On the limit regularity in Sobolev and Besov scales related to approximation theory
Petru A. Cioica-Licht, Markus Weimar

TL;DR
This paper investigates the relationship between Sobolev and Besov regularity of functions on Lipschitz domains, providing bounds and sharpness results for regularity in approximation theory and applying them to PDEs like Poisson and Stokes.
Contribution
It establishes a method to derive upper bounds for Besov regularity from Sobolev regularity using classical embeddings and complex interpolation, with applications to PDEs.
Findings
Bounds for Besov regularity in terms of Sobolev regularity.
Sharpness of known Besov regularity results for the Poisson equation.
Application of regularity bounds to PDEs like the p-Poisson and Stokes problems.
Abstract
We study the interrelation between the limit -Sobolev regularity of (classes of) functions on bounded Lipschitz domains , , and the limit regularity within the corresponding adaptivity scale of Besov spaces , where and ( fixed). The former determines the convergence rate of uniform numerical methods, whereas the latter corresponds to the convergence rate of best -term approximation. We show how additional information on the Besov or Triebel-Lizorkin regularity may be used to deduce upper bounds for in terms of simply by means of classical embeddings and the extension of complex interpolation to suitable classes of quasi-Banach spaces due to Kalton, Mayboroda, and Mitrea (Contemp. Math.…
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Taxonomy
TopicsAdvanced Harmonic Analysis Research · Advanced Numerical Methods in Computational Mathematics · Differential Equations and Boundary Problems
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mathx”17
On the limit regularity in Sobolev and Besov scales related to approximation theory
Petru A. Cioica-Licht111Universität Duisburg-Essen, Fakultät Mathematik, AG Stochastische Analysis, 45117 Essen and University of Otago, Department of Mathmatics and Statistics, P.O. Box 56, Dunedin 9054, New Zealand. Email: [email protected] Markus Weimar222Corresponding author. Ruhr University Bochum, Faculty of Mathematics, Research Group Numerics, Universitätsstraße 150, 44801 Bochum, Germany. Email: [email protected].
Abstract
We study the interrelation between the limit -Sobolev regularity of (classes of) functions on bounded Lipschitz domains , , and the limit regularity within the corresponding adaptivity scale of Besov spaces , where and ( fixed). The former determines the convergence rate of uniform numerical methods, whereas the latter corresponds to the convergence rate of best -term approximation. We show how additional information on the Besov or Triebel-Lizorkin regularity may be used to deduce upper bounds for in terms of simply by means of classical embeddings and the extension of complex interpolation to suitable classes of quasi-Banach spaces due to Kalton, Mayboroda, and Mitrea (Contemp. Math. 445). The results are applied to the Poisson equation, to the -Poisson problem, and to the inhomogeneous stationary Stokes problem. In particular, we show that already established results on the Besov regularity for the Poisson equation are sharp.
Keywords: Non-linear approximation, adaptive methods, Besov space, Triebel-Lizorkin space, regularity of solutions, stationary Stokes equation, Poisson equation, -Poisson equation, Lipschitz domain.
2010 Mathematics Subject Classification: 35B35, 35J92, 41A25, 46E35, 65M99.
Dedicated to Prof. Dr. Stephan Dahlke on the occasion of his 60th birthday
1 Introduction
The convergence rate of approximation methods strongly depends on the regularity of the target function. In particular, the convergence rate of the best -term approximation for a function on a bounded Lipschitz domain , , is intimately related to its regularity in the scale of Besov spaces
[TABLE]
whereas the convergence of an approximation method based on uniform refinements depends on the regularity in the scale , , of Sobolev spaces; here, is fixed and the approximation error is measured in . Roughly speaking, if (and only if) the Besov regularity of the target function in the scale ( ‣ 1) is strictly higher than its corresponding Sobolev regularity, a higher convergence rate may be achieved by switching from uniform refinement strategies to more sophisticated adaptive wavelet or finite element schemes. We refer to [6, 13, 18] and to the references therein for details and sufficient assumptions for such statements. Definitions of the relevant function spaces are provided in the appendix.
The Sobolev regularity of solutions to elliptic partial differential equations on non-smooth domains may be very limited, even if the forcing terms are infinitely smooth. Upper bounds for
[TABLE]
where is a suitably chosen set of solutions to various instances of elliptic equations, can be found, for instance, in [4, 17, 19, 23, 27, 30]. To mention an example, there exist bounded domains such that if we define to be the set of all solutions to the Poisson equation with zero Dirichlet boundary conditions and right hand sides , then , see Section 3.1 for details. Similar results for (stochastic) evolution equations can be found, e.g., in [20, 25]. At the same time, we know that the solution to most of the equations in the aforementioned references may have higher regularity in the scale ( ‣ 1), see, e.g., [3, 5, 7, 8, 10, 11, 12, 15, 16, 21]. For instance, in the example above, it is known that
[TABLE]
see [7]. The higher Besov regularity justifies the development of adaptive numerical methods for (stochastic) partial differential equations. However, to the best of our knowledge, no upper bound at all for the regularity in the scale ( ‣ 1), i.e., for
[TABLE]
can be found in the literature; here, . Thus, in many settings, we do know that there is the possibility to outperform uniform methods by adaptive refinement strategies but we do not know how high the convergence rate of these methods can maximally get. Note that the cases , resp. , are explicitly allowed and indeed occur already in the most basic examples; see, e.g., Remark 3.1.
In this paper we study the interrelation between the limit regularity indices and . In Section 2 we prove an abstract result showing for arbitrary sets how additional information about the Besov or Triebel-Lizorkin regularity of all can be used to deduce upper bounds for in terms of simply by means of the extension of complex interpolation to suitable classes of quasi-Banach spaces from [24] and classical embeddings. We apply this result in Section 3 to the Poisson equation, the -Poisson problem, and the inhomogeneous stationary Stokes equation. In particular, we show that under fairly natural assumptions, already established positive results on the Besov regularity of the solution to the Poisson equation in the scale ( ‣ 1) are actually sharp. Before we start, we introduce some notation and comment on so-called DeVore-Triebel diagrams, which we will use in order to visualize results.
Notation. Throughout this manuscript, denotes a bounded Lipschitz domain in for some . For , by we denote the space of all (equivalence classes of) Lebesgue-measurable, scalar-valued functions satisfying , while is the space of all (equivalence classes of) Lebesgue-measurable, Lebesgue-almost everywhere bounded scalar-valued functions on . Moreover, and stand for the Besov and Triebel-Lizorkin spaces, respectively, with smoothness parameter , integrability parameter (with for Triebel-Lizorkin spaces) and microscopic parameter . The corresponding spaces and on the boundary of the domain are defined as in [28]. For , by we denote the -Sobolev space of order . For two quasi-normed spaces and , we write if is continuously and linearly embedded in and stands for the complex interpolation space of the pair with parameter . Precise definitions and relevant interpolation and embedding properties of Besov, Triebel-Lizorkin, and Sobolev spaces are collected in Appendix A.
Throughout, the letter is used to denote a finite positive constant that may differ from one appearance to another, even in the same chain of inequalities. Moreover, we adopt the usual conventions and .
DeVore-Triebel diagrams. We are going to use so-called DeVore-Triebel diagrams in order to visualize results. In those -diagrams, we identify every point with the Besov space . Many embedding and interpolation results for Besov spaces can then be visualized in a very convenient way (see Figure 1):
- •
Besov spaces form scales of (generalized) complex interpolation spaces, see Section A.4. As a consequence, if for , then for all on the line segment between and ; see (i) in Figure 1.
- •
If for some and , then, by Section A.3(iv), is contained in all the Besov spaces represented by the points with \widetilde{s}<s-d\,\max\big{\{}1/p-1/\widetilde{p},\,0\big{\}}; see the shaded area (ii) in Figure 1. Moreover, by Section A.3(v), it is contained in all Besov spaces represented by the points with \widetilde{s}=s-d\,\big{(}1/p-1/\widetilde{p}\big{)}; see (iii) in Figure 1.
- •
If for some , and (with finite if ), then, by Section A.3(iv), is contained in all Besov spaces represented by the ray ; see (iv) in Figure 1.
Moreover, in such a diagram, for , the scale ( ‣ 1) is represented by the so-called -Sobolev embedding line
[TABLE]
see (v) in Figure 1.
2 Main result
In this section we analyze how additional information about the Besov or Triebel-Lizorkin regularity may be used in order to derive upper bounds for in terms of simply by means of complex interpolation and classical embedding theorems; here and in the sequel, and are defined as in Section 1, see (1) and (2), respectively. We prove the following main result.
Theorem 2.1**.**
For let be a bounded Lipschitz domain. Moreover, let and let be such that . Assume that for some and some , for all . Then
[TABLE]
If additionally
[TABLE]
then
[TABLE]
Before we give a proof of this theorem, let us make some remarks. We start with a sufficient condition for the additional regularity assumption.
Remark \therem.
Let and . Then, by classical embedding theorems for Besov and Triebel-Lizorkin spaces, as collected in Section A.3, the assertion
[TABLE]
is sufficient for
[TABLE]
Moreover, so is
[TABLE]
If , then these implications also hold for .
Remark \therem.
In principle, could be any subset of some Besov/Triebel-Lizorkin space. But even if we restrict ourselves to solution sets for operator equations, there are several different interpretations: On the one hand, we may think of one particular problem given by a fixed operator acting on functions defined on a fixed domain with fixed right-hand side and fixed initial/boundary conditions if necessary. Then only contains solutions for this particular situation and we probably even have such that and describe smoothness properties of one particular function. On the other hand, we may also think of solution sets for classes of problems such as, e.g.,
- (i)
a fixed equation (like the Poisson equation with zero Dirichlet boundary condition ) on a fixed domain (e.g., the standard L-shape domain in ) with variable right-hand side from a certain class of functions (e.g., arbitrary ), or
- (ii)
a class of operator equations (e.g., all linear, second order PDEs with smooth coefficients) on a fixed domain with, say, smooth right-hand sides,
and so forth. Since in this case collects all functions which solve at least one admissible problem instance, here and describe lower bounds for the regularity of solutions to the hardest possible problem in the respective class. For example, solves the problem described in (i) for . Hence, and , but , see also Remark 3.1 below.
We could even go one step further and consider classes of problems like
- (iii)
a fixed equation considered on a class of domains (e.g., all bounded domains) with certain restrictions on the right-hand side and/or on initial/boundary conditions.
However, then the notation would get more complicated such that in the sequel we restrict ourselves to the cases mentioned above.
Remark \therem.
Throughout this remark, we assume that we are in the setting of Theorem 2.1.
- (i)
Note that, due to standard embeddings of Besov and Triebel-Lizorkin spaces (as provided in Section A.3 in the appendix), for and we have
[TABLE]
That is, the limit regularity index does not depend on the microscopic parameter , nor on the type of the spaces (Besov vs. Triebel-Lizorkin). Moreover, it coincides with defined in (1). In particular,
[TABLE]
and also
[TABLE]
where the latter quantity is defined by means of the slightly larger Besov spaces which coincide with the approximation spaces w.r.t. non-adaptive algorithms based on uniform refinement, see, e.g., [13] for details. 2. (ii)
Due to the generalization of Sobolev’s embedding theorem to Besov spaces (as presented in Section A.3(v)), a space from the adaptivity scale ( ‣ 1) is embedded into every other space , , from the same scale with . However, as a consequence of the sharpness of Sobolev embeddings, the space is not embedded in for any , , and , as this combined with Section A.3(iv) would contradict the ‘only if’ part of Section A.3(v). Therefore, it is not possible to obtain a non-trivial upper bound for in terms of without further assumptions on . 3. (iii)
In Figure 2 we use a DeVore-Triebel diagram to visualize our upper bound (5) for and the corresponding proof idea, given that . The bound in (5) is precisely the ordinate of the intersection point of the (dashed) line through and with the -Sobolev embedding line (3). Therefore, by elementary geometry, for every , there exists , such that the (solid) line through and contains a point for some . Since for all , the claim for such an would thus contradict the maximality of , see also (6).
- (iv)
The proof idea above obviously fails if , i.e., if the point is below or exactly on the Sobolev embedding line \big{\{}(1/\widetilde{p},\widetilde{s})\;\vrule\;\widetilde{s}=\overline{s}_{p}-d\,(1/p-1/\widetilde{p})\big{\}} through . In this case the line through and does not intersect with the corresponding -Sobolev embedding line (3).
Actually, it is clear that we cannot even expect to obtain a non-trivial bound on if we only know that for all , since this is already implied by Sobolev’s embedding theorem (see Section A.3(iv)). Thus, assuming this does not add any additional information about and we cannot expect to be able to establish a non-trivial bound on , see also (ii) above. In the limiting case, i.e., if , then assuming that for some and as in Section 2 may or may not constitute an additional assumption on . However, also in this case it is not possible to establish a non-trivial bound for . Counterexamples can easily be constructed in terms of standard representatives of Besov and Triebel-Lizorkin spaces; see, in particular, [29, Lemma 2.3.1.1]. 5. (v)
The proof technique described in (iii) above may also be used in order to derive, for instance,
- •
the lower bound
[TABLE]
for , provided we are given and for some , , , and , or
- •
an upper bound for for some , given , as well as for some , , and .
In Section 3.1, we are going to use the latter in order to determine , , for the Poisson equation with smooth right-hand sides and zero Dirichlet boundary conditions on a bounded domain constructed by Jerison and Kenig [23]. 6. (vi)
Further assumptions of the type for some , as well as (with finite if ), , and lead to an improvement of the upper bound for by means of the proof technique described in (iii) only if the point lies strictly above the line through the two points and in the DeVore-Triebel diagram. Moreover, by complex interpolation it becomes obvious that the set of parameters
[TABLE]
is necessarily convex and that each with belongs to its boundary. 7. (vii)
For , the regularity of a function in the scale ( ‣ 1) is intimately related to the convergence rate of the best -term approximation, if the error is measured in . However, if the error is to be measured in the norm of some other Sobolev space with (describing, for instance, the energy space), then the scale changes to
[TABLE]
Since this is just a shift of the -Sobolev embedding line, our analysis carries over to this case mutatis mutandis. For the ease of presentation we omit the details. Moreover, we can replace the underlying Lipschitz domain by a (patchwise smooth) manifold; cf. [9, 12, 34].
We close this section with a detailed proof of Theorem 2.1.
- Proof of Theorem 2.1.
Relation (4) follows by contradiction due to the fact that for all and there holds , see Section A.3(iv). This embedding also implies that if . Thus, we are left with proving (5) for . Again we argue by contradiction. Assume , , for some . Since for all , we also know that with and for all , see Section A.4. In particular, if we choose
[TABLE]
we obtain for all with . Since , we have
[TABLE]
Therefore, there exists , such that , which means that for some . But this contradicts the maximality of . ∎
3 Examples
In this section we apply Theorem 2.1 to three sample problems: the Poisson equation, the -Poisson problem, and the inhomogeneous stationary Stokes equation.
3.1 The Poisson equation
Let us consider the Poisson equation with zero Dirichlet boundary conditions
[TABLE]
on a bounded Lipschitz domain , . Points where the boundary of the underlying domain is not smooth are known to have negative effects on the regularity of the solution to (7). While on smooth domains we have the usual shift
[TABLE]
this mechanism fails if we allow the boundary of to be merely . In this case, for instance, does not necessarily imply . This problem has been intensively studied in [23] by Jerison and Kenig; see also [17, 26]. Therein one may find a precise description of the range of parameters that allow for shift theorems for Equation (7) in Bessel potential spaces and in Besov spaces. The sharpness of this range is underpinned by several counterexamples, see, in particular, [23, Section 6]. Motivated by these results and by the relevance of the regularity in Sobolev spaces and in the scales ( ‣ 1) of Besov spaces in (non-)linear approximation theory, Dahlke and DeVore [7] analyzed the regularity of the Poisson equation in Besov spaces with integrability parameter less than one. Put together, the positive results from [23] and [7] guarantee the following: If we are only interested in the consequences of the lack of boundary smoothness and therefore assume that , then the solution to the corresponding equation (7) is contained in every Besov space represented by a point within the shaded area in the DeVore-Triebel diagram in Figure 3. Using the terminology from the previous sections, we set
[TABLE]
Then
[TABLE]
such that, in particular,
[TABLE]
for every . The following theorem asserts the existence of bounded domains on which these lower bounds for and become also upper bounds.
Theorem 3.1**.**
For , there exists a bounded domain such that if is defined as in (8), then for arbitrary there holds
[TABLE]
Our proof of Theorem 3.1 below is based on a counterexample by Jerison and Kenig of a domain , , for which there exists a function , such that the second derivatives of the solution to the corresponding equation (7) are not contained in , thus . We refer to [23, Theorem 1.2(b)] for the statement and to [23, Section 6] for the corresponding counterexample. For such a solution to (7) we prove the following.
Lemma \thelem.
Let . Moreover, let be a domain for which there exists a function such that the unique solution to the corresponding Poisson equation (7) satisfies . Then the following statements hold.
- (i)
. 2. (ii)
If and , then . 3. (iii)
* for all .* 4. (iv)
Let and let be such that . Moreover, assume that
[TABLE]
*Then . *
- Proof.
We prove the four statements successively.
- (i).
The assertion would contradict our assumption that since , which follows, e.g., from [31, Theorem 2.3.8(i) & Proposition 2.5.7(i)]. 2. (ii).
Suppose that for some and . W.l.o.g. we may also assume that . From [7, Theorem 4.1] we can deduce that with and for all . Then by Section A.4 we have
[TABLE]
However, this contradicts (i). 3. (iii).
We prove this assertion with an argument used in [4, point 4. on page 2167]: Let us extend to the whole of such that the extension (also denoted by ) is at least smooth enough to be contained in for some . Then the equation on has a unique solution and . Therefore, is a harmonic function on with trace . From [23, Theorem 5.15(b)] it thus follows that and hence also . 4. (iv).
We first consider the case . Theorems 1.1 and 1.3 of [23] together with part (ii) imply that for all . Now fix . Then, we may apply Theorem 2.1 with and
[TABLE]
to obtain
[TABLE]
which obviously proves (iv) if .
The fact that , , if follows from parts (i) and (iii) by another complex interpolation argument: Since and the points , , and lie on the same line of slope through in a DeVore-Triebel diagram, the statement would contradict (i).∎
- Proof of Theorem 3.1.
Due to Jerison and Kenig [23, Theorem 1.2(b)], there exist and , such that the assumptions of Section 3.1 are satisfied. Therefore, the assertion follows from Section 3.1 and (9). ∎
We conclude this subsection with some further remarks.
Remark \therem.
It is worth mentioning that the bounds in Theorem 3.1 are due to worst-case scenarios regarding the behaviour of boundaries. However, for large classes of domains, which are not even necessarily of class , the regularity indices and with as defined in (8) may be higher, at least for certain . For instance, if is a polygonal domain with maximal interior angle , then Grisvard [19, 20] shows that
[TABLE]
which is strictly greater than whenever . Moreover, it is known from [5] that
[TABLE]
Note that this does not contradict Theorem 2.1 since (10) implies that for any fixed and all , there is no such that for all .
Remark \therem.
In [4] Costabel constructs bounded domains of arbitrary dimension , for which there exists such that the solution to the corresponding Poisson equation (7) is contained in , but not in for any and any ; see, in particular, Theorem 1.2 and Remark 1.3 therein. Section 3.1 above shows that the counterexample provided by Jerison and Kenig in [23, Section 6] as a proof of Theorem 1.2(b) therein has these properties, too.
3.2 The -Poisson problem
Our second example is the -Poisson problem for some fixed . For , let again denote a bounded Lipschitz domain. Given with , we seek the unique weak solution to
[TABLE]
where denotes the -Laplace operator.
For this problem various local and global regularity results are known; we refer, e.g., to [1, 8, 14, 22, 30] and the references therein. Our subsequent analysis relies on the following result.
Proposition \theprop (Ebmeyer [14, Theorem 2.4]).
For let denote a bounded polyhedral Lipschitz domain. Moreover, let and . Then the unique weak solution to (11) satisfies
[TABLE]
Although, to the best of our knowledge, even in this restricted setting the exact value of is unknown, we can apply our main Theorem 2.1 in order to deduce the following statement:
Theorem 3.2**.**
For let denote some bounded polyhedral Lipschitz domain. Given let denote the set of solutions to the -Poisson problem (11) with right-hand sides . Then for the regularity indices and as defined in (1) and (2), respectively, one of the following cases applies:
- 1.)
* and*
[TABLE] 2. 2.)
.
- Proof.
For the parameter in (12) is strictly larger than . Using that for , we thus can apply Theorem 2.1 with this and . This yields that in any case there holds
[TABLE]
Moreover, is strictly less than if, and only if, . In this case, also Formula (5) in Theorem 2.1 applies which proves the upper bound on in case 1.). Hence, the proof is complete. ∎
Let us add some remarks also for this example.
Remark \therem.
There exist statements similar to Section 3.2 also for ; see, e.g., Ebmeyer [14] for details. However, in this case the analogue of (12) does not provide additional information; cf. Section 2(iv). That is, using Theorem 2.1 not much can be said except that might be unbounded. Anyway, again this agrees well with results due to Dahlke [5], who showed that for and smooth right-hand sides we indeed have ; see also Section 3.1 above.
Remark \therem.
Theorem 3.2 shows that on polyhedral Lipschitz domains the maximal -Sobolev smoothness is at least . In [30, Theorem 2’] Savaré proved that this remains true on general Lipschitz domains under the weaker condition that . Moreover, in [30, Remark 4.3] he even claims optimality. However, if we stick to the stronger assumptions that is polyhedral Lipschitz and , we may use positive Besov regularity results w.r.t. the scale ( ‣ 1) in order to conclude a better lower bound. Indeed, combining Section 3.2 with Section 2(v) shows that
[TABLE]
Note that this lower bound is strictly monotonically increasing in , where
[TABLE]
Results of Dahlke et al. [8, Theorem 4.20] imply that on bounded polygonal domains ,
[TABLE]
such that in this case
[TABLE]
Furthermore, recent results indicate that we may replace by in (13).
3.3 The inhomogeneous stationary Stokes problem
Our third and final example is the inhomogeneous stationary Stokes system
[TABLE]
where is again a bounded Lipschitz domain () and , , and are given functions (or distributions) on and , respectively, such that the compatibility condition
[TABLE]
is satisfied; here, denotes the outward unit normal vector to .
For this problem, Mitrea and Wright [28] showed that a suitably modified regularity shift holds in a range of parameters similar to the one established by Jerison and Kenig [23] for the classical Poisson problem; see [28, page 178] for a precise definition of . Without going into details, this range depends on a “roughness parameter” which measures the Lipschitz nature of . However, for sufficiently smooth domains, e.g., when , we may take .
Proposition \theprop (Mitrea and Wright [28, Theorem 1.5/10.15]).
For let be a bounded Lipschitz domain. Moreover, let , as well as , , and with , where if . Then for
[TABLE]
there exists a solution to the inhomogeneous stationary Stokes system (14), (15). Moreover, it is unique modulo the addition of locally constant functions in to the pressure .
This statement can be used to conclude the subsequent regularity assertion which provides all necessary information for the application of Theorem 2.1 to the Stokes problem.
Lemma \thelem.
For let denote a bounded Lipschitz domain with roughness parameter . Further, let , as well as and
[TABLE]
Then solutions to (14), (15) exist and satisfy for all with
[TABLE]
- Proof.
Due to simple embeddings we may w.l.o.g. assume that ; see Section A.3(iv). Further let and . Then, according to Section A.2 and Section A.3, there holds
[TABLE]
provided that
[TABLE]
Note that this inequality is satisfied if is chosen such that
[TABLE]
Moreover, similar calculations show that the same condition (17) implies the embeddings and . Hence, our assumptions on the data give
[TABLE]
with and each with (17). Furthermore, it can be checked easily that whenever and with
[TABLE]
Thus, the claim follows from Section 3.3 applied for , , as well as and restricted by (16), and Section A.2. ∎
Theorem 3.3**.**
For let denote a bounded Lipschitz domain with roughness parameter . Let and denote the sets of solutions to the inhomogeneous stationary Stokes problem (14), (15) with
[TABLE]
where
[TABLE]
Moreover, let . Then for the regularity indices and of (each component of) the velocity one of the following cases applies:
- 1.)
* and*
[TABLE] 2. 2.)
.
For the regularity of the pressure an analogous statement holds with replaced by .
- Proof.
Let us only consider the assertions on ; the results for can be derived in exactly the same way. Due to Section A.3(iv) and Section 3.3 applied for we know that
[TABLE]
Therefore, by Section 2(i) we have .
Since , it remains to show that if , then the stated upper bound on holds true. To this end, let us define
[TABLE]
Then particularly implies that . For each arbitrarily fixed we can now choose with
[TABLE]
Then the definition of implies that
[TABLE]
and hence satisfies (16). Thus, Section 3.3 ensures that for all . According to Section 2, this allows to apply Theorem 2.1, where
[TABLE]
Therefore, the bound (5) applies which shows that
[TABLE]
Since the latter inequality holds for arbitrary small , this completes the proof. ∎
Let us conclude also this section with some final remarks:
Remark \therem.
Assume for simplicity that is chosen small enough such that . Then case 2.) in Theorem 3.3 can be interpreted as a shift of full order (two) within the Sobolev scale. However, as we have seen in Section 3.1, already for the classical Poisson problem this shift might fail even on domains. Although we do not know about an explicit example, it is very likely that the same is true for the Stokes problem. Then case 1.) applies and we have a non-trivial upper bound on the Besov smoothness w.r.t. the scale ( ‣ 1) with . Moreover note that this is monotonically increasing in , where
[TABLE]
Recently Eckhardt et al. [16, Theorem 3.3] addressed the question of Besov regularity for dimensions under the additional conditions that the boundary of is connected and . Rewritten in our notation they were able to show that for and we have for
[TABLE]
Appendix A Appendix: Basics from function space theory
In this supplementary section we collect the main definitions and assertions concerning function spaces on domains which are needed throughout the paper. Here ‘domain’ always means ‘non-empty, connected, open set’. Special attention is paid to bounded Lipschitz domains , , as defined, e.g., in Triebel [32, Section 1.11.4].
A.1 Besov and Triebel-Lizorkin spaces
In accordance with Triebel [31] we use the Fourier analytic approach towards Besov and Triebel-Lizorkin spaces on and define the corresponding spaces on domains by restriction.
Let . By we denote the Schwartz space of all complex-valued rapidly decreasing functions on and denotes its dual space of tempered distributions. Moreover, for domains we let denote the collection of all complex-valued functions in with compact support in and denote by its dual space of distributions on . As usual, we say two functionals and equal each other in or if
[TABLE]
For we denote by the restriction of to which means that
[TABLE]
Note that this is meaningful since .
In addition, let and denote the (extension of the) Fourier transform, respectively its inverse, on . Fix an arbitrary such that
[TABLE]
Then the collection , with
[TABLE]
defines a smooth dyadic resolution of unity and we have
[TABLE]
for all . Due to the celebrated Paley-Wiener-Schwartz-Theorem, the building blocks , , are actually entire analytic functions; see, for instance, Triebel [31, Section 1.2.1]. As usual, for , is the space of -summable scalar-valued sequences over (bounded sequences, if ).
Definition \thedefi.
For choose as above and let denote an arbitrary domain. Moreover, let and .
- (i)
The set , quasi-normed by
[TABLE]
is called Besov space. 2. (ii)
If , then the set , quasi-normed by
[TABLE]
is called Triebel-Lizorkin space. 3. (iii)
If with for , then the set
[TABLE]
quasi-normed by
[TABLE]
is called Besov resp. Triebel-Lizorkin space on .
Standard proofs show that the spaces introduced above are quasi-Banach spaces (Banach iff and Hilbert iff ) and that different provide equivalent quasi-norms, see, e.g., Triebel [31, Section 2.3.2]. Furthermore, these scales of spaces cover a variety of classical function spaces—such as, e.g., Lebesgue, Sobolev(-Slobodeckij), Bessel potential, Lipschitz, Hölder(-Zygmund), or Hardy spaces—as special cases. Besides our Fourier analytic definition, there is a big variety of other descriptions of these spaces which are equivalent at least for large ranges of parameters. To give an example, we note that at least for
[TABLE]
the spaces (and also for bounded Lipschitz domains ) exclusively contain regular distributions, i.e., functions, which makes it possible to characterize them as subspaces of some Lebesgue space by means of iterated differences. For details we refer to Triebel [32, Section 1.11.9].
A.2 Sobolev spaces
We follow the usual approach and define the following Sobolev-type spaces based on Besov and Triebel-Lizorkin spaces.
Definition \thedefi.
For let denote a bounded Lipschitz domain. Then we set
[TABLE]
where for the index is given by and denotes the closure of w.r.t. the norm if .
It is worth noting that these definitions are equivalent with the common definitions of Sobolev(-Slobodeckij) and Bessel potential spaces: For we have
[TABLE]
see Triebel [32, Theorem 1.122], while for coincides with the definition of Sobolev-Slobodeckij spaces as real interpolation space of with for some with and suitable parameters; see, e.g., DeVore [13, Section 4.6].
A.3 Embeddings
The scales of Besov and Triebel-Lizorkin spaces on bounded Lipschitz domains satisfy various embeddings. Let us mention a few of them:
Proposition \theprop.
For let denote a bounded Lipschitz domain. Further assume and let .
- (i)
Assume additionally that . Then
[TABLE]
holds if, and only if, we have . 2. (ii)
If additionally and , then
[TABLE] 3. (iii)
If additionally (and if ), as well as , then
[TABLE] 4. (iv)
If additionally and
[TABLE]
then
[TABLE]
(with finite integrability parameter for -spaces). 5. (v)
Assume additionally that and
[TABLE]
Then
[TABLE]
holds if, and only if, we have .
- Proof.
For (i), (ii), and (v) see, e.g., Triebel [32, page 60] and the references therein. For (iii) and (iv) additionally consult Triebel [31, Proposition 2 in Section 2.3.2], as well as [33, Theorem 4.33 and Remark 4.34]. ∎
Note that Section A.3(iv) particularly implies that for we have
[TABLE]
with if , since can be identified with (if ) or (if ).
A.4 Complex interpolation
For some open set let and denote quasi-normed spaces of complex-valued functions or distributions on . Then, under certain conditions, the (extended) complex interpolation method is applicable and yields further quasi-normed spaces of functions on . Besides other useful properties these spaces, usually denoted by , , satisfy
[TABLE]
Thus, in particular, any set is also contained in for all . For details we refer to Bergh, Löfström [2] and Kalton, Mayboroda, Mitrea [24].
It turns out that the scales of Besov and Triebel-Lizorkin spaces on bounded Lipschitz domains behave well w.r.t. this method:
Proposition \theprop (Kalton et al. [24, Theorem 9.4]).
For let denote a bounded Lipschitz domain and assume . Moreover, let , as well as , and (with for ), and . Then
[TABLE]
implies
[TABLE]
in the sense of equivalent quasi-norms.
Acknowledgements
The authors are grateful to the anonymous reviewers for their valuable comments and their constructive suggestions which helped to improve the manuscript.
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