The Leibniz rule for the Dirichlet and the Neumann Laplacian
Tsukasa Iwabuchi

TL;DR
This paper investigates bilinear estimates in Sobolev spaces for Dirichlet and Neumann Laplacians, revealing optimal regularity conditions in half spaces and emphasizing boundary behavior's role in these estimates.
Contribution
It establishes the optimal regularity for bilinear estimates involving Dirichlet and Neumann Laplacians in half spaces, focusing on boundary value handling.
Findings
Optimal regularity conditions identified for bilinear estimates
Boundary behavior significantly influences estimate accuracy
Method developed for boundary value management in Sobolev spaces
Abstract
We study the bilinear estimates in the Sobolev spaces with the Dirichlet and the Neumann boundary condition. The optimal regularity is revealed to get such estimates in the half space case, which is related to not only smoothness of functions and but also boundary behavior. The crucial point for the proof is how to handle boundary values of functions and their derivatives.
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Nonlinear Partial Differential Equations · Advanced Numerical Methods in Computational Mathematics
The Leibniz rule for the Dirichlet and the Neumann Laplacian
000 Mathematics Subject Classification (2010): Primary 46E35; Secondary 42B35, 42B37. Keywords: Bilinear estimates, Fractional Laplacian, Dirichlet Laplacian, Neumann Laplacian, Sobolev spaces, Besov spaces E-mail: [email protected]
Tsukasa Iwabuchi
Mathematical Institute, Tohoku University
Sendai 980-8578 Japan
Abstract. We study the bilinear estimates in the Sobolev spaces with the Dirichlet and the Neumann boundary condition. The optimal regularity is revealed to get such estimates in the half space case, which is related to not only smoothness of functions and but also boundary behavior. The crucial point for the proof is how to handle boundary values of functions and their derivatives.
1. Introduction
We study the bilinear estimates of the form
[TABLE]
where and () satisfy . The domain is the half space , and satisfy the boundary condition of either Dirichlet or Neumann type. Such inequalities for the Besov spaces are also studied.
The basis of the proof of the bilinear estimates is by applying the Leibniz rule and the Hölder inequality. This argument works in the classical Sobolev spaces (), where is an arbitrary domain. In the case when , such estimates for all regularity is well-known. Classical proof of the bilinear estimates for homogeneous spaces can be found in papers by Grafakos and Si [GS-2012], Tomita [Tomi-2010], and it is also proved by the commutator estimates called Kato-Ponce’s inequality (see a paper by Kato and Ponce [KaPo-1988]). We also refer a book by Runst and Sickel [RuSi_1996] on the detailed analysis of multi-linear estimates, and a recent paper by Fujiwara, Georgiev and Ozawa [FGO-2018] who treated higher order fractional Leibniz rule. However, when one considers fractional Laplacian on domains, there arises difficulty due to how to define fractional power and how to handle boundary behavior of functions. In general domains, we refer to a paper [IMT-preprint3] which studies the bilinear estimates in Besov spaces associated with the Dirichlet Laplacian with the regularity by means of the gradient estimates for the heat equation in . The exterior domainn case is discussed in a paper [GeTa-2019]. We also refer to several papers by Di Nezza, Palatucci and Valdinoci [DiPaVa-2012], and Tartar [Tar-2010] for fractional Sobolev spaces on domains.
In this paper we study in function spaces associated with the Dirichlet and the Neumann Laplacian in the half space. The reason of adapting the half space in this paper is just for the sake of simplicity to understand the behavior near the boundary clearly, and the obtained result would be able to be applied to other domains. We will understand a reasonable regularity for obtaining the bilinear estimates by revealing a roll of derivative perpendicular to the boundary.
Let , be the Dirichlet Laplacian , the Neumann Laplacian , respectively. We should note that can be realized as operators on initially, they are regarded as ones of Besov spaces and some spaces of distributions by utilizing the uniform boundedness of spectral multipliers in with respect to . Furthermore, the fractional power of can be defined. We refer to related papers [DOS-2002, IMT-RMI, IMT-preprint] for boundedness of spectral multipliers, [IMT-preprint2] for defining Besov spaces, and [Iw-2018] for the fractional Laplacian.
Let us define spaces of test function spaces, Sobolev spaces and Besov spaces following the argument [IMT-preprint2] (see also [Tanig] for the Neumann case), which are well-defined since and satisfies the Gaussian upper bounds. The important point there is how to define test function spaces, which can give theory of function spaces. We take a non-negative function on such that
[TABLE]
and is defined by letting
[TABLE]
Let be a non-negative function such that
[TABLE]
**Definition (Test function spaces and distributions). ** *Let or .
(i) (Linear topological spaces and ) is defined by*
[TABLE]
equipped with the family of semi-norms given by
[TABLE]
and denotes the topological dual of .
(ii)* *(Linear topological spaces and ) is defined by
[TABLE]
equipped with the family of semi-norms given by
[TABLE]
*and denotes the topological dual of . *
**Definition (Besov spaces). ** *Let or , and .
(i) is defined by*
[TABLE]
where
[TABLE]
(ii)* is defined by*
[TABLE]
where
[TABLE]
We can also define Sobolev spaces, which were not discussed in [IMT-preprint2] (see the well-definedness in section 6).
**Definition. ** *Let or , and .
(i) is defined by*
[TABLE]
(ii)* is defined by*
[TABLE]
We start by studying derivative operators of the normal direction on the boundary (see [Iw-2018-2] for the one dimensional case) and derivatives of the other directions.
**Definition (Derivatives in the sense of distributions). **
- (i)
For any , we define as an element of by
[TABLE]
For any , we define as an element of by
[TABLE] 2. (ii)
For any , we define as an element of by
[TABLE]
For any , we define as an element of by
[TABLE] 3. (iii)
Let , or , or . For , we define as an element of by
[TABLE]
Theorem 1.1**.**
Let and .
- (i)
* are continuous operators from the spaces with the Dirichlet condition , , , to those with the Neumann condition , , , , respectively.* 2. (ii)
* defines a continuous linear operator from to and*
[TABLE]
The same assertion holds for the Besov spaces , instead of , , respectively, and for the Sobolev and the Besov spaces of inhomogeneous type, where for the Sobolev spaces. 3. (iii)
The above assertions (i) and (ii) also hold by replacing and with each other. 4. (iv)
Let , or . Then derivative operators are continuous operators from the spaces , , , to themselves and
[TABLE]
where for the Sobolev spaces. The same assertion holds for the spaces of inhomogeneous type.
By the above theorem, one can understand that changes boundary condition of functions essentially while the others () do not.
Let us turn to the bilinear estimates. Before stating results, we mention a problem to get higher regularity of products of functions satisfying the Dirichlet and the Neumann boundary condition. If the Dirichlet Laplacian acts on a product for having the Dirichlet boundary condition, one has
[TABLE]
and the first and the third term also satisfy the Dirichlet condition but should have non-zero value on the boundary in general. Hence the regularity case contains an important point, and such problem can be found in the Neumann case. However, we will have a restriction of regularity only for the Dirichlet case and the estimates without restriction for the Neumann case. The following is our main theorem.
Theorem 1.2**.**
Suppose that satisfy
[TABLE]
(i)* (Dirichlet case) Let . Then there exists such that for any , *
[TABLE]
(ii)* (Neumann case) Let . Then there exists such that for any , *
[TABLE]
(iii)* The corresponding assertion to (i) and (ii) in the inhomogeneous Sobolev spaces hold.*
Theorem 1.3**.**
Suppose that . Then the bilinear estimate (1.3) of the Dirichlet case does not hold.
The result in the Besov spaces also holds.
Theorem 1.4**.**
Suppose that satisfy
[TABLE]
Let be as in Theorem 1.2. Then the corresponding bilinear estimates in , , , hold, respectively, by replacing the Sobolev spaces with the Besov spaces which have the interpolation index . Furthermore, if or with , the bilinear estimate does not hold for the Dirichlet case.
Let us mention multi-linear case. There is no restriction of the regularity for the Neumann case which leads to estimates for products of any number of functions. On the other hand, is optimal for the Dirichlet case. Nevertheless, we can show a positive result of some of multi-linear estimates for the Dirichlet case. Let us state a result for a trilinear inequality as a simplest case.
Corollaly 1.5**.**
Let , () be such that
[TABLE]
[TABLE]
Then there exists such that
[TABLE]
**Remark. ** One can understand from the proof of Corollary 1.5 (see also (4.7)) that the multi-linear estimates hold for the product of functions of odd numbers but restriction of the regularity appears for the product of even numbers.
Let us give comments about that behavior of functions away from the boundary is handled similarly to the case , but the main subject is around boundary. The cruicial point for the Dirichlet case is: The regularity is critical so that functions for satisfying the Dirichlet condition belong to . We also notice that is related to considering retractions (see page 220 in a book by Triebel [Triebel_1978]). This applied to leads to reach at the regularity number in Theorem 1.2. It is characteristic of the two theorems that breaks down the bilinear estimates in Theorem 1.2 (i) for , while is dense in the Sobolev space with defined by the restriction of functions on to . Here we mention a paper by Killip, Visan and Zhang [KVZ-2016], where the case when is studied for exterior domains. They obtained the bilinear estimates for , showing that the equivalence of and for , where is the Dirichlet Laplacian on , is the Laplacian on . Here it would be reasonable to conjecture that: * is the universal upper bound for the bilinear estimate (1.3) for the Dirichlet case in any domain. *
It would be plausible that the optimality of is due to the high spectral component affecting the local behavior of functions around the boundary. As for the low spectrum, which is essetial for the homogeneous spaces, it depends on domains. The bounded domain case has no restriction, but the possible regularity in the exterior domain case is restricted to smaller range because of the slower decay of gradient estimates for the heat kernel (see papers [GeTa-2019, IshiKabe-2007]).
In contrast, the situation is quite different for the Neumann condition in spite of that each of for with the Neumann condition can not expected to satisfy again the Neumann condition. The reason is due to that , satisfy the Dirichlet condition, which give the Neumann condition for the product , and hence, we could expect no restriction of the regularity for the bilinear estimates.
This paper is organized as follows. In section 2, we prepare some important estimates and relations between two cases of and in the Sobolev and the Besov spaces. In section 3, Theorem 1.1 is proved. Section 4 is devoted to proving bilinear and trilinear estimates of Theorems 1.2, 1.4 and Corollary 1.5. In section 5, counterexamples in Theorem 1.3 will be given.
**Notations. ** Upper and lower half spaces are written as , . We often write as , where . The fractional Laplacian in is written as
[TABLE]
denotes the outer unit normal vector on the boundary . We often omit the domain in the norm of , and write clearly, more concretely,
[TABLE]
For any function on , let be odd, even extention of with respect to component, respectively, namely,
[TABLE]
2. Preliminary
We prepare useful lemmas to prove our theorems in this section. Let us start by enumerating known facts; The boundedness of the Riesz transformation in (see e.g. a book by Stein [Stein_1970]), the real interpolation of the Sobolev spaces and the Besov spaces (see [BL_1976, Iw-2018, Triebel_1983]). Then we will state lemmas which are fundamental for our proof.
Lemma 2.1**.**
(i)* (Boundedness of Riesz transform) Let . Then a constant exists such that*
[TABLE]
(ii)* (Real interpolation) Let , and . Assume that and . Then*
[TABLE]
where , , , , respectively.
Lemma 2.2**.**
Let and . Then, if and only if . Also, if and only if . Furthermore,
[TABLE]
**Proof. ** We consider the Dirichlet case only, since the Neumann case follows analogously by using even extention instead of odd one.
We start by proving in the case when . Let for and . Since the kernel of is given by the difference of , we write
[TABLE]
and
[TABLE]
which implies that and are equivalent, .
Let us consider the case when . For with , we can see that , is given by the odd extention of and , since for any
[TABLE]
the first two terms in the right hand side are zero thanks to vanishing at and even property of and the integrals of on are justified by the well-definedness of the trace operators of on with value in for with . Hence, implies that
[TABLE]
which proves , since is an odd function. Conversely, let . Here implies the well-definedness of the trace operator of , which implies for almost every by using the equality (2.1). Now, by applying the result in the case when proved above to a function , we get the equivalence of and . Therefore we have that gives .
By the above argument together with the induction, we get the result for for any even number , which completes the proof.
Lemma 2.3**.**
Suppose , . Let denote the characteristic function on . Then there exists such that for any
[TABLE]
[TABLE]
Let be a function on . Then and enjoy
[TABLE]
**Proof. ** For with , for and for , put
[TABLE]
Let us start by proving the uniform boundedness with respect to ,
[TABLE]
By Bony’s paraproduct formula (see [Bo-1981]), we consider the frequency decomposition
[TABLE]
where the first one has component such that frequency of higher than or comparable with that of , and the second one has the other such that frequency of lower than that of . Then applying the bilinear estimate in the Sobolev spaces in to the first term gives that
[TABLE]
since has higher frequency than that of . As for the second term, applying the bilinear estimate in the Sobolev spaces for the component with indices and such that , , and the embedding give that
[TABLE]
Here it should be noted that when we apply the bilinear estimate above, the frequency of is restricted to direction, since have only the frequency component for and its frequency higher than , and implies . By applying the Fourier multiplier theorem to a Fourier multiplier , we have
[TABLE]
which completes the proof of (2.5). Since is a reflexive Banach space and converges to weakly in as , we obtain
[TABLE]
by taking a subsequence of if necessary, which proves (2.2). The inequality (2.3) follows from and (2.2). The last inequalities (2.4) are obtained by and (2.2).
Lemma 2.4**.**
Let , , . Then
[TABLE]
provided that the left hand sides are finite, respectively. Let , . Then
[TABLE]
provided that the left hand sides are finite, respectively.
**Proof. ** We start by proving the first inequality of (2.7). Let , which also satisfies by Lemma 2.2. Firstly, since and the boundedness of the Riesz transform give , we can see that the trace of in makes sense by the trace theorem (see e.g. [Triebel_1978]). Observe which is assured by
[TABLE]
Here we should note that the above integrals on is zero, since this is justified by the well-definedness of the trace operator of with value in . Lemma 2.2 and the boundedness of Riesz transform imply
[TABLE]
which proves the first inequality of (2.7). The second one follows analogously. In fact, let which also satisfies , and the trace of with value in makes sense. Furthermore, the trace of is zero, since odd function is zero on . Observe which is assured by
[TABLE]
where the integrals on vanishes thanks to the trace of is zero. Therefore, we obtain
[TABLE]
which proves the first inequality of (2.7).
We turn to prove the second one (2.8). It follows from (2.4) that
[TABLE]
These inequalities for and the similar argument to prove (2.7) give that
[TABLE]
[TABLE]
which proves (2.8).
Lemma 2.5**.**
Let and . Then
[TABLE]
for .
**Proof. ** Let us prove the first inequality. Let be such that . By Lemma 2.2 and the boundedness of the Riesz transform,
[TABLE]
The second inequality follows analogously.
Lemma 2.6**.**
Let , . Then
[TABLE]
[TABLE]
[TABLE]
The corresponding equivalence and inequalities for the inhomogeneous spaces also hold.
**Proof. ** Let be such that . It follows from Theorem 1.3 in [Iw-2018] that
[TABLE]
Observing that
[TABLE]
where , we get
[TABLE]
which proves the Dirichlet Laplacian case of the homogeneous type. The Neumann case follows analogously by means of even extension instead of odd one. The inhomogeous case is proved by a similar argument to the above and using equivalent norms of Besov spaces by semigroup (see Theorem 7.2 in [Iw-2018])
[TABLE]
We have obtained the norm equivalence.
We turn to prove the inequalities for . Following the proof of (2.7) and applying the equivalence obtained above, we see that
[TABLE]
and similarly,
[TABLE]
The inequalities for () are proved by following the proof of Lemma 2.5 instead of Lemma 2.4.
3. Proof of Theorem 1.1
**Proof of the well-definedness of in (i) and (iii). ** Observe that for
[TABLE]
[TABLE]
which are assured by the embedding and Lemma 2.6, it follows that
[TABLE]
[TABLE]
These give defining maps from , to , , respectively. The same argument implies the well-definedness of by replacing , with each other. In the space of distributions, is also well-defined, since it is defined by the duality argument.
**Proof of the boundedness in (ii) and (iii). ** The result for the Sobolev spaces with is obtained by Lemma 2.4. If , we regard as a dual operator such that
[TABLE]
We have from Lemma 2.4 that
[TABLE]
which proves that
[TABLE]
The case follows from the complex interpolation of the obtained result and . The inhomogeneous case of Sobolev spaces follows similarly. The inequality in the Besov spaces are proved by the real interpolation of the Sobolev spaces, and hence we obtained (ii). The boundedness in (iii) follows analogously.
**Proof of (iv). ** It is possible to prove (iv) by following the argument for (i), (ii), (iii) with Lemma 2.6, Lemma 2.5 instead of Lemma 2.4.
4. Proof of bilinear and trilinear estimates in theorems
**Proof of the Dirichlet case (1.3) of Theorem 1.2. ** Let us start by the case . Suppose , . Lemma 2.2 gives that
[TABLE]
Here we need to approximate by smooth odd functions to handle their values on . Put
[TABLE]
It is easy to check that are smooth and odd with respect to . We can see that
[TABLE]
In fact, for any
[TABLE]
We have that
[TABLE]
The first two terms of are zero by on the boundary , which proves (4.2). It follows from (4.2) and (2.3) that
[TABLE]
The bilinear estimates in the Sobolev spaces in gives that
[TABLE]
By taking the limit as , we get
[TABLE]
where the above convergence is justifiled by the classical theory in the whole space case. By applying the above inequality and Lemma 2.2, we obtain the required estimate (1.3).
We turn to prove the case when by applying the complex interpolation. Lemma 2.2 and Bony’s paraproduct formula [Bo-1981] give that
[TABLE]
where
[TABLE]
Let be such that . The Hölder inequality, the result for the regularity of case and the bilinear estimate in the Sobolev spaces in imply that
[TABLE]
It follows from the above two inequalities and the complex interpolation (see e.g. [BL_1976, Triebel_1978, Triebel_1983]) that
[TABLE]
Similarly,
[TABLE]
which proves (1.3) for , . The Neumann Laplacian case for follows analogously.
**Proof of the Neumann case (1.4) of Theorem 1.2. ** We obtain that
[TABLE]
The bilinear estimates in give that
[TABLE]
which proves (1.4).
**Remark. ** There arise no problems for the Neumann case such as in contrast to (4.1), since , which is observed by that for any sufficiently smooth and
[TABLE]
and
[TABLE]
The sum of the first terms of is zero by evenness of and the second terms of are zero by oddness of giving the well-definedness the value zero on .
Proof of Theorem 1.4 for the Besov spaces. Let us start by the Dirichlet Laplacian case. We consider a weaker inequality with the Sobolev spaces which will be extended to the Besov spaces by means of the real interpolation.
[TABLE]
We will apply that the real interpolation of the Sobolev spaces becomes the Besov spaces (see [Iw-2018]) and the frequency decomposition such as (4.3). Let . Then there exists such that
[TABLE]
It follows that
[TABLE]
where
[TABLE]
[TABLE]
[TABLE]
Then the bilinear estimates in the Sobolev spaces and the real interpolation give that
[TABLE]
[TABLE]
which proves the result for the homogeneous Besov spaces for . The bilinear estimates for the inhomogeneous Besov spaces also follows from the those in homogeneous ones.
The case needs some modification. If , we take satisfying . Observe that for
[TABLE]
which is proved analogously to (2.3) and by applying and the boundedness of the Fourier multiplier in to (2.6). Then the inequality with norm in the left hand side replaced by the Besov norm also hold thanks to the real interpolation, and we have
[TABLE]
The classical bilinear estimates in and Lemma 2.6 give that
[TABLE]
which proves the bilinear estimate of homogeneous spaces for and . The case when follows from the frequency decomposition and the real interpolation as previous (4.4). As for the case when , we start by
[TABLE]
where we applied Lemma 2.2, (4.2). By decomposing as (4.5), (4.6) and the bilinear estimates in , we have
[TABLE]
[TABLE]
These and the real interpolation imply that for any
[TABLE]
[TABLE]
which prove the bilinear estimate in . The estimates for the inhomogeneous Besov spaces follows analogously.
The Neumann Laplacian case is proved by following the above argument, and we notice that can be choosen as arbitrary positive number as well as the Sobolev spaces.
**Proof of the trilinear estimates in Corollary 1.5. ** Observing that odd extention of is given by , we obtain that
[TABLE]
The trilinear estimate in gives the results.
5. Counter examples in Theorem 1.3
and Theorem 1.4
The case when . We construct such that for any and but . Let be such that
[TABLE]
Take such that
[TABLE]
It is easy to show that for any , . It suffices to prove . We see that
[TABLE]
The first and the third term are in , since they are in . The second term is
[TABLE]
Since , they belong to . Put
[TABLE]
Noting that is equivalent to , we should consider
[TABLE]
and one can see that there exist and such that
[TABLE]
Hence, we get , which proves that .
As for counter example in the Besov spaces with , we can also prove that for . In fact, it follows that
[TABLE]
We have
[TABLE]
which proves that for some and
[TABLE]
The case when . For satisfying (5.1), put
[TABLE]
We should consider
[TABLE]
and the terms except for are in but the second term is
[TABLE]
Similarly to the case when , the above terms having derivative in the right hand side is in , but for the first one , we can show that there exist and such that for
[TABLE]
which proves that . Therefore .
6. Sobolev spaces
In this section, let us explain that we can verify the well-definedness of the Sobolev spaces and for .
Proposition 6.1**.**
Let or , , .
- (i)
, are Banach spaces, and enjoy
[TABLE] 2. (ii)
Let and . Then the dual spaces of , are , , respectively. 3. (iii)
Let . Then
[TABLE] 4. (iv)
Let . Then
[TABLE] 5. (v)
Let . Then
[TABLE]
**Proof. ** Let us prove for the homogeneous spaces only, since the inhomogeneous case follows analogously with a modification of the proof below by replacing , , the operator with , , the operator , respectively.
Step 1. It is sufficient to show the completeness to prove the spaces are Banach spaces. Let be a Cauchy sequence in . Then is a Cauchy sequence in , whose completeness gives that exists such that converges to in as . Let be a element of given by
[TABLE]
where we note that the well-definedness of is already known in the paper [IMT-preprint2] (see also [Iw-2018]). Then we find that tends to in as . As for the continuous embedding, for with and ,
[TABLE]
which proves . The second embedding is verified by
[TABLE]
where , satisfies with .
Step 2. Let us prove the duality. For , let be defined by
[TABLE]
Then we have by
[TABLE]
Conversely, Let and define
[TABLE]
It follows that
[TABLE]
Since , exists such that
[TABLE]
Observe that for any ,
[TABLE]
define and by
[TABLE]
We obtain for any
[TABLE]
which proves .
Step 3. We prove the lifting property in this step. Let . Since is a operator from to itself, , and the definition of implies
[TABLE]
Step 4. We prove the embedding theorem in this step. Let be for , for to apply Lemma 2.2. If , the Sobolev embedding in gives that
[TABLE]
The lifting property obtained in Step 3 proves the case .
Step 5. We prove the characterization of as a subspace of in this step following the argument in some literature following the argumetn as in e.g. [IMT-preprint2, KoYa-1994]. Let where . The resolution of identity in (see [IMT-preprint2]) gives that
[TABLE]
It is sufficient to justify this expansion in . We can see the high spectral component is regarded as an element of . For the low spectral component, it is sufficient to show that it belongs to , which is assured by
[TABLE]
Hence we obtained (v) by the embedding .
Acknowledgements. The author was supported by the Grant-in-Aid for Young Scientists (A) (No. 17H04824) from JSPS.
References
