In this paper, we first prove that the cubic, defocusing nonlinear Schrödinger equation on the two dimensional hyperbolic space with radial initial data in is globally well-posed and scatters when s > 3/4. Then, we extend the result to nonlinearities of order p > 3. The result is proved by extending the high–low method of Bourgain in the hyperbolic setting and by using a Morawetz type estimate proved by Staffilani and Ionescu.
I. INTRODUCTION
In this paper, we first consider the cubic nonlinear Schrödinger (NLS) initial value problem on the hyperbolic plane ,
where u = u(t, x) is a complex-value function in spacetime and ϕ is a radial initial datum.
The solution of (1.1) conserves both the mass
and the energy
Conservation laws of mass and energy give the control of the L2 and Ḣ1 norms of the solutions, respectively.
Our goal in this paper is to prove the global well-posedness and scattering of (1.1) with the regularity of the initial data below H1.
In order to best frame the problem and to emphasize its challenges, we start by recalling the results in , a setting that has been extensively considered in recent years. Consider the evolution equation in (1.4) with general non-linearities,
in . Let us first recall that the critical scaling exponent in is
It is well-known that in the sub-critical and critical regimes (s > sc and s = sc, respectively), the initial value problem (1.4) is locally well-posed;1–4 we recall here that with local well-posedness, we mean local in time existence, uniqueness, and continuous dependence of the data to the solution map. Thanks to the conservation laws of energy and mass, the H1-subcritical initial value problem and the L2-subcritical initial value problem are globally well-posed in the energy space H1 and mass space L2, respectively. The questions about scattering are much more delicate. What we mean with scattering here will be made more precise later (see, for example, Theorem 1.1), but in general terms, with scattering, we intend that the nonlinear solution as time goes to infinity approaches a linear one.
Before we talk about the global results in the more general subcritical case with data with regularity between L2 (mass) and H1 (energy), that is, in Hs, 0 < s < 1, let us denote with the regularity index above which one obtains the global well-posedness for the NLS problem on the manifold with power nonlinearity p and with the index above which one obtains scattering (with the global well-posedness) again on the manifold with power nonlinearity p.
The very first global well-posedness result in the subcritical case between the two (mass and energy) conservation laws (0 < s < 1) was given by Bourgain,5 where he developed the high–low method to prove global well-posedness for the cubic (p = 3) NLS in two dimensions for initial data in Hs, s > 3/5. According to the above notation, the regularity index in Ref. 5 is .
We now describe the high–low method of Bourgain because it is the inspiration for part of our current work. To start, the initial datum is decomposed into a (smoother) low frequency part and a (rougher) high frequency part. The first step is to solve the NLS globally for the smoother part, for which the energy is finite, and then solve a difference equation for the rougher part. The miracle in this argument, which allows one to continue with an iteration, is that, in fact, the Duhamel term in the solution to the difference equation is small and smoother in an interval of time that is inversely proportional to the size of the low frequency part of the initial datum. At the next iteration, one merges this smoother part with the evolution of the low frequency part of the datum and repeats. It is worth mentioning that in order to obtain the miracle step, Bourgain5 used a Fourier transform based space Xs,b that captures particularly well the behavior of solutions with low regularity initial datum. Let us remark that there is no scattering result in the high–low method proposed by Bourgain.
Colliander–Keel–Staffilani–Takaoka–Tao6 improved the global well-posedness index of the initial data to 4/7 by introducing a different method, now known as the I-method. This is also based on an iterative argument. One first defines a Fourier multiplier that smooths out the initial data into the energy space and proves that the energy of the smoothed solution is almost conserved, that is, at each iteration, the growth of such modified energy is uniformly small. The index is derived by keeping the accumulation of energy controlled. As a result, Colliander et al.6 obtained a polynomial growth of the sub-energy Sobolev norm of the global solution. The cubic NLS in was also considered in Ref. 6, and the index .
Later, in Ref. 7, by combining the Morawetz estimate with the I-method and a bootstrapping argument, the same authors were able to lower the index to 4/5 and proved for the first time that the global solution also scatters, and hence, . It is important to recall though that Bourgain8 had already proved global well-posedness for general data with index and scattering for radial data with index .
To prove scattering, one needs to show that a spacetime norm of the solution is uniformly bounded. To this end, an iteration of local well-posedness would not suffice. Instead, one uses a Morawetz estimate that gives a uniform bound of the L4 spacetime norm of the solution, combined with the I-method. More in detail, one splits the timeline into a finite number of intervals Ij, of possible infinite length, on which the of the solution is small. The smallness allows for a better spacetime bound of the global solution on each interval Ij, and then, one uses an iteration on the finite number of these intervals, which finally gives the desired spacetime uniform bound for the solution and hence scattering.
More results on the high–low method and the I-method both in and compact manifolds can be found in Refs. 7, 9–21, and 22.
We now consider the initial value problem,
with p > 1. Compared to what we recalled above, we expect even better results in . In fact, the negative curvature of the ambient manifold allows for more dispersion in than in the Euclidean spaces. Mathematically, we can see this in the Strichartz estimates on , a family of estimates that is broader than the one obtained for the Euclidean space (see Refs. 36 and 37). The fact that the family of Strichartz estimates is larger in reminds us of another case in which this is true. In fact also for the wave equation, the Strichartz estimates form a larger family. In this case though, it is not the curvature of the ambient manifold that generates a larger number of estimates, but instead it is the fact that the wave operator has a strong smoothing effect pointwise in time, a property that is not enjoyed by the Schrödinger operator. As a consequence, when one considers a nonlinear wave equation, the smoother and more plentiful estimates provide more suitable control of the nonlinear terms, and this is the reason why in the nonlinear wave setting, the miracle step in the high–low method in Ref. 23 does not need the Fourier type spaces Xs,b mentioned above. However, in contrast, the larger range of the Strichartz estimates for the Schrödinger operator in the hyperbolic space still is not readily enough to handle the miracle step since although one obtains better spacetime estimates, there is no pointwise smoothing effect; hence, the context we work in is more challenging than the one in Ref. 23. At this point, one may guess that using some hyperbolic version of the space Xs,b may do the trick. While this is indeed the case when the problem is posed in , see, for example, Ref. 11, in the space, it is not clear how to define the Fourier transform based Xs,b type spaces in a way that is useful to handle nonlinearities. A naive definition using the Helgason–Fourier transform in Ref. 24 is deficient because of the following two reasons: first, the eigenfunctions of the Laplace–Beltrami operator on lead to a very different Fourier inversion formula and Plancherel theorem. In particular, we cannot claim that the Fourier transform of a product is the convolution of Fourier transforms, which is a fundamental fact used in the estimates of nonlinear terms via the space Xs,b. Second, the frequency localization based on the Helgason–Fourier transform does not behave well in , which causes difficulties in defining an effective Littlewood–Paley decomposition. We anticipate here that our approach to recover the miracle step, where one has to prove a gain of smoothness for the solution to the nonlinear difference equation, takes advantage of a Kato type smoothing effect. This smoothing is not pointwise in time, like for the wave operator, but average in time, hence much weaker. In order to make up for this weakness, we need to use a maximal function estimate combined with a better Sobolev embedding, which, in turn, forces us to assume radial symmetry for our initial data. We expect though that our global well-posedness and scattering results are true in general, and we believe that the more sophisticated smoothing effect in Ref. 25 may play an important role.
We now move to a summary of results that have been proved in the context of well-posedness and scattering for NLS in . Although the initial value problem (1.6) cannot be properly scaled, we still use the same index sc defined in (1.5) to guide us in gauging the difficulty of proving the global well-posedness and scattering for (1.6). The subcritical initial value problem in the hyperbolic setting was first considered in Ref. 26, where the authors proved scattering for a family of power-type nonlinearity NLS with radial H1 data. Banica and Duyckaerts27 showed global well-posedness, scattering, and blow-up results for energy-subcritical focusing NLS also on the hyperbolic space. Recall that an NLS equation is called focusing when the nonlinearity in (1.4) has a negative sign, that is, .
In the critical setting Ionescu et al.28 proved global well-posedness and scattering of the energy-critical NLS in . This result uses an ad hoc profile decomposition technique to transfer the already available result in (Ref. 29) into the setting. A similar technique was also used in for the same energy critical problem.30 We do not think that this method, which is well suited for critical settings, could work in our subcritical setting, when the initial data are in , but it may work to transfer in the result that Dodson proved for mass critical in .31 To the best of the authors’ knowledge, there are no known subcritical global well-posedness and scattering results with initial data not at the conservation law level in hyperbolic spaces.
We now state the main result of this work for the initial value problem (1.1). Later, in Sec. V, we state a similar result for the more general version (1.6) with p > 3.
Here, we conduct a discussion on the indices of regularity for the global well-posedness, and we make a comparison with other results.
As discussed above, the equivalent case we consider here but in was treated by Bourgain without redial symmetry using the Xs,b space. Since we cannot use the same approach in , we decided first to rework this case using different tools such as Kato smoothing effect, maximal function estimates, and better Sobolev embedding. We did this because in , we have a Littlewood–Paley decomposition that works very well. Using these tools in the implementation of the high–low method, we obtained that the cubic radial NLS is globally well posed when s > 4/5, that is, . Recall that Bourgain’s result gives , which is better than what we can do in , and it is for general data. However, what we achieved in this first step is a blueprint that is generalizable to the space. We did not report our calculations for here, but the curious reader can check a longer version of this work in Ref. 32.
One notes that the index that we attained in Theorem 1.1 is smaller than the one we obtained in , where we worked out only the global well-posedness, not the scattering. This is because of the better radial Sobolev embedding in and of the help coming from the strong Morawetz estimate used in the local theory.
Now, let us discuss a little bit of history concerning the indices of regularity for the global well-posedness. In Bourgain’s paper, where the high–low method was introduced,5 the global existence index is . Later in Ref. 6, where the I-method was used, the index was improved to 4/7, and later in Ref. 33, thanks to a sophisticated treatment of the Fourier multiplier involved in the I-method, the global existence index was lowered further to 1/2. The global well-posedness of cubic NLS in two dimensions with H1/2 data was proved in Ref. 17. In addition, was improved to 1/3 in Ref. 9 and to 1/4 in Ref. 13. In Refs. 34, 35, and 31 Dodson proved global well-posedness and scattering for the mass-critical NLS in any dimension. As a consequence, via the persistence of regularity property, mass-critical NLS equations with any subcritical initial data are globally well-posed as well.
A. Blueprint of the proof
In this subsection, we summarize the three main parts of the proof of Theorem 1.1. In general terms, we combine the high–low method with a Morawetz type estimate that gives a bound for the spacetime L4 norm.
The first part of the proof deals with the analysis of the energy increment. Following Bourgain’s high–low method, we first decompose the initial datum into a high and low frequency part. Then, we write the solution u as the sum of the linear evolution of the high frequency part and a remainder ζ that solve a difference equation that evolves from the low frequency part of the original initial datum. In this first step, we assume that in an interval [0, τ], where τ could be infinity, the L4 spacetime norm of the solution is small. We then prove an estimate for the energy increment of ζ. This is the content of Proposition 3.1. To prove this energy increment estimate, we further decompose ζ = ζ1 + ζ2, where ζ1 is the nonlinear solution starting from the low frequency part of the datum and ζ2 solves a difference equation with zero datum. This part is similar to the high–low method of Bourgain, but here the interval of time is not small and the smallness comes from the L4 norm. The miracle step is then to be able to show that ζ2 is smoother and small in the appropriate norms. In the second part of the proof, we assume that the total L4 spacetime norm of the solution is bounded and we subdivide the timeline into finitely many intervals in which this norm is small. Here, we apply the first part described above, and we prove a global energy increment for ζ, this is Proposition 3.2. In the last part, we use a bootstrapping argument to show that indeed, the L4 norms of the solution u are bounded. This part requires a modification of the Morawetz estimate in Ref. 36 (see Proposition 4.1), and it uses the global energy increment proved in Proposition 3.2.
To summarize, the rest of this paper is organized as follows: In Sec. II, we discuss the geometry of the domain and collect the useful analysis tools in . Next, in Sec. III, we present the calculation of the energy increment of the smoother part of the solution. In Sec. IV, we run a bootstrapping argument based on the estimates derived from Sec. III and modified Morawetz estimates and complete the Proof of Theorem 1.1. Finally, in Sec. V, we generalize this theorem for p > 3.
II. PRELIMINARIES
A. Notations
We define
where I is a time interval.
We use the Japanese bracket notation in the following sense:
where X is one of the normed spaces we use below.
We adopt the usual notation that A ≲ B or B ≳ A to denote an estimate of the form A ≤ CB for some constant 0 < C < ∞ depending only on the a priori fixed constants of the problem. If A ≲ B ≲ A, we write A ∼ B or A ≃ B.
B. Geometry of the domain
We consider the Minkowski space with the standard Minkowski metric,
and we define the bilinear form on ,
The hyperbolic space is defined as
An alternative definition for the hyperbolic space is
One has
and the metric induced on is dr2 + sinh2 r dω2, where dω2 is the metric on the sphere .
Then, one can rewrite integrals as
Let 0 = {(1, 0, 0)} denote the origin of . The distance of a point to 0 is
More generally, the distance between two arbitrary points is
The general definition of the Laplace–Beltrami operator is given by
The form of the Laplace–Beltrami operator implies that there will be no scaling symmetry in as we usually have in the setting.
C. Tools on
In this subsection, we recall some important and classical analysis developed for the hyperbolic spaces.
1. Fourier transform on
For and λ a real number, the functions of the type
where Λ(θ) denotes the point of given by (1, θ), are generalized eigenfunctions of the Laplace–Beltrami operator. Indeed, we have
The Fourier transform on is defined as
and the Fourier inversion formula on takes the form of
where c(λ) is the Harish–Chandra coefficient
2. Strichartz estimates
In this subsection, we recall the Strichartz estimates proved in the hyperbolic space. We say that a couple (q, r) is admissible if (1/q, 1/r) belong to the triangle
We have the following theorem by Anker–Piefelice.36
Strichartz estimates are better in in the sense that the set Td of admissible pairs for is much wider than the corresponding set Id for , which is just the lower edge of the triangle (see also Fig. 1).
Strichartz admissible pair regions (d = 2 and d ≥ 3) for the hyperbolic space.
3. Local smoothing estimates in the hyperbolic space
Kaizuka38 considered more general manifolds that they are denoted with X. To obtain the above theorem, one needs to take , , and m = 2.
4. Heat-flow-based Littlewood–Paley projections and functional inequalities on
The Littlewood–Paley projections on that we use in this paper are based on the linear heat equation esΔ. It turned out, in fact, that for us, this is a great substitute for the standard Littlewood–Paley decomposition used in , since in , one cannot localize in frequencies efficiently. We report below several results that first appeared in Ref. 25.
Intuitively, Psf may be interpreted as a projection of f to frequencies comparable to s−1/2. P≥s and P≤s can be viewed as the projections into low and high frequencies, respectively.
Lemma 2.17 allows more possible Lp norms than Lemma 2.16 in the product rule. The Proof of Lemma 2.17 is using Triebel’s argument in Ref. 39 (see, for example, Secs. 7.2.2 and 7.2.4) and can also be found in Proposition 2.14 of Ref. 25. This proof relies on a localization lemma (see, for example, Lemma 2.16 in Ref. 25) to reduce to the standard Sobolev product rule.
□
5. Radial Sobolev embeddings
□
□
III. ENERGY INCREMENT ON
In this section, we analyze a certain energy increment. As mentioned in the Introduction, we present a modified Morawetz type estimate in Subsection IV A and in Subsection IV B, we conclude the global well-posedness and scattering proof by showing that the spacetime L4 norm of the solution is uniformly bounded.
Let us recall schematically below the heat-flow-based Littlewood–Paley projections,
Now, we decompose the initial data ϕ into a low frequency component and a high frequency component , where is a fixed large frequency and will be determined later in the proof. Note that plays the same role as N0 in Ref. 5.
Using the above decomposition, we would like to write u into the sum of the following two solutions ψ and ζ, where solves the linear Schrödinger with high frequency data,
and ζ solves the difference equation with low frequency data,
and here, .
A. Main results in this section
The main results in this section are a local energy increment (Proposition 3.1) and a conditional global energy increment (Proposition 3.2) for the solution ζ.
T could be infinity. In fact, the ultimate goal of this paper is to show that the spacetime L4 norm is bounded for all time intervals, which implies scattering.
B. Proof of Proposition 3.1
To analyze the behavior of the solution ζ more carefully, we first make a further decomposition. That is, we would like to separate the differential equation (3.2) into a cubic NLS with low frequency data,
and a difference equation with zero initial value,
Hence, ζ = ζ1 + ζ2, and the full solution u is the sum of these three solutions,
It is worth mentioning that the decomposition in Bourgain’s work5 is a cubic NLS with low frequency data,
and a difference equation with high frequency data,
where . Then, the full solution u is u = u0 + v. In our work, we need to be more careful.
Note that plays the same role as N0 in Ref. 5. When comparing these two decomposition, we can relate them in the following sense: ζ1 is the same as u0 and ψ + ζ2 is, in fact, v, where ψ is the linear solution in (3.8) and ζ2 is the Duhamel term w in (3.8).
Step 1: Understanding the decomposed initial data. Recall that we decomposed the initial data ϕ = η0 + ψ0, where and . Here, we list several facts of the decomposed initial data η0 and ψ0.
In fact, (1) follows from Bernstein inequality (Lemma 2.19), (2) is by interpolating L2 and H1 norms, and (3) is due to Sobolev embedding (Lemma 2.14) and (2).
Here, (1) follows from Bernstein inequality (Lemma 2.19), while (2) is due to the fact that ϕ being in Hs.
Step 2: Estimation on the solution ψ of (3.1).
In fact, the solution ψ of the linear equation (3.1) is global, although it lives in a rough space Hs. Moreover, from the linear Strichartz estimates, Lemma 2.19 and (1) in Fact 3.5, one has
More generally,
Step 3: Estimation on the solutionζ1of(3.4).
Ultimately, we will show in Corollary 3.9, and here, (2) is an intermediate step.
□
Step 4: Estimation on the solution ζ2 of (3.5) and extra estimates on ζ1.
Recall (3.5)
where
We postpone the Proof of (3) to step 6.□
With enough estimates on ζ2 in hand, as we promised in Lemma 3.6, we will finish the analysis of ζ1.
As a consequence of (1) in Lemma 3.8,
we improve the bound in Lemma 3.6 by and
obtain , where 0 ≤ σ ≤ 1.
Combining (2) in Lemma 3.6 and (1) in Lemma 3.8, it is easy to see that (1) holds.
□
Step 5: Local energy increment.
Now, we are ready to compute the energy increment from 0 to τ and show such an increment is as described in Proposition 3.1. That is, we will show
In fact, a direct computation of the difference of the energy gives
By the energy conservation of ζ1, (1) in Lemma 3.6, and (3) in Lemma 3.8,
for s > 1/2. [ dominates in I.]
Using Sobolev embedding, Lemma 2.13, (2) and (3) in Lemma 3.8, and (1) in Lemma 3.6, we have the following L4 norm estimates for ζ1 and ζ2:
Combining with Hölder inequality, we compute
for s > 1/4. [ dominates in II, and I dominates in E(ζ(τ)) − E(ζ(0)).]
Now, we finish the calculation of the analysis of the energy increment in Proposition 3.1.
Step 6: Proof of (3) in Lemma 3.8.
Before proving (3) in Lemma 3.8, we first state the following lemma:
Finally, we arrive at the Proof of (3) in Lemma 3.8.
In this step, we prove the smoothness of the solution ζ2 using the local smoothing estimate and the radial assumption of the initial data. In fact, this is the only place where the radial assumption is used, and all other steps work for all general data.
□
Let us also recall some estimates from Subsection III A [(3.10), (3.9), Corollary 3.9, Lemmas 3.10, and 3.8],
Now, we continue working on (3.15). By Lemma 3.10,
This term will be absorbed by the left-hand side of (3.15).
For II, we employ the local smoothing estimate. Since ψ is a linear solution, the linear version should be enough for this term. To implement the local smoothing estimate, we would like to introduce the weight , where ɛ1 is a small positive number, and split out half derivative from the full gradient. Then, by the chain rule and Hölder inequality, we write
Now, we compute the two factors above separately. Using the linear local smoothing estimate (Lemma II C 3) and Lemma 2.19, we write the first factor into
To estimate the second factor in (3.17), by Hölder inequality, Sobolev embedding, (3.10), (3.9), and Claim 3.11, we have
For III and IV, we write them in a similar way as in (3.17),
Noting that the estimates for ζ2 in Claim 3.11 and (3.16) are equally good or better than those for ψ, we will only present the estimation of IV. Our goal here is to prove that IV is bounded by . In fact, III is also bounded by .
We first start with the terms with no derivative and positive weights. By Hölder inequality, Sobolev embedding, Corollary 3.9, and Claim 3.11,
for s < 1.
By Hölder inequality, Sobolev embedding, Corollary 3.9, (3.10), and Claim 3.11,
for s > 3/4.
Then, we focus on the terms with derivatives and negative weights.
Note that we have treated in (3.18).
By Hölder inequality, Fact 3.4, Sobolev embedding, Corollary 3.9, and Claim 3.11,
for s < 1.
Combining all the terms I–IV, we write (3.15) into
Then, we have
This concludes the Proof of (3) in Lemma 3.8 and completes the analysis of the energy increment.□
C. Proof of Proposition 3.2
We divide the time interval [0, T] into [0, T] = ∪iIi = ∪i[ai, ai+1] such that on each Ii,
Hence,
Let us remark that the length of such small intervals could be very long, and if some of them is an infinite interval, say [ak, ∞), then we just call ak+1 = ∞.
On the first interval I1 = [0, a1], we can apply Proposition 3.1 and have the local energy increment
On the second time interval I2 = [a1, a2], we solve ζ by solving a cubic NLS with smoother data,
and a difference equation with zero initial value,
Hence, , and the full solution will be . Applying Proposition 3.1 again, we see that
The reason why we are safe to apply Proposition 3.1 on I2 is that new decomposed initial data ζ(a1) and ψ(a1) satisfy all the facts in Facts 3.4 and 3.5, and all the calculations that we did in Proposition 3.1 will apply to the new systems (3.23) and (3.24). In particular, the size of new initial data ζ(a1) in energy is the size of ζ(0) in (3.2) plus a small error from ζ2(a1), which can be seen from Proposition 3.1,
In addition, the H1 norm of ζ(a1) can be thought as the H1 norm of ζ(0) plus a small error,
Then, we can continue this iteration as long as the accumulated energy increment does not surpass the size of the initial energy of ζ(0), which guarantees that the setup for the smoother component remains the same size in the next iteration. That is,
which gives
The total energy increment is
For now, we finish the Proof of Proposition 3.2 and give the choice of s0.
IV. GLOBAL WELL-POSEDNESS AND SCATTERING ON
In this section, we use a bootstrapping argument to finally show the global well-posedness and scattering results stated in Theorem 1.1. In fact, we will show that the Morawetz norm is uniformly bounded, and once we have it, the proof of scattering will be standard.
A. Morawetz estimates on
We first recall that the Morawetz estimate of the cubic NLS on in Ref. 36, when u is the solution to the cubic NLS equation , reads as
B. Proof of Theorem 1.1
Now, we are ready for the bootstrapping argument.
Step 1: Setup of the open–close argument.Define
where M > 0 is a constant. W is closed and non-empty. Now, we want to show that W is open. If T1 ∈ W, then due to the local well-posedness theory and Remark 3.12, for some T0 > T1 and T0 sufficiently close to T1, we have
In fact, the Hs norm of u(T1) is bounded, then using a standard local well-posedness argument, we can continue the solution u from time T1 at least for a short time. Within such a short time period, due to the sub-criticality, the spacetime L4 norm of u will be bounded by twice the Hσ, for σ arbitrarily small, norm at T1, which is of order (see Remark 3.12). Hence, we want to ensure that
which is achieved for any s > 3/4 by taking σ small enough (say, σ = 1/4). This guarantees the existence of such T0.
Now, we show that T0 ∈ W, that is,
Recalling the decomposition of the solution u in (3.1) and (3.2) and using the smallness of L4 norm of ψ in (3.9), one can reduce (4.2) to
Now, we will prove the improved bound of in (4.3) in steps 2 and 3.
Step 2: Improving the bound for . The modified Morawetz estimate in (4.1) that now gives
Recall Eq. (3.2) that ζ satisfies, then in our case, is given by
Now, we estimate the right-hand side terms in (4.4).
We write the last term in (4.4) as
Assuming Claim 4.3, we continue the estimation of (4.5),
Using the same calculation as in (3.28), we have
then the first term in (4.4) is bounded by
Now, (4.4) becomes
To close the argument, we need the following inequality holds for :
This requirement of (4.6) can be achieved for s > 3/4. Now, we are left to prove Claim 4.3.
Step 3: Proof of Claim 4.3.
V. GENERAL NONLINEARITIES
Our result for the cubic NLS in Theorem 1.1 can be generalized to a larger class of nonlinearities. In fact, we have the following result.
The initial value problem (1.6) with radial initial data is globally well-posed and scatters in when .
Note that the scaling of (1.6) is .
A. Sketch of the proof
We will briefly present how the method presented above for the cubic NLS can be generalized to nonlinearities of order p.
- As in Sec. III, we decompose u in ψ and ζ, where solves the linear Schrödinger with high frequency data and ζ solves the difference equation with low frequency data,Then, using similar analysis, we obtain the global energy increment given the boundedness of u in the critical spacetime (see Propositions 5.2 and 5.3). The analogs of all the estimates that we used in the cubic case can be found in (5.3).(5.1)
Similarly, a bootstrapping argument on the norm gives both the global existence and scattering.
Note that the only difference in the general case is that the spacetime in the local theory (Proposition 5.2) is different from the Morawetz norm. Hence, in the bootstrapping argument, an intermediate step is needed. In fact, in this step, we first obtain and improve the estimates on the Morawetz norm, then we bootstrap the norm with the better Morawetz bound. Note that agrees with the Morawetz norm when p = 3, and hence, such a step is not needed in Sec. IV.
B. Analogs of the main propositions
We now present the analogs of Propositions 3.1 and 3.2 on the energy increment.
C. Analogs of the main estimates
Within the proofs of above two propositions, we need a further decomposition for ζ as is (3.4)–(3.6),
Hence, the full solution u is the sum of these three solutions u = ζ1 + ζ2 + ψ.
The analog of (3.16) can be computed similarly as follows:
Claim 3.11 will be the same in the general setting. Most importantly, the analog of (3) in Lemma 3.8 is
The choice of s0 in Proposition 5.3 is given by
It is also worth mentioning that the hidden constant in (5.3) at the second iteration is bounded by the norm of ϕ plus a small error,
for . Then, the accumulated gain of this hidden constant will be dominated by the size of the norm of ϕ, hence not growing.
D. A different bootstrapping argument
We consider
We are then reduced to showing that for T0 chosen in the same manner as in step 1 in Sec. IV,
Things are different here. First, interpolating with the bound of the norm in the assumption gives an estimate on the Morawetz norm,
If we simply require , here there will be no room to improve the norm at all. Hence, to this end, we demand it to be much smaller than M, that is, for α ∈ (0, 1),
hence recalling (5.4), we get the first restriction on s
With this better Morawetz bound, we can improve the norm by making it smaller than M by Hölder inequality, (5.6), and Proposition 5.3 with the choice of M as in (5.4),
This with (5.4) implies the second restriction on s,
Therefore, combining both conditions on s, we choose to be the best possible scattering index, where
ACKNOWLEDGMENTS
G.S. and X.Y. graciously acknowledge the support from the Jarve Seed Fund. G.S. was also supported, in part, by the grant NSF (Grant No. DMS-1764403) and X.Y. by an AMS-Simons Travel Grants. G.S. and X.Y. would also like to thank A. Lawrie and S. Shahshahani for very insightful conversations.
VI. DATA AVAILABILITY
The data that support the findings of this study are available from the corresponding author upon reasonable request.