be used.
For completeness, we also mention other works on orbital and asymptotic stability of black solitons in the cubic NLS equation, where more special studies are developed based on the inverse scattering transform method [6, 11]. However, this method is not applicable for the coupled GP system (1.1) unless , in which case no domain wall solutions exist.
The purpose of this work is to obtain improved nonlinear orbital stability results for the domain walls of the coupled GP system compared to Theorem 1. In this study, we incorporate the new weighted space to control imaginary parts of the perturbations to the domain walls and to obtain the coercivity of the energy functional uniformly on the real line. Due to nonlinear terms of the energy functional, we are unable to control evolution of the real parts of the perturbations neither in the weighted space nor in the standard space, in spite of the fact that the quadratic part of the energy functional is coercive for the real parts in . As a result, we have to introduce again the compact support given by a parameter and to control the real parts of the perturbations separately inside and outside the compact support.
Following the approach of [13], we introduce the new weighted space denoted by , according to the following inner product for and :
[TABLE]
is a Hilbert space and its squared induced norm is given by
[TABLE]
By property (b), the weight functions are positive everywhere on the real line. Also recall that so that the inner product does indeed yield a positive bilinear form. Note that the Sobolev space is continuously embedded into the weighted space because there is a positive constant such that
[TABLE]
Let us equip the space with the family of distances parameterized by :
[TABLE]
The energy of perturbations to the domain walls turns out to be coercive in the metric for every and sufficiently large . The following theorem takes advantage of this coercivity and gives an improved orbital stability result for the domain walls.
Theorem 2**.**
Let . There exists such that for any and for every , there exist a positive number and real functions such that if
[TABLE]
then
[TABLE]
where is an orbit of domain walls. Moreover, there exists a positive constant such that for all :
[TABLE]
provided is sufficiently small.
Remark 1.2**.**
In Theorem 2, modulation parameters , , and are uniquely determined by the projections in space and are controlled in the time evolution of the modulation equations.
Remark 1.3**.**
The proof of Theorem 2 is self-contained and it follows the ideas of the proof of orbital stability of black solitons in [10], which are minimizers of the higher-order energy of the nonlinear Schrödinger equation in the space.
Remark 1.4**.**
As far as we can see, the distances and are not comparable: one can find examples of functions for which is finite while diverges and vice versa.
The rest of this article is organized as follows. In Section 2, we rewrite the energy functional given by (1.6) in terms of perturbations to the domain walls. In Section 3, we prove coercivity of the energy functional in the weighted space , provided is sufficiently large. Energy estimates are developed in Section 4. Modulation equations are analyzed in Section 5. The proof of Theorem 2 is concluded in Section 6. Appendix A describes an important technical result on continuation of eigenvalues of the linearized operator with respect to the parameter in the limit .
Acknowledgements: The work of A.C. was partially supported by a grant from the Simons Foundation # 426318.
2 Decomposition of the energy
Let be the domain wall solutions to the ODE system (1.2) subject to the boundary conditions (1.5). By adding a perturbation to and separating the real and imaginary parts as , we verify that the quadratic part of the energy functional given by (1.6) can be block-diagonalized as follows:
[TABLE]
where are the linear self-adjoint operators given by
[TABLE]
and
[TABLE]
By Theorem 3.1 in [2], the linear operators satisfy the following properties:
- (i)
Each operator and is positive semi-definite on . 2. (ii)
Zero is a simple eigenvalue of , with associated eigenfunction and there exists with . 3. (iii)
, and with and .
By property (ii), the quadratic form for the operator is coercive in under a single constraint which fixes the spatial translation of the domain wall solutions. In other words, there exists a positive constant such that
[TABLE]
On the other hand, since the essential spectrum of touches zero with two bounded wave functions and , which are not in , the quadratic form for the operator is not coercive in . The same problem arises for black solitons of the cubic NLS equation and it is dealt with the choice of quadratic variables which are not only bounded but also in [13]. Following this approach, we introduce the quadratic variables:
[TABLE]
By the explicit computations, we show that the energy functional given by (1.6) can be represented in variables , , and as a sum of three quadratic forms.
Lemma 2.1**.**
Assume . Then,
[TABLE]
where is given by (2.3) and
[TABLE]
Proof.
By substituting the perturbation to the domain wall solution in the component form, we obtain
[TABLE]
Since the domain wall is a critical point of , the linear terms in and are canceled after integration by parts. By subtracting from , we rewrite the result in the explicit form:
[TABLE]
Rewriting this expression in the matrix-vector form and canceling similar terms yield (2.6). ∎
Remark 2.1**.**
Note that
[TABLE]
where is understood in the component form. The quadratic part of (2.6) with the substitution (2.5) coincides with the quadratic part of (2.1).
Remark 2.2**.**
By property (i) and (iii), the first two terms in (2.6) are positive semi-definite in . However, the third term is sign-indefinite, since . If the equivalence (2.7) is used, the quadratic forms involving and are again positive semi-definite in by property (i) but the energy decomposition (2.6) includes also cubic and quartic terms in and . Due to the lack of coercivity for the operator in , the cubic and quartic terms in cannot be controlled in .
3 Coercivity in a weighted space
In order to deal with the poor coercivity of mentioned in Remark 2.2, we introduce the weighted space given by the inner product (1.10) and the squared norm (1.11).
By explicit computation, we have
[TABLE]
where is the operator defined by the bilinear form
[TABLE]
By properties (b) and (d), the weight function is positive and decays to zero at infinity exponentially fast. By using the representation (3.1) and (3.2), we prove the following result on coercivity of in metric space subject to the appropriate orthogonality conditions.
Lemma 3.1**.**
There exists such that
[TABLE]
where and .
Proof.
Thanks to the fast (exponential) decay of to zero at infinity, the same arguments as in [13] imply that the operator is compact in , so that its spectrum in is purely discrete. Therefore, the spectrum of the operator in consists of isolated eigenvalues accumulating to the point . Moreover, thanks to the positivity of , the eigenvalues accumulate to the point from below.
By property (iii), the zero eigenvalue of is at least double with eigenvectors . To show that belong to , we note that decays exponentially at both infinities, whereas decays exponentially to zero at the same infinity where is nonzero and vice versa. Therefore, .
Eigenvalues of in are determined by the spectral problem
[TABLE]
where is given by (2.3) and is given by
[TABLE]
Note that .
We note that and are diagonal operators consisting of two Schrödinger operators. As a result, the spectral problem (3.4) can be written separately for each Schrödinger operator as follows:
[TABLE]
and
[TABLE]
Each Schrödinger equation (3.6) and (3.7) with has one bounded and one unbounded linearly independent solutions. The unbounded solution grows exponentially at the same infinity where the bounded solution decays exponentially because the Wronskian of the two linearly independent solutions is constant and nonzero. Since the unbounded solution does not belong to the space , the kernel of in is two-dimensional, spanned by and .
Next, we show that the spectral problem (3.4) has no negative eigenvalues . Indeed, the Schrödinger equation (3.6) for can be rewritten in the form
[TABLE]
where satisfies
[TABLE]
where the last inequality follows by property (b). By Sturm’s Comparison Theorem, the Schrödinger operator may have zero resonance (a bounded solution in for zero eigenvalue) only if the Schrödinger operator with has a negative eigenvalue (a localized solution in for a negative eigenvalue). Since the Schrödinger operator . has no negative eigenvalues, the Schrödinger equation (3.8), or equivalently, the Schrödinger equation (3.6), admits no bounded solutions in for . A similar argument applies to the Schrödinger equation (3.7) for .
Thus, the spectral problem (3.4) has no negative eigenvalues , whereas the zero eigenvalue is double and isolated from the rest of the spectrum of in . The next (nonzero) eigenvalue of in is positive. Let us denote the positive eigenvalue by . Since the zero eigenvalue is exactly double, the orthogonality conditions
[TABLE]
remove projections to the eigenvectors and . The coercivity bound (3.3) holds by the standard spectral theorem in . ∎
Remark 3.1**.**
By Lemma 3.1, the imaginary part of perturbations to the domain walls is well controlled in the metric space subject to the two orthogonality conditions (3.3) that specify complex phases of the two components of due to gauge rotations. Compared to [13], no additional orthogonality conditions are needed because the domain wall solutions are true minima of the energy functional .
Remark 3.2**.**
For the real part of perturbations to the domain walls , we can only add one orthogonality condition that specifies a spatial translation of the solution . If we add the condition , the coercivity bound (2.4) in is not useful because if , but , then there is no way that . On the other hand, even though , the last term in the decomposition (2.6) is sign-indefinite if and hence the coercivity to control the real part of perturbations is lost.
To handle the problem described in Remark 3.2, we divide the real line into three regions , , and for a fixed . We further introduce a family of linear operators that interpolate between as and as . The family is given explicitly by
[TABLE]
where is the characteristic function. Using the same metric space as is given by the inner product (1.10) and the squared norm (1.11), we obtain
[TABLE]
where is the operator defined by the bilinear form
[TABLE]
In Appendix A, we prove Theorem A which states continuity with respect to of eigenvalues of the operator in below the level . As , eigenvalues of converge to the eigenvalues of the operator in below the level . By using this continuation, we prove the following result on coercivity of the operator in metric space subject to a single orthogonality condition.
Lemma 3.2**.**
There exists and such that for any ,
[TABLE]
Proof.
Thanks to the fast (exponential) decay of to zero at infinity and the compact support of the second integral in (3.11), the operator for any fixed is compact in . Therefore, the spectrum of the operator in consists of isolated eigenvalues accumulating to the point . Eigenvalues of in are given by the spectral problem
[TABLE]
where is given by (3.9) and is given by (3.5).
In comparison, the operator for is not compact in , so that the spectrum of is only defined in and includes also the essential spectrum bounded from below by . The spectrum of is defined by the spectral problem
[TABLE]
where is given by (2.2) and is given by (3.5). From the asymptotic values of the potentials of and at infinity, we can see that the essential spectrum of the spectral problem (3.14) is located for . By property (i), isolated eigenvalues of the spectral problem (3.14) are located for .
The first (zero) eigenvalue of is simple and corresponds to the eigenvector by property (ii). The second (nonzero) eigenvalue of the spectral problem (3.14) is strictly positive. The coercivity bound (3.12) for a fixed sufficiently large is obtained by continuity of isolated eigenvalues of the operator in below the point with respect to the parameter . The continuity of eigenvalues below as is proved in Theorem A of Appendix A. ∎
Remark 3.3**.**
As , converges to in the norm of , hence has two small eigenvalues for small . The coercivity bound (3.12) with a single orthogonality condition only holds for large and clearly fails as .
4 Energy estimates
As we described in Remark 3.2, the decomposition (2.6) in Lemma 2.1 for the difference between energy levels is not really useful. On the other hand, the equivalent representation (2.7) in Remark 2.1 can not be used uniformly on the real line. Due to these reasons, we write
[TABLE]
where can be represented as follows:
[TABLE]
Here and are densities for the quadratic forms and , whereas and are cubic and quartic terms given by
[TABLE]
and
[TABLE]
The quadratic part given by and is represented by the quadratic form associated with the operator defined by (3.9). Thus, the representation for is different on the intervals , , and .
Let us consider estimates on the semi-infinite interval . Since is exponentially small as , according to the sharp decay estimates (1.9), it follows from the definitions (1.10) and (1.11) that
[TABLE]
for some positive constant that depends on . By Sobolev’s embedding, we have as and
[TABLE]
where is the Sobolev embedding constant. In what follows, we will omit writing the dependence of the positive constants from the fixed parameter .
The estimate (4.3) allows us to control the last term in . Since is exponentially small as in accordance with (1.9), there are positive constants and such that
[TABLE]
Similar estimates are available for the term
[TABLE]
since is exponentially small as .
It remains to control the nonlinear terms
[TABLE]
The quartic term is positive, therefore, it is controlled from below by zero. The cubic term is bounded by
[TABLE]
for some positive constant . However, since is exponentially small as and is exponentially small as in accordance with (1.9), it follows from the definitions (1.10) and (1.11) that
[TABLE]
for some positive constants and .
By combining (3.3), (3.12), (4.1), (4.4), (4.5), (4.6), and (4.7), we obtain the estimate
[TABLE]
provided satisfies the two orthogonality conditions in (3.3) and satisfies the only orthogonality condition in (3.12). The latter constraints are satisfied by adding modulation parameters to the solution , see Section 5.
Let be a small number that defines radius of a ball in for the perturbation terms such that
[TABLE]
Note that the ball is exponentially small in terms of large parameter . Also note that the definition (4.9) agrees with the distance defined by (1.13).
For sufficiently small and sufficiently large, the estimate (4.8) allows us to control the perturbation term in terms of the conserved energy by
[TABLE]
The right-hand side of (4.10) is conserved in time, so its value is defined by the initial data for the perturbation terms . The estimates (4.9) and (4.10) are compatible if
[TABLE]
The bound (4.11) can be satisfied by the choice of in the bound (1.14) for the initial data. Then, the bounds (4.10) and (4.11) are used to control the solution over all times and to define in the bound (1.15).
5 Modulation equations
It remains to define a suitable solution to the coupled GP system (1.1), which can be decomposed as , where satisfies the two orthogonality conditions in (3.3) and satisfies the only orthogonality condition in (3.12). This is done by introducing the modulation parameters , , and , using the translation and gauge invariance in the coupled GP system (1.1), and setting the modulation equations. The algorithm is fairly standard, see, e.g. the recent work in [10], hence we overview only basic details of the algorithm. We note however that the orthogonality conditions are formulated in the weighted space , which is adjusted to the definition of the domain walls . Therefore, one needs to be careful with the definition of the modulation parameter .
We start by writing the solution to the coupled GP system (1.1) in the form
[TABLE]
where the perturbations and are real-valued and satisfy the orthogonality conditions
[TABLE]
The constraints (5.2) allow us to determine uniquely the modulation parameters, namely the translation and the complex phases and , at least for solutions in a small neighborhood of the domain walls . This is done according to the following lemma.
Lemma 5.1**.**
There exists such that, for any satisfying
[TABLE]
there exist , , and such that
[TABLE]
where the real-valued functions and satisfy the orthogonality conditions
[TABLE]
Moreover, the modulation parameters , , and depend continuously on in .
Proof.
It is sufficient to prove (5.4) for all such that is sufficiently small. Given such a , we consider the smooth vector field defined by
[TABLE]
We check that by direct substitution in (1.10) and integration. Therefore, by construction, we have if and only if can be represented as in (5.4) for some real-valued functions and satisfying the orthogonality conditions (5.5).
By Cauchy–Schwarz inequality, since , we have for some positive -independent constant . Furthermore, the Jacobian matrix of the function at the origin is given by
[TABLE]
where the subscript denotes the projection to the first or second component of the vectors, respectively. The first term in is a fixed invertible matrix. The second term in is bounded in the matrix norm by for another positive -independent constant . Indeed, for the second and third columns, these bounds follow by the Cauchy–Schwarz inequality. For the first column, before applying the Cauchy–Schwarz inequality, the derivative can be moved from to , , and by integration by parts, with the use of smoothness and decay of , , and . Hence is invertible if is small enough and the norm of the inverse of is bounded by a constant independent of .
Finally, it is straightforward to verify that the second-order derivatives of are uniformly bounded near if is small. These observations together imply that there exists a unique triple , in a neighborhood of size of , such that . Thus the decomposition (5.4) and (5.5) holds for these values of . In addition, the above argument shows that the modulation parameters depend continuously on . ∎
The Cauchy problem for the coupled GP system (1.1) is globally well-posed for any [21]. If is a solution of (1.1) in which stays in a neighborhood of the orbit of the domain walls for all , the modulation parameters , , and given by the decomposition (5.1) subject to the orthogonality conditions (5.2) are continuous functions of time. The following lemma controls evolution of the modulation parameters according to the modulation equations.
Lemma 5.2**.**
If is sufficiently small and if is a global solution to the coupled GP equations (1.1) in satisfying, for all ,
[TABLE]
then the modulation parameters , , and in the decomposition (5.1) and (5.2) are continuously differentiable functions of satisfying (1.16).
Proof.
If is a global solution to the coupled GP equations (1.1) in , it is easy to verify that the map is continuously differentiable in the topology of . Thanks to the smoothness and decay of , , and , for all , the scalar products
[TABLE]
are continuously differentiable functions of time. Thus, if assumption (5.6) holds for all times, the proof of Lemma 5.1 shows that the modulations parameters , , and in the decomposition (5.1) and (5.2) are functions of time.
Differentiating both sides of (5.1) and using (1.1), we obtain the evolution system
[TABLE]
where the operators are defined in (2.2) and (2.3) and contain quadratic and cubic terms in , which are not important for further estimates. Using the orthogonality conditions (5.2), we eliminate the time derivatives and by taking the corresponding projections in . This gives the following linear system for the derivatives , and :
[TABLE]
where
[TABLE]
As in the proof of Lemma 5.1, it is easy to verify by using (5.6) and the Cauchy–Schwarz inequality that the second term in is bounded in the matrix norm by for some positive -independent constant . Since the first term in is a diagonal matrix with nonzero entries independently of , the matrix is invertible with an uniformly bounded inverse if is small enough.
Let us show that the second term in the right-hand side of (5.7) is of size . It is sufficient to consider few particular quadratic and cubic terms in such as and . For the quadratic term, we obtain by integration by parts
[TABLE]
where we have used the bound for every and some , that follows from properties (b) and (d). Similarly, we have
[TABLE]
For the cubic term, we obtain by using the same bound for and the Cauchy–Schwarz inequality
[TABLE]
where we have used the Sobolev embedding and the elementary inequality
[TABLE]
due to the same bound for . Similarly, we obtain
[TABLE]
where we have used for every and every that
[TABLE]
and
[TABLE]
where the latter bound is due to the exponential decay of to zero as and the slow growth of as follows
[TABLE]
By using similar estimates for other quadratic and cubic terms, we verify that the second term in the right-hand side of (5.7) is of size . On the other hand, the first term in the right-hand side of (5.7) is of size by the Cauchy–Schwarz inequality.
It follows from (5.7) and (5.8) by inverting and estimating the right-hand-side as above that for all , where the positive -independent constant is also independent of . This concludes the proof of the bound (1.16). ∎
6 Proof of Theorem 2
The energy estimates of Section 4 and the modulation equations of Section 5 are sufficient for the proof of Theorem 2. If is a solution of (1.1) in starting with the initial data , which is close to the domain walls in the sense of the bound (1.14), then we introduce the modulation parameters according to the decomposition (5.1) and (5.2) which are defined by Lemma 5.1 at least for small values of time . Then, thanks to the translation and gauge invariance, we define the conserved energy function
[TABLE]
and use the energy estimates (4.10) to control the proximity of the solution from the domain wall in the sense of the distance (1.13). By the estimate (4.11), we can choose in the initial bound (1.14), where is defined in (4.9). Then, by (4.10), we can choose in the bound (1.15) for all times. This construction extends the definition of modulation parameters , , and in the decomposition (5.1) and (5.2) to all times. Then, Lemma 5.2 yields the control of the evolution of the modulation parameters with at most linear growth in time , according to (1.16). Theorem 2 is proved.
Appendix A Continuation of eigenvalues in the spectral problem (3.13)
In this appendix, we prove the continuity of eigenvalues of the spectral problem (3.13) as . This result is needed for the proof of coercivity of the operator in subject to a single orthogonality condition, see bound (3.12) in Lemma 3.2. For reader’s convenience, we write the spectral problem (3.13) again:
[TABLE]
The formal limit as is given by the spectral problem (3.14), which is written as
[TABLE]
The following theorem ensures that the isolated eigenvalues of the spectral problem (A.2) below the point are continued as the eigenvalues of the spectral problem (A.1) for sufficiently large .
Theorem A**.**
For some , suppose that the spectral problem (A.2) has the first smallest eigenvalues below , which are ranked in the ascending order as follows:
[TABLE]
counting by multiplicity. Then, for sufficiently large, the spectral problem (A.1) has the first smallest eigenvalues below , which are also ranked in the ascending order as follows:
[TABLE]
with the following convergence property
[TABLE]
Moreover, if denotes eigenfunctions associated with , normalized by
[TABLE]
then there exist linearly independent eigenfunctions associated with such that
[TABLE]
for some sequence .
The proof of the theorem is subdivided into several Lemmas. We denote by and the bilinear forms (on and , resp.) defined by the left-hand sides of problem (A.1) and (A.2), respectively. We also introduce the following matrix potentials:
[TABLE]
and
[TABLE]
Lemma A.1**.**
For sufficiently large, problem (A.1) has at least eigenvalues below , ordered as in (A.4), and we have
[TABLE]
Proof.
For , define
[TABLE]
and let be fixed. For sufficiently large and any , we have on :
[TABLE]
and an analogous inequality on . Hence, for all and sufficiently large,
[TABLE]
So the min-max-principle gives
[TABLE]
for and sufficiently large. Since , then (A.9) and (A.10) imply that
[TABLE]
for sufficiently large. When is small enough (such that the right-hand side of (A.11) is less than for ), the min-max-principle shows that are indeed the smallest eigenvalues of problem (A.1), since the spectrum of (A.1) is discrete for any . Finally, (A.11) gives
[TABLE]
and hence the claim (A.8) since is arbitrary. ∎
Lemma A.2**.**
Suppose that for some sequence , the limits
[TABLE]
exist. Then, are eigenvalues of problem (A.2), and
[TABLE]
Moreover, with denoting eigenfunctions associated with , normalized by (A.6), there exist linearly independent eigenfunctions associated with such that, for some subsequence ,
[TABLE]
Proof.
By (A.6), the sequence is bounded in the Hilbert space for each , whence exist such that (A.14) holds. We will show that
[TABLE]
and that
[TABLE]
in the subsequent Lemmas A.3, A.4, and A.5.
Fix and , and such that . Since (A.14) implies that
[TABLE]
we obtain, for such that ,
[TABLE]
and
[TABLE]
Since is an eigenpair of problem (A.1), and moreover , (A.17) and (A.18) imply
[TABLE]
This holds for every , and hence by (A.15) for every . Thus, (A.16) (implying ) and (A.19) show that is indeed an eigenpair of problem (A.2).
Finally, (A.4) and (A.12) show that , which by (A.16) implies the claim (A.13) since are the smallest eigenvalues of problem (A.2). ∎
Proof of Theorem A: Fix , and choose some sequence such that
[TABLE]
It is easy to check that is positive semi-definite on for every , whence
[TABLE]
So is bounded for all , whence along a subsequence, denoted by again, converges to some , for each . Using Lemma A.2, property (A.13) together with (A.20) shows that
[TABLE]
This holds for every , which together with Lemma A.1 proves the claim (A.5).
By (A.5), the assumption (A.12) of Lemma A.2 holds for , and hence (A.14) implies (A.7) with . ∎
The next three Lemmas provide the proof of properties (A.15) and (A.16).
Lemma A.3**.**
Property (A.15) holds.
Proof.
Fix and let . Since , we are left to show that
[TABLE]
The orthonormal property (A.6) and Lemma A.1 show that for sufficiently large , we have
[TABLE]
On the other hand, denoting , we obtain
[TABLE]
The right hand side is now estimated from below by
[TABLE]
Since here the two minima are positive and the two maxima are finite, and since
[TABLE]
we obtain together with (A.22) that there exists an -independent positive constant such that
[TABLE]
for all sufficiently large .
Now fix some . Since weak convergence in implies strong convergence in , we obtain from (A.14) that
[TABLE]
and thus for such that , using (A.23),
[TABLE]
and analogously . Since this holds for every , the claim (A.21) follows. ∎
Lemma A.4**.**
(auxiliary for Lemma A.5): Let . Then some exists such that, for all satisfying , and all ,
[TABLE]
Proof.
The asserted inequality is equivalent to
[TABLE]
Since the three integrands on the right-hand side of (A.25) are bounded from above by
[TABLE]
respectively, and since and , the following inequality is sufficient for (A.25):
[TABLE]
We know from properties (a) and (d) of the domain wall solutions that there exist some positive constants and such that
[TABLE]
Finally, for satisfying , and all ,
[TABLE]
and hence, if ,
[TABLE]
Thus, the integral on the left converges as .
An analogous inequality holds with instead of . Together with (A.27) we find that (A.26), and hence (A.25) holds if is large enough to satisfy
[TABLE]
Thus, the claim (A.4) follows. ∎
Lemma A.5**.**
Property (A.16) holds.
Proof.
Suppose for contradiction that some non-trivial exists such that
[TABLE]
W.l.o.g. let . Using the subsequence satisfying (A.14), we define
[TABLE]
whence (A.14) and (A.28) imply
[TABLE]
Furthermore, using (A.29) and (A.6),
[TABLE]
Choose
[TABLE]
which by (A.12), (A.8), and (A.3) is positive. Now choose according to Lemma A.4. Besides (A.4), an analogous inequality also holds with integration over instead of , possibly after further enlargening .
We define
[TABLE]
Since vanishes on , (A.4) (and the analogous inequality over ) implies, for all and ,
[TABLE]
Furthermore, denoting ,
[TABLE]
and therefore, for all and ,
[TABLE]
and
[TABLE]
using (A.31) in the last step.
By compact embedding, (A.30) implies stongly in , and hence
[TABLE]
Case I: along some subsequence.
Then, together with (A.38), we obtain
[TABLE]
and therefore, for sufficiently large,
[TABLE]
for all . Together with (A.35), (A.36), (A.37) this implies
[TABLE]
and thus, using again that in ,
[TABLE]
for sufficiently large, uniformly in . On the other hand, by (A.29) and (A.6),
[TABLE]
which contradicts (A.39) due to (A.12) and (A.32).
Case II: in .
Then, using also (A.38), we obtain
[TABLE]
as , uniformly in . Therefore, using (A.36), (A.37), and the convergence in ,
[TABLE]
and
[TABLE]
for sufficiently large, uniformly in . Together with (A.35), this gives
[TABLE]
for sufficiently large, uniformly in . On the other hand, as in the calculation (A.40), we obtain
[TABLE]
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- 6[6] S. Cuccagna and R. Jenkins, “On the asymptotic stability of N 𝑁 N -soliton solutions of the defocusing nonlinear Schrödinger equation”, Comm. Math. Phys. 343 (2016), 921–969.
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