On the radially symmetric traveling waves for the Schr{\"o}dinger equation on the Heisenberg group
Louise Gassot (LMO)

TL;DR
This paper studies radial solutions to a cubic Schr{"o}dinger equation on the Heisenberg group, demonstrating the existence, uniqueness, and stability of traveling wave solutions with speeds close to the maximum value.
Contribution
It establishes the existence, uniqueness, and smoothness of ground state traveling waves for the Schr{"o}dinger equation on the Heisenberg group, including their stability analysis as speed approaches a critical limit.
Findings
Existence of ground state traveling waves for speeds in (-1,1)
Uniqueness of these waves near speed 1 up to symmetries
Linear stability of the limiting wave as speed approaches 1
Abstract
We consider radial solutions to the cubic Schr{\"o}dinger equation on the Heisenberg groupThis equation is a model for totally non-dispersive evolution equations. We show existence of ground state traveling waves with speed . When the speed is sufficiently close to , we prove their uniqueness up to symmetries and their smoothness along the parameter . The main ingredient is the emergence of a limiting system as tends to the limit , for which we establish linear stability of the ground state traveling wave.
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.
On the radially symmetric traveling waves for the Schrödinger equation on the Heisenberg group.
Louise Gassot
Abstract
We consider radial solutions to the cubic Schrödinger equation on the Heisenberg group
[TABLE]
This equation is a model for totally non-dispersive evolution equations. We show existence of ground state traveling waves with speed . When the speed is sufficiently close to , we prove their uniqueness up to symmetries and their smoothness along the parameter . The main ingredient is the emergence of a limiting system as tends to the limit , for which we establish linear stability of the ground state traveling wave.
Contents
-
4.3 Study of the limiting profile through the Cayley transform
-
5 Uniqueness of traveling waves for the Schrödinger equation
1 Introduction
1.1 Dispersion for non-linear Schrödinger equations
In this paper, we consider the cubic focusing Schrödinger equation on the Heisenberg group
[TABLE]
where denotes the sub-Laplacian on the Heisenberg group. When the solution is radial, in the sense that it only depends on , and , the sub-Laplacian writes
[TABLE]
The Heisenberg group is a typical case of geometry where dispersive properties of the non-linear Schrödinger equation disappear. Let us recall the motivation for this setting.
Fix a Riemannian manifold , and denote by the Laplace operator associated to the metric on . As observed by Burq, Gérard and Tzvetkov [7], qualitative properties of the solutions to the non-linear Schrödinger equation
[TABLE]
are strongly influenced by the underlying geometry of the manifold . When some loss of dispersion occurs, for example in the spherical geometry, a condition for well-posedness of the Cauchy problem in is that must be larger than a critical parameter.
To take it further, on sub-Riemannian manifolds, Bahouri, Gérard and Xu [3] noticed that the dispersion properties totally disappear for the sub-Laplacian on the Heisenberg group, leaving the existence and uniqueness of smooth global in time solutions as an open problem. In [11], Del Hierro analyzed the dispersion properties on H-type groups, proving sharp decay estimates for the Schrödinger equation depending on the dimension of the center of the group. More generally, Bahouri, Fermanian and Gallagher [2] proved optimal dispersive estimates on stratified Lie groups of step under some property of the canonical skew-symmetric form. In contrast, they also give a class of groups without this property displaying total lack of dispersion, which includes the Heisenberg group.
In this spirit, Gérard and Grellier introduced the cubic Szegő equation on the torus [14, 15] as a simpler model of non-dispersive Hamiltonian equation in order to better understand the situation on the Heisenberg group. The cubic Szegő equation was then studied on the real line by Pocovnicu [27], where it writes
[TABLE]
being the Szegő projector onto the space of fonctions in with non-negative frequencies. The cubic Szegő equation displays a strong link with the mass-critical half-wave equation on the torus [16] resp. on the real line [20]. On the real line, the cubic focusing half-wave equation writes
[TABLE]
where , . Some of the interactions between the Szegő equation and the half-wave equation will be detailed below, because they can be transferred to the setting of the Heisenberg group.
1.2 Traveling waves and limiting profiles
Constructing traveling wave solutions which are weak global solutions in the energy space can be obtained by a classical variational argument. For example, this technique was used to study the famous focusing mass-critical NLS problem
[TABLE]
From Weinstein’s work [35], the existence of a ground state positive solution to
[TABLE]
leads to a criterion for global existence of solutions in . The uniqueness of this ground state (up to symmetries) holds [18, 21].
Concerning the half-wave equation, the Cauchy problem is locally well-posed in the energy space [16, 20]. Moreover, one also gets a global existence criterion, derived from the existence of a unique [23] ground state positive solution to
[TABLE]
Contrary to the mass-critical Schrödinger equation on , the half-wave equation admits mass-subcritical traveling waves with speed (see Krieger, Lenzmann and Raphaël [20])
[TABLE]
The profile is a solution to
[TABLE]
Moreover, it satisfies
[TABLE]
While the existence of the profiles follows from a standard variational argument, their uniqueness is more delicate to prove. This can be done through the study of the photonic limit as follows. It has been shown [17] that the traveling waves converge as tends to to a solution of the cubic Szegő equation. More precisely, converges in to a profile , which is a ground state solution to
[TABLE]
From , we recover a traveling wave solution to the cubic Szegő equation by setting
[TABLE]
But Pocovnicu showed [27] that the traveling waves are unique up to symmetries, and that must have the form
[TABLE]
Moreover, the linearized operator around is coercive [28], and in particular, the Szegő profile is orbitally stable. Gérard, Lenzmann, Pocovnicu and Raphaël [17] deduced the invertibility of the linearized operator for the half-wave equation around the profiles when is close enough to , which leads to their uniqueness up to symmetries. This allowed them to define a smooth map of solutions on a neighbourhood of .
On the Heisenberg group, one can also construct a family of traveling waves with speed under the form
[TABLE]
The profile satisfies the following stationary hypoelliptic equation
[TABLE]
There exist ground state solutions, constructed as optimizers for some Gagliardo-Nirenberg inequalities derived from the Folland-Stein embedding [12]. The proof of existence relies on a concentration-compactness argument, which first appeared in the work of Cazenave and Lions [9] and was refined into a profile decomposition theorem on by Gérard [13]. The profile decomposition theorem was then adapted to the Heisenberg group by Benameur [4].
Our purpose is to show the uniqueness of the profiles when their speed is close to up to some symmetries. Following the strategy deployed on the half-wave equation, we derive a limiting system in the photonic limit . We then determine all ground states solutions to the limiting system and prove their linear stability. From the linear stability of the limiting ground states, we recover the uniqueness of the profiles up to symmetries when their speed is close to .
1.3 Main results
The Schrödinger equation on the Heisenberg group (1) enjoys the following symmetries : if is a solution, then
- •
for all , is a solution (translation in );
- •
for all , is a solution (phase multiplication);
- •
for all , is a solution (scaling).
Our main result is the uniqueness of the ground states when is close to .
Theorem 1.1**.**
There exists such that the following holds. For all , there is a unique ground state up to symmetries to (2)
[TABLE]
Denote by this ground state, then the set of all ground state solutions of the above equation can be described as
[TABLE]
For , can be chosen such that it tends as tends to to the profile
[TABLE]
and so that the map is smooth. Moreover, for all and all , lies in , and as tends to ,
[TABLE]
We refer to Theorem 5.14 for a more precise statement.
We now briefly present the emergence of the profile as a ground state solution to a limiting system, and the key ingredient for the proof of Theorem 1.1 which relies on the study of the limiting geometry.
We are interested in solutions with values in the homogeneous energy space , which is a Hilbert space endowed with the real scalar product
[TABLE]
For and , we will also make use of the duality product
[TABLE]
Up to the three symmetries (translation, phase multiplication, scaling), one can show the convergence as tends to of the profiles to some profile in . Then, is a ground state solution to
[TABLE]
The operator is an orthogonal projector from onto a subspace , which will be defined in part 2.2. In order to study this projector and the space , we introduce a link between the space and the Bergman space on the complex upper half-plane [8]. The orthogonal projection from onto then matches with a Bergman projector. This projection is a simplification of the usual Cauchy-Szegő projector for the Heisenberg group in the radial case.
A salutary fact is that the profile can be determined explicitly, and is unique up to symmetry :
[TABLE]
Our key result is the coercivity of the linearized operator around on the orthogonal of a finite-dimensional manifold in some subspace of (cf. part 2.2). On , the linearized operator around is defined by
[TABLE]
Theorem 1.2**.**
For some constant , the following holds. Let , and suppose orthogonal to the directions and in the Hilbert space . Then
[TABLE]
In particular, the linearized operator is non degenerate, in the sense that its kernel is composed only of three directions coming from the three symmetries of the equation :
[TABLE]
Following the approach employed in the study of the half-wave equation [17], one can then prove the invertibility of the linearized operators for the Schrödinger equation around the profiles for close enough to . In order to do so, we need to combine the above coercivity result with some regularity estimates and decay properties for . This enables us to achieve our goal, which is the uniqueness of these profiles up to symmetries for close to .
1.4 Stereographic projection and Cayley transform
Conclusive information on the linearized operator around is not easy to obtain directly. Indeed, the operator is self-adjoint acting on , but the space we consider is the Hilbert space . In order to get a coercivity estimate, we rely on a conformal invariance between the Heisenberg group and the CR sphere in called the Cayley transform
[TABLE]
where is here parametrized by the complex number and by .
This transformation links estimates for the linearized operator to the spectrum of the sub-Laplacian on the CR sphere, which is explicit [31]. Potential negative eigenvalues are discarded by the orthogonality conditions from Theorem 1.2. This latter step follows from technical but direct calculations.
For the -dimensional Heisenberg group , the Cayley transform gives an equivalence between and the CR sphere in . This transform is the counterpart of the stereographic projection, which links the space with the euclidean sphere in . Both transformations have been a useful tool in the study of fractional Folland-Stein inequalities on , resp. fractional Sobolev inequalities in , as we will now recall.
On the space , Lieb [24] characterized all optimizers for the fractional Sobolev embeddings , , , as the set of functions which, up to translation, dilation and multiplication by a non-zero constant, coincide with
[TABLE]
The stereographic projection appears in Lieb’s paper in order to show that these functions are actually optimizers. The formula for was first established with different methods for and by Rosen [29], and then for and arbitrary by Aubin [1] and Talenti [33].
Chen, Frank and Weth [10] showed a quadratic estimate for the remainder terms for the equivalent fractional Hardy-Littlewood-Sobolev inequalities. In their proof, the stereographic projection enables them to transfer the second order term in the Taylor expansion to the unit sphere , and give a simpler form to the eigenvalue problem.
On the Heisenberg group , Frank and Lieb [22] determined the optimizers for the fractional Folland-Stein embeddings , , , . These optimizers are the functions equal, up to translations, dilations and multiplication by a constant, to
[TABLE]
Here, the notation uses the identification of with . Using the Cayley transform, both problems of characterizing the optimizers [22] and studying the remainder term (see Liu and Zhang [25]) are carried to the complex sphere . When , the optimizers were first determined by Jerison and Lee [19], who already made use of the Cayley transform. One can notice that fixing , , we get
[TABLE]
Therefore, up to multiplication by a constant, coincides with , where is the ground state we are interested in. In fact, is an optimizer for the Folland-Stein inequality restricted to the subspace .
Plan of the paper
The paper is organized as follows. In section 3, we prove the existence of the profiles and their convergence to a ground state solution to the limiting system (3). We then determine all the limiting profiles (part 3.3), in particular, we show that they are unique up to symmetries. In section 4, we focus on the linear stability of the limiting profile . After recalling some results about orthogonal projections on Bergman spaces (part 4.1) and about the spectrum of the sub-Laplacian on the CR sphere (part 4.3), we prove the coercivity of the linearized operator around . Finally, in section 5, we retrieve the uniqueness of the profiles up to symmetries for close to . In order to do so, we first need to collect some regularity properties and decay estimates on the profiles , which come from the theory of elliptic and hypoelliptic equations (part 5.1).
Acknowledgements
The author is grateful to her PhD advisor P. Gérard for introducing her to this problem and for his patient guidance. She also thanks F. Rousset and J. Sabin for enlightening discussions and references.
2 Notation
2.1 The Heisenberg group
Let us now recall some facts about the Heisenberg group. We identify the Heisenberg group with . The group multiplication is given by
[TABLE]
The Lie algebra of left-invariant vector fields on is spanned by the vector fields , and . The sub-Laplacian is defined as
[TABLE]
When is a radial function, the sub-Laplacian coincides with the operator
[TABLE]
The space is endowed with a smooth left invariant measure, the Haar measure, which in the coordinate system is the Lebesgue measure . Sobolev spaces of positive order can then be constructed on from powers of the operator , for example, is the completion of the Schwarz space for the norm
[TABLE]
The distance between two points and in is defined as
[TABLE]
For convenience, the distance to the origin is denoted by
[TABLE]
2.2 Decomposition along the Hermite functions
In order to study radial functions valued on the Heisenberg group , it is convenient to use their decomposition along Hermite-type functions (see for example [26], Chapters 12 and 13). The Hermite functions
[TABLE]
form an orthonormal basis of . In , the family of products of two Hermite functions diagonalizes the two-dimensional harmonic oscillator : for all ,
[TABLE]
Given , we will denote by its usual Fourier transform under the variable, with corresponding variable
[TABLE]
For , set . Then
[TABLE]
Let , and denote by the subspace of functions in spanned by . A function belongs to if there exist functions such that
[TABLE]
For , the norm of writes
[TABLE]
Any function admits a decomposition along the orthogonal sum of the subspaces . Let us write where for all . Then
[TABLE]
Note that rotations of the variable commute with so is radial if and only if for all , is radial. Moreover, belongs to if and only if belongs to , and the same holds for .
For , we get an orthogonal decomposition of the space , and denote by the associated orthogonal projectors.
The particular space will be especially interesting in our discussion below. This space is spanned by a unique radial function , satisfying
[TABLE]
Set , then there exists such that
[TABLE]
and in this case
[TABLE]
3 Existence of traveling waves and limiting profile
In this section, we prove the existence of ground states for equation (2) with speed (part 3.1). Then, we show the convergence in of the profiles to a limiting profile as tends to (part 3.2). The profile is a ground state solution of equation (3), which will determine explicitly in part 3.3.
3.1 Existence of traveling waves with speed
A family of traveling wave solutions to the Schrödinger equation on the Heisenberg group (1) can be found under the form
[TABLE]
satisfying the equation
[TABLE]
The are constructed as minimizers of some Gagliardo-Nirenberg inequalities. We will be adapting the proofs of Krieger, Lenzmann and Raphaël [20] which concern the -critical half-wave equation on the real line. Our starting point is the Folland-Stein embedding [12].
Theorem 3.1** (Folland-Stein).**
Let and set . Then there exists such that, for ,
[TABLE]
In particular, from the embedding , we deduce some Gagliardo-Nirenberg inequalities.
Proposition 3.2** (Gagliardo-Nirenberg).**
Set . Then there exists some constant such that for every ,
[TABLE]
Proof.
Fix , and decompose along the spaces : , where . Then
[TABLE]
and
[TABLE]
We deduce the equivalence of norms
[TABLE]
The result follows from the Folland-Stein embedding . ∎
From the Gagliardo-Nirenberg inequalities, one knows that the infimum over non-zero radial functions of the functional
[TABLE]
is positive. Let us denote by the minimal value of . We want to show that it is attained by some . We consider a minimizing sequence for . Then this sequence converges to a minimizer for thanks to the following profile decomposition theorem.
Definition 3.3**.**
The couples of scalings and cores and of are said to be strange if
[TABLE]
Theorem 3.4** (Concentration-compactness).**
Fix a bounded sequence of radial functions in . Then there exist a subsequence , of , and sequences of cores , scalings , and radial functions such that :
the couples , , are pairwise strange ; 2. 2.
let
[TABLE]
then
[TABLE]
Moreover, for all , one has the following orthogonality relations as goes to :
[TABLE]
[TABLE]
and
[TABLE]
This result is an adaptation of a concentration-compactness argument due to Cazenave and Lions [9], which was refined into a profile decomposition theorem as above by Gérard [13] for Sobolev spaces on . One can find a proof of this profile decomposition theorem for Sobolev spaces on the Heisenberg group in Benameur’s work [4], which is here restricted to the subspace of radial functions.
3.2 The limit
In this part, we study the behavior of the traveling waves as tends to the limit . We show that these traveling waves converge up to symmetries to a limiting profile. The strategy is similar to [17] for the half-wave equation.
For , let be a minimizer of : . Up to a change of functions , one can choose such that
[TABLE]
so that is a solution to equation (2).
Definition 3.5** (Minimizers in ).**
For all , denote by the set of minimizers of which are satisfying
[TABLE]
Note that for , equation (2) is verified
[TABLE]
Definition 3.6** (Minimizers in ).**
For all radial functions whose Fourier transform have a non-zero component only along the Hermite-type function , define
[TABLE]
(note that on the space , ). Denote by its infimum
[TABLE]
Let be the set of minimizers of such that
[TABLE]
Then any is a solution to equation (3)
[TABLE]
Here are some remarks about this definition.
The minimum is attained and positive. The proof is similar as for the minimum , all there is to do is to restrict the profile decomposition theorem to the closed subspace of .
The term may not seem suitable since belongs to whereas is a projector defined on . Several arguments make sense to this term in later parts. On the one hand, we will see that (cf. part 3.3). On the other hand, the projector extends to for all (see Theorem 4.6).
The convergence result is as follows.
Theorem 3.7** (Convergence).**
For all , fix . Then, there exist a subsequence , scalings , cores and a function such that
[TABLE]
We introduce the quantity , which quantifies the gap between the norms of a function in and those of the profiles . We prove that is small, and then show that controls the distance up to symmetries from to the profiles in .
Definition 3.8**.**
For , define
[TABLE]
We first show a lemma about , .
Lemma 3.9**.**
There exist and such that the following holds. For all fix , and decompose along the Hermite-type functions from part 2.2
[TABLE]
where and . Then , and .
Proof.
Fix . Thanks to inequality (4),
[TABLE]
one knows that when .
Furthermore, let . Then, using the fact that ,
[TABLE]
Consequently, is bounded above and below :
[TABLE]
We will show that actually as tends to .
Let us decompose a minimizer along the Hermite-type functions from part 2.2
[TABLE]
where , and is a remainder term which will go to zero.
Multiplying equation (2) by , we get that for all ,
[TABLE]
Since the operators and let invariant the spaces , we can replace by in the left term of the equality
[TABLE]
Applying Hölder’s inequality, we deduce that
[TABLE]
Now, let us write more precisely the equivalence (4) between the norms and \big{(}-(\Delta_{\mathbb{H}^{1}}+\beta D_{s})u,u\big{)}_{\dot{H}^{-1}(\mathbb{H}^{1})\times\dot{H}^{1}(\mathbb{H}^{1})}^{\frac{1}{2}}. The left inequality can be controlled with sharper constants which do not depend on when we impose the function to have a zero component . Indeed, remark that when ,
[TABLE]
and when ,
[TABLE]
We deduce that for all , decomposing as , ,
[TABLE]
This implies the inequality
[TABLE]
which we can use for . Combining this inequality and the Folland-Stein inequality in (6) , we get
[TABLE]
so
[TABLE]
Since is bounded independently of thanks to the norm conditions (5) and the boundedness of , we deduce that as goes to ,
[TABLE]
This implies immediately that and Using the orthogonal decomposition in and the fact that on , we get
[TABLE]
and
[TABLE]
We are now in position to prove that From the definition of as a minimum on ,
[TABLE]
We already know that for all , so we conclude that
[TABLE]
Therefore, the norms of rewrite and We conclude that
[TABLE]
and
[TABLE]
∎
The following stability result allows us to complete the proof of Theorem 3.7.
Proposition 3.10**.**
Fix a sequence of radial functions in . Suppose that . Then, up to a subsequence, there exist scalings , cores and a ground state optimizing
[TABLE]
such that
[TABLE]
Proof.
Let such that . Since is a closed subspace of , one can restrict the concentration-compactness theorem 3.4 to this subspace. In consequence, one can assume that the profiles from the theorem lie in . Therefore, up to a subsequence, there exist a core sequence , a scaling sequence , and radial functions such that
- •
for all , , the couples are pairwise strange ;
- •
let
[TABLE]
then
[TABLE]
Moreover, for all , as goes to ,
[TABLE]
and
[TABLE]
By construction, since goes to [math], , and tends to . But from the definition of as a minimum,
[TABLE]
All the above inequalities must then be equalities.
In particular, only one of the profiles is allowed to be non-zero, we denote this profile by , and by and the corresponding rests, scalings and cores. Then must be a ground state of the functional , and
[TABLE]
From relation (8), as goes to ,
[TABLE]
Since must converge to because of the inequalities turned into equalities, we get that , therefore the sequence converges to in . ∎
Proof of Theorem 3.7.
Consider the sequence from Lemma 3.9. We know that .
Applying Proposition 3.10, there exist a subsequence with , a core sequence , a scaling sequence , and a ground state such that
[TABLE]
To conclude, since satisfies and since the norm is invariant by translation and scaling, we deduce that
[TABLE]
∎
3.3 Ground state solutions to the limiting equation
We now show that the optimizers for
[TABLE]
are unique up to symmetries (translation, phase multiplication and scaling).
Proposition 3.11**.**
The minimum is equal to . Moreover,
- •
the set composed of all minimizing functions for is
[TABLE]
- •
the set composed of all minimizing functions for which satisfy
[TABLE]
(so that is a solution to equation (3)) is
[TABLE]
Proof.
Let . Let us transform the expression of the norm of as follows
[TABLE]
Let be the function associated to in the decomposition along
[TABLE]
Then
[TABLE]
and
[TABLE]
Applying Cauchy-Schwarz’s inequality,
[TABLE]
Consequently,
Let us discuss the equality case. Equality holds if and only if there is equality in Cauchy-Schwarz’s inequality, that is to say, for almost every , and almost every ,
[TABLE]
Fix an open interval contained in with positive length . Then
[TABLE]
therefore, is continuous on as a product of two functions. Since is not identically zero, one can find an interval such that
[TABLE]
Integrating equality
[TABLE]
along the variable, one gets that for all ,
[TABLE]
Therefore, has regularity on , so also has regularity on . Fix such as . Letting in equality (9), one knows that admits a finite limit as which is equal to
[TABLE]
Likewise, computing the derivative along the variable of equality (9),
[TABLE]
one gets that admits a finite limit at which is equal to
[TABLE]
We deduce that satisfies the differential equation
[TABLE]
Let us show that . Supposing , we would get that for all , . Then would be a constant function, so would be constant too since
[TABLE]
As is in , this would imply that is identically zero, which is a contradiction.
Therefore, solving the differential equation, there exist some constants and such that, for all ,
[TABLE]
The assumption implies that .
Computing the inverse Fourier transform leads to
[TABLE]
so
[TABLE]
This is the first point of the proposition. Let us now prove the second point.
Since the equation and the result we want to show are both invariant under translation of the variable, up to translating of a factor , we will assume from now on that is a (positive) real number.
Now,
[TABLE]
and
[TABLE]
so satisfies if and only if . In this case, write for some , then,
[TABLE]
∎
We proved that up to the symmetries of the equation, there is a unique minimizer in , which is equal with the choice of parameters to
[TABLE]
with Fourier transform
[TABLE]
Note that the profile has infinite mass.
4 The limiting problem
We now focus on the stability of , which is the unique ground state solution up to symmetry to (3)
[TABLE]
Let us study the linearized operator close to
[TABLE]
We first study the linearized operator on the real subspace spanned by with the help of the correspondence with Bergman spaces (parts 4.1 and 4.2). Then, on the orthogonal of this subspace in , we prove the coercivity of by using the spectral properties of the sub-Laplacian on the CR sphere via the Cayley transform (parts 4.3 and 4.4). We conclude this section with some estimates about the invertibility of the linearized operator (part 4.5).
4.1 Bergman spaces on the upper half plane
In order to better understand the spaces , , we need to introduce their link with Bergman spaces on the upper half-plane . The space is the subspace of spanned (after a Fourier transform under the variable) by : if and
[TABLE]
where
[TABLE]
Let us define the weighted Bergman spaces as follows.
Definition 4.1** (Weighted Bergman spaces).**
Given and , the weighted Bergman space is the subspace of composed of holomorphic functions of the complex upper half-plane :
[TABLE]
Thanks to the following Paley-Wiener theorem on weighted Bergman spaces [8], one can associate to each element of a function of the weighted Bergman space .
Theorem 4.2** (Paley-Wiener).**
Let . Then for every , the following integral is absolutely convergent on
[TABLE]
and defines a function which satisfies
[TABLE]
Conversely, for every , there exists such that (10) and (11) hold.
When dealing with functions from the space , we use the usual Paley-Wiener theorem [30].
Definition 4.3**.**
The Hardy space space of holomorphic functions of the upper half-plane such that the following norm is finite :
[TABLE]
Theorem 4.4** (Paley-Wiener).**
For every , the following integral is absolutely convergent on
[TABLE]
and defines a function in the Hardy space which satisfies
[TABLE]
Conversely, for every , there exists such that (12) and (13) hold.
Given any radial, one can define
[TABLE]
If , , then is holomorphic, since the holomorphic representation given by the suitable Paley-Wiener theorem is given by . Note that
[TABLE]
and
[TABLE]
Moreover, if ,
[TABLE]
For example, the holomorphic representation in the Hardy space of
[TABLE]
is
[TABLE]
One can now identify the orthogonal projector from the Hilbert space onto its closed subspace as a projector from to . More generally, for , the orthogonal projector from the Hilbert space onto its closed subspace corresponds to the Bergman projector from onto . For general , the Bergman projector can be expressed as a convolution through a reproducing kernel called Bergman kernel [8]. We are here interested in the case .
Proposition 4.5**.**
For all ,
[TABLE]
For , the holomorphic function is the projection of on the subspace of :
[TABLE]
so
[TABLE]
For , the orthogonal projector can be extended as a bounded operator from the space onto the Bergman space [8].
Theorem 4.6**.**
Let . Then the Bergman projector is a bounded operator in if and only if .
One has when this quantity is finite. Therefore, if (which embeds in ), it makes sense to consider .
4.2 Symmetries of the equation and orthogonality conditions
In this part, we focus on the linearized operator around
[TABLE]
This operator is self-adjoint acting on , but we are interested in elements of endowed with its own scalar product. After studying the action of on the real subspace spanned by , we will try to find a new form for on the orthogonal of in which is more suitable for a spectral study.
Proposition 4.7**.**
In the real subspace of spanned by the orthogonal basis of vectors , the linearized operator has the form
[TABLE]
Proof.
We define
[TABLE]
For , the holomorphic function satisfies
[TABLE]
We study on . For , define
[TABLE]
Let be a function defined on a neighbourhood of , valued in , and satisfying and . Then
[TABLE]
Thanks to the invariance under translation in the variable, we consider . For all , , so
[TABLE]
Following the same pattern, the invariance under phase multiplication gives, with , that for all , so
[TABLE]
Finally, let , then for all thanks to the scaling invariance, so
[TABLE]
Remark that
[TABLE]
Consequently,
[TABLE]
In order to determine entirely on the subspace , it is sufficient to calculate . Yet
[TABLE]
We have proved that in the orthogonal basis of , admits the matrix representation
[TABLE]
∎
We want now to work on the orthogonal of , so we will study the orthogonality conditions. For this part, it is more natural to work with the complex scalar product in
[TABLE]
We have
[TABLE]
Proposition 4.8**.**
Let , its holomorphic counterpart. Then
[TABLE]
Consequently,
- •
* is orthogonal to and in if and only if ;*
- •
* is orthogonal to and if and only if .*
Note that this proposition enables us to check easily that the basis of is orthogonal in .
Proof.
We study of the duality bracket in between and , for which we use the holomorphic function . Knowing that
[TABLE]
equality (14) for leads to
[TABLE]
Let , and define on . Applying the residue formula to , which is holomorphic on with a simple pole at , we get that on every rectangle containing ,
[TABLE]
Since the integral of is absolutely convergent on , there are some sequences and of real numbers converging to and satisfying
[TABLE]
[TABLE]
and
[TABLE]
Applying formula (15) to the rectangles and passing to the limit , one gets
[TABLE]
Consequently
[TABLE]
since goes to [math] as goes to . This latter fact can be established by using the function associated to , which satisfies for all
[TABLE]
indeed,
[TABLE]
which goes to [math] as goes to .
We have shown as wanted that
[TABLE]
In particular,
[TABLE]
∎
We now check that , , decomposes in the Hilbert space as an orthogonal sum , where is the orthogonal of in .
Corollary 4.9**.**
Let and decompose as , where , and . Then
[TABLE]
and
[TABLE]
Proof.
We decompose as .
Let us show that is orthogonal to , , and for the duality product . Let us treat separately each term of
[TABLE]
By assumption on , and
[TABLE]
and
[TABLE]
Moreover, using Proposition 4.8,
[TABLE]
since and . In the same way,
[TABLE]
Finally,
[TABLE]
and in the same way,
[TABLE]
Therefore, , where the orthogonal is taken for the duality product . In particular,
[TABLE]
Now, since is in , write for some real number . One has
[TABLE]
which gives the first part of the proposition.
Then,
[TABLE]
so we conclude that
[TABLE]
∎
We now give a simplified expression of when is orthogonal to and .
Proposition 4.10**.**
For , the following identity is true
[TABLE]
Note that it is more convenient to switch to a complex scalar product because is a complex linear operator of the variable .
Proof.
We only have to show that is zero. We calculate
[TABLE]
Now, , therefore, as soon as . ∎
4.3 Study of the limiting profile through the Cayley transform
We now study the spectrum of , which is now natural since we search for a coercivity estimate on and we just proved (Proposition 4.10) that
[TABLE]
This spectrum can be determined via the equivalence between the Heisenberg group and the CR sphere in called the Cayley transform. We rely on [6] in order to introduce this equivalence and its spectral consequences. In this part, we will denote by the elements of the Heisenberg group, bearing in mind that with the former notations. The Cayley transform writes
[TABLE]
The inverse of is . The Jacobian of the Cayley transform is
[TABLE]
Notice that is linked to as follows
[TABLE]
For any integrable function on , we have the relation
[TABLE]
Here, denotes the standard Euclidean volume element of . We consider the complex scalar product on
[TABLE]
One can notice that
[TABLE]
In particular, is in , so if a function is such that belongs to (for example if ), then belongs to , and therefore is in .
On the standard sphere , denote
[TABLE]
Then the vector fields
[TABLE]
generate the holomorphic tangent space to .
The conformal sub-Laplacian is defined as
[TABLE]
where is the sub-Laplacian. One can construct the Sobolev space
[TABLE]
The operator on the sphere has a direct link with the sub-Laplacian on the Heisenberg group via the Cayley transform : for any radial function in ,
[TABLE]
Notice that a function in maps to a function in via the following transformation.
Proposition 4.11**.**
Let be a function on , and define a function on by
[TABLE]
Then for radial ,
[TABLE]
and
[TABLE]
Therefore, defines a function in if and only if is in .
Proof.
Fix a radial function , and define by (16). Then
[TABLE]
so
[TABLE]
Moreover, when , then and
[TABLE]
∎
Propositions 4.10 and 4.11 combined imply the following corollary.
Corollary 4.12**.**
Let in . Then
[TABLE]
The spectrum of the operator on is well known. Indeed, the space endowed with the inner product admits the orthogonal decomposition
[TABLE]
where is the space of harmonic polynomials on that are homogeneous of degree in and in , restricted to the sphere . Fix , then the dimension of is
[TABLE]
The spectrum of is as follows [31].
Proposition 4.13**.**
Let . Then for all ,
[TABLE]
In particular, the smallest eigenvalue of is , with multiplicity and eigenvectors the constant functions on . The second one is also negative, equal to , with eigenvectors spanned by . The third one is positive, equal to .
Let us study the radial property on . Let be a radial function, as in (16)
[TABLE]
Since and only depend on and , so does , which means that only depends on , and . This discards the eigenfunctions and in the above orthogonal decomposition of .
The last step left is to treat the remaining eigenvectors with negative eigenvalues for the operator , in order to find a lower bound in the quadratic form
[TABLE]
for These eigenvectors are the constant function (with eigenvalue ) and the harmonic polynomials and (with eigenvalue ). In order to do so, we reformulate the above spectral study back to the setting of holomorphic functions of the upper complex plane.
For fractional Sobolev embeddings on and fractional Folland-Stein embeddings on ([10] and [25]), the potential negative eigenvalues are naturally discarded by the orthogonality conditions, since they correspond to the tangent space to the manifold of functions equal, up to translation, dilation and multiplication by a non-zero constant, to the respective optimizers and :
[TABLE]
resp.
[TABLE]
4.4 Coercivity of the linearized operator
In this part, we use the spectrum of on the CR sphere in order to get a coercivity estimate on . The lowest eigenvalues of are, in increasing order,
[TABLE]
The negative eigenfunctions are (for ), (for ) and (for ).
Let as in (16)
[TABLE]
Then decompose as :
[TABLE]
Remark that since , and , these three vectors are pairwise orthogonal in , and they are orthogonal to . The knowledge of the eigenvalues of enables us to say that
[TABLE]
But
[TABLE]
so
[TABLE]
Let us replace these last terms by their expression on the Heisenberg group. We define
[TABLE]
From the identity
[TABLE]
we get that
[TABLE]
[TABLE]
and
[TABLE]
Thanks to Proposition 4.11, one knows that
[TABLE]
so
[TABLE]
For , let us consider the space in which lies.
Since , from the embedding , one knows that is in so belongs to .
From part 4.1, being in , (defined by for ) is a holomorphic function ( lies in the Hardy space ). This implies that the function is holomorphic too : we have shown that is in the Bergman space .
Moreover, the fact that is orthogonal to in is equivalent by Proposition 4.8 to . But then, has a double zero at . Proposition 4.8 again implies that
[TABLE]
which is equivalent to
[TABLE]
Now, define and denote by the orthogonal projection from onto . We have shown that if , then . In particular, for ,
[TABLE]
Back to the quadratic form, we deduce that
[TABLE]
Let us denote
[TABLE]
with
[TABLE]
[TABLE]
and
[TABLE]
We try to find an upper bound on the quadratic form on
[TABLE]
In particular, we want to show that this upper bound is strictly less than .
Let us first write explicitly the orthogonal projector from onto the subspace We start by finding an orthogonal basis of for the scalar product on . We know by Proposition 4.8 that
[TABLE]
so
[TABLE]
Recall that
[TABLE]
so
[TABLE]
Therefore,
[TABLE]
In the same way,
[TABLE]
so is orthogonal to :
[TABLE]
Moreover,
[TABLE]
Since is of norm
[TABLE]
The orthogonal projection on in then writes
[TABLE]
Besides, from Proposition 4.5, we know that the orthogonal projection from onto is given by
[TABLE]
Therefore, the orthogonal projection on the space writes, for ,
[TABLE]
We use the following estimates of , .
Lemma 4.14**.**
Set , then
[TABLE]
[TABLE]
and
[TABLE]
The proof of this lemma is rather technical and postponed to Appendix 6. It involves simplifying the integrals defining , : we determine explicitly the holomorphic function which coincides with on thanks to a massive use of the residue formula. This part is necessary in order to compute numerically . Without this preliminary work, there is a four-dimensional numerical integration to perform and the error estimate is big with a naive approach.
Moreover, a direct calculation gives
[TABLE]
[TABLE]
and
[TABLE]
We deduce that
[TABLE]
This enables us to get a sufficiently precise estimate for the quadratic form. Indeed, we want to show that the norm of the following quadratic form is smaller that
[TABLE]
Applying Cauchy-Schwarz’s inequality, for ,
[TABLE]
But we just estimated
[TABLE]
as
[TABLE]
Going back to in
[TABLE]
But
[TABLE]
so
[TABLE]
and
[TABLE]
Set . Since , the following theorem holds.
Theorem 4.15**.**
The linearized operator around
[TABLE]
is coercive outside the finite-dimensional subspace spanned by , , and : there exists such that for all in then
[TABLE]
For the Szegő equation, Pocovnicu proved in [28] that the linearized operator is coercive in directions which are symplectically orthogonal to the manifold of solitons
[TABLE]
The non degeneracy follows from this theorem and the study of on the finite-dimensional subspace (part 4.2).
Corollary 4.16**.**
The linearized operator is non degenerate :
[TABLE]
4.5 Invertibility of
The following corollaries of Theorem 4.15 make precise the invertibility of and the linear stability up to symmetries of the ground state . These estimates will be useful in order to prove the invertibility of the linearized operators around in section 5.
Corollary 4.17**.**
There exists such that for all ,
[TABLE]
Proof.
Let . We decompose into three orthogonal components where , and . Then , and satisfies the above coercivity estimate 4.15 : for some ,
[TABLE]
Write for some real number . Then , so
[TABLE]
But
[TABLE]
so . In particular, .
Thanks to Corollary 4.9, we deduce that
[TABLE]
Moreover, since is in the space spanned by , and , there exists some constant such that
[TABLE]
Therefore,
[TABLE]
∎
Let us remind that for , we have set in Definition 3.8
[TABLE]
Corollary 4.18**.**
There exists and such that for all , if , then
[TABLE]
Proof.
Let and set . We decompose as above in three orthogonal parts where , and .
The link between and the linearized operator appears through the functional
[TABLE]
Indeed,
[TABLE]
but since is a solution to and belongs to , we have the Taylor expansion
[TABLE]
Therefore,
[TABLE]
From Corollary 4.9, we know that
[TABLE]
Consequently, the coercivity estimate on implies that for some constants ,
[TABLE]
Let us focus on the term . We use the fact that
[TABLE]
so
[TABLE]
We use this estimate to control in the lower bound (17) of . Up to decreasing , one can absorb the term into the term : there exist and such that if ,
[TABLE]
We now control . If , we have an upper bound
[TABLE]
In the end, there exist and such that for all ,
[TABLE]
Up to decreasing again, we can absorb the term into the term . Note that is orthogonal in to and , therefore , and . ∎
We now control the distance of a function to the profile up to symmetries by the difference of their norms .
Definition 4.19**.**
Fix , , and . We denote by the function in defined by
[TABLE]
Corollary 4.20**.**
There exist and such that for all , if , then
[TABLE]
Proof.
Assume by contradiction that there exists a sequence such that , but
[TABLE]
According to the consequence of the profile decomposition theorem stated in Proposition 3.10, since , then, up to a subsequence, there exist cores , an angle , and scalings such that
[TABLE]
We will make use of the implicit function theorem in order to apply Corollary 4.18 with some functions orthogonal to and and get a contradiction. Consider the maps
[TABLE]
and
[TABLE]
Then so . Moreover, is smooth in and the Jacobian of this application along at is equal to
[TABLE]
Replacing all the terms by their values, we get
[TABLE]
which is invertible. By the implicit function theorem, we get continuously differentiable functions , and , defined in a neighbourhood of and valued in a neighbourhood of : if , then (where is taken from Corollary 4.18). These functions satisfy and
[TABLE]
Now, since , there exists such that for all , . Therefore, defining , and , we get such that and
[TABLE]
Moreover, by invariance under symmetries,
[TABLE]
so applying Corollary 4.18 to , we get that for some constant ,
[TABLE]
This is a contradiction with the assumption that
[TABLE]
∎
5 Uniqueness of traveling waves for the Schrödinger equation
In this section, we show that the study of the limiting profile , and in particular the linear stability, enables us to prove some uniqueness results about the sequence of traveling waves with speed sufficiently close to . The argument is similar as in [17] for the half-wave equation : for close to , is close to so we can make a link between the respective linearized operators.
In order to do so, we first need to show some regularity properties and decay estimates on the profiles (part 5.1). For the half-wave equation, these estimates came from the Sobolev embedding , and the convergence in .
Recall that from Definition 3.5, denotes the set of ground states satisfying (2)
[TABLE]
One can summarize the convergence of from part 3.2 combined with the uniqueness result for from section 3.3 as follows.
Proposition 5.1**.**
For all , fix a ground state of speed . Then there exist scalings in , cores in , and an angle in such that after a change of functions , the sequence of solutions to (2)
[TABLE]
converges as in to the unique (up to symmetries) ground state solution to (3)
[TABLE]
which writes
[TABLE]
5.1 Regularity and decay of the traveling waves
In this part, we collect information on the regularity of the profiles . We show that after the transformations from Proposition 5.1, they are uniformly bounded in for all when is close to . We deduce an uniform bound in , from which we estimate the decay of these profiles when the variable tends to infinity. Finally, we show that is bounded in for close to and fixed .
The operator admits an explicit fundamental solution [26].
Theorem 5.2**.**
Let
[TABLE]
Then is a fundamental solution for : in the sense of distributions,
[TABLE]
The proof of regularity for the relies on the use of generalized Hölder’s and Young’s inequalities in weak Lebesgue spaces (see [34] for the strategy). We define the Lorentz spaces as follows.
Definition 5.3** (Lorentz spaces).**
Fix and . The Lorentz space is the set of all functions with finite norm, where
[TABLE]
The usual spaces coincide with the spaces. In general, is not a norm since the Minkowski inequality may fail. The following inclusion relations are true [32].
Proposition 5.4** (Growth of spaces).**
Let and such that . Then .
Note that the functions , , are uniformly bounded in . Indeed, let , then
[TABLE]
moreover, the constants
[TABLE]
are bounded for
Definition 5.5** (Convolution).**
The convolution product of two functions and on is defined by
[TABLE]
Note that the convolution in is not commutative, and that the relation
[TABLE]
holds for every left-invariant vector field in (for example, ), whereas in general .
Let us recall the generalizations of Hölder’s and Young inequalities for Lorentz spaces.
Lemma 5.6** (Hölder).**
Let and such that
[TABLE]
with the convention . Then there exists such that for any and any , we have and
[TABLE]
Lemma 5.7** (Young).**
Let and such that
[TABLE]
with the convention . Then there exists such that for any and any , we have and
[TABLE]
Theorem 5.2 implies the following formula for .
Corollary 5.8**.**
For all ,
[TABLE]
Let us now prove the boundedness of in , .
Theorem 5.9**.**
For all , there exist and such that for all , .
Proof.
We proceed by contradiction. Fix . Assume that there exists a sequence in converging to and such that for all . By duality and density of in , , there exists a sequence in such that for all and
[TABLE]
Let us define
[TABLE]
Since , the supremum over functions of is finite. Thus, if we change to an other function from where is closer to this supremum, the corresponding to and thus the new supremum will decrease. We can therefore assume up to changing that
[TABLE]
By density, let be a sequence in such that . Denote, for , . We will use the fact that the functions have a small norm in when and are large enough thanks to Proposition 5.1. Let us cut
[TABLE]
in order to evaluate these terms separately.
Concerning the first term in the right hand side, using Lemmas 5.6 and 5.7,
[TABLE]
(we used that since ). Using again Lemma 5.6, choosing any such that and , we get
[TABLE]
We know that for all , that is bounded independently of and that is bounded in , so there exists such that for all ,
[TABLE]
Applying Fubini’s theorem to the second term in the right hand side,
[TABLE]
where
[TABLE]
has the same bounds in as
But thanks to Lemmas 5.6 and 5.7,
[TABLE]
Note that the assumption ensures that
Moreover, this last inequality still holds with the same reasoning when replacing by and its conjugate exponent by Fix
[TABLE]
Then, when is non-zero in , the function
[TABLE]
belongs to . Therefore by definition of , for all ,
[TABLE]
But
[TABLE]
and this quantity converges to [math] as goes to thanks to Proposition 5.1 and the construction of . Therefore, there exists such that, for all and , , or in other words,
[TABLE]
Since
[TABLE]
we get that for all and ,
[TABLE]
Fix and consider this inequality. There is a contradiction when goes to , since the right-hand side 2\left|\int_{\mathbb{H}^{1}}\big{(}(f_{k}Q_{\beta_{n}})\star m_{\beta_{n}}\big{)}\varphi_{n}\,{\mathrm{d}}\lambda_{3}\right| remains bounded by , whereas the left-hand side tends to . ∎
Corollary 5.10**.**
For all and , there exist and such that for all , .
We now collect some estimates on the decay of when is close to .
Theorem 5.11**.**
There exist and such that, for all and all ,
[TABLE]
where is the distance from to the origin.
Proof.
Let us first show that the are uniformly bounded in for , where is large enough.
Let . Applying Hölder’s inequality 5.6 to the right hand side term,
[TABLE]
The conclusion follows from Corollary 5.10.
For every , we set and
[TABLE]
Let , . We cut
[TABLE]
On the one hand, if then , so
[TABLE]
Thanks to Theorem 5.9, one knows that up to increasing , there exists some constant such that for all .
On the other hand, applying Hölder’s inequality 5.6 to the right hand side term,
[TABLE]
Thanks to the convergence of to in as tends to and the Folland-Stein embedding , the sequence converges to in and therefore is tight in . Moreover, the norms , for close to , are bounded. Therefore, up to increasing again, one can choose such that
[TABLE]
Then, for every ,
[TABLE]
Combining the two estimates and applying them to , so that , we get
[TABLE]
Iterating, one knows that for all ,
[TABLE]
Since for , this completes the proof of the result. ∎
Corollary 5.12**.**
For some , for all , there exists such that for all ,
[TABLE]
Proof.
It is enough prove the first part of the claim for . We proceed by induction on . We already know that it is true for because
[TABLE]
and is bounded (cf. 3.2).
The following additional assumption will be useful in the induction step. Up to increasing , we can assume that the are bounded in and in for .
Suppose now that the are bounded in for an integer . Then by Leibniz’ rule, since for radial functions, with and , there exist some coefficients such that
[TABLE]
The notation is similar as in , being a finite sequence of letters and of length , , . The following inequality can be easily proven via the Fourier transform :
[TABLE]
We replace the term on the left by the above sum. By integration by parts and Leibniz’ rule again, we can manage so that the following indexes of derivation all have length less or equal than :
[TABLE]
We now apply Hölder’s inequality with exponents satisfying , to be chosen later. Then, denoting ,
[TABLE]
Let us choose the appropriately. The aim is to use complex interpolation, and in particular the following relation between homogeneous Sobolev spaces (see e.g. [5], Theorem 6.4.5, assertion (7))
[TABLE]
where , and
[TABLE]
For example, we choose and such that
[TABLE]
Then
[TABLE]
so , and
[TABLE]
Moreover, this choice leads to the exponents
[TABLE]
Since ,
[TABLE]
we can therefore apply the interpolation result.
Since there is a finite number of terms in the sum, the boundedness of in , in and in for ensures that there exists such that for ,
[TABLE]
so the are bounded in . ∎
5.2 Invertibility of
For the linearized operator around for the Schrödinger equation is
[TABLE]
We prove the invertibility of this operator on a space of finite co-dimension.
Proposition 5.13**.**
There exist a neighbourhood of , and some constant such that for all , for all , and for all ,
[TABLE]
Proof.
Let and . Let . We decompose where and .
We split as
[TABLE]
where
[TABLE]
[TABLE]
[TABLE]
and
[TABLE]
We treat each term separately.
Concerning , thanks to Corollary 4.17,
[TABLE]
Since , and are in , we know that , and .
Consider now and . Let be the constant in the Folland-Stein embedding
[TABLE]
Since the sequence is bounded by some constant ,
[TABLE]
and
[TABLE]
Let to be determined later. There exists such that for ,
[TABLE]
We conclude by the dual embedding that there exists a constant (independent of ) such that for all ,
[TABLE]
Finally, we focus on
[TABLE]
In order to bound the norm of this term, we will use the fact that
[TABLE]
On the one hand, by inequality (7),
[TABLE]
On the other hand,
[TABLE]
To summarize,
[TABLE]
and by removing the squares appropriately,
[TABLE]
We conclude by combining all the estimates. Because of the orthogonality of the decomposition along the spaces in ,
[TABLE]
so we can add up the estimates to get
[TABLE]
The terms compensate as follows. Concerning , fix small enough in the sense that
[TABLE]
Then for all ,
[TABLE]
Let now such that for all ,
[TABLE]
Then for all ,
[TABLE]
∎
5.3 Uniqueness of the traveling waves for close to
Theorem 5.14**.**
There exist and a neighbourhood of in such that for all , there is a unique . Moreover,
for all ,
[TABLE] 2. 2.
for all and all , ; 3. 3.
the map is smooth, tends to as tends to , and its derivative is uniquely determined by
[TABLE]
Proof.
Fix any neighbourhood of . We first prove the existence of a profile for close enough to . For , we choose arbitrarily. By combining Corollary 4.20 with the fact that from Lemma 3.9, we know that
[TABLE]
The same argument as in the proof of Corollary 4.20, based on the implicit function theorem, enables us to state that for close enough to , one can choose such that and
[TABLE]
This gives the existence part of the result.
We now prove uniqueness for some small neighbourhood of . We first set as the neighbourhood of from Proposition 5.13. Let , and fix two profiles and in . We define
[TABLE]
By subtracting the equations solved by and , satisfies
[TABLE]
so that
[TABLE]
Since belongs to the neighbourhood from Proposition 5.13, this means that for some constants and ,
[TABLE]
Up to reducing the neighbourhood , one can chose it small enough such that has to be the zero function.
The description of the set is then a direct consequence. Indeed, if , fix . We know from the first point that is sufficiently close to to ensure the existence of such that . By the uniqueness point, .
We now show the convergence of to in for all . Applying Corollary 4.18 to , we know that for close to ,
[TABLE]
But from Proposition 3.9, therefore
One can now deduce that for all , as goes to ,
[TABLE]
Indeed, the interpolation formula [5]
[TABLE]
with chosen so that , leads to
[TABLE]
and it only remains to use the fact that is bounded in for close to (Corollary 5.12) and that as goes to .
We now prove the last point of the theorem about the smoothness of the map . We first show that equation (18) uniquely determines a function lying on the appropriate space
[TABLE]
Define
[TABLE]
and set
[TABLE]
Notice that takes values in the space . Indeed, the derivative is equal to
[TABLE]
In particular, since and belong to , and since vanishes on this space,
[TABLE]
or equivalently .
Consider as a self-adjoint operator on . Then thanks to Proposition 5.13, we get that . Therefore,
[TABLE]
so . This implies that is an isomorphism from to , with continuous inverse :
[TABLE]
In particular, , and by invertibility of from to , is uniquely determined and satisfies (18).
We now show that is a derivative of the map . Fix . For small enough, is well defined. Moreover, since and are both solution to the equation , then
[TABLE]
Actually, since is smooth in the variable,
[TABLE]
Replacing by , we get
[TABLE]
Since , we know that . This implies that for some constant ,
[TABLE]
But
[TABLE]
so
[TABLE]
Letting , we get that , so the map is indeed with derivative . The smoothness follows from an implicit function theorem. Set
[TABLE]
If has regularity for , then the function is also . For fixed , , and , which is an isomorphism from to . Applying the implicit function theorem, there exists a map defined on a neighbourhood of in and valued in such that and that on this neighbourhood,
[TABLE]
In particular for close to , and since is uniquely determined by (18), . The function being , supposing that is for some integer , then is , and therefore is . ∎
6 Appendix : proof of Lemma 4.14
We establish an explicit formula for the orthogonal projections , and which are under integral form. Then, we estimate numerically , , in order to get Lemma 4.14.
We know that
[TABLE]
Let us apply the change of variables , . Then
[TABLE]
We now apply the change of variables , :
[TABLE]
Thanks to Fubini’s theorem, one can exchange the integral signs so that
[TABLE]
The residue formula implies the following result. For any rational function such that is convergent, then
[TABLE]
where is the positive determination of the logarithm. Here, we consider the rational function R(v)=\frac{1}{\big{(}\frac{x^{2}-2zx-1}{x^{2}-2ix-1}+v\big{)}^{2}}\frac{1}{(v+1)}, . We fix .
Assume that so that . The residues at the simple pole and the double pole are equal to
[TABLE]
and
[TABLE]
Remark that
[TABLE]
Therefore,
[TABLE]
and
[TABLE]
Consequently,
[TABLE]
We can integrate every term of the right hand side. First,
[TABLE]
Then, an integration by parts leads to
[TABLE]
We conclude that
[TABLE]
We apply the residue formula to get an exact expression for . We consider the rational function . Fix
[TABLE]
Since , the rational function admits three simple poles , and and one double pole . We calculate the residue
[TABLE]
The identities , , and enable to simplify
[TABLE]
The same arguments lead to
[TABLE]
Moreover, the residue at the pole is
[TABLE]
Finally, the residue a the double pole is
[TABLE]
which simplifies as
[TABLE]
We conclude that
[TABLE]
therefore, as soon as ,
[TABLE]
with
[TABLE]
Note that is well defined because if is real, then should be real, which we exclude by assumption ().
We apply the same strategy for . We have
[TABLE]
With the change of variables , , we get
[TABLE]
Now apply the change of variables , :
[TABLE]
Thanks to Fubini’s theorem, one can exchange the integral signs so that
[TABLE]
We apply the consequence of the residue formula to R(v)=\frac{1}{\big{(}\frac{x^{2}-2zx-1}{x^{2}-2ix-1}+v\big{)}^{2}}\frac{1}{(v+1)^{2}}, . We fix as in the first point.
Assume that , therefore . The residue at the double pole is equal to
[TABLE]
The residue at the double pole is
[TABLE]
Therefore,
[TABLE]
We now integrate again in to get that for all ,
[TABLE]
We do the last computation for . We have
[TABLE]
Apply the change of variables , , then
[TABLE]
We now put , :
[TABLE]
Thanks to Fubini’s theorem, one can exchange the integral signs so that
[TABLE]
We have already done the computation of the integral in the variable in the latter point. We proved that putting R(v)=\frac{1}{\big{(}\frac{x^{2}-2(s+it)x-1}{x^{2}-2ix-1}+v\big{)}^{2}}\frac{1}{(v+1)^{2}},
[TABLE]
Therefore,
[TABLE]
We now integrate again in to get that for all ,
[TABLE]
Now we can compute numerically , , the error estimate for every term can be chosen almost arbitrarily now that we know .
We set and we deduce
[TABLE]
[TABLE]
and
[TABLE]
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[1] T. Aubin. Problèmes isopérimétriques et espaces de Sobolev. J. Differential Geom. , 11(4):573–598, 1976.
- 2[2] H. Bahouri, C. Fermanian-Kammerer, and I. Gallagher. Dispersive estimates for the Schrödinger operator on step-2 stratified Lie groups. Analysis & PDE , 9(3):545–574, 2016.
- 3[3] H. Bahouri, P. Gérard, and C.-J. Xu. Espaces de Besov et estimations de Strichartz généralisées sur le groupe de Heisenberg. Journal d’Analyse Mathématique , 82(1):93–118, Dec 2000.
- 4[4] J. Benameur. Description du défaut de compacité de l’injection de Sobolev sur le groupe de Heisenberg. Bull. Belg. Math. Soc. Simon Stevin , 15:599–624, 2008.
- 5[5] J. Bergh and J. Löfström. Interpolation spaces - an introduction . Springer-Verlag Berlin Heidelberg, 1976.
- 6[6] T. P. Branson, L. Fontana, and C. Morpurgo. Moser-Trudinger and Beckner-Onofri’s inequalities on the CR sphere. Annals of Mathematics , 177(1):1–52, 2013.
- 7[7] N. Burq, P. Gérard, and N. Tzvetkov. Bilinear eigenfunction estimates and the nonlinear Schrödinger equation on surfaces. Inventiones mathematicae , 159(1):187–223, 2005.
- 8[8] D. Békollé, A. Bonami, G. Garrigós, C. Nana, M. Peloso, and F. Ricci. Lecture Notes on Bergman projectors in tube domains over cones : an analytic and geometric viewpoint. IMHOTEP: African Journal of Pure and Applied Mathematics , 5(0), 2012.
