Low frequency dispersive estimates for the Schrodinger group in higher dimensions
Simon Moulin, Georgi Vodev

TL;DR
This paper establishes low frequency dispersive estimates for the Schrödinger group in higher dimensions, broadening the class of potentials for which these estimates are valid, and corrects a previous proof mistake.
Contribution
It extends dispersive estimates for the Schrödinger group to a larger class of potentials in dimensions four and above, improving prior results.
Findings
Dispersive estimates are proven for low frequency Schrödinger groups in high dimensions.
The class of admissible potentials is expanded beyond previous work.
A correction is made to a previous proof in the literature.
Abstract
We prove dispersive estimates for the low frequency part of the Schrodinger group for a large class of potentials in dimensions greater or equal to four. As a consequence, we extend the result of Journe, Sofer and Sogge to a larger class of potentials. In this revised version a mistake in the proof of the estimate (B.4) is removed.
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Taxonomy
TopicsAdvanced Mathematical Physics Problems · Mathematical Analysis and Transform Methods
Low frequency dispersive estimates for the Schrödinger
group in higher dimensions
Simon Moulin and Georgi Vodev
Abstract
For a large class of real-valued potentials, , , , we prove dispersive estimates for the low frequency part of , provided the zero is neither an eigenvalue nor a resonance of , where is the spectral projection onto the absolutely continuous spectrum of . This class includes potentials satisfying , . As a consequence, we extend the results in [4] to a larger class of potentials.
1 Introduction and statement of results
Let , , be a real-valued function satisfying
[TABLE]
with constants , . Denote by and the self-adjoint realizations of the operators and on , respectively. It is well known that the absolutely continuous spectrums of the operators and coincide with the interval , and that has no embedded strictly positive eigenvalues nor strictly positive resonances. However, may have in general a finite number of non-positive eigenvalues and that the zero may be a resonance. We will say that the zero is a regular point for if it is neither an eigenvalue nor a resonance in the sense that the operator is invertible on with a bounded inverse. Let denote the spectral projection onto the absolutely continuous spectrum of . When , Journé, Sofer and Sogge [4] proved the following dispersive estimate
[TABLE]
provided the zero is neither an eigenvalue nor a resonance, for potentials satisfying (1.1) with as well as the condition
[TABLE]
This was later improved by Yajima [9] for potentials satisfying (1.1) with . When , the estimate (1.2) in fact holds without (1.3). In this case, it was proved in [2] for potentials satisfying (1.1) with and was later improved in [6] and [10] for potentials satisfying (1.1) with . Goldberg [1] has recently showed that (1.2) holds for potentials , , which includes potentials satisfying (1.1) with . When , (1.2) is proved by Schlag [5] for potentials satisfying (1.1) with .
Given any , set , where , for , for . Set , where denotes the characteristic function of the interval . Clearly, . When , dispersive estimates with loss of derivatives for the operator , , have been recently proved in [7] under the assumption (1.1), only. The loss of derivatives in this case is a high frequency phenomenon and cannot be avoided unless one imposes some regularity condition on the potential (see [3]). The condition (1.3) in [4] plays this role but it seems too strong. The natural conjecture would be that we have dispersive estimates for with loss of derivatives, , provided (with a suitable decay at infinity). It turns out that no regularity on the potential is needed in order to get dispersive estimates for the low frequency part , small. One just needs some decay at infinity. In fact, the low frequency analysis turns out to be easier in dimensions compared with the cases of and , and can be carried out for a larger class of potentials satisfying (with some )
[TABLE]
Clearly, (1.4) is fulfilled for potentials satisfying (1.1). Our main result is the following
Theorem 1.1
Let , let satisfy (1.4) and assume that the zero is a regular point for . Then, there exists a constant so that for we have the estimate
[TABLE]
Remark 1. We expect that (1.5) holds true for the larger class of potentials satisfying
[TABLE]
but the proof in this case would require a different approach.
Combining (1.5) with the estimates of [7], we obtain the following
Theorem 1.2
Let , let satisfy (1.1) and assume that the zero is a regular point for . Then, we have the estimates, , ,
[TABLE]
[TABLE]
Remark 2. The proof in [7] is based on uniform estimates for the operator , , (see Lemma 2.2 of [7] or Lemma 2.3 of [8]). In the proof of this lemma (which is given in [8]), however, there is a mistake. That is why, we will give a new proof in Appendix 1 of the present paper.
Remark 3. We conjecture that the estimates (1.7) and (1.8) hold true for potentials satisfying (1.1) with .
Theorem 1.1 also allows to extend the results in [4] to a larger class of potentials. More precisely, we have the following
Theorem 1.3
Let , let satisfy (1.1) with as well as (1.3), and assume that the zero is a regular point for . Then, the estimate (1.2) holds true.
Theorem 1.3 follows from (1.5) and the dispersive estimate for proved in Appendix 2.
To prove (1.5) we adapt the semi-classical approach of [7] based on the semi-classical version of Duhamel’s formula (which in our case is of the form (3.4) or (3.5)). While in [7] the estimates had to be uniform with respect to the semi-classical parameter , in the case of low frequency we need to make them uniform for (see (3.1)). This, however, turns out to be easier (when ) as we can absorb the remaining terms taking big enough (see Section 3). That is why, we do not need any more to work on weighted spaces (as in [7]), which in turn allows to cover a much larger class of potentials. As mentioned in Remark 1, the natural class of potentials for which the low frequency analysis works out (for ) is given by (1.6), and the fact that the crucial Proposition 2.1 below holds true under (1.6) is a strong indication for that. In fact, (1.4) is used in the proof of Proposition 2.3, only.
2 Preliminary estimates
Let . We will first prove the following
Proposition 2.1
Let , let satisfy (1.6) and assume that the zero is a regular point for . Then, there exist positive constants and so that the following estimates hold
[TABLE]
[TABLE]
[TABLE]
where the operator
[TABLE]
is bounded by assumption.
Proof. Set . We are going to take advantage of the formula
[TABLE]
where denotes the Lebesgue measure on , is an almost analytic continuation of supported in a small complex neighbourhood of supp and satisfying
[TABLE]
For , denote
[TABLE]
The kernel of the operator is of the form , where
[TABLE]
where , , being the outgoing and incoming Henkel functions of order . It is well known that these functions satisfy the bound
[TABLE]
while near they are of the form
[TABLE]
where are analytic functions, if is odd. By (2.6) and (2.7), we have
[TABLE]
Hence, the functions satisfy the bounds (for , , )
[TABLE]
[TABLE]
Using the above bounds we will prove the following
Lemma 2.2
For , we have
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
with constants independent of and .
Proof. In view of (2.9), the norm in the LHS of (2.11) is upper bounded by
[TABLE]
[TABLE]
The estimate (2.12) follows in the same way using (2.10). To prove (2.14), we use (2.6) to get (for , )
[TABLE]
By (2.16), the norm in the LHS of (2.14) is upper bounded by
[TABLE]
[TABLE]
To prove (2.13) and (2.15), we will use the identity
[TABLE]
Observe that , which is supposed to be invertible on with a bounded inverse denoted by . Thus, it follows from (2.12) that there exists a constant so that for the operator is invertible on with an inverse satisfying
[TABLE]
with a constant independent of and . Hence, we can write
[TABLE]
Now (2.13) follows from (2.11), (2.18) and (2.19), while (2.15) follows from (2.14), (2.18) and (2.19).
Clearly, (2.1) and (2.2) follow from (2.5) and (2.14), (2.15), respectively. To prove (2.3) we rewrite the identity (2.19) in the form
[TABLE]
[TABLE]
By Lemma 2.2, (2.18) and (2.20) we conclude
[TABLE]
with constants independent of and . Now (2.3) follows from (2.5) and (2.21).
Let , on supp.
Proposition 2.3
Under the assumptions of Theorem 1.1, there exist positive constants and so that we have the estimates
[TABLE]
[TABLE]
Proof. It is shown in [7] (Section 2) that the kernel of the operator is of the form with a function satisfying
[TABLE]
[TABLE]
Hence, for all , , , , we have
[TABLE]
which together with (1.4) imply
[TABLE]
where . Clearly, (2.22) follows from (2.24). Furthermore, using (2.5), (2.13), (2.14) and (2.24), we get
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
which clearly implies (2.23).
3 Proof of Theorem 1.1
Denote
[TABLE]
being given by (2.4). We will first show that (1.5) follows from the following
Proposition 3.1
Under the assumptions of Theorem 1.1, there exist positive constants , and so that for we have
[TABLE]
Recall that , small. Then we can write the function as follows
[TABLE]
where . Thus, we obtain from (3.1),
[TABLE]
[TABLE]
provided is taken small enough. Clearly, (1.5) follows from (3.2).
Proof of Proposition 3.1. We will first prove the following
Proposition 3.2
Under the assumptions of Theorem 1.1, there exist positive constants , and so that for we have
[TABLE]
Proof. Using Duhamel’s formula
[TABLE]
we get the identity
[TABLE]
[TABLE]
Using Propositions 2.1 and 2.3, (3.4) together with Young’s inequality we obtain
[TABLE]
[TABLE]
[TABLE]
which clearly implies (3.3) if we take large enough.
Using Duhamel’s formula
[TABLE]
we get the identity
[TABLE]
where
[TABLE]
[TABLE]
By (2.1) and (2.3) together with the well known estimate
[TABLE]
we get
[TABLE]
By Propositions 2.3 and 3.2, , , we have
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Combining (3.5), (3.6) and (3.7), we conclude, , ,
[TABLE]
[TABLE]
Taking big enough we can absorb the second and the third terms in the RHS of (3.8), thus obtaining (3.1). Clearly, the case of can be treated in the same way.
Appendix A Appendix 1
We will prove the following
Lemma A.1
Let . Then, for all , , we have the estimates
[TABLE]
[TABLE]
where the constant is of the form
[TABLE]
with some integer independent of and a constant depending on the support of , only. Furthermore, if satisfies (1.1) with , we have the estimates (for )
[TABLE]
[TABLE]
Proof. The estimate (A.1) is proved in Section 2 using the formula (2.5) and (2.14). It can be also seen by using the fact that the kernel of the operator is of the form with a function satisfying
[TABLE]
[TABLE]
for all integers , with a constant of the form
[TABLE]
where is some integer independent of , while depends on the support of . By Young’s inequality, the norm in the LHS of (A.1) is upper bounded by
[TABLE]
The norm in the LHS of (A.2) is upper bounded by
[TABLE]
[TABLE]
[TABLE]
where is some integer depending on and . To prove (A.4) observe that by (2.5) we have
[TABLE]
Clearly, (A.4) would follow from (A.9), (2.14) and the estimate (for )
[TABLE]
Let be such that . Given a parameter , we decompose the free resolvent as follows
[TABLE]
where
[TABLE]
[TABLE]
where
[TABLE]
It is easy to see that there exist constants so that the function satisfies the following bounds
[TABLE]
[TABLE]
[TABLE]
for every integer . By (A.1), (A.3) and (A.12), we have
[TABLE]
provided is taken small enough. We deduce from (A.15),
[TABLE]
with a constant independent of , and . By (A.2), (A.3), (A.12)-(A.14), we have
[TABLE]
with constants independent of , , and . We deduce from (A.17),
[TABLE]
[TABLE]
with a constant independent of and . It follows from (A.16) that the operator is invertible on , provided is taken small enough, independent of . Therefore, we can write the identity
[TABLE]
in the form
[TABLE]
where the operators
[TABLE]
[TABLE]
satisfy the estimates
[TABLE]
[TABLE]
By (A.20) we have
[TABLE]
[TABLE]
[TABLE]
for every integer . By (A.22) and (2.14), we obtain
[TABLE]
[TABLE]
[TABLE]
Now, (A.10) follows from (A.21), (A.23) and (A.24).
To prove (A.5) we rewrite (A.20) in the form
[TABLE]
where
[TABLE]
[TABLE]
[TABLE]
It is easy to see that we have the estimate
[TABLE]
for every with constants depending on but independent of and . By (A.18) and (A.26),
[TABLE]
Observe now that we can write the operator in the form
[TABLE]
where
[TABLE]
Similarly, we can decompose the operator as , where
[TABLE]
[TABLE]
Taking small enough we can arrange that suppsupp, , so the operator-valued functions and are analytic on supp. Therefore, we can write (A.9) in the form
[TABLE]
where
[TABLE]
By (A.17) (with ), we have
[TABLE]
[TABLE]
Now (A.5) follows from (A.27)-(A.29).
Appendix B Appendix 2
Combining some ideas from [6],[7] and [4] we will prove the following
Theorem B.1
Let , let satisfy (1.1) with as well as (1.3). Then, for every we have the estimate
[TABLE]
Remark. Note that (B.1) is proved in [4] for potentials satisfying (1.1) with , the condition (1.3) as well as an extra technical assumption. Here we eliminate this extra assumption.
Proof. The key point in the proof in [4] is the bound
[TABLE]
Combining (B.2) with Duhamel’s formula one easily gets
[TABLE]
with a constant independent of . In what follows we will derive (B.1) from (B.2) and (B.3). To this end, given a function and a parameter , as in [6], [7], denote
[TABLE]
[TABLE]
As in these papers, it is easy to see that (B.1) follows from the following
Theorem B.2
Under the assumptions of Theorem B.1, there exist constants so that we have the estimates (for , )
[TABLE]
[TABLE]
Proof. Clearly, (B.4) follows from (B.2) for . Let . Without loss of generality we may suppose . Write , where
[TABLE]
[TABLE]
It follows from (B.2) that satisfies (B.4). To deal with the operator , observe that its kernel is of the form
[TABLE]
where is a constant and
[TABLE]
To prove that satisfies (B.4), it suffices to show that
[TABLE]
To do so, observe that
[TABLE]
where
[TABLE]
It is easy to see that (B.6) follows from (B.7) and the bound
[TABLE]
To prove (B.8), we make a change of variables and write the function in the form
[TABLE]
where
[TABLE]
We have
[TABLE]
Furthermore, observe that
[TABLE]
so vanishes at . We will consider now two cases.
Case 1. . Then, we have
[TABLE]
Therefore, integrating by parts, we obtain
[TABLE]
[TABLE]
where
[TABLE]
[TABLE]
Since
[TABLE]
we have (for )
[TABLE]
By (B.10) and (B.11),
[TABLE]
Clearly, in this case (B.8) follows from (B.9) and (B.12).
Case 2. . Denote . We write the function as , where
[TABLE]
where we have made a change of variables , , ,
[TABLE]
[TABLE]
uniformly in . It is easy to see that we have the estimate
[TABLE]
Indeed, the functions and are analytic in with bounded there uniformly in . Therefore, we can change the contour of integration to obtain (with some )
[TABLE]
[TABLE]
with some constants . By (B.13) and (B.14) we conclude
[TABLE]
On the other hand, if , then
[TABLE]
so we can bound from below . Therefore, the function can be treated in the same way as does in Case 1. Thus, satisfies (B.8) and hence, in view of (B.15), so does . This completes the proof of (B.4).
It suffices to prove (B.5) for with some constant , since for it follows from (B.4) and the estimate of the norm of proved in [7] for the larger class of potentials satisfying (1.1) with (without using (1.3)). Without loss of generality we may suppose . Now, using Duhamel’s formula as in [6], [7] we get the identity
[TABLE]
where
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
where , on supp, and is a parameter to be fixed later on, depending on . In view of (A.4), we have
[TABLE]
By (B.2) and (B.3),
[TABLE]
with a constant independent of , and .
Proposition B.3
Let satisfy (1.1) with . Then, there exist constants so that for , , we have the estimate
[TABLE]
Proof. We will make use of the following estimates proved in [7].
Proposition B.4
Let satisfy (1.1) with . Then, for every , , , , we have the estimates
[TABLE]
[TABLE]
By (B.20) and (B.21), we get (with some )
[TABLE]
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Proposition B.5
Let satisfy (1.1) with . Then, for every , , , we have the estimate
[TABLE]
Proof. We will make use of the fact that the kernel of the operator is of the form , where
[TABLE]
where , is the Bessel function of order . So, the kernel of the operator is of the form
[TABLE]
where
[TABLE]
[TABLE]
where is defined by replacing in the definition of the function by . It is easy to see that (B.22) follows from the bound (for all , , , , )
[TABLE]
In view of (B.24), it suffices to prove (B.25) with . Now, observe that , where
[TABLE]
[TABLE]
where the function
[TABLE]
satisfies the bound
[TABLE]
Given any integers , since as , we can integrate by parts to get
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Using the inequality
[TABLE]
we obtain (for )
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Recall now that the function is of the form , where are symbols of order for , while near the function is equal to times an analytic function. Therefore, it satisfies the bounds
[TABLE]
[TABLE]
Moreover, the functions are of the form (near )
[TABLE]
where are analytic functions, if is odd. Therefore, we have
[TABLE]
[TABLE]
[TABLE]
which imply
[TABLE]
[TABLE]
[TABLE]
Set
[TABLE]
[TABLE]
By (B.26), (B.30)-(B.34), we have (with )
[TABLE]
[TABLE]
[TABLE]
[TABLE]
Using the inequality
[TABLE]
we obtain from (B.28) and (B.35) (if )
[TABLE]
[TABLE]
[TABLE]
[TABLE]
where we have made a change of variables . Similarly, by (B.29) and (B.36), we get (if )
[TABLE]
[TABLE]
[TABLE]
[TABLE]
We would like to apply (B.37) and (B.38) with , , . To this end, we need to show that these estimates are valid for all real , if is even, and for and all real if is odd. This can be done by interpolation as follows. Let , for , for . Decompose as , , where and are defined by replacing in the definition of the function by and , respectively. Clearly, the functions satisfy (B.37) and (B.38), respectively, for all integers , while the functions satisfy (B.37) and (B.38) for all integers , , respectively. When is odd, this is fulfilled with . To show this in the case of even , we write the function as
[TABLE]
with some function , in a neighbourhood of . Thus,
[TABLE]
where is defined by replacing in the definition of the function by . As above, one can see that the functions , , satisfy (B.37) and (B.38), respectively, with an extra factor in the RHS of the form for all integers , and hence, by interpolation, for all real . Therefore, summing up these estimates we conclude that , , satisfy (B.37) and (B.38), respectively, for all real , and in particular for . Hence, so do the functions . Furthermore, satisfies (B.37) for all integers , and hence, by interpolation, for all real if is odd, and for all real if is even. In particular, this is valid with . To show that the function satisfies (B.38) with , we decompose it as , where and are defined by replacing in the definition of the function by and , respectively. Clearly, the function satisfies (B.37) for all integers , and hence, by interpolation, for all real if is odd, and for all real if is even. To deal with the function , we write the function as
[TABLE]
with some function , in a neighbourhood of . Thus,
[TABLE]
where is defined by replacing in the definition of the function by . Now, the functions satisfy (B.38) with an extra factor in the RHS of the form for all integers , and hence, by interpolation, for all real if is odd, and for all real if is even. Therefore, summing up these estimates we conclude that satisfies (B.38) for all real if is odd, and for all real if is even. In particular, this is valid with .
By (B.37) and (B.38) with , , we obtain
[TABLE]
[TABLE]
[TABLE]
[TABLE]
which is the desired bound.
Taking with a suitably chosen constant , we deduce from (B.4), (B.16)-(B.19) and (B.22),
[TABLE]
[TABLE]
with some constant . Taking small enough, we can absorb the second term in the RHS of (B.39), thus obtaining (B.5).
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 3[3] M. Goldberg and M. Visan , A conterexample to dispersive estimates for Schrödinger operators in higher dimensions , Commun. Math. Phys. 266 (2006), 211-238.
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- 5[5] W. Schlag , Dispersive estimates for Schrödinger operators in two dimensions , Commun. Math. Phys. 257 (2005), 87-117.
- 6[6] G. Vodev , Dispersive estimates of solutions to the Schrödinger equation , Ann. H. Poincaré 6 (2005), 1179-1196.
- 7[7] G. Vodev , Dispersive estimates of solutions to the Schrödinger equation in dimensions n ≥ 4 𝑛 4 n\geq 4 , Asymptot. Anal. 49 (2006), 61-86.
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