Equivariant Schr\"odinger maps from two dimensional hyperbolic space
Jiaxi Huang, Youde Wang, Lifeng Zhao

TL;DR
This paper studies the existence and global behavior of equivariant Schr"odinger maps from two-dimensional hyperbolic space to the sphere, establishing local existence for energies below 4π and global solutions for sufficiently small energies.
Contribution
It proves local existence for Schr"odinger maps with energy less than 4π and global existence for small initial data in hyperbolic space, extending previous results to this setting.
Findings
Local existence for energy < 4π
Global solutions for sufficiently small energy
Convergence to the north pole at origin and infinity
Abstract
In this article, we consider the equivariant Schr\"odinger map from to which converges to the north pole of at the origin and spatial infinity of the hyperbolic space. If the energy of the data is less than , we show that the local existence of Schr\"odinger map. Furthermore, if the energy of the data sufficiently small, we prove the solutions are global in time.
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Taxonomy
TopicsAdvanced Mathematical Physics Problems · Nonlinear Waves and Solitons · Spectral Theory in Mathematical Physics
Equivariant Schrödinger maps from two dimensional hyperbolic space
Jiaxi Huang, Youde Wang, Lifeng Zhao
Abstract.
In this article, we consider the equivariant Schrödinger map from to which converges to the north pole of at the origin and spatial infinity of the hyperbolic space. If the energy of the data is less than , we show that the local existence of Schrödinger map. Furthermore, if the energy of the data sufficiently small, we prove the solutions are global in time.
Contents
1. Introduction
In this article, we consider the Schrödinger map equation
[TABLE]
where , is the tension field of and is complex structure on . The equation admits the conserved energy
[TABLE]
where is the volume form of .
The Schrödinger maps from Euclidean spaces have been intensely studied in the last decades. The local well-posedness of Schrödinger maps was established by Sulem, Sulem and Bardos [29] for target, Ding and Wang [9, 10] and McGahagan [25] for general Kähler manifolds. Ionescu and Kenig [14] obtained the global well-posedness of maps into with small data in the critical Besov spaces , for . The global well-posedness for maps , with small critical Sobolev norms was obtained by Bejenaru, Ionescu, Kenig and Tataru [3]. However, the Schrödinger map equation with large data is a much more dufficult problem. When the target is , there exists a collection of families (see [6]) of finite energy stationary solutions for integer ; When the target is , there is not nontrival equivariant stationary solution with finite energy. Hence, Bejenaru, Ionescu, Kenig and Tataru [4, 5] proved the global well-posedness and scattering for equivariant Schrödinger maps with energy blow the ground state and equivariant Schrödinger maps with finite energy. When the energy of maps is larger than that of ground state, the dynamic behaviors are complicated. The asymptotic stability and blow-up for Schrödinger maps have been considered by many authors for instance [11, 12, 13, 6, 26, 27]. We refer to [16] for more open problems in this field.
The above results are restricted on flat domains, naturally, we can consider geomertic flow on curved manifolds. Because the hyperbolic spaces are symmetric and noncompact, geometric flows from hyperbolic spaces are natural starting points. The heat flow between hyperbolic spaces is an interesting model because it is related to the Schoen-Li-Wang conjecture (see Lemm, Markovic [21]). For such heat flow, Li and Tam [22] obtained the sufficient conditions to ensure that the harmonic map between hyperbolic spaces can be solved by solving the heat flow. In recent years, there are many works concerning wave maps on hyperbolic spaces which are expected to have many similar phenomenon to Schrödinger maps. D’Ancona and Qidi Zhang [8] showed the global existence of equivariant wave maps from hyperbolic spaces for to general targets for small initial data in . The problem was also intensely studied by Lawrie, Oh, Shahshahani [17, 18, 19, 20] and Li, Ma, Zhao [23]. Since the wave maps or have a family of equivariant harmonic maps, [17] and [18] proved the stability of stationary -equivariant wave maps by analyzing spectral properties of the linearized operator. [19] continued to consider this problem and showed the soliton resolution for equivariant wave maps with initial data for by profile decomposition. For initial data without any symmetric assumption, Li, Ma and Zhao [23] proved that the small energy harmonic maps from to are asymptotically stable under the wave map recently. [20] established global well-posedness and scattering for wave maps from for into Riemannian manifolds of bounded geometry for small initial data in the critical Sobolev space. As a geometric flow, Schrödinger map is a special case of Landau-Lifshitz flow. Li and Zhao [24] proved that the solution of Landau-Lifshitz from to converges to some harmonic map as when the Gilbert coefficient is positive.
The Schrödinger maps on exhibits markedly different phenomena from its Euclidean counterpart. First, the most interesting feature is that there is an abundance of equivariant harmonic maps introduced by [17]. Precisely, when the target is , there is a family of equivariant harmonic maps with energy for ; When the target is , we also have a family of equivariant harmonic maps with energy for . Naturally, the dynamic behaviors of solutions with energy above the harmonic maps are of great interest. Second, the maps still exhibit features of mass critical equation, though it lacks scaling symmetry. Indeed, in the Coulomb gauge, the Schrödinger map can be reduced to two coupled Schrödinger equations. If the support of initial data is contained in a open ball for small, then the solutions will not exhibit the global geometry of the domain and thus can be approximated by solutions to the corresponding scaling invariant mass critical Schrödinger equations . Third, the notable feature of the problem is the better dispersive estimates of the operator than the Euclidean counterpart. The stronger dispersion are possible due to the more robust geometry at infinity of noncompact symmetric spaces compared to Euclidean spaces. The above features make (1.1) an interesting model for investigating the well-posedness for large data and the stability of stationary solutions.
In this paper, we establish the local well-posedness for large data and global well-posedness for small initial data.
To explain the main results in more detail, we give a more precise account. As both the domain and the target are rotationally symmetric, the map is called -equivariant, if satisfies for all rotations . Since is a map here, in the polar coordinates, is -equivariant if and only if can be written as
[TABLE]
Here is the generator of horizontal rotations, which is defined as
[TABLE]
where . We denote and . The energy of -equivariant maps can be expressed as
[TABLE]
If , then implies that . Due to the exponential decay of , we assume that , which gives for by . The equivariant Schrödinger map (1.1) admits solitons, which are equivariant harmonic maps such that . In contrast to the Schödinger maps from Euclidean spaces, the Schrödinger maps on admit harmonic maps with any energy for target and for target. In fact, for with endpoint for , there exists equivariant stationary solution to (1.1)
[TABLE]
with energy . For with endpoint for , there exists equivariant stationary solution to (1.1)
[TABLE]
with energy .
This leads us to consider the equivariant Schrödinger maps in the classes
[TABLE]
but the case is difficult, we will not consider here. Let be a smooth map. The Sobolev norm are defined by
[TABLE]
The main results are the following.
Theorem 1.1**.**
If , then there exists , such that (1.1) has a unique solution in .
Theorem 1.2**.**
If is a 1-equivariant map satisfying and , then there exists , such that (1.1) has a unique solution in the class defined as the unique limit of smooth solution in . In particular, there exists such that , then for any compact interval , there exists a unique solution .
Remark 1.2. In Theorem 1.2, we restrict the map in the class for initial data . To obtain the existence of solutions in , we need to prove the Lipschitz continuity of with respect to . If the map for , then the third component of does not convergence to as , thus the argument of Lipschitz continuity fails. Therefore, we need to restrict in .
Remark 1.3. In Theorem 1.2, scattering for small data is not expected generally. Represented in the Coulomb gauge, (1.1) can be reduced to the coupled mass-critical Schrödinger equations with potentials, i.e -system. However, the Schrödinger operator admits discrete spectrum in one equation of the system which is in sharp contrast with the Schrödinger map from . In fact, we show that the -bound for depends on the compact interval , which leads to the -bound for depends on interval .
Theorem 1.1 and 1.2 is of similar flavor to the result of [25, 4] in the flat domain . The first step is to prove the local existence for Schrödinger map with data by approximation of wave maps (see [25]). The second step is to show the existence for equivariant Schrödinger map with data . Since we restrict ourselves to the class of equivariant Schrödinger maps, the symmetry allow us to use Coulomb gauge. The Coulomb gauge condition impose some restriction on the connection form , which allow us to choose the particular solution . Using the Coulomb gauge as our choice of frame on , we can rewrite the equations for and which lead to a -system of mass-critical Schrödinger equations with potentials. Then it suffices to consider the Cauchy problem of the -system. In order to establish the well-posedness for data in the space , we prove the Strichartz estimates for Schrödinger operator with such potentials. In fact, we can get the dispersive estimates for with more general potentials and for . Since our interest lies in the solutions which correspond to the geometric flow, we show that the solutions of the system satisfy the compatibility condition. To construct the Schrödinger map from , the key observation is that or contain all the information of the map as in [4]. Hence, we can recover the map from for initial data . Furthermore by the result in Theorem 1.1, we show that the map is a Schrödinger map for data in . At the same time, we obtain the Lipschitz continuity of with respect to in , which gives Theorem 1.2.
There are two main obstacles in the above arguments. One is the a priori higher order energy estimates for approximate wave map equations, which guarantees the uniform lifespan for approximate solutions. In order to simplify the computation, the global system of coordinates related to the Iwasawa decomposition is used. Meanwhile the uniformly estimates follows from a bootstrap argument. The other obstacle lies in the establishment of the well-posedness for the coupled Schrödinger system with potentials. Indeed, the system is composed of two coupled mass-critical Schrödinger equations with potentials. One of the equations admits Schrödinger operator with positive potential, which has only purely absolutely continuous spectrum . The dispersive estimate for has been provided by [7]. So we only need to establish the similar estimate for , namely
[TABLE]
for nonnegative potential , . We make use of the kernel of resolvent introduced by [2] frequently. By Birman-Schwinger type resolvent expansion, the resolvent can be expressed as a series with respect to and , then the Schrödinger propagator in (1.2) can be written as a series. Since the dominant terms only depend on and , we will use the pointwise bounds for free resolvent kernel and the Lemma 5.6. For the remainder term, we use the meromorphic continuity of resolvent in Lemma 5.5. The other equation admits Schrödinger operator with negative potential which has at least a discrete spectrum [math] even though it is extremely difficult to describe. Since we are dealing with the small data problem, the potential can be regarded as a perturbation term of the nonlinearity here.
The rest of the paper is organized as follows: In Section 2 we recall the hyperbolic spaces, function spaces, basic inequalities and the Fourier transformation. In Section 3 we use the approximating scheme to prove local well-posedness for Schrödinger map (1.1) in , i.e Theorem 1.1. In Sections 4 we introduce the Coulomb gauge, in which the Schrödinger map can be written as two coupled Schrödinger equations, i.e -system. Conversely, if we have , we can reconstruct the Schrödinger map . In Sections 5 we provide the Strichartz estimates for operator , then we get the well-posedness of -system for data . Finally,we finish the proof of Theorem 1.2.
2. Preliminaries
In this section we review the geometry of hyperbolic space and the Fourier transformation.
2.1. Hyperbolic spaces
We consider the Minkowski space for with the Minkowski metric , and we can define the bilinear form on ,
[TABLE]
Then hyperbolic space is defined as
[TABLE]
and the Riemannian metric on is induced by the Minkowski metric on . We take the point as the origin in .
We define as the connected Lie group of matrices that leave the bilinear form invariant. We have if and only if
[TABLE]
where is the diagonal matrix . Let denote the subgroup of that fix the origin 0. Indeed, is a compact subgroup of rotations acting on the variables . We can thus identify with the symmetric space . For every we can define the map
[TABLE]
A function is called -invariant or radial, if for all and for all we have
[TABLE]
Then we have the Cartan decomposition of , namely
[TABLE]
where
[TABLE]
We introduce two convenient global systems of coordinates on . One of the systems is geodesic polar coordinates:
[TABLE]
For , can be written explicitly as
[TABLE]
in these coordinates, the hyperbolic metric is given by , the volume element on is given by and the Laplace-Beltrami operator is given by
[TABLE]
The other global system of coordinates is defined as follows [15]:
[TABLE]
using these coordinates we have the induced metric
[TABLE]
If we fix the global orthonormal frame
[TABLE]
we compute the commutators
[TABLE]
and the covariant derivatives
[TABLE]
2.2. Function spaces and basic inequalities
Here we define some relevant function spaces on and recall some basic inequalities. For smooth function , the -norm for are defined by
[TABLE]
Also we can define the Sobolev norm of , namely
[TABLE]
where is the -th covariant derivative of . By [20], we have
[TABLE]
and
[TABLE]
We will often use these equivalent definitions.
As a -valued function, we can define the extrinsic Sobolev spaces . We say that has finite -norm with respect to if
[TABLE]
Denote
[TABLE]
In the polar coordinate (2.1), the equivariant maps are easily reduced to maps of a single variable . For smooth radial function , we define a natural space by
[TABLE]
then for such , we have Sobolev embedding
[TABLE]
We now recall the Sobolev inequalities (see [24], [20]).
Lemma 2.1**.**
Let , then for , , , , , the following inequalities hold:
[TABLE]
We also recall the diamagnetic inequality (see [24], [20]).
Lemma 2.2**.**
If is some -type tension or tension matrix defined on , then in the distribution sense, one has
[TABLE]
Lemma 2.3**.**
Let be smooth map with , then
[TABLE]
in the sense that there exist polynomials and such that
[TABLE]
Proof.
In order to prove (2.13), we use the polar coordinates (2.1). For , we have
[TABLE]
hence, . Conversely, by (2.6), we obtain
[TABLE]
For , we have
[TABLE]
and
[TABLE]
Therefore, immediately. Conversely, implies
[TABLE]
then, by (2.7) and (2.11), we have
[TABLE]
For , we have
[TABLE]
and
[TABLE]
By (2.14), we have
[TABLE]
Then
[TABLE]
Conversely, by (2.7) and (2.11), we have
[TABLE]
Therefore, (2.13) are obtained. ∎
Finally, we state the following estimates, which are often used for radial functions and obtained by Schur’s test easily.
Lemma 2.4**.**
Let be radial function, we have
[TABLE]
2.3. Fourier transformation
For and a real number, the functions of the type
[TABLE]
are generalized eigenfunctions of the Laplacian-Beltrami operator. Indeed, we have
[TABLE]
Then we can define the Fourier transformation analogous to the Euclidean case. For ,
[TABLE]
and one has the Fourier inversion formula for function on
[TABLE]
where is the Harish-Chandra coefficient,
[TABLE]
For the linear Schrodinger equation on ,
[TABLE]
the solution can be written explicitly see [2] as
[TABLE]
where the kernel is, for and odd
[TABLE]
and for even,
[TABLE]
In particular, ,
[TABLE]
3. Local well-posedness for Schrödinger maps
In order to prove the local well-posedness in , we apply the approximating Scheme introduced by McGahagan [25]. For any , we introduce the wave map model equation:
[TABLE]
where and . In this section we use the global coordinates (2.2), denote for . For simplicity, denote .
Before proving the Theorem 1.1, we need the following lemma.
Lemma 3.1**.**
For , there exists a constant independent of , such that for any , , a solution of the approximate equation, and any , the following estimate holds for :
[TABLE]
for some , depending only on the size of the solution and on the size of the initial data .
Proof.
For , we take the inner product of the above wave map equation with , the first term will disappear by orthogonality, we get
[TABLE]
In the system of coordinate, can be written as , then commute and , by integration by parts, the second term of (3.3) becomes
[TABLE]
If we integrate in time,by Hölder inequality we find that (3.2) becomes
[TABLE]
then
[TABLE]
Therefore, by Gronwall inequality, choose such that small, we have
[TABLE]
For , we take on the approximate equation (LABEL:approximate_equation):
[TABLE]
then we take the inner product of the above equation with and commute and , we have
[TABLE]
Denote
[TABLE]
Then can be rewritten as
[TABLE]
by the representation of and , becomes
[TABLE]
for , by integration by parts, we have
[TABLE]
Hence,
[TABLE]
Then (3.5) can be written as
[TABLE]
Integrating in time, by Hölder inequality, it gives
[TABLE]
then
[TABLE]
From (3.6), Hölder inequality and Lemma 2.1, we have
[TABLE]
By (3.4),
[TABLE]
By Gronwall inequality, we get
[TABLE]
∎
Proof of Theorem 1.1.
We choose data such that and . Without any restriction we make the bootstrap assumption
[TABLE]
Define the energy functional by
[TABLE]
then by (LABEL:approximate_equation), we have . Define the second order energy functional by
[TABLE]
by (LABEL:approximate_equation) we have
[TABLE]
by integration by parts and , the second term of (3.8) becomes
[TABLE]
furthermore, the last term of (3.9) becomes
[TABLE]
Hence, by (2.9) and Hölder inequality we have
[TABLE]
Define the third order energy functional by
[TABLE]
By integration by parts gives
[TABLE]
By (2.7) and Hölder inequality, we have
[TABLE]
Similarly, we have
[TABLE]
Hence,
[TABLE]
Since we have by integration by parts
[TABLE]
then by (2.7) we obtain
[TABLE]
Thus, integrating (3.12) in time and taking the supremum over , we have
[TABLE]
Choosing small such that from (3.14) we have
[TABLE]
If , (3.15) implies
[TABLE]
If , from (3.14) we obtain
[TABLE]
Hence, by the bootstrap assumption (3.7), there exists small such that
[TABLE]
Therefore, by (3.13) we have
[TABLE]
for some fixed depending only on the size of data .
∎
4. The Coulomb gauge representation of the equation
In this section, we rewrite the equivariant Schrödinger map in the Coulomb gauge, then obtain the -system of coupled Schrödinger equations. Conversely, we can recover the map from or at fixed time.
We choose such that and define . Thus
[TABLE]
Since is 1-equivariant it is natural to work with 1-equivariant frame, that is
[TABLE]
where , are unit symmetric vectors in . On one hand in such a frame we obtain the differentiated fields and the connection coefficients , by
[TABLE]
On the other hand, given and we can return to the frame via the ODE system:
[TABLE]
If we introduce the covariant differentiation
[TABLE]
then the compatibility conditions are imposed
[TABLE]
Moreover, the curvature of this connection is given by
[TABLE]
An important geometric feature is that , are closely related to the original map. Precisely, for we have
[TABLE]
and
[TABLE]
Hence we obtain , and the following important conservation law
[TABLE]
We now turn to choose the orthonormal frame on . For the equivariant Schrödinger map, we use the Coulomb gauge , namely, in the polar coordinate, . Since is radial, we can choose , i.e
[TABLE]
which can be represented as ODE
[TABLE]
Then for matrix , we have
[TABLE]
where is an antisymmetric matrix.
The ODE (4.7) need to be initialized at some point. To avoid introducing a constant time-dependent potential into the equation via , we need to choose this initialization uniformly with respect to . Since we restrict the data for any t, we can fix the choice of and at infinity,
[TABLE]
The existence and uniqueness of (4.7) satisfying (4.8) is standard. Indeed, for , using the Picard iteration scheme
[TABLE]
By Hölder inequality, we have
[TABLE]
and
[TABLE]
we choose large enough such that , we have . Hence, there exists unique solution . Then by , in a similar argument, for any ,there exists sufficiently small, such that for , the solution can be extended to . Finally, we extend the solution to . The first two components of can be estimated immediately
[TABLE]
for the third component of , by integration by parts and as , we have
[TABLE]
and
[TABLE]
we choose small such that , then the iteration scheme gives the unique solution in with . Therefore, by the above procedure, there exists a unique solution of (4.7) satisfying (4.8), moreover, we have
[TABLE]
4.1. The Schrödinger maps system in the Coulomb gauge: dynamic equations for
We derive the Schrödinger equations for the differentiated fields and .
In the geodesic polar coordinate, the Schrödinger map flow can be written as
[TABLE]
Applying the operators and to both sides of this equation, we obtain
[TABLE]
By the compatibility condition (4.5), curvature of the connection (4.6) and the Coulomb gauge , we can derive the equations for and ,
[TABLE]
where . Then (4.12) can be written as
[TABLE]
where and can be expressed in terms of and . In fact, from the curvature (4.6) for and compatibility condition (4.5), we have
[TABLE]
Since , (4.14) gives
[TABLE]
From (4.6) when and (4.10), we have
[TABLE]
which together with initial data of frame, yields
[TABLE]
Therefore the two variables and are not independent.
Since the linear part of this system is not decoupled, we introduce the two new variables and , defined as
[TABLE]
From (4.13) and , we obtain
[TABLE]
It turns out that the linear part of -system is decoupled. The compatibility condition (4.5) is reduced to
[TABLE]
and the coefficients and can be expressed in terms of ,
[TABLE]
Define as the vector
[TABLE]
then is the representation of in the coordinate frame and the energy of has a new representation, i.e
[TABLE]
Hence, is conserved for all time. Moreover, if we assume that and , we obtain the Lipschitz continuity of with , namely
[TABLE]
In fact, by the above assumptions, (4.20) implies . On interval , by (4.7), we have
[TABLE]
then (4.9) and imply
[TABLE]
choose large enough, we have . Then for any small, on interval , there exists such that any interval with , we have . By a similar argument to that on , we obtain . Finally, on interval , by Sobolev embedding (2.5), we have
[TABLE]
then we get
[TABLE]
which implies by integration by parts
[TABLE]
which together with , yields . Therefore, we obtain
[TABLE]
Then by (4.24), (4.22) and Sobolev embedding (2.5), the Lipschitz continuity (4.23) follows.
In this paper we will work with the key system (4.18) to obtain the space-time estimates for .
Suppose satisfies the compatibility condition (4.19) and , define , , by (4.20) and (4.17), then they satisfy the relation (4.14). Furthermore, we claim that and . In fact, by (4.20) and (4.17), we have , , from (4.17), (4.14) and (2.16), we get , and .
Denote and . Then we have
Proposition 4.1**.**
[TABLE]
Proof.
If , we easily obtain . If , by the equivariance condition, we have
[TABLE]
Since , then , which gives
[TABLE]
by the representation of (4.22), we have
[TABLE]
denote , then
[TABLE]
For , since \big{|}\frac{u_{3}-1}{\sinh r}\big{|}\lesssim\frac{u_{1}^{2}+u_{2}^{2}}{\sinh r}\in L^{1}(dr), applying to both sides of (4.29), by , we have . Since and are radial, we obtain , which gives by (2.7). Hence, by (4.29) and \big{|}\frac{u_{3}-1}{\sinh r}\big{|}\lesssim\frac{|u_{1}|+|u_{2}|}{\sinh r}\in L^{4}, we have . It also follows that .
In order to prove , we rewrite
[TABLE]
by \big{|}\frac{1-u_{3}}{\sinh^{2}r}\big{|}\lesssim\frac{u_{1}^{2}+u_{2}^{2}}{\sinh^{2}r}\in L^{2} and (4.26), we have .
Conversely, if , (2.7) implies . Then by \big{|}\frac{u_{3}-1}{\sinh r}\big{|}\lesssim\frac{|\psi_{2}|}{\sinh r}\in L^{4} and (4.29), we have , namely, . The part of in the normal space is -|\psi_{1}|^{2}\pm\big{|}\frac{\psi_{2}}{\sinh r}\big{|}\in L^{2} by . Therefore, (4.26) is obtained.
If , by (2.4) and Lemma 2.3, we obtain for , then by equivariance condition, we get
[TABLE]
and
[TABLE]
In order to prove , it suffices to prove
[TABLE]
By (4.29), we have
[TABLE]
Since , (2.7) implies , then by and (4.15), the third term of (4.33) and (4.34) are in . From (4.30), we also have . Hence, , which further gives , this implies . Since , we obtain , therefore, we also get .
Next, we estimate this term
[TABLE]
By (4.31), the first two components of are in . For the third component, which can be written as
[TABLE]
By (4.26) and (4.30), we have . Hence, the right hand side of (4.36) is in . By a similar argument, the third term in (4.35) is also in . Thus, .
For , we need to estimate
[TABLE]
By (4.26) and (4.31), the first two components of (4.37) are in , namely for
[TABLE]
For the third component, since , it suffices to estimate
[TABLE]
By (4.26) and , we get . By (2.5) and (2.9), we have and , then . Therefore, (4.37) are in . The other terms are also easily obtained by Sobolev embedding and . Thus, is obtained.
∎
4.2. Recovering the map from
Here we will keep track of , since it contains all the information about the map. Indeed, by (4.14), we have the system of
[TABLE]
Then from the choice of (4.8), it gives the data . Given with , we reconstruct by above system (4.38), then by the system in (4.4) with condition (4.8), we can return to the map .
Lemma 4.2**.**
Let , such that , the system (4.38) has a unique solution satisfying , and
[TABLE]
*Moreover, we have the following properties:
(i) If , with , then and*
[TABLE]
(ii) Given , and such that , then we have
[TABLE]
(iii) If is another solution to (4.38) corresponding to , then
[TABLE]
(iv) If , then for .
Proof.
We consider the ODE system (4.38) with boundary condition
[TABLE]
The system and boundary condition imply . We define , , then we get from (4.38). Since which yields by integration from infinity
[TABLE]
Thus we have .
To prove existence, by choosing large enough such that . We want to seek with the property that . This implies that , then we have . By the relation , we get . Now we only need to consider the -equation in
[TABLE]
Rewrite the equation as
[TABLE]
then
[TABLE]
Multiply by on both sides, we have
[TABLE]
Integrating from infinity we obtain
[TABLE]
Define the map by
[TABLE]
Now it suffices to show that is a contraction map in . Indeed, the estimate (2.19) and Sobolev embedding lead to
[TABLE]
And the map is Lipschitz with a small Lipschitz constant,
[TABLE]
Therefore there exists a unique solution .
Next we extend the solution to . Consider the equation with data . By Duhamel formula, it suffices to consider the map
[TABLE]
and the space
[TABLE]
Since is bounded, there exists such that
[TABLE]
By (2.19), we obtain that
[TABLE]
Meanwhile we have
[TABLE]
Therefore is a contraction map in . Since the lifespan interval only depends on and , we can extend the solution to . Thus the existence of in follows, and the is obtained by .
Next we obtain the bound for (4.39). Let , then the system gives
[TABLE]
or equivalently
[TABLE]
which implies
[TABLE]
namely,
[TABLE]
therefore
[TABLE]
Since , we get
[TABLE]
By (2.19) and , (4.43) gives . The bounds for and follow directly from (4.38). The bounds for and are obtained by the compatibility relation .
Now we prove the additional properties (i)-(iv). First, we have the bound for (4.40). If , by (2.19) and (4.43), we obtain , then the -bound for and are obtained immediately by the definition of and .
Second, we obtain (4.41). By (4.38) and , we have
[TABLE]
It suffices to get the -bound for . From (4.43), we have
[TABLE]
For the first term we use (2.19) and the smallness of . For the second term, by Hölder inequality, we have
[TABLE]
Then by (2.19), we easily obtain
[TABLE]
Thus the -bound follows.
Third, we get the Lipschitz continuity (4.42). For notational convenience we denote
[TABLE]
Without any restriction in generality, we can make the assumption and the bootstrap assumption
[TABLE]
By (4.38) and , we derive the equations
[TABLE]
Since and is a high order term, and can be regarded as error terms. Let , we have
[TABLE]
where ,
[TABLE]
From (4.40) we obtain the -norm of is bounded. Then we decompose for small . By the -bound for , we have , which gives in . We also easily obtain by Hölder inequality. Then we can construct the bounded matrix such that . Hence (4.44) can be written as
[TABLE]
then
[TABLE]
By the above expression of and (2.19), we have
[TABLE]
and
[TABLE]
where . Hence, and . Furthermore, by (4.44) we have .
Finally we prove (iv). If , by (4.38), we have
[TABLE]
then by (4.39), (4.40) and Gagliardo-Nirenberg inequality, we obtain
[TABLE]
If , by (4.38) and , we have
[TABLE]
by Sobolev embedding , we get . Similarly, . Hence, . ∎
Proposition 4.3**.**
Given with , then there is a unique map with the property that is the representation of relative to a Coulomb gauge satisfying (4.22) with . Moreover, the map is Lipschitz continuous in the following sense:
[TABLE]
Proof.
Given , by Lemma 4.2, there is a unique solution . Let . Now we solve the system of , that is
[TABLE]
Since , can be rewritten as , where
[TABLE]
and by (4.39), . If we restrict and on for sufficiently large , we can assume . This allow us to construct solutions with data at by using the iteration scheme
[TABLE]
Let . We run the iteration scheme in . For , we have
[TABLE]
from which we obtain
[TABLE]
Therefore,
[TABLE]
Then by choosing large enough, we can use the iteration scheme to construct a solution on .
The uniqueness of (4.45) is obtained by conservation law, that is, apply to both side of (4.45), we have .
Since by (4.45), we have , which together with yields . Similarly, we also have and . Thus satisfies the orthonormality condition.
Next, the solution constructed above can be extended to . Since , then for any , there exists such that . Define , denote , we have
[TABLE]
and
[TABLE]
By (4.46), we have , therefore,
[TABLE]
By choosing small such that is small, then we can still rely on iteration scheme to extend the solution to .
On the interval , by (4.41), we have . By a similar argument to that on , we extend the solution to . As a byproduct,
[TABLE]
From the system (4.45), we know that and solve the system
[TABLE]
with boundary condition . By uniqueness, , .
Next, we construct the system of by equivariant setup, that is, apply by . From and the orthonormality condition, (4.4) is satisfied for .
Given , we construct and as above. From the construction it follows that
[TABLE]
which implies . Since , , , , by (4.47), we have
[TABLE]
A similar argument shows that . Therefore, . ∎
5. The Cauchy problem
In this section we concerned with the -system which we recall here
[TABLE]
with initial data . Where , , are given by (4.21), (4.20), (4.17). Since the system (5.1) arised from the Schrödinger map (1.1), we will show that satisfy the compatibility condition.
For simplicity of notations, we denote . Since our analysis relies on -norm, we define the norm of by . Finally, we denote the nonlinearities by
[TABLE]
5.1. Srichartz estimates
To understand the well-posedness of (5.1), we need to obtain the Strichartz estimates. The -equation in (5.1) is a nonlinear Schrödinger equation with positive and exponential decay potential. More generally, we consider the Schrödinger equation
[TABLE]
where for is a positive potential. In this section we always denote potential as (5.2). For simplicity, we denote for . is called admissible pair, if
[TABLE]
Then we obtain the following Strichartz estimates.
Theorem 5.1**.**
*Let be admissible pairs, be open interval.
(i) If , then*
[TABLE]
(ii) If , then
[TABLE]
Based on a standard theory, the above results are obtained by the following dispersive estimates immediately.
Proposition 5.2**.**
Assume , is a positive potential, then we have
[TABLE]
By standard convention the resolvent of Laplacian on is written as with corresponding to the resolvent set . The kernel of is
[TABLE]
where is Legendre function, . With the hyperbolic convention for spectral parameter, Stone’s formula gives the continuous part of the spectral resolution as
[TABLE]
Then we use the spectral resolution to write
[TABLE]
Similarly, from [7], the resolvent of for potential defined as above is given by and the continuous component of spectral resolution is given by
[TABLE]
then the kernel of Schrödinger propagator can be written as
[TABLE]
By Birman-Schwinger type resolvent expansion for all frequencies:
[TABLE]
we get
[TABLE]
Before proving Proposition 5.2, we recall the pointwise bounds on the resolvent kernel from [7]. This bounds will be crucial for the dispersive estimates.
Lemma 5.3**.**
For the free resolvent kernel the pointwise bounds are valid for and
[TABLE]
[TABLE]
where .
Lemma 5.4**.**
For the free resolvent kernel the pointweise bounds are valid for , and
[TABLE]
[TABLE]
where .
We also recall the meromorphic continuation from [7].
Lemma 5.5**.**
For with , the resolvent admits a meromorphic continuation to the half-plane as a bounded operator
[TABLE]
for . And there exists a constant such that for all with ,
[TABLE]
If the has no pole at , we can extend the estimate through to give
[TABLE]
In order to prove Proposition 5.2, we also need the following lemma.
Lemma 5.6**.**
[TABLE]
Proof.
The proof roughly follows the approach in [2]. Before proving the lemma, we recall two useful estimates, that is,
[TABLE]
and
[TABLE]
Case 1: .
Let , then
[TABLE]
Denote , then (5.15) can be written as
[TABLE]
Since , (5.16) can be split into
[TABLE]
For , by (5.14) and we have
[TABLE]
For , Let
[TABLE]
By integrating by parts in , we get
[TABLE]
Notice that and by (5.18), hence,
[TABLE]
That is and are bounded. Therefore (5.12) follows (5.17) in the region .
Case 2: .
Let us split the left hand side of (5.12) into three parts:
[TABLE]
For , we assume , otherwise immediately, then
[TABLE]
Since we are in the case , we get that
[TABLE]
For , by (5.13) we have
[TABLE]
For , let , we get that
[TABLE]
Then can be written as
[TABLE]
where and . By integration by parts, we get
[TABLE]
Since the derivative of is negative, we obtain
[TABLE]
Therefore, we have
[TABLE]
in the region . ∎
Proof of Proposition 5.2.
The estimate for in (5.3) has been proved in [7], we only prove the case here. In order to estimate , it suffices to bound (5.5)-(5.7) respectively. (5.5) is indeed , which can be estimated in [1]. To estimate (5.6), we rewrite it by (5.4) as
[TABLE]
By Lemma 5.6, since for and we get
[TABLE]
It suffices to estimate the three integrals the right hand side. By (16) of [1], for we have
[TABLE]
For the second integral, we make the change of variables ,
[TABLE]
If ,
[TABLE]
If , by (5.24) we have
[TABLE]
The third integral can be estimated similar to the second one. If ,
[TABLE]
If ,
[TABLE]
In conclusion, we obtained
[TABLE]
Therefore,
[TABLE]
Finally, we estimate the (5.7). By duality, it suffices to prove for ,
[TABLE]
write
[TABLE]
Then by integration by parts and Lemma 5.6, we have
[TABLE]
By Lemma 5.3 and Lemma 5.4, Young’s inequality and Holder’s inequality, we have
[TABLE]
Similarly, we have
[TABLE]
Therefore,
[TABLE]
Thus Proposition 5.2 follows. ∎
5.2. The Cauchy theory
Here we consider the Cauchy problem for (5.1). The local well-posedness of (5.1) is directly by Strichartz estimates in Theorem 5.1. Then for small initial data, since the operator has discrete spectrum, we use perturbation method (see [30]) to prove global well-posedness.
Theorem 5.7**.**
*Consider the problem (5.1) with data , where , , are given by (4.21), (4.20), (4.17). Then there exists a unique maximal-lifespan solution pair with and with the following additional properties:
(i) If , then there exists , and a unique solution of the system in the time interval with .
(ii) If , , is a solution to (5.1) with , then can be extended to a solution on a larger time interval.
(iii) There exists such that , then for any compact interval , (5.1) has a unique global solution , moreover, .
(iv) For every , and , there is such that if is a solution satisfying and , then there exists a solution such that , and , .
(v) Assume that , for . If , then the solution satisfies*
[TABLE]
and it has Lipschitz dependence with respect to the initial data.
Proof.
(i) Consider the system (4.18) in the space
[TABLE]
Given the formulas for , and by (4.21), (4.20), (4.17), using Lemma 2.4, we obtain
[TABLE]
In a similar argument, we also obtain that
[TABLE]
Denote , then by Duhamel formula, define the maps
[TABLE]
For any , there exists , such that , and there exists , s.t , then dispersive estimates and (5.28) imply
[TABLE]
Similarly, we have
[TABLE]
Since independent on t, there exists , such that , hence . We can also show that . Indeed, by Strichartz estimates, we have
[TABLE]
and
[TABLE]
Therefore, for any .
Then we need to show is a contraction map. By (5.29), we get
[TABLE]
and
[TABLE]
In conclusion, is a contraction map in , by the fixed point theorem, there exists a unique solution in for small depending only on and .
(iii) Let be an approximate solution to system (5.1) in the sense that
[TABLE]
Based on standard fixed point argument, by the Strichartz estimates for Schrödinger operators and , there exists such that if , then (5.31) has a unique global solution , moreover, .
Now we show using a perturbative argument that (5.1) is global well-posed for . First we show that for sufficiently small depending only on , and , the solution to (5.1) on satisfies an a priori estimate
[TABLE]
Fix a small parameter , since , there exists for , such that
[TABLE]
Further, by Duhamel formula, Strichartz estimates and , we have
[TABLE]
and
[TABLE]
Since satisfies (5.1) and , apply the Duhamel formula, (5.33) and (5.34) to obtain
[TABLE]
and
[TABLE]
Choose sufficiently small such that , which yields
[TABLE]
Combining (5.35) and (5.36), we have
[TABLE]
Then by continuity argument, we get
[TABLE]
which, together with Strichartz estimates gives
[TABLE]
Therefore (5.32) is obtained.
Then from the system (5.1), we have energy conservation . Since the depends only on and , by (ii) and energy conservation, it will follow that is a global solution with for any compact interval .
(v)Applying for to both sides of system (5.1), we obtain
[TABLE]
The nonlinearities can be written as
[TABLE]
Let be a bump function with , \varphi\big{|}_{B_{1}(0)}=1 and \varphi\big{|}_{B_{2}^{c}(0)}=0, can be rewritten as
[TABLE]
Since , Strichartz estimates imply . Then we split the interval into such that , , and . By Duhamel’s formula and Strichartz estimates, we have
[TABLE]
Now we estimate the second term of the right hand side of (5.39). Define
[TABLE]
For , from (2.10) we easily obtain
[TABLE]
Since the operator keeps the two dimensional frequency localization, one could use Littlewood-Paley decomposition to deal with . To estimate , we claim that for radial, the following estimate holds
[TABLE]
Then we have
[TABLE]
Hence, (5.39), (LABEL:s=1_easy_term) and (5.42) imply
[TABLE]
We repeat the above procedure for to obtain the similar estimate in . Thus, (5.27) valid for .
For , similarly, we also easily have
[TABLE]
Then for , which can be rewritten as
[TABLE]
[TABLE]
for , from (5.41) we obtain
[TABLE]
Thus, by (5.39), (5.44), (5.45) and (5.46) we have
[TABLE]
Hence, (5.27) follows for .
Finally, we prove (5.41). Denote and . Since is radial, we have
[TABLE]
Then for , we have
[TABLE]
which implies
[TABLE]
Hence, by Littlewood-Paley decomposition and (5.49) we have
[TABLE]
from (2.20) we obtain
[TABLE]
Thus, (5.41) follows. ∎
The above theorem is only concerned with the general solutions of (5.1). Since the system of is derived from the Schrödinger map (1.1), if we want to reconstructed the map by , the solution of (5.1) must satisfies the compatibility condition (4.19).
Theorem 5.8**.**
If satisfies the compatibility condition, then satisfies the compatibility condition for any . If, in addition, , then (4.5) and (4.6) are satisfied.
Proof.
Given , , . To prove the compatibility condition (4.19), it suffices to show that is preserved for . For this we need to derive the equation for
[TABLE]
Before deriving the equation for , we give some identities from (5.1). First, (4.20) gives
[TABLE]
Second, the system of (5.1) and (4.20) imply that
[TABLE]
where is given by (4.10) Third, (4.21) implies
[TABLE]
Finally, we obtain the following two equations from (5.1) by algebraic computation and ,
[TABLE]
Then combining the above two equations with (4.11), we have
[TABLE]
Apply the operator to , by (5.51)-(5.52), we have
[TABLE]
So we derive equation for F:
[TABLE]
namely
[TABLE]
If , we can write
[TABLE]
Due to the boundedness of and , we get .
If , we using and Sobolev embedding, yields by the representation
[TABLE]
Let for be the smoothing operator defined by the Fourier multiplier . Denote is the nonlinearity of (5.53). Applying to both sides of (5.53), we obtain
[TABLE]
Since , and , which implies
[TABLE]
and
[TABLE]
Hence, by integration by parts and (2.9), we get
[TABLE]
which further gives
[TABLE]
Then let , we obtain
[TABLE]
By using Gronwall inequality and , we get for all .
In general, if only, there exists such that . By Lemma 4.2, we obtain compatible pair and . By the above argument, the solutions with initial data satisfy compatibility condition. Then the compatibility condition for can be written as
[TABLE]
Hence, by Theorem 5.7 (iv), Lemma 2.4 and the expression of (4.20), we have
[TABLE]
which complete the proof of Theorem 5.8. ∎
Proof of Theorem 1.2.
First, we claim: Given , is the solution of (4.18), then the map constructed in Proposition 4.3 is a Schrödinger map. Indeed, by Proposition 4.3, we construct . Then by Theorem 1.1, there exists a unique solution with data . As in Section 4.1, we construct Coulomb gauge and its field component such that they satisfy (4.18) with initial data . The uniqueness of the solution of (4.18) implies are the gauge representation of . Therefore the map reconstructed in Proposition 4.3 is the Schrödinger map .
Next we begin to prove the Theorem 1.2. Given initial data , by Theorem 3.2 we obtain a unique local solution on for some . In particular, if in addition for sufficiently small , we can construct the fields on interval satisfying (4.18) and as in Section 4.1. By Theorem 5.7 (iii), the solution is defined on for any compact interval and with . Then by Theorem 5.7 (v) and Proposition 4.3, we construct a map coincide with the Schrödinger map on from , moreover, . Then repeat the procedure the map reconstructed from is in fact a Schrödinger map.
For initial data , there exists such that . By (4.23), we obtain the Lipschitz continuity of , i.e . Then from Theorem 5.7 (iv), the solution of (4.18) is Lipschitz continuous with respect to initial data, we have for any . From Proposition 4.3, we get for any . Hence, we obtain the desired result. ∎
Acknowledgments
The first author thanks Dr. Ze Li for helpful discussions.
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