Abstract

When the spatial dimensions , the initial data , and the Hamiltonian , we prove that the scattering operator is well defined in the whole energy space for nonlinear Schrödinger equation with exponential nonlinearity , where .

1. Introduction

We consider the Cauchy problem for the following nonlinear Schrödinger equation: in two spatial dimensions with initial data and . Solutions of the above problem satisfy the conservation of mass and Hamiltonian: where

Nakamura and Ozawa [1] showed the existence and uniqueness of the scattering operator of (1) with (2). Then, Wang [2] proved the smoothness of this scattering operator. However, both of these results are based on the assumption of small initial data . In this paper, we remove this assumption and show that for arbitrary initial data and , the scattering operator is always well defined.

Wang et al. [3] proved the energy scattering theory of (1) with , where and the spatial dimension . Ibrahim et al. [4] showed the existence and asymptotic completeness of the wave operators for (1) with when the spatial dimensions , , and . Under the same assumptions as [4], Colliander et al. [5] proved the global well-posedness of (1) with (2).

Theorem 1. Assume that , , and . Then problem (1) with (2) has a unique global solution in the class .

Remark 2. In fact, by the proof in [5], the global well-posedness of (1) with (2) is also true for .

In this paper, we further study the scattering of this problem. Note that . Nakanishi [6] proved the existence of the scattering operators in the whole energy space for (1) with when . Then, Killip et al. [7] and Dodson [8] proved the existence of the scattering operators in for (1) with . Inspired by these two works, we use the concentration compactness method, which was introduced by Kenig and Merle in [9], to prove the existence of the scattering operators for (1) with (2).

For convenience, we write (1) and (2) together; that is, where and . Our main result is as follows.

Theorem 3. Assume that the initial data , , and . Let be a global solution of (5). Then

In Section 2, Lemma 9 will show us that Theorem 3 implies the following scattering result.

Theorem 4. Assume that the initial data , , and . Then the solution of (5) is scattering in the energy space .

We will prove Theorem 3 by contradiction in Section 5. In Section 2, we give some nonlinear estimates. In Section 3, we prove the stability of solutions. In Section 4, we give a new profile decomposition for sequence which will be used to prove concentration compactness.

Now, we introduce some notations:

We define

For Banach space , , or , we denote

When , is abbreviated to  . When or is infinity or when the domain is replaced by , we make the usual modifications. Specially, we denote

For , we split , where

For any two Banach spaces and , . denotes positive constant. If depends upon some parameters, such as , we will indicate this with .

Remark 5. Note that in Theorem 3; we only need to prove the result for , . Hence, we always suppose that in the context.
Moreover, we always suppose that the initial data of (5) satisfies and .

2. Nonlinear Estimates

In order to estimate (2), we need the following Trudinger-type inequality.

Lemma 6 (see [10]). Let . Then for all satisfying , one has

Note that for for all ,

By Lemma 6 and Hölder inequality, for and for all , we have and thus

Lemma 7 (Strichartz estimates). For or , (the pairs were called admissible pairs) we have

Lemma 8 (see [3, Proposition 2.3]). Let be fixed indices. Then for any ,

As shown in [6, 11], to obtain the scattering result, it suffices to show that any finite energy solution has a finite global space-time norm. In fact, if Theorem 3 is true, we have the following theorem.

Lemma 9 (Theorem 3 implies Theorem 4). Let be a global solution of (5), , and . Then, for all admissible pairs, we have
Moreover, there exist such that

Proof. Defining , , by Strichartz estimates, (14) and (15),
Using the same way as in Bourgain [12], one can split into finitely many pairwise disjoint intervals:
By (21),
Since and can be chosen small arbitrarily, by interpolation, for all admissible pairs and . The desired result (19) follows.
Let
By (19) and (21),
Thus, were well defined and belong to . Since we must have (20) was proved.

3. Stability

Lemma 10 (stability). For any and , there exists with the following property: suppose that satisfies for all , and approximately solves (5) in the sense that
Then for any initial data satisfying and , there is a unique global solution to (5) satisfying .

Proof. Denote , then and . Let . By the similar estimates as (21), we have
Then we subdivide the time interval into finite subintervals , , such that for each . Let be small such that
Then by (31) on , we have and
Using the same analysis as above, we can get . Iterating this for , we obtain ; the desired result was obtained.

4. Linear Profile Decomposition

In this section, we will give the linear profile decomposition for Schrödinger equation in . First, we give some definitions and lemmas.

Definition 11 (symmetry group, [13]). For any phase , position , frequency , and scaling parameter , we define the unitary transformation by the formula
We let be the collection of such transformations; this is a group with identity , inverse , and group law
If is a function, we define , where by the formula or equivalently

If , we can easily prove that and .

Definition 12 (enlarged group, [13]). For any phase , position , frequency , scaling parameter , and time , we define the unitary transformation by the formula or in other words
Let be the collection of such transformations. We also let act on global space-time function by defining or equivalently

Lemma 13 (linear profiles for sequence, [14]). Let be a bounded sequence in . Then (after passing to a subsequence if necessary) there exists a family , of functions in and group elements for such that one has the decomposition for all ; here, is such that its linear evolution has asymptotically vanishing scattering size:
Moreover, for any ,
Furthermore, for any , one has the mass decoupling property For any , we have

Remark 14. If the orthogonal condition (45) holds, then (see [14])
Moreover, if , then (see [14, 15]), for any , If , then (see [16, Lemma 5.5])

Remark 15. As each linear profile in Lemma 13 is constructed in the sense that weakly in (see [14]), after passing to a subsequence in , rearrangement, translation, and refining accordingly, we may assume that the parameters satisfy the following properties:(i) as , or for all ;(ii) or as , or for all ;(iii) as , or with ;(iv)when , and , we can let .

Our main result in this section is the following lemma.

Lemma 16 (linear profiles for sequence). Let be a bounded sequence in . Then up to a subsequence, for any , there exists a sequence in and a sequence of group elements such that
Here, for each , and must satisfy is such that
Moreover, for any , one has the same orthogonal conditions as (45). For any , one has the following decoupling properties:

Proof. Let
Then, we have
By Lemma 13, after passing to a subsequence if necessary, we can obtain with the stated properties (i)–(iv) in Remark 15 and (43)–(47). Denote
Step 1. We prove that with and for each fixed , where
By (44) and , (64) holds obviously. For (62), we prove it by induction. For every , suppose that
Case 1. If , we have .
In fact, by (66),
Thus,
Using (47),
By direct calculation,
Let . When , When , When , When ,
By (68)–(74), and thus .
Case 2. If , we can prove
By absorbing the error into , we can suppose . Since for each fixed , we must have .
Now, we begin to prove (75). Let be the characteristic function of the set and , and then where
Note that We have
When , we have . Choosing , then by (79), , the desired result follows.
When and , we have
When and , we denote and . The line (when , we use the line instead) separates the frequency space into two half-planes. We let to be the half-plane which contains the point , and then
By (79), we have . Note that (75) holds.
When and , let be the half-plane which does NOT contain the point ; we can prove (75) similarly as above.
By the proof above, we get and . Denote and suppose
Repeating the proof above, we can get , , and ; by induction, we obtain (62).
By the orthogonal condition (45), following the proof in [14], we can obtain that for fix and for all , (63) were proved.
Step 2. For arbitrary , we define if the orthogonal condition (45) is NOT true for any subsequence; that is,
By the definition above, if , we have
Note that By Remark 15, we can put these two profiles together as one profile. Then, by denoting / as , we can obtain the sequence , ; and (52)–(56) were proved.
Specially, since for each , we have for fixed and , and hence for any fixed and .
Step 3. We prove (57) now. By (56), we only need to prove that for all , ,
As and for , By (54), we have
We separate the set into two subsets:
When ,
Hence, in order to prove (90), one only needs to prove
If and , for a function , we have
By approximating by in and sending , we have . Note that ; we obtain for all .
If and , we have orthogonal condition for any . Thus, (96) holds and then (57) was proved.

5. The Proof of Theorem 3

Let be a solution of (5), ; by Strichartz estimate and (21),

When , by standard continuity argument, we have

Hence, if , then . In particular, we have scattering in both directions.

For any mass , we define

Then is a monotone increasing function of . As is left-continuous and finite for small , there must exist a unique critical mass such that is finite for all but infinite for all .

To prove Theorem 3, one only needs to prove that the critical mass is infinite. We will prove that by contradiction.

Proposition 17. Suppose that the critical mass is finite. Let for be a sequence of solutions and let be a sequence of times such that , , and
Then there exists a sequence of such that has a subsequence which converges strongly into . Especially, the Hamiltonian of the limiting function is not greater than 1.

Proof. We can take for all by translating in time. Thus,
By Lemma 16, up to a subsequence if necessary, we have where and were defined by (94). Suppose that where and . By (55),
Hence,
Suppose For some , we will prove that this leads to a contradiction: defining the nonlinear profile as follows.(i)When ,(1)if , we define to be the global solution of (5) with initial data ;(2)if , we define to be the global solution of (5) which scatters to in when ;(3)if , we define to be the global solution of (5) which scatters to in when .(ii)When ,(1)if , we define to be the global solution of with initial data ;(2)if , we define to be the global solution of which scatters to in when ;(3)if , we define to be the global solution of which scatters to in when .
For each , is well defined by the definition of , (100), and (108). For each , is well defined by the scattering of cubic Schrödinger equation in (see [7, 8]) and the same analysis as in Lemma 9.
Now, we define for , and then we have the following two lemmas.
Lemma 18
Proof. Since we get the first equality.
Note that maps the solutions of from one to another; using (57) and energy conservation, we have
Lemma 19.  Ifthenwhere .
Proof. Denote
By the definition of , we have
Thus, by triangle inequality, it suffices to show that
By Lemma 18, let and be sufficiently large; we have
Since we have supposed , Lemma 6 can also be used here. Then by the same estimates as (31),
By (54),
As we have
By , (117) was obtained.
Using Strichartz estimate,
By Lemma 8,
Note that . Equation (119) was obtained.
To prove Lemma 19, it is only left to prove (118). Note that By (57), we have
By (49), we immediately obtain (118).
If for some , by the definition of and (100), we have where . Then satisfies
By (50), (106), and (132), we have
Using Lemmas 18 and 19, we have for sufficiently small, , and sufficiently large. By Lemma 10, we obtain that which contradicts (103). Thus, (129) fails for all , and then
Comparing this with (106), we have with converging to or , , , and
Specially, the parameters , of must satisfy
If , similar to the former case, we can define the approximate solution
By the scattering of cubic Schrödinger equation, we have and . By Lemmas 18, 19, and 10, for sufficiently large, we obtain which contradicts (103).
If , , and , by Strichartz estimate and monotone convergence, we have
Thus,
Since , we can see from (136) that
Hence,
By Lemma 10 (with as the approximate solution and as the initial data), we have which contradicts one of the estimates in (103).
If , , and , the argument is the same and we can obtain a contradiction by using the other half of (103).
Now, the only case left is , , and . In this case, we have
Thus, converges to in . Since , after passing to a subsequence if necessary and rotating , the desired result follows.

Let be the sequence given in Proposition 17 and satisfy and suppose that converges to strongly in ; then and . Let be the global solution with initial data ; by Lemma 10, we must have

By the definition of , and hence .

Since is locally in , for all , we have

Using Proposition 17 for , we have that converges into . By Ascoli-Arzela Theorem, we have the following.

Proposition 18. Suppose that the critical mass is finite. Then there exists a global solution with mass , and for every there exists such that for all , where the functions .

Proposition 19. The solution described in Proposition 18 does not exist.

Once we proved Proposition 19, we can say that and thus Theorem 3 is true. In order to prove Proposition 19, we need the following two lemmas.

Lemma 20 (see [6, Lemma 5.2]). Let u be a global solution of (5). Then one has where .

Lemma 21 (see [6, Lemma 6.2]). Let u be a global solution of (5). Let be a compact subset of . Then for any and , one has where .

Proof of Proposition 19. By Lemma 21, choosing sufficiently small,
By Proposition 18,
For a fixed large number , we must have . By Lemma 20 and Hölder inequality,
This is a contradiction. Proposition 19 was obtained.

Acknowledgment

This work is supported by China Scholarship Council and NNSF of China (no. 11271023).