estimates for Schrödinger equation in the region above a convex graph
Abstract
We investigate the estimates of the Neumann problem for the Schrödinger equation in the region above a convex graph. For any , we obtain a sufficient condition for the solvability. As a result, we obtain sharp estimate
for with under the assumption that is a weight.
1 Introduction
The purpose of this paper is to establish solvability for Schrödinger operator in the region above a convex graph. Precisely, let
where is a convex function with . For and , we consider the Schrödinger equation
(1.1) |
Following the tradition and physical significance, is referred to be the electric potential. Throughout this paper, we assume that , i.e., , and there exists a constant such that, for all ball
(1.2) |
Examples of weights are with .
To state the main result of the paper, let denote the outward unit normal to and with and denote the Besov spaces on .
Theorem 1.1.
Remark 1.2.
The range of is sharp even for the Laplacian.
The estimates for inhomogeneous equation in bounded non-smooth domains have been studied extensively. Indeed, it has been known since the 1990s that the Dirichlet problem and the Neumann problem is solvable in bounded Lipschitz domains for when where depends on . For a general second order elliptic equation with coefficients belonging to , estimates are reduced to the weak reverse Hölder estimates for local solutions and are established for when . And the ranges of are sharp (see [8, 16, 11, 23]; also see [2, 3, 4, 5, 6, 7] for references on related work on boundary value problems in bounded Lipschitz domains or Reifenberg flat domains). It is worth noting that for every and there is a Lipschitz domain such that cannot belong to even if the right side is in . If a slightly stronger smoothness condition is imposed, that is a bounded convex domain, the solvability was essentially established in [12] for the sharp range . Regarding the convexity of , with the analysis tools developed in [13] at disposal, the weak reverse Hölder inequality
(1.4) |
which is the sufficient condition to the estimate is established.
For Schrödinger equations, Z. Shen [19] obtained the estimate for Dirichlet problems for when , and when if is a bounded Lipschitz domain and for if is a bounded domain under the assumption that the potential is positive and bounded. In the region above a Lipschitz graph, Z. Shen [20] established the solvability for the Neumann problem and the Dirichlet problem if . The solvability is formulated in forthcoming paper [14]. One may notice that the region above a Lipschitz graph maybe unbounded, and results in bounded domains do not work. And it worthwhile to flagged up that, in [20], by the decay of solutions at infinity and the limit , the results in can be extended to . We remark that in [21], Z. Shen established where and for in with . More related work about the Schrödinger operator refers to [1, 17, 18, 22].
Motivated by [12, 20], we extend the results to the Schrödinger operator in the region above a convex graph. Our proof to Theorem 1.1 follows the approach in [11]. Employing a real-variable perturbation argument and John-Nirenberg inequality, we give a sufficient condition for estimates for weak solutions of (1.1) with . Roughly speaking, we prove that for , if the reverse Hölder’s inequality
(1.5) |
holds for the solutions of in and on , then the estimate is established. Following similar line of [13], we demonstrate the condition (1.5) by the improved Fefferman-Phong inequality, the estimates for the Fefferman-Phong-Shen maximal function as well as the convexity of . For the case of , duality arguments and the estimates for the Neumann functions
and
play significant roles.
The present paper can be split into three portions. In the first part, we collect some known results for the Fefferman-Phong-Shen maximal function, boundary estimate and estimate for the Neumann function. The second portion presents a sufficient condition of estimate for . Last segment is devoted to prove estimate for .
We end this section with some notations. We will use to denote the average of over the set ; i.e.
Let denote the sphere centered at with radius . Denote and . For large sufficiently, let
where is the convex function.
2 Preliminaries
We first note that is a weight, defined by Franchi [10, p.153]. Then the measure is doubling, i.e., there exists such that for any ball in ,
(2.1) |
Let
for , then the Fefferman-Phong-Shen maximal function is defined as
(2.2) |
Several conclusions from [20] and [21] will be quoted in this section. These lemmas and definitions are related to the concepts of Fefferman and Phong discussed in [9]. We list some of them below.
Proposition 2.1.
If satisfies (1.2), then for a.e. ,
Proof.
See [20]. ∎
Proposition 2.2.
Lemma 2.3.
There exist and depending only on and the constant in (1.2), such that for in ,
(2.3) | ||||
(2.4) |
Proof.
See [20]. ∎
Next we shall introduce the Fefferman-Phong type inequality.
Lemma 2.4.
Let . Assume satisfies (1.2). Then
(2.5) |
Proof.
Lemma 2.5.
Let . Assume is an weight. Then for and ,
Proof.
See [1, Lemma 2.1]. ∎
We end this section with a boundary estimate and the estimate for the Neumann function.
Lemma 2.6.
Suppose a.e. in . Suppose in , on and for some and . Then
for any integer .
Proof.
See [20, Lemma 1.12]. ∎
Let denote the fundamental solution of the Schrödinger operator in . Fix , let be the solution of in with Neumann data . Let Then we have the following estimate.
Lemma 2.7.
For any ,
(2.6) |
where is an arbitrary integer.
Proof.
See [20, Lemma 1.21]. ∎
3 A sufficient condition
The following theorem is a refined real variable argument which established in [24, Theorem 3.2] (see also [25, Theorem 4.2.3]) and can be seen as a duality argument of the Calderón-Zygmund decomposition. With this, the estimates follow from the locally weak reverse Hölder inequality.
Theorem 3.1.
Let be a bounded Lipschitz domain and . Let and for some . Suppose that for each ball with , there exist , on such that on ,
(3.1) |
and
(3.2) |
where and . Then, if , we have
(3.3) |
where depends only on .
Proof.
See [12, Theorem 2.1]. ∎
With the real variable method at disposal, we give the sufficient condition.
Theorem 3.2.
Let . Suppose a.e. in . Assume that for any ball with the property that either or for large, the weak reverse Hölder inequality
(3.4) |
holds, whenever satisfies in and on . Let be a weak solution of (1.1) with and . Then and
(3.5) |
with constant depending only on and the Lipschitz character of .
Proof.
For large sufficiently, let
By taking the limit , it suffices for us to show
(3.6) |
where
(3.7) |
Given any ball satisfying and either or centers on , we set a cut-off function such that in and outside . Let be the solution of
(3.8) |
Let and , then
(3.9) |
To apply Theorem 3.1, let and , Thus . Then it follows from integration by parts to (3.8) that
Claim that the weak reverse Hölder inequality
(3.10) |
holds for a moment, and we obtain
Hence by Theorem 3.1 and the self-improving property of the reverse Hölder condition
(3.11) |
This, combining with integration by parts as well as Hölder’s inequality, gives (3.6). ∎
To establish the reverse Hölder inequality, we need an auxiliary lemma as follows.
Lemma 3.3.
Suppose and is the region above a convex graph in with boundary. Assume is a weak solution of in and on . Then for and ,
(3.12) |
where .
Proof.
Fix , for let be continuous so that
It follows from integration by parts that
where denotes the -dimensional Hausdorff measure. Let denote the second fundamental quadratic form of (see [15, pp.133-134]). The convexity , gives that
(3.13) | ||||
where and Cauchy’s inequality was also used. Take in (3.13) where such that in and . It is easy to verify
and
Note that
and
By using the co-area formula repeatedly, we have
where . Taking , we obtain that for ,
(3.14) |
where Lebesgue’s differentiation theorem is also used.
Without loss of generality, assume that is bounded from below by a positive constant. Multiplying both sides of (3.14) by and integrating the resulting inequality in over , we obtain that for ,
where the co-area formula and the Cauchy’s inequality are used. Then by Poincaré inequality,
(3.15) |
where . Using Hölder’s inequality, we obtain for ,
(3.16) |
where . Choose so that and let . A direct computation leads and (3.12). This completes the proof. ∎
Theorem 3.4.
Proof.
Denote . With Lemma 3.3 at disposal, we obtain that for all and ,
Using Lemma 2.6 and (1.2), we have
If , it follows from Lemma 2.5 and Hölder’s inequality that for ,
In the case of , it follows from Proposition 2.2 and Lemma 2.5 that
if we choose . This gives
and in similar manner,
By a iteration and the self-improvement, we have for
(3.17) |
∎
4 Duality argument
Lemma 4.1.
Proof.
Theorem 3.4, together with Theorem 3.2, gives that and that for any ,
(4.2) |
Let and be a weak solution of in and on . Suppose are conjugate. The weak formulations of variational solution of and imply that
(4.3) |
where Hölder’s inequality and (4.2) are also used. This gives that for
(4.4) |
and thus (4.1) holds for all in the region above a convex graph. ∎
Lemma 4.2.
Proof.
Finally we are in a position to give the proof of Theorem 1.1.
Proof of Theorem 1.1.
It follows directly from Lemma 4.1 and Lemma 4.2 that
for . Next, to show
(4.8) |
decompose where are weak solutions of
It follows from the Poisson representation formula and integration by parts that
By Hölder’s inequality we have
(4.9) |
where . Fix . Let and . It follows from (2.6) and Caccippoli’s inequality that
(4.10) | ||||
where Hölder’s inequality was also used in the first inequality. Taking , we have
This combining with Proposition 2.1 gives that
For fixed , Let and . Together Lemma 2.3 with (4.10) yields that
where is chosen to be in the second inequality. Thus we have
(4.11) |
which implies for ,
(4.12) |
Let and solves
Then as in (4.6)
By a duality argument, it suffices to show that
(4.13) |
To show (4.13), note that
(4.14) | ||||
A similar computation as (4.11) shows
(4.15) |
Plugging (4.11) and (4.15) into (4.14) gives that
The uniqueness for and follows from the uniqueness for and the duality argument. And a limit argument leads the existence. ∎
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Ziyi Xu, School of Mathematics and Statistics, Lanzhou University, Lanzhou, P.R. China.
E-mail: 120220907780@lzu.edu.cn