Resolvent estimates for the magnetic Schr\"odinger operator in dimension $n \geq 2$
Crist\'obal J. Mero\~no, Leyter Potenciano-Machado, Mikko Salo

TL;DR
This paper extends known resolvent estimates for magnetic Schr"odinger operators from higher dimensions to all dimensions greater than or equal to two, demonstrating similar decay properties in weighted spaces.
Contribution
It proves that high-frequency resolvent estimates for magnetic Schr"odinger operators hold in all dimensions n ≥ 2, broadening previous results limited to n ≥ 3.
Findings
Resolvent norms decay like λ^{-1/2} at high energy.
Estimates valid for large long or short range potentials.
Results apply uniformly across all dimensions n ≥ 2.
Abstract
It is well known that the resolvent of the free Schr\"odinger operator on weighted spaces has norm decaying like at energy . There are several works proving analogous high-frequency estimates for magnetic Schr\"odinger operators, with large long or short range potentials, in dimensions . We prove that the same estimates remain valid in all dimensions .
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Resolvent estimates for the magnetic Schrödinger operator in dimensions
Cristóbal J. Meroño
Universidad Politécnica de Madrid, ETSI Caminos, Departmento de Matemática e Informática, Campus Ciudad Universitaria, Calle del Prof. Aranguren, 3, 28040 Madrid
,
Leyter Potenciano-Machado
University of Jyvaskyla, Department of Mathematics and Statistics, PO Box 35, 40014 University of Jyvaskyla, Finland
and
Mikko Salo
University of Jyvaskyla, Department of Mathematics and Statistics, PO Box 35, 40014 University of Jyvaskyla, Finland
Abstract.
It is well known that the resolvent of the free Schrödinger operator on weighted spaces has norm decaying like at energy . There are several works proving analogous high frequency estimates for magnetic Schrödinger operators, with large long or short range potentials, in dimensions . We prove that the same estimates remain valid in all dimensions .
1. Introduction
Resolvent estimates for Schrödinger operators play a fundamental role in stationary scattering theory [RS75, Hö83] and in inverse scattering [Es11]. They are also useful when proving Strichartz, smoothing, and dispersive estimates, eigenvalue estimates, as well as local energy decay for wave and Schrödinger equations (see e.g. [EGS08, CCV13, RT15, BDK18, GHK17]). In many of these applications it is important to understand the high frequency behavior of the resolvent, i.e. how the norm bounds depend on the frequency (or energy).
A standard high frequency resolvent estimate for the free Schrödinger operator in (see e.g. [Ag75], [Ya10, Section 7.1]) states that
[TABLE]
where , , , and is independent of and . The spaces are the weighted Agmon spaces, and their norm is given by
[TABLE]
where and .
In this work, we consider a first order perturbation of the Laplacian, the magnetic Schrödinger operator in , , given by
[TABLE]
where , the magnetic potential is a vector field, and the electrostatic potential is a function. We assume that and .
A direct perturbation argument shows that (1.1) remains valid when is replaced by the magnetic Schrödinger operator , provided that for some ,
[TABLE]
and provided that is sufficiently large (depending on ).
If the magnetic potential is large, the perturbation argument fails, and several works have been devoted to understanding high frequency resolvent estimates. The articles [EGS08, EGS09, Go11] employ harmonic analysis methods and prove high frequency resolvent estimates assuming that is continuous and the potentials are of short range type. Analogous estimates were proved earlier in [Ro92, Théorème (5.1)] for smooth long range potentials satisfying symbol type bounds, also when the Euclidean metric is replaced by an asymptotically Euclidean metric with no trapped geodesics. The proof was based on a microlocal version of the Mourre commutator method, which in turn is an instance of a positive commutator method.
In the Euclidean case, the works [CCV13, CCV14, Vo14] prove high frequency resolvent estimates for long and short range potentials having low regularity, with the most general results given in [Vo14]. Their proofs involve positive commutator arguments combined with ODE techniques, including Carleman estimates, that are valid under low regularity assumptions. We mention also the works [Zu12, Zu14], in which the Morawetz multiplier method, also related to positive commutator arguments, is used to allow magnetic potentials with singularities.
Many of the previously mentioned works explicitly assume that the dimension is . It is the purpose of this article to show that high frequency resolvent estimates for the magnetic Schrödinger operator, under low regularity assumptions like in [Vo14], remain valid in all dimensions .
We now assume that the potentials and in (1.2) have both long range and short range parts satisfying the following conditions:
[TABLE]
[TABLE]
[TABLE]
for some . In some results we will use also the stronger condition
[TABLE]
We can state now the main result in this work.
Theorem 1.1**.**
Let and with , and . Assume that that and satisfy (1.3) – (1.5). Then, for any , there exist positive constants and such that for every , the resolvent satisfies the estimate
[TABLE]
whenever and . Moreover, if one also assumes the condition (1.6) on the short range magnetic potential, then the estimate
[TABLE]
holds for every .
Estimate (1.7) is analogous to the results in [Vo14, Theorem 1.1] but it holds also for . Condition already appears in [CCV14]. However, the results in both the above mentioned papers hold under the following slightly weaker conditions on the long range potentials:
[TABLE]
Here denotes the radial derivative. In our case, the main a priori estimates in this work (see Lemma 2.4 and Proposition 5.1 below) are also obtained under the weaker long range conditions (1.9). Essentially, the stronger conditions (1.4) are only needed for the final density argument used to prove Theorem 1.1.
We remark that is immediate to see that Theorem 1.1 also holds for a Hamiltonian , under the conditions (1.3) –(1.5), since the extra term can be considered as part of the electrostatic potential and can be decomposed suitably in a short range and long range part.
In the proof of Theorem 1.1 the self-adjointness of is essential so that the resolvent can be defined as a bounded operator in for all with . This does not impose further restrictions on the potentials, since is self-adjoint for and (see Proposition A.1 for a short proof of this basic fact). By definition, for in the spectrum of , the operator cannot be defined as a bounded operator in . Nonetheless, it is well known that the limiting absorption principle (see e.g. [RS75, Hö83]) provides a way to define the resolvent operators
[TABLE]
as bounded operators from to for .
Under certain restrictions, a limiting absorption principle is proved in [Hö83, Theorem 30.2.10] in the presence of long range and short range magnetic potentials. Then, it follows from this result that the resolvent will satisfy the same bounds as in Theorem 1.1. We state this with more precision in the following theorem.
Theorem 1.2**.**
Assume that the hypotheses from Theorem 1.1 hold, together with (1.6). Additionally, assume that is continuous. Then there is a discrete set (which is empty if ) such that the resolvent for at energy with satisfies
[TABLE]
for any and .
Our proof of Theorem 1.1 employs analogous methods to the ones used in [RT15, CCV14, Vo14]. As in [Vo14], we begin by proving a global Carleman type estimate for the case , . To prove this estimate, we use a positive commutator argument based on the construction of a suitable conjugate operator as in [RT15, Section 6.1], and integration by parts. The conjugate operator is chosen carefully in order to have an estimate that is valid in any dimension , and the argument is different from [Vo14] (in fact we only become aware of the works [CCV13, CCV14, Vo14] after the main part of this paper had been written).
The commutator argument is explained in Section 2 and the proof of the Carleman estimate is given in Section 3. This estimate, stated in Lemma 2.4, would already imply (1.8) for under stronger conditions on and . Then, following [Vo14], in Section 4 we shift the previous estimate to lower index Sobolev spaces to prepare for including the low regularity term . To conclude the proof of Theorem 1.1, in Section 5 we include the short range perturbation and we extend all the a priori estimates, which hold for functions, to appropriate spaces using the Friedrichs lemma. Finally, Theorem 1.2 is proved in the last section.
Acknowledgements
C.M. was supported by Spanish government predoctoral grant BES-2015-074055 and projects MTM2014-57769-C3-1-P and MTM2017-85934-C3-3-P. L.P. and M.S. were supported by the Academy of Finland (Centre of Excellence in Inverse Modelling and Imaging, grant numbers 284715 and 309963) and by the European Research Council under Horizon 2020 (ERC CoG 770924).
2. The commutator method
We will first describe a positive commutator argument for the free resolvent following the presentation in [RT15, Section 6]. Define
[TABLE]
We will construct a first order differential operator (“conjugate operator”) such that is positive. If this is true, then for any and for any test function we have
[TABLE]
Here and below, we write and for the inner product and norm on . If is sufficiently positive so that it controls weighted versions of and , we can use Young’s inequality with in the form (also with suitable weights) to obtain a resolvent type estimate with on the right.
To motivate the choice of the conjugate operator , we note that and have principal symbols and . Notice that we are omitting summation symbols over repeated indices (we will continue to use this convention in the rest of the paper). Then the commutator has principal symbol given by the Poisson bracket
[TABLE]
We want the last quantity to be suitably positive. If we choose for some function , which happens for instance if , then where is the Hessian matrix of . Thus, if is a suitable convex function, we expect that could have the required properties.
We consider the long range magnetic perturbation , where
[TABLE]
and where and satisfy conditions (1.4).
Lemma 2.1**.**
Let be real valued, and let
[TABLE]
Let also . Then, for any one has
[TABLE]
Proof.
With the given choice of , we compute
[TABLE]
Note that for . The result follows since
[TABLE]
and
[TABLE]
Note that the left hand side of (2.2) is independent of . To describe the dependence on , we need the following lemma.
Lemma 2.2**.**
Let be real valued, and let . Then for any ,
[TABLE]
Proof.
This is a direct integration by parts:
[TABLE]
The result follows by writing in the last terms on the right. ∎
We can combine the previous lemmas with suitable choices of and to obtain an a priori estimate for the long range magnetic resolvent. We need a weight with a large positive Hessian, so that we can later absorb certain terms on the left hand side of (2.2). See Remark 2.5 below for motivation for the choice of .
Let and write . We consider a radial weight
[TABLE]
with and , for appropriate choices of and . The Hessian of satisfies
[TABLE]
We are going to choose , where . Note that the Hessian of is positive semidefinite, i.e. . Also, let us take . Writing explicitly the Hessian of in terms of the derivatives of , yields
[TABLE]
where with , so that (notice that denotes the Hessian matrix of and ). Thus, using the condition , we get
[TABLE]
We remark that, since and are increasing, all the terms in the right hand side of (2.4) are positive, except for the third one.
Lemma 2.3**.**
Let , and let , with and . Then, if we have that
[TABLE]
where , and with . Moreover, if is a multi-index such that , then
[TABLE]
Since the proof is a straightforward computation, we leave it to Appendix A. As a consequence (2.6) we get that
[TABLE]
which will be used in the proof of the following lemma. We state now the main Carleman type estimate for the long range magnetic resolvent.
Lemma 2.4**.**
Let , , and . Let and satisfy (1.9) as well as such that . Then for any ,
[TABLE]
whenever with and .
The condition is only necessary so that the right hand side of (2.8) is well defined.
Remark 2.5**.**
In [RT15, Section 6], a similar estimate is proved by using a commutator argument with the weight . To avoid problems at the origin one can use the analogous smooth weight . This weight has a positive Hessian and satisfies for , which leads to a satisfactory estimate for the long range perturbation. The same estimate can be obtained in dimension using that for this choice of weight one has , so that the bilaplacian term in (2.2) can be controlled appropriately.
Unfortunately, these weights do not allow one to later absorb a large short range (unless is continuous and is short range). To deal with the general case we want the Hessian of to be as large as needed. This motivates the choice of a weight with a large parameter . The exponential weight works satisfactorily since it has a large positive Hessian, as shown in Lemma 2.3. The main difference with [RT15, Section 6] is that now this choice leads naturally to the Carleman type estimate (2.8). This kind of estimate is in line with the results in [Vo14]. We have chosen to be bounded above and below so that the exponentials can be removed later from the estimates.
Therefore, thanks to the choice of our weight, we have the factor in the right hand side of (2.8). As we have already mentioned, this will be helpful in dealing with a general short range magnetic potential. On the other hand, the dependence on of the error term on the right hand side is not relevant because of the factor . Once the short range potentials will be introduced, we will fix the value of , and then the factor will lead to an estimate for the error term involving the whole magnetic operator, by combining Young’s inequality with the identity:
[TABLE]
3. The Long Range estimate
We now prove Lemma 2.4 using the commutator method introduced in Section 2. For the proof of this estimate, it will be useful to state the following lemma that we will prove at the end of this section.
Lemma 3.1**.**
Let . Then for any we have
[TABLE]
We can now prove estimate (2.8). The proof starts from (2.2). Basically one hopes to be able to bound the terms on the right with an appropriate norm of , or to absorb them in the left hand side using the term . We are helped by Lemma 2.2, which will be used to introduce in the left the “large” term , for suitable , and which has the appropriate dependence of the estimate with . In the estimate we need to be careful to follow the dependence of the constants on the large parameters and .
Proof of Lemma 2.4.
Notice that if (2.8) holds for one , then it also hold with the same constant for every . Therefore, without loss of generality, we consider . Then, Lemmas 2.1 and 2.3 give that
[TABLE]
Now, since is a radial function and ,
[TABLE]
where is the nonnegative part of . Hence, using that and that , we have
[TABLE]
We now apply Lemma 2.2 with . Using that , , and that the derivatives of are bounded, one can see that for suitable depending on the dimension. We use this fact in (2.3) and multiply the resulting inequality by . This yields
[TABLE]
Adding estimates (3.2) and (3.3) and moving two terms to the left hand side, we get
[TABLE]
where . Then, Lemma 3.1 and estimate (2.7) allow us to absorb the first two terms on the right into the left hand side. Thus
[TABLE]
where .
Since , the last term on the right hand side satisfies
[TABLE]
where we have used Young’s inequality and the fact that
[TABLE]
which follows by integration by parts and taking into account the inequality . This and Young’s inequality lead to the estimate
[TABLE]
where now .
Again, we estimate the last term on the right of (3.4). We have that
[TABLE]
where we have used (2.7) and that (recall that ). Then, we can apply several times Young’s inequality with suitable values of , to obtain
[TABLE]
With these choices, returning to the estimate (3.4), the terms can be cancelled out. This yields
[TABLE]
In the estimate (3.5), the last term on the right hand side still needs to be controlled. This term cannot be absorbed directly in the left hand side, since does not have any decay at infinity. We will just estimate this term in such a way that it yields the last term on the right of (2.8). Using that , Young’s inequality yields that
[TABLE]
We now estimate as follows:
[TABLE]
Taking the real part and adding and subtracting the long range potentials leads to
[TABLE]
Integrating by parts in the term , as we did previously, gives
[TABLE]
and hence, using Young’s inequality and taking , yields
[TABLE]
Inserting this in (3.6) and using that we get that
[TABLE]
Therefore, returning to (3.5) and using the previous fact together with , the resulting estimate is
[TABLE]
where . To finish, we use the fact that
[TABLE]
in the first term on the left, and we fix . Then, since , we obtain that
[TABLE]
and consequently
[TABLE]
where in the last term we have used again that . We choose now , so that , and . This yields
[TABLE]
which proves the claim. ∎
Finally, we prove the estimate (3.1). Here the long range conditions on the potentials play an essential role.
Proof of Lemma 3.1.
A direct computation shows that
[TABLE]
where is the Jacobian matrix of . We are going to use (2.6) several times. We begin by studying the first and last terms. Since , we get
[TABLE]
Also, since is radial, , which implies
[TABLE]
Let us estimate the remaining term. By the Leibniz rule we have that
[TABLE]
We expand again the last term, so that we only have terms with radial derivatives of the magnetic potential,
[TABLE]
where recall that we denote the Hessian of by . Hence, integrating by parts the first term on the right hand side of the previous two expressions yields
[TABLE]
Then, writing for an appropriate constant , one has
[TABLE]
4. Shifting the long range estimate to
Even if we have the help of the large parameters and in (2.8), we cannot introduce directly the short range potentials in the right hand side. This is due to the fact that is not necessarily an function under the condition (1.5) assumed on the potentials. That is, the short range perturbation is not bounded as an operator from to . However, it is bounded from to as it was pointed out in [Vo14]. To overcome this difficulty, we are going to derive a better version of estimate (2.8), now from to . Of course, this is not necessary when assuming the extra condition (1.6). In this case, we will just show by analogous methods that (2.8) can be improved to an estimate from to .
From now on, just to simplify notation, we switch to the conventions of semiclassical analysis.
Definition 4.1**.**
Let be a nonnegative integer. We define the space as the -Sobolev space with semiclassical parameter , equipped with the norm
[TABLE]
We also consider its dual space with norm given by
[TABLE]
where denotes the distribution duality in .
In our estimates, the semiclassical structure emerges naturally by taking , so that we now have . Also, let us write . Under this framework, (2.8) can be written as follows:
[TABLE]
where . Now we want to prove the following proposition.
Proposition 4.2**.**
Assume that all the conditions in the statement of Lemma 2.4 hold, and that . Then, for any ,
[TABLE]
whenever with , and . Here is an absolute constant.
In the remaining part of this section, to simplify further the notation, we put
[TABLE]
Recall that was defined in (2.1). To prove the estimate (4.2) in the case , instead of commuting with the operator to shift estimate (4.1) one derivative down, we follow [Vo14] and commute with a resolvent operator (in the case we only need to get an extra one derivative gain in (4.1)). In both cases, we need the following result.
Lemma 4.3**.**
Let , , , and . Consider in (4.3) , with , and independent of and such that . Then, for all we have that
[TABLE]
if and for a small .
This lemma is essentially [Vo14, Lemma 3.2]. Nonetheless, for the interested reader we give a proof in the appendix. We now prove estimate (4.2).
Proof of Proposition 4.2.
To simplify the computations, throughout this proof we denote . Now we can combine (4.1) and Lemma 4.3 to get (4.2), using that the identity
[TABLE]
holds for any . Multiplying (4.5) by the weight and taking the norm squared we have
[TABLE]
since . From here we split the proof into two cases.
Case . We have shown that (4.1) holds for . We can easily extend this estimate for . Indeed, take a sequence of functions such that in . Applying (4.1) to the , we can pass to the limit using that is bounded from to . By Lemma 4.3 with , so by the previous density argument, we can apply (4.1) to the first term of (4.6) with . Then
[TABLE]
Using that the operators and commute in the first term on the right hand side and taking small enough such that , yields
[TABLE]
Hence, applying Lemma 4.3 with , , and to each term on the right and using that in the last term, we finally obtain
[TABLE]
which combined with (4.3) yields the desired estimate.
Case . By a straightforward computation and applying Lemma 4.3 with to each term on the right of (4.6) we get
[TABLE]
Hence, using (4.1) in the first term, and taking in the second gives the desired estimate, as in the previous case. ∎
5. Absorbing the short range potentials
In this section we finally prove Theorem 1.1. The first step is to introduce the short range perturbation in (4.2). Once we have an estimate for the full operator, we can fix an appropriate value of and remove the exponential conjugation. The final step is to extend by density the resulting estimate to an appropriate functions space, so that we are not restricted to compactly supported smooth functions. Here we shall use the Friedrichs lemma. In this step we will strengthen the assumptions on the long range potentials slightly and assume that (1.4) holds. First recall that .
Proposition 5.1**.**
Let with , let , and let be such that (1.3), (1.5), and (1.9) hold. Assume also that , and . Then for any ,
[TABLE]
whenever with , , and . Moreover, under the extra assumption (1.6) the previous estimate also holds for .
Proof.
Again, we assume without loss of generality. We first consider the case . Adding and subtracting the terms with the short range perturbation in the right hand side of (4.2), we have
[TABLE]
As we mentioned previously, we can estimate the term in the norm, in fact, we have
[TABLE]
in the sense of distributions. Thus,
[TABLE]
since . Therefore, using that and , we obtain
[TABLE]
for an appropriate constant . Since , the short range conditions on the potentials guarantee that the norms appearing in the previous estimate are finite. Hence taking and to absorb the middle term on the right in the left hand side, and using that yields the desired result.
The case is even more simple since we do not need the integration by parts in (5.2) thanks to the fact that the norm is finite by (1.6). ∎
We are going to use the previous proposition to prove Theorem 1.1, but first we need a couple of lemmas. The first one is necessary control the term with the factor in (5.1).
Lemma 5.2**.**
Let , , and . Then
[TABLE]
Proof.
This follows by the symmetry of the operator . In fact, by integration by parts, , and therefore
[TABLE]
This proves the lemma. ∎
We now state the Friedrichs lemma as in [Hö83, Lemma 17.1.5] (see also [CM12, Lemma 1.5.2]). We need this result so that we can remove the restriction using a density argument.
Lemma 5.3**.**
Let and let if . If and , then
[TABLE]
We can now prove the main result in this paper.
Proof of Theorem 1.1.
Let . We fix a sufficiently large so that (5.1) holds, and choose . Next, we remove the exponentials by using that (there are some extra terms appearing in the left hand side due to the norm, but they can be absorbed easily for ). Hence the estimate
[TABLE]
holds for , depending on the conditions assumed on , and for some (also depending on the fixed ). Then, we can apply Lemma 5.2 and Young’s inequality to the first term on the right. Thus
[TABLE]
This yields the estimate
[TABLE]
This estimate holds under the assumption that . We are going to extend it for any such that . We restrict ourselves to the case of , since follows from the same arguments with minor modifications (the condition (1.6) is again essential in the case so that the short range terms are bounded in instead of just in ). Also, we now drop temporarily the semiclassical spaces since all the convergence arguments we need work independently of .
Let , where is a standard smooth mollifier, and where is a smooth cut-off function such that for and if . Let also , and . Then and we have that in as . We would like to show that in when . Notice that since the potentials are bounded, for any we have .
We decompose in a long range Hamiltonian and a short range perturbation where
[TABLE]
The perturbation is bounded from to , in fact a better estimate holds:
[TABLE]
This follows directly from the short range conditions (1.5) on and the long range conditions (1.4) on (we have already controlled the term in (5.2)). Therefore, it is enough to show that in when .
Now, let so that . Then
[TABLE]
where we have used that to get the last inequality.
By the Friedrichs lemma, commuting the convolution with the long range Hamiltonian , one gets an error term which is small in the norm as . Since
[TABLE]
we can verify this term by term. First, if (which can be assumed without loss of generality), and all its derivatives are Lipschitz functions in . As a consequence, as ,
[TABLE]
applying Lemma 5.3. To control the last two terms in the same way, we need to impose the long range conditions and on the potentials so that both and have bounded gradients in . Then, using this in (5.6) yields
[TABLE]
As a consequence, using (5.5) and (5.7) and using the fact that one has , we get that
[TABLE]
and hence in . We can use now (5.4) to conclude that when . This shows that (5.3) holds (with ) for any .
Let us introduce now the resolvent operator . Under the conditions assumed on the potentials, is self-adjoint (see Proposition A.1 in the Appendix). As a consequence is well defined for every such that and it satisfies the estimate
[TABLE]
for every . This means that , , is well defined for . Also, if the previous estimates imply that (or , if (1.6) holds). To see this, notice we have that , and since , all the terms in must have at least regularity, except perhaps for the term (for the short range perturbation see (5.4)). But since is smooth, we must also have which shows that .
Therefore we can apply (5.3) with to the function , taking , for and . With this choice of we can finally get rid of the semiclassical norm in the right hand side of (5.3), and using that , this yields
[TABLE]
for every and . This estimate is the same as (1.7), and since is dense in it can be extended for every . This is enough to finish the proof of (1.7). As mentioned previously, the proof of (1.8) from (5.3) with is completely analogous to the case . This concludes the proof of the main theorem. ∎
6. The limiting absorption principle
In this section we prove Theorem 1.2 from Theorem 1.1. The fact that one can define the resolvent as a bounded operator between the and spaces is known as the limiting absorption principle.
To define the resolvent when one needs show that the limit exists in . This follows from (1.8) if one can show that
[TABLE]
holds for and , or other analogous condition. The previous estimate is known as a Sommerfeld radiation condition, see [RT15, Zu12] for more details. In our case we do not prove a Sommerfeld radiation condition like (6.1), we use instead the limiting absorption principle already proved in [Hö83, Theorem 30.2.10]. This holds assuming that is continuous in addition to the conditions assumed in Theorem 1.1. To state Hörmander’s result we need to introduce the Agmon-Hörmander space and its dual .
[TABLE]
[TABLE]
where , for and .
Theorem 6.1**.**
[Hö83, Theorem 30.2.10]. Assume that and satisfy (1.3)–(1.6). Also, assume that is continuous. Then the eigenvalues of are of finite multiplicity, and form a set which is discrete in . Moreover, if and , then in the weak∗ topology of for every and , as in the respective complex half planes.
With this theorem we can finally define the resolvent operator in order to prove Theorem 1.2, but we would like to have convergence in the spaces. This follows from the next brief lemma.
Lemma 6.2**.**
Let be a sequence in such that in the weak∗ topology of . Then converges weakly in .
Proof.
It follows directly from the fact that (and hence that and continuously). ∎
Proof of Theorem 1.2.
By the previous lemma and Theorem 6.1 we have that, for every and , converges weakly in as . Now, let . By Theorem 1.1, we have that if , is bounded in , and the right hand side of (1.8) is independent of . Since bounded sets are precompact in the weak topology, this implies that there is a positive sequence , , such that
[TABLE]
As a consequence, . Theorem 1.1 yields directly the estimate (1.11). ∎
Appendix A
We now show that is self-adjoint with form domain . We define the sesquilinear form for and . Under these assumptions, by integration by parts one can show that
[TABLE]
Then, since , makes sense for all .
Proposition A.1**.**
Let and . Then there is a unique self-adjoint operator with form domain , such that (A.1) holds for all .
Proof.
The proof follows from [RS75, Theorem X.17]. Thanks to this theorem, it is enough to show that the form is relatively bounded with respect to the form associated to the negative Laplacian, that is . This is immediate by Young’s inequality. If , for every one has
[TABLE]
so actually the relative bound is zero. ∎
We now give the proof of a couple of auxiliary results used in the paper.
Proof of Lemma 2.3.
We have that
[TABLE]
First, we combine the first and third terms on the right hand side of (2.4) and show that
[TABLE]
for . This follows from the fact that
[TABLE]
since . Then, using (A.2) in (2.4) we obtain that
[TABLE]
Therefore, using that , and that we get
[TABLE]
This yields (2.5). (2.6) follows by direct computation. ∎
Proof of Lemma 4.3.
The proof is similar to [Vo14, Lemma 3.2]. We start by noticing that (4.4) is of Carleman type. Indeed, we define , so that we have . By the conditions assumed on and since , we have that , where the latest constant is independent of and and we assume it to be greater than . By direct computation we get
[TABLE]
where is a semiclassical first order operator defined by
[TABLE]
Using the Fourier transform, one can easily check that
[TABLE]
We also consider the resolvent identity
[TABLE]
which allows us to show that
[TABLE]
Using (A.5) and that we obtain
[TABLE]
whenever
[TABLE]
Considering cases and separately, the estimate above immediately implies the desired result by absorbing the second term on the right into the left hand side of (A.6). ∎
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