Semi-linear boundary problems of composition type in $L_p$-related spaces
Jon Johnsen, Thomas Runst

TL;DR
This paper investigates semi-linear elliptic boundary value problems with nonlinear composition perturbations in various $L_p$-related function spaces, establishing existence results using topological methods and advanced regularity theory.
Contribution
It extends existence results for semi-linear elliptic problems to broad $L_p$-Sobolev, Besov, and Triebel--Lizorkin spaces, employing novel regularity techniques.
Findings
Existence of solutions in $L_p$-Sobolev spaces.
Extension to Besov and Triebel--Lizorkin spaces.
Application of Leray--Schauder and Landesman--Lazer conditions.
Abstract
The class of problems treated here are elliptic partial differential equations with a homogeneous boundary condition and a non-linear perturbation obtained by composition with a fixed smooth function. The existence of solutions is obtained from the Leray--Schauder theorem or under a Landesman--Lazer condition on the data. Existence is carried over to a wide range of -Sobolev spaces, using a non-trivial procedure to obtain a general regularity result. In fact the results are obtained in the general scales of Besov and Triebel--Lizorkin spaces.
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**SEMI-LINEAR BOUNDARY PROBLEMS OF
COMPOSITION TYPE IN -RELATED SPACES **
Jon Johnsen111partly supported by the Danish Natural Sciences Research Council, grant no. 11–1221–1 and no. 11–9030
Institute of Mathematical Sciences, Mathematics Department;
Universitetsparken 5, DK-2100 Copenhagen O; Denmark.
E-mail: [email protected]
Thomas Runst222partly supported by Deutsche Forschungsgemeinschaft, grant Tr 374/1-1.
Appeared in Communications in partial differential equations, 22 (1997), no.7--8, 1283--1324.
Mathematical Institute, Friedrich–Schiller–Universität Jena;
Ernst–Abbe–Platz 1–4, D-07743 Jena; Germany.
E-mail: [email protected]
1. Introduction
We address the -theory of semi-linear boundary problems of the form:
[TABLE]
Here defines a linear elliptic problem (specified below), , and we seek solutions with derivatives in , roughly speaking.
The purpose is to study effects caused by the non-linearity , when one wants a maximal range of both and . As a main result we describe and determine in Theorem 2.1 ff. below a certain borderline occurring for s\in\,]1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}[\,. To our knowledge neither the borderline nor the range \,]1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}[\, has been treated before.
Moreover, for each and fixed in the -theory is split into two parts by the borderline (loosely speaking and s\gtrsim{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}). In particular this is so for the -theory when .
These phenomena actually occur in any dimension when is taken arbitrarily in . Thus it is advantageous for the full understanding of (1.1) to use spaces with , and this we do in the framework of the Besov and Triebel–Lizorkin spaces, and .
In this context we treat the existence and regularity of solutions, with Landesman–Lazer conditions for the self-adjoint case.
Our methods combine two general investigations in and spaces: (i) Boutet de Monvel’s pseudo-differential calculus of linear boundary problems, which gives the framework for , with [Joh96] by the first author as source (extending works of Grubb and Franke [Gru90, Fra86]); and (ii) estimates of composition operators in works of Sickel and the second author [Run86, RS96, Sic89].
The borderline phenomena occur although we assume that is real-valued with bounded derivatives of any order, i.e.
[TABLE]
Such non-linearities constitute only a narrow class, but on one hand new insight can be obtained even for these, and on the other hand our methods do not allow us to go further since a full set of composition estimates have not yet been established for wider classes.
As motivated above we treat solutions in the Besov and Triebel–Lizorkin spaces, and , with and and in ; throughout with for , however. Both and are assumed real-valued.
Recall that e.g. Hölder–Zygmund spaces (), Sobolev–Slobodetskiĭ spaces (, ), Bessel potential spaces (, ) and local Hardy spaces (), cf. [Tri83, Tri92], so that these are covered by our treatment.
In (1.1), is a bounded open set with -smooth boundary for . is an elliptic operator and the trace operator , where is restriction to the boundary while for a unit outward normal vectorfield, , near . For simplicity is taken of order and the boundary condition is homogeneous, so we only need to treat , the -realisation of ; for this reason is assumed to be right invertible (e.g. could be normal). Moreover, and have coefficients in , and the are differential operators in of order for some . The class of is denoted by ; by definition here if , and else .
Finally, is assumed elliptic in the Boutet de Monvel calculus [BdM71]; see (4.6)–(4.7) below.
Review
Under the assumptions above we deduce three consequences for the non-linear problem (1.1):
- (i)
(Theorem 2.1.) For belonging to a domain , specified below, the condition makes sense and has order strictly less than when in or .
In particular is better behaved than on and whenever . Because the range 1<s<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} is included, the transformation (s,p,q)\mapsto(s,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}},{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle q}}}) will for take into a non-convex subset of .
- (ii)
(Theorem 2.2.) Given a solution in for data in , where for both and , then also belongs to , as in the linear case, and similarly in the -case.
Using that has a parametrix in the pseudo-differential calculus, this follows from a bootstrap argument with varying integral exponents; even for the ’s cannot in general for be kept fixed because is not convex.
- (iii)
(Theorem 2.3.) For in and in there exists a solution in , and similarly for the scale. This is proved by means of the Leray–Schauder theorem when is invertible, as well as when is self-adjoint and satisfies generalised Landesman–Lazer conditions, cf. [RL95].
The proof is standard for , for then the embedding, say, shows that is estimated independently of by . For larger such a procedure seems impossible, but we consider as an element of some to which the result for applies; the inverse regularity result in (ii) yields that the found solution belongs to or as required.
Throughout the set is termed the parameter domain of the operator , cf. Figure 1. In addition to (i) above, for of class we characterise the largest possible parameter domain (except for the borderline cases, which are undiscussed here).
Example 1.1** (General data).**
When is connected in for and , we get the following:
(a) For , take any , say . With , let be the restriction to of one the distributions
[TABLE]
then is in B^{{\frac{1}{\raise 1.0pt\hbox{\scriptscriptstyle p}}}-1}_{p,\infty}(\overline{\Omega}) for , cf. Example 2.9. By Theorem 2.3 there is, whenever , a solution lying in B^{{\frac{1}{\raise 1.0pt\hbox{\scriptscriptstyle p}}}+1}_{p,\infty}(\overline{\Omega}).
(b) . When and , then,
[TABLE]
when and is a cut-off function with , cf. [RS96]. Here each yields {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}+2+\alpha>{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} and hence ({\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}+2+\alpha,p,\infty)\in{\mathbb{D}}(-\!\operatorname{\Delta}_{\gamma_{1}}+g(\cdot)) if satisfies {\textstyle\frac{n-1}{\raise 1.0pt\hbox{\scriptstyle p}}}+1+\alpha>0, and for such that there is then a solution in B^{{\frac{n}{\raise 1.0pt\hbox{\scriptscriptstyle p}}}+\alpha+2}_{p,\infty}(\overline{\Omega}) according to Theorem 2.3. (Even may be treated for in a smaller interval.)
However, when the function in (1.4) is not in for , so the existence of is not provided by [FR88, RR96].
Example 1.2** (Optimal regularity).**
By Theorem 2.2 each in (a) of Example 1.1 also belongs to B^{{\frac{1}{\raise 1.0pt\hbox{\scriptscriptstyle r}}}+1}_{r,\infty}(\overline{\Omega}) for every .
That exists in is known for when , for is in in such dimensions. However, that is in B^{{\frac{n}{\raise 1.0pt\hbox{\scriptscriptstyle p}}}+\alpha+2}_{p,\infty} is a stronger fact provided by Example 1.1. For this even holds for the classical range , so in particular, for and we conclude that belongs to for .
The typical difficulties caused by the boundary of the parameter domain are illustrated in Figure 1 below; especially the dotted line indicates that one cannot just ‘go upwards’ to obtain, say, .
Other works
There are numerous articles on semi-linear problems, so we shall only compare results for the one specified in (1.1) ff., and thus leave out the more liberal assumptions found on e.g. in many papers.
Solutions for or and have been treated by e.g. Landesman and Lazer [LL70], Ambrosetti and Mancini [AM78], Brézis and Nirenberg [BN78] and Robinson and Landesman [RL95], and for by Amann, Ambrosetti and Mancini [AAM78] and Nečas [Neč83] whereas the and have been dealt with for s>{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} in works of Franke, Runst and Robinson [FR88, RR96].
Spaces with 1<s<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} have not been treated systematically for (1.1) before, so the non-convexity and the borderline of in this region should be novelties, together with its maximality when has class .
The crucial inverse regularity properties of in (ii) above do not as far as we know have any forerunners, not even under further assumptions on the ’s or on . However, the simpler property that is in when is so (hypoellipticity) was obtained in [AAM78, AM78, BN78].
In contrast to this the solvability of (1.1) has been treated extensively with some of the original applications of the Leray–Schauder theorem containing the case [LS34]. In general, when is invertible, it was assumed in [FR88, RR96] that the data given in or for s>{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} should also belong to for some when has class . For and s<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}+1 this is a serious restriction, which is removed in our work.
For self-adjoint, the Landesman–Lazer conditions appeared in [LL70] and was further investigated by Hess, Fučik and the abovementioned [Hes74, AAM78, AM78, BN78, FH78]. Extensions to slowly decaying was given in [FK77, Hes77, Neč83], and more general versions in [RL95]; see [RL95] for more references and a survey on the development of solvability conditions, and in general also [Run90, RR96].
Here the generalised Landesman–Lazer conditions of [RL95, RR96] are extended to the and with running in the full , including the range 1<s<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}; various other improvements in this extension are collected in Remarks 2.4–2.6 below.
Contents
2. Main results and notation, 3. Composition estimates, 4. Proof of the regularity theorem, 5. The existence results and 6. Final remarks.
2. Main Results and Notation
In general the notation and the spaces are described in Sections 2.1–2.2 below, so we proceed to present the results.
For convenience, we shall first of all let stand for a space which can be either or . Hereby we avoid repetition when properties in the spaces carry over verbatim to the spaces (but must be understood in the case, of course).
Secondly, will denote the -realisation of . That is, for
[TABLE]
where or denotes the class of , the operator acts like in the distribution sense and it is defined for those that satisfy the boundary condition; hence
[TABLE]
For this is just the usual -realisation (in ), cf. [Gru86, Def. 1.4.1].
Thirdly, the problem is then given by the operator equation
[TABLE]
with sought in for a parameter satisfying (2.1).
In our treatment of (2.4) we build on results for the solution operator for derived in Section 4.1.2 below from [Joh96], where the Boutet de Monvel calculus of pseudo-differential boundary operators is extended to the and spaces. See also [Joh93, Ch. 4] for this.
Another basic ingredient is the results for composition (or Nemytskiĭ) operators , written for short, that have been derived in [Sic89] and [Run86]; see also [Run85]. For an overview concerning the Bessel potential spaces see [Sic92], and for more results [RS96].
Once the function is given, it is natural to ask for the parameters such that and both make sense on and such that respects the continuity properties of on ; i.e. we could introduce
[TABLE]
which would provide a domain of parameters for the non-linear operator in the sense that it goes from to for each — through , even with a good control over .
However, our results only allow us to treat a slightly smaller set denoted and characterised in the following:
Theorem 2.1**.**
Let be an admissible parameter for which the following conditions are fulfilled:
[TABLE]
Then (i) and (ii)–(iii), respectively, assure that
[TABLE]
are bounded for some .
Moreover, in the case, (ii) alone implies that (2.7) holds for and equal, for any , to
[TABLE]
For with it is possible to take , for any .
When (i)–(iii)* hold, we say that belongs to .*
This theorem gives sufficent conditions for to be of a lower order than , so it may be termed the Direct Regularity Theorem for (1.1).
In comparison with (2.5), we have excluded borderline cases with equality in (i) and values of between {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n and {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-\frac{p}{1-p}. The latter restriction is felt in a small set of ’s, for in (ii) it only applies for and in this region s>r+{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n is stronger to begin with (since or ) and afterwards the second requirement in (iii) quickly takes over, cf. Figure 1. The first part of (iii) is stronger than s>{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-\frac{p}{1-p}, hence stronger than (ii). Exceptions for , , or are given in Remarks 3.2–3.5 below.
It is expected, but not proved, that the function in (2.8) may be used in (2.7) also for , and even then also in the Besov case.
Nevertheless the function gives the right understanding of the conditions (ii)–(iii) (the sum-exponents are less important because for ). On the one hand, (ii) gives either s>({\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n)_{+}, so that and hence makes sense, or s>{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-\frac{p}{1-p}, which may be seen to yield . Perhaps the latter condition is only proof-technical; it is used to make sense of products when estimating .
On the other hand, asking for the identity
[TABLE]
or for the level curve for the value of the loss-of-smoothness function , one finds
[TABLE]
which leads to (iii) with instead of the inequalities for .
In other words: condition (iii), or (2.10), determines a borderline to a region of spaces where the loss of smoothness equals or exceeds . Generally speaking this is correct, for if (iii) is violated by then , for example, cannot map into for any ; cf. Remark 6.1 below.
The identity in (2.10) describes a hyperbola in the ({\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}},s)-halfplane, that lies entirely in the area with 1<s<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}. Hence (iii) is relevant only for the consideration of unbounded solutions in (2.4).
To present an overview, the spaces for which the perturbation is studied in the present article are illustrated in Figure 1 (for simplicity only for ). The sum-exponent is not represented in the diagram, but because of the sharp inequalities in Theorem 2.1 and the existence of simple embeddings, does not have any influence.
The lines with and s={\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} are the asymptotes of the hyperbola, and for all points on this level curve,
[TABLE]
The interest of this is that for even the theory within the classical Sobolev spaces is affected by (iii) in Theorem 2.1. Actually should be taken outside of an interval of length , which is at least and for . Moreover, for each there are fulfilling (2.11), so restrictions occur also in the and spaces for such dimensions.
In addition to the general pattern described above, see Section 3.3 below for the atypical cases with , or .
At the moment it is not clear whether the condition s>{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-\frac{p}{1-p} is necessary or not, but in any case it won’t change the fact that the sets are non-convex, because already for the condition (iii) is best possible. We believe that the specific form of the ’s and in particular the non-convexity constitutes a novelty.
Because is possible in , the non-linear operator also respects the inverse regularity properties of on every with parameter in :
Theorem 2.2**.**
Let in solve
[TABLE]
for data in and suppose that
[TABLE]
Then the solution also belongs to the space .
To prove this we use Theorem 2.1 for and results for the Boutet de Monvel calculus in [Joh96] for . These tools are combined into a bootstrap argument, but one has to ‘go around the corner’ inside , because of the non-convexity; cf. Figure 2 below.
It is interesting to observe that the set — in contrast to Theorem 2.1 — is non-optimal with respect to , cf. Remark 6.5.
Concerning the solvability of the problem in (2.4) it is noted that the Fredholm properties of depend neither on the parameter nor on whether the or the spaces are considered.
That is to say, because of the ellipticity and the right-invertibility of , there exists two finite dimensional subspaces and of such that when s>r+\max({\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}}-1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n) the following holds:
[TABLE]
and is closed. This is a consequence of [Joh96, Thm. 1.3]; see Section 4 below for details. In particular is bijective for all admissible parameters if (and only if) it is so for one.
Among the conditions that assure solvability of (2.4) we consider:
- (I)
is invertible.
- (II)
For each bounded sequence in , \frac{1}{t}=({\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}}-\frac{s}{n})_{+}, and each -convergent sequence in with ,
[TABLE]
holds for some when for .
- (III)
Under the hypothesis of (II),
[TABLE]
holds for some when for .
It should be understood that means , except when is considered for where denotes any . This ensures in any case, cf. (2.28)–(2.31).
Both (II) and (III) are posed for each in with in ; since the requirements are void if is injective, (I) implies both of them. When is odd, holds, reflecting that then sends to if and only if is mapped to . If is even, then (II) holds for precisely when satisfies (III) for (and if and only if maps to , then).
Theorem 2.3**.**
Let fulfil (i)–(iii)* in Theorem 2.1, let be given in , and let satisfy (I), or let be self-adjoint and have one of the properties in (II) or (III) above. Then the equation*
[TABLE]
has at least one solution belonging to .
This generalises the -versions of (III) of Robinson and Landesman [RL95] and the - and -version of (II) in [RR96] to the case with in the full parameter domain as defined here. See Remarks 2.4–2.6 below for specific comparisons.
Simple cases of Theorem 2.3 are given in Examples 1.1–1.2 above. In addition, note that we can have, say, where is any eigenvalue.
One-dimensional examples may be found in e.g. [RL95]; they also elucidate the connection to other and earlier conditions, mainly formulated in terms of ’s properties and without reference to sequences. For the and conditions there is a similar treatment in [RR96]. Drawing on this, we do not give further examples on (II) and (III).
Concerning the proof we use when that to obtain Theorem 2.3 from the Leray–Schauder theorem. The remaining cases are reduced to this by a crucial application of Theorem 2.2, cf. Section 5.
Remark 2.4*.*
In (II) and (III) it suffices when and to consider sequences that are merely bounded in itself. Our proof gives this directly, but the -condition is convenient to state.
Remark 2.5*.*
Formally the requirements in (II) and (III) are weaker than those in e.g. [RL95] in the sense that the inequalities should hold for one in , and not for all eventually. However, it is easy to infer that this must be the case when (II) or (III) holds.
Seemingly (II) and (III) have not been considered simultaneously before.
Remark 2.6*.*
Extension to and of the conditions in [RL95] has been done by Robinson and Runst [RR96], but only for s>{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}. Conditions (II) and (III) are also more general in other respects. Most importantly, we have removed the additional assumption that for when has class . Secondly, (II) and (III) may by Remark 2.4 in some cases refer to the -norms (implying their -conditions when s>{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}); thirdly is assumed bounded, so that it is unnecessary to consider the case when their norms tend slower to infinity than .
2.1. Notation
For real numbers the convention is used. When is open, denotes the classes of functions whose power is integrable for , while gives the essentially bounded ones; stands for the locally integrable functions.
When is open, denotes the infinitely differentiable functions; the subspace of for which derivatives of any order are bounded. is the Schwartz space of rapidly decreasing functions; its dual of tempered distibutions. The Fourier transformation is extended to by duality. The Sobolev–Slobodetskiĭ spaces are defined by derivatives and differences thereof for and ; the Bessel potential spaces for , . Besov and Triebel–Lizorkin spaces are written and with while , , except that is required for .
The subspaces of real-valued elements are all denoted by the same symbols as the complex ones, for throughout we only consider the former versions.
For open sets the corresponding spaces are defined by restriction, that is etc. Hereby is the transpose of , the extension by [math] outside of . Spaces over are given the infimum (quasi-) norm. Similarly for . For the testfunction space the dual is written , and for and . The spaces over are defined by means of local coordinates.
2.2. The spaces
In the following is suppressed as the underlying set.
First a partition of unity, , is constructed: From , such that for and for , the functions , with for , are used to define
[TABLE]
Secondly there is then a decomposition, with (weak) convergence in ,
[TABLE]
Now the Besov space and the Triebel–Lizorkin space with smoothness index , integral-exponent and sum-exponent is defined as
[TABLE]
respectively. For the history of these spaces we refer to Triebel’s books [Tri83, Tri92]. Identifications with other spaces are found in Section 1.
In the rest of this subsection the explicit mention of the restriction concerning the Triebel–Lizorkin spaces is omitted. E.g., (2.23) below should be read with in the part and with in the part.
The and are complete, for and Banach spaces, and are continuous. Moreover, is dense in when both and are finite, and is so in for .
The definitions imply that , and they give the existence of simple embeddings for and and ,
[TABLE]
There are Sobolev embeddings if s-{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}\geq t-{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle r}}} and , more specifically
[TABLE]
Furthermore, Sobolev embeddings also exist between the two scales, in fact under the assumptions and s_{0}-{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{0}}}}=s-{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}=s_{1}-{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{1}}}},
[TABLE]
When denotes the bounded uniformly continuous functions on , then
[TABLE]
whereas
[TABLE]
Moreover, when n({\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}}-1)_{+}\leq s<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} one has, with \tfrac{n}{t}={\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-s, that
[TABLE]
for this is provided that for and that for . Correspondingly
[TABLE]
where can be included in general when . For one has for and .
For an open set the space is defined by restriction,
[TABLE]
By the definitions all the embeddings in (2.23)–(2.31) carry over to the scales over . When the inclusion gives
[TABLE]
for , say smooth and bounded; cf. [Joh95a] for a proof (in full generality).
Proposition 2.7**.**
For and there exists such that
[TABLE]
when in (2.35) and and {\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle q}}}={\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle q_{0}}}}+{\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle q_{1}}}} in (2.36), respectively.
Proof.
Using Littlewood–Paley decompositions, this may be proved in the same manner as [Joh96, Prop. 2.5] (where was treated). ∎
Example 2.8**.**
Precisely when does
[TABLE]
Indeed, since , where is the Heaviside function it suffices to consider . Since is homogeneous of degree [math], is in B^{{\frac{1}{\raise 1.0pt\hbox{\scriptscriptstyle p}}}-1}_{p,q} if and only if is in . But since
[TABLE]
and is in , it is in for .
Example 2.9**.**
By the proposition and Example 2.8, with in for , one has for
[TABLE]
for tensoring instead with , the characteristic function of a bounded set with , which is in , yields the same restriction to .
3. Composition Estimates
Here we prove Theorem 2.1 and substantiate the remarks made after it.
3.1. Proof of Theorem 2.1
That is bounded as in (2.6) when (i) holds is well known. Concerning the standard traces and one can consult [Tri83, Thm. 3.3.3], and in general this is combined with the fact that and has order and , respectively, in both and .
Secondly, it suffices to show (2.8) for , for the fact in (2.7) that is sent into for some is a consequence of this. Indeed, given the property in (2.8) it follows at once that (2.7) holds if s>{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} or if does so: for any one can take and use embeddings, e.g.
[TABLE]
when is so big that s-\frac{\varepsilon}{k}>{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} and s-\frac{\varepsilon}{k}>\max(0,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-\frac{p}{1-p}). For , or in the -case even for s={\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}, a similar argument applies.
For 1<s<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} we consider for fixed , that is
[TABLE]
which measures the loss of smoothness under . (There exists for a such that , cf. Remark 6.1.) Since
[TABLE]
where the discriminant D=({\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-3)^{2}-8, it is found that holds
[TABLE]
this is condition (iii) in the theorem, for holds when {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}\geq 3+\sqrt{8}. Observe that (\sqrt{{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}}-1)^{2}=\max\{\,d(s)\mid 1<s<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}\,\}, and that this equals for {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}=3+\sqrt{8} since then. If {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}<3+\sqrt{8}, then (\sqrt{{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}}-1)^{2}<2.
For a given with 1<s<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} and (iii) satisfied we can now take so that and obtain
[TABLE]
which gives (2.7) in this case. Moreover, the fact that (ii),(iii) and 1<s<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} specify an open set of parameters together with the continuity of gives an such that , and then
[TABLE]
holds for any .
Finally, when s={\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} in the -case an argument similar to (3.7), but with , works because \lim_{s\to{\frac{n}{\raise 1.0pt\hbox{\scriptscriptstyle p}}}_{-}}\sigma(s,p)={\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}=s. The statement on follows analogously if the effects of (iii) are disregarded, for in (3.1) ff. any and in (3.7) ff. any may be obtained. Similarly is always possible.
It remains to show (2.8). Here we draw on the literature, where has been considered by many. On the condition is posed in order to have also for , so strictly speaking we should replace by ; this is harmless because belongs to .
Once boundedness has been established on through an inequality like
[TABLE]
this carries over to by restriction: if for , then restricts to . Thus it suffices to consider .
For s>{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} it was shown in [Run86] that for every real-valued ,
[TABLE]
when , cf. Theorem 5.4.2 there. Here the general assumption that for every is used to obtain independent of .
When ({\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n)_{+}<s<1 the estimate in (3.8) is, with and , a well-known easy consequence of the characterisation of by first order differences, cf. [Tri92, Thm. 3.5.3] and the estimate
[TABLE]
The cases with 1<s<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} are covered by [Sic89, Lemma 3], even with a sharper result in Theorem 1 there when s>1+({\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n)_{+}. In fact this lemma yields (3.8) for \sigma(s,p)=\frac{{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}}{{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-s+1} and , provided that 1<s<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} and \sigma(s,p)>({\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n)_{+} hold. By definition for , so this is trivially true for ; for the assumption s<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} gives that
[TABLE]
so the second line of (ii) is found from the requirement \sigma(s,p)>({\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n)_{+}.
Finally, for we reduce to the case with by an arbitrarily small loss of smoothness; for s={\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} a reduction to 1<s<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} works because \lim_{s\to{\frac{n}{\raise 1.0pt\hbox{\scriptscriptstyle p}}}_{-}}\sigma(s,p)={\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}=s. The proof of Theorem 2.1 is complete.
We include a few observations on the curve determined by (3.3) for {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}>0. For the auxiliary function ,
[TABLE]
whereas satisfies
[TABLE]
Thus s={\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} and are the asymptotes as claimed. The curve itself is a branch of a hyperbola since the equation in (3.3) may be written
[TABLE]
where the matrix is symmetric and indefinit as the determinant is .
3.2. A lemma on continuity
The boundedness obtained for above means that every bounded set of is mapped into a bounded set in . Although is non-linear, this boundedness does imply a norm continuity if one can afford to loose a little smoothness.
For the reader’s convenience we include the next lemma, which is used in Section 5 below; it extends [Sic92, 3.1] and simplifies [RS96, Lem. 5.5.2]:
Lemma 3.1**.**
When is as above, and with , then boundedness, for some s>({\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n)_{+}, and some , of
[TABLE]
implies norm continuity of
[TABLE]
Proof.
In the Besov case one has, when , that
[TABLE]
for some , cf. [Tri83, Thm. 3.3.6]. When
[TABLE]
since then. In an estimate like (3.10) is applicable, and thereafter may be used (for this embedding is based on the assumption s>{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n). Thus the first factor on the right hand side tends to [math] for in while the second remains bounded by (3.15).
In the case, is bounded, so analogously
[TABLE]
is continuous for any . Then (3.16) follows. ∎
3.3. Interrelations between conditions (i), (ii) and (iii)
Remark 3.2*.*
In the definition of the condition:
[TABLE]
in (ii) of Theorem 2.1 is always redundant when has class .
Indeed, since one has
[TABLE]
it is clear that when satisfies (i) for , then (3.20) holds if either , or if when .
Therefore, when (i) and (iii) hold for , then it suffices to verify for and that the first inequality in (iii) poses a stronger condition than (3.20). This follows from Remark 3.5.
Remark 3.3*.*
For condition (i) in Theorem 2.1 amounts to
[TABLE]
since . Therefore any in satisfies , and both (ii) and (iii) hold when (i) does so.
Hence Figure 1 is misleading for , and in fact
[TABLE]
which in contrast to the general case (for ) is convex.
Remark 3.4*.*
Also gives an exception from the overview after Theorem 2.1.
In this case is still not convex for , but (ii) implies (iii), so that the curved boundary is given by s={\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-\tfrac{p}{1-p}. See Remark 3.5 below for the details.
Moreover, for it follows from Remark 3.2 that even (ii) is redundant, cf. (3.21), and hence
[TABLE]
Evidently this is convex, so also this case deviates from the general pattern.
Remark 3.5*.*
Among the requirements in Theorem 2.1, the condition
[TABLE]
when they both apply, that is for {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}\in\,]\max(n,3+\sqrt{8}),\infty[ and . The exceptions are for in which case in the narrow interval with 3+\sqrt{8}\leq{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}<6 and in general for .
Observe first that and are redundant for by Remark 3.3. To analyse when for , consider
[TABLE]
when and as well as . Notice that the left hand side equals and is negative when
[TABLE]
the discriminant is . Thus (3.25) always holds for when . Here and .
For it is found by taking squares that
[TABLE]
The last inequality is false for , and since it is proved that for .
Since and are the roots of the polynomial , the implication holds for all precisely when
[TABLE]
does so. A straightforward calculation shows that
[TABLE]
so (3.28) holds for all . In addition while \tfrac{n(n-1)}{n-2}\big{|}_{n=3}=6, so by (3.27) the inequality (3.25) holds for when .
Altogether this shows that, except for and a small interval for , the condition s>{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-\frac{p}{1-p}, that is \cal O({\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}), only interferes with the second requirement in (iii). In other words, when the domains are for {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}\geq 6 only defined by the stronger condition .
4. Proof of the Inverse Regularity Theorem
Before the regularity properties of Theorem 2.2 are proved in Section 4.2 below, we review the prerequisites on elliptic problems in Besov and Triebel–Lizorkin spaces for a better reading.
4.1. The Boutet de Monvel calculus
There are two sources for elliptic theory in the full and scales; the Agmon–Douglis–Nirenberg theory has been extended in [FR95], but this is not quite adequate here, cf. Remark 4.3. Instead we use the pseudo-differential boundary operator calculus, which was generalised to these spaces in [Joh96] and [Joh93, Ch. 4].
As a general introduction to the calculus there is [Gru91] and the introduction and Section 1.1 in [Gru86].
4.1.1. Green Operators
In a systematic approach to boundary problems, the basic ingredient to study is a matrix operator
[TABLE]
where is the truncation to of a pseudo-differential operator on , is a Poisson operator, is a trace operator, is a pseudo-differential operator in whilst is a singular Green operator.
As examples of (4.1), or of the so-called Green operators, one can take
[TABLE]
whereby since they are column matrices, or their parametrices
[TABLE]
(when is elliptic); hereby because of the row-form.
For realisations like considered above a variety of results follow easily from a study of , so we focus on the latter operator to begin with.
To get a good calculus of Green operators like above, Boutet de Monvel [BdM71] introduced first of all the requirement that should have the transmission property at . That is to say, for , should map into itself — when merely belongs to the Hörmander class , then (since the singular support of , for , as a subset of , is not felt after application of ); thus the transmission property rules out blow-up at .
Secondly, the notion of singular Green operators was introduced in order to encompass solution operators; e.g., when the inverse of is denoted , then is not a truncated pseudo-differential operator. In fact, , where the compensating term is a singular Green operator equal to .
For the precise symbol classes of , , , and , with the uniformly estimated class as the basis, the reader is referred to [GK93]. A discussion of the transmission property is found in a work of Grubb and Hörmander [GH91]; let us also mention [Gru91], [Joh96, Sect. 3.2] and Section 1.2 in the second edition of [Gru86].
We proceed to state relevant properties of . Further details and proofs are given in [Joh96]. Specialising to with and as in Section 1, is of order , and ( and being redundant, i.e. ) is of order and class or . Then
[TABLE]
are bounded when s>r+\max({\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}}-1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n).
The assumed ellipticity of in the sense of the calculus amounts to
- (I)
’s principal symbol, , is non-zero,
[TABLE]
- (II)
the principal boundary symbol operator ,
[TABLE]
is a bijection for each and .
Here is defined from the principal part of by means of local coordinates in which is a subset of ; there is set equal to [math] and is replaced by when .
The ellipticity assures the existence of a parametrix , that is, another Green operator in the calculus such that
[TABLE]
for negligible operators and ; i.e. Green operators of order . Although is purely differential, has the form where for a truly pseudo-differential operator with transmission property at and a non-trivial singular Green operator. The orders of and are and , respectively, while may be taken of class (best possible), cf. [Gru90, Thm. 5.4]. Hence, by (4.4)–(4.5),
[TABLE]
are bounded for s>r+\max({\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}}-1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n).
Using it may be shown that there exist two finite-dimensional subspaces
[TABLE]
(and that is closed) such that whenever s>r+\max({\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}}-1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n),
[TABLE]
In other words, the kernel of is -independent and the range complement may be picked with this property.
4.1.2. Realisations
For in (2.2)–(2.3) the subspaces and defined by make sense for s>r+\max({\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}}-1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n), and
[TABLE]
is bounded for such , by (4.4) and (4.5).
Ellipticity of means that is elliptic, i.e. that (I) and (II) are satisfied. In the elliptic case even has a parametrix, say ; it is of the form , where is a parametrix of on and is a singular Green operator, both of order and of class , so
[TABLE]
is bounded whenever s>r+\max({\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}}-1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n) by the general result in (4.4)–(4.5). More importantly, can be taken so that
- •
maps into ;
- •
both and have finite-dimensional ranges in .
This follows as in [Gru86, Prop. 1.4.2]; when or one can modify the order and class reduction in (1.4.14) there, as in [Gru90, (5.32)].
For the Fredholm properties of one has obviously that , but it is a point to show that is complemented also for , in which case is not locally convex. However, when has a Poisson operator as a right inverse, i.e. , then
[TABLE]
may be used in a way similar to the proof of [Gru86, 4.3.1] to get
Lemma 4.1**.**
* When is admissible and is a range complement of , then is closed while and .*
* A subspace is a range complement of for some if and only if it is so for every admissible for .*
Proof.
As in [Gru86, 4.3.1], is seen to be injective on , hence , and to be linearly independent of . Then, using the quotient onto , follows. But a finite dimensional equals for some linearly independent of and with (since is linearly independent of ). Altogether , so is closed by [Hör85, 19.1.1] (carried over to by [Rud73, 1.41(d)+2.12(b)]) and complemented by .
Since , is possible for dimensional reasons. By Theorem 1.3 or 5.2 of [Joh96], is a range complement for every ; by , so is . ∎
Existence of such a is assured when is normal; see Proposition 1.6.5, Definition 1.4.3 and Remark 1.4.4 in [Gru86]. For normality means that , where is a function without roots on ; when , is normal when is such a zero-free function.
Finally, one can in this case project onto the kernel and range of .
Proposition 4.2**.**
Let be an elliptic realisation of as described above, with a right inverse of (or normal).
For each range complement and each s>r+\max(\frac{1}{p}-1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n) there is a continuous idempotent
[TABLE]
When is an -orthonormal basis for ,
[TABLE]
and projects onto whenever s>r+\max(\frac{1}{p}-1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n).
Furthermore, when is self-adjoint in , one can take for every as above and then (4.18) holds even on .
Proof.
When (2.15) holds [Rud73, Thm. 5.16] gives the existence and continuity of . This does not just carry over to , for application of, say, [Rud73, Lem. 4.21] requires local convexity.
However, the given is defined for when s>r+\max(\frac{1}{p}-1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n), for since we have so that , is defined and
[TABLE]
continuity of follows. By construction and .
When in , then is a range complement in by the lemma. Consider first . Then the inequality for implies that is contained in the dual of some , and analogously to the above is a continuous projection in onto .
For elements of e.g. may occur in (4.18). However, implies : evidently where and is a function on (being a differential operator of order [math] by assumption), and cannot have any zeroes because has a right inverse. Thus .
So when s>1+\max(\frac{1}{p}-1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n), the space is embedded into some with s_{1}>1+\max({\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p_{1}}}}-1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{1}}}}-n) and , . The latter is dual to when , {\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p_{1}}}}+{\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p_{2}}}}=1 and {\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle q_{1}}}}+{\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle q_{2}}}}=1, and since , in (4.18) is defined on , hence on . Again is bounded and idempotent. ∎
4.2. Proof of Theorem 2.2
We now turn to one of the main subjects in this article: the Inverse Regularity Theorem for the problem in (1.1). For the proof the bootstrap method in [Joh93, Joh95b, Joh] is extended to overcome the difficulties caused by the non-convexity of .
Basically the non-linear estimates and the elliptic theory is used as follows: suppose in is a solution of
[TABLE]
for in with both and in . Then , the parametrix of introduced in (4.15) ff., is bounded
[TABLE]
because . Thus can be applied to the right hand side of (4.20), hence to the left hand side. By Theorem 2.1 and (4.14), both and are in , and so acts linearly on the left hand side of (4.20). After a rearrangement, cf. Remark 4.3 below, we get
[TABLE]
where is an operator with range in .
Since for some by Theorem 2.1, one may now search for large enough to contain , and thus
[TABLE]
Then , and this fact is used to get a new knowledge about and then for itself. Thus we seek spaces , , …containing , and the task is to obtain for some .
Obviously it is irrelevant for the application of whether we consider in the subspace or not, so for simplicity we use the full space .
Furthermore we shall first treat the case where and ; the other cases follow from this at the end. This allows us to work with the function from (2.8), or more relevantly
[TABLE]
which measures the deviation of ’s order from that of . Thus above (4.23) should be replaced by , but for convenience we let in the following.
4.2.1. The Worst Case
The sets corresponding to in [Joh93, Joh95b, Joh] are all convex, so to begin with we first consider the case when
[TABLE]
cannot be connected by a straight line in the ({\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}},s)-plane. The worst case is when this is caused by the hyperbola defined by condition (iii) in Theorem 2.1. (The other possibility stems from the condition s>{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-\tfrac{p}{1-p}.)
If we note that also s_{1}+\delta_{1}-{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{1}}}}>s_{0}-{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{0}}}} (otherwise there would be a connecting straight line), and therefore is embedded into . Thus is possible and the conclusion (reached above) that is already the desired one.
For the case we explain our procedure in the following; Figure 2 illustrates the strategy. Observe first that for the inequality
[TABLE]
may be either true or false. If it is false, the point ({\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{k}}}},s_{k}+\delta_{k}) lies above the line of slope through ({\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{0}}}},s_{0}), hence these points can be connected by a straight line; this situation is treated further below in Subsection 4.2.2 (and also illustrated in Figure 2). We proceed to show that (4.26) is false eventually for a certain choice of the parameters for .
Suppose therefore that for some we have shown that is in a space fulfilling the inequality in (4.26) and . There are three possibilities for the definition of , cf. – below that apply in the given order (possibly or even and is redundant).
First we consider the case where
[TABLE]
both hold. Then we take a Sobolev embedding
[TABLE]
with {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{j+1}}}}={\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{j}}}}-\delta_{j}; this is possible since the inequalities follow from (I) and . Moreover we let
[TABLE]
and it is seen that and result from (4.30) for all . By the definition of , and since (4.26) for and are assumed to hold, it is clear that we have , and hence
[TABLE]
For this space containing we find
[TABLE]
because by Theorem 2.1 is a non-decreasing function of , so that the gain in (4.32) is bounded from below by the amount ; in addition since . After finitely many steps either (I) or (II) is false (because {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{j}}}} is decreasing with ), in which case we proceed by and , or (4.26) itself is false.
When (I) is false but (II) is true, {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{0}}}}\leq 3+\sqrt{8} (otherwise 3+\sqrt{8}<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{j}}}} and since is at most , then (I) would be true). Now a Sobolev embedding as above is impossible since (I) is false, but we take a ‘shorter’ one into E^{s_{j}+\delta_{j}-{\frac{n}{\raise 1.0pt\hbox{\scriptscriptstyle p_{j}}}}}_{\infty,q_{j}} and let this have parameter . That {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{j+1}}}}=0 gives , so
[TABLE]
and the gain is at least . This construction is at most used once, for either it makes (4.26) false or it brings one to the third case (since {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{j+1}}}}=0).
When (II) is false we observe first that for all if {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{j}}}}<3+\sqrt{8}. Indeed, as noted after (3.5), \max d(s)=(\sqrt{{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{j}}}}}-1)^{2} and
[TABLE]
so if {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{j}}}}<3+\sqrt{8} we have for all s\in\,]1;{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{j}}}}[, and hence (regardless of whether 1<s<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{j}}}} or not).
Now if {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{j}}}}=3+\sqrt{8} there is the freedom to make a single Sobolev embedding of (thereby defining without any gain), so we can assume that
[TABLE]
whenever (II) is false. Then for all as noted first.
Now we simply go upwards, that means we let
[TABLE]
Because (4.26) holds for , there is an embedding since also holds by the negation of (II). Again , only this time with a gain . Since {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{k}}}}={\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{j}}}} for all in this procedure, (II) remains false; and we have for all , so (4.26) is violated in a finite number of steps.
Consequently, when the are defined as above, then for a finite the function belongs to some for which (4.26) false. Moreover, , for it is clear (but tedious to prove) that this set is stable under , and above.
However, this means that the considered case has been reduced to one of those treated in the next subsection.
4.2.2. The Main Argument
We return to a sketch of the full proof, which eventually would go through the same cases as those considered in [Joh]; there a proper exposition for problems of product-type is given. [Joh95b] gives a concise presentation of the ideas, which originated in [Joh93].
First of all, if and in (4.22) with
[TABLE]
then there is actually an embedding , so from (4.22) it follows that (as also used in the beginning of Subsection 4.2.1).
Secondly, there is the case with
[TABLE]
(This, and (4.37), is the one that the worst case was reduced to in Subsection 4.2.1 above.) The spaces considered for this case in [Joh] all have ({\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{j}}}},s_{j}) lying on or above each of the two lines and s={\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}+s_{0}-{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{0}}}}, so it is geometrically clear that all these belong to . See also Figure 2 after the first horizontal arrow. Hence, by [Joh], we obtain .
Thirdly, when
[TABLE]
already defined as in (4.26) may be outside of because the condition may be violated.
However, it is a main point of [Joh93, Joh95b, Joh] that such problems can be overcome if satisfies additional conditions, and these can be verified in our case. (Phrased briefly, should be defined on : when the problem occurs for , then . For , makes sense on as soon as and , for has order [math] on , where is defined; and if , then , and .) Non-convexity problems do not occur either.
Finally, when the spaces are such that
[TABLE]
the procedure in [Joh] is just to go upwards as in (4.36). Evidently this may be inappropriate here if {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{1}}}}\geq 3+\sqrt{8}, as one will hit the bulge defined by condition (iii) in Theorem 2.1.
However, as described in the worst case analysis in 4.2.1, it is possible first to move left of {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}=3+\sqrt{8} (), if necessary make sure that {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{j}}}}<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{0}}}} too (), and then move upwards until a reduction to (4.37) or (4.38) is achieved (, with an intermediate step if some {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{j}}}} equals ).
In general the strategy of [Joh] in this case is to move upwards until (4.40) is not valid any longer (with and replacing and ), thus obtaining a reduction to the cases in (4.37),(4.38) and (4.39). The procedure in Subsection 4.2.1 serves the same purpose, so the argument of [Joh] may be applied the rest of the way to get also in this situation.
Finally, note that is an open set defined by sharp inequalities, so we can weaken the assumption on slightly to begin with. Thus it is not a restriction to assume .
Since and for small enough, according to the proof given above. So by (4.23) and the fact that is possible near , we get .
Altogether this completes the proof of Theorem 2.2.
Remark 4.3*.*
Although the basic formula (4.22) is not surprising, it has to be derived in the indicated way, for if one rearranges before the application of , then may be undefined on (that contains ). Moreover, in such cases the usual regularity statements for elliptic problems cannot be used, so then it is necessary to utilise the parametrix .
5. The Existence Results
From the Leray–Schauder theorem we now deduce that solutions exist as described in Theorem 2.3.
It suffices to treat the case where the data space has the form
[TABLE]
To see this, we may for the actual data space use a Sobolev embedding
[TABLE]
when s-{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}<2 (since s_{1}-2-{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{1}}}}<0 in (5.1)); for s-{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}\geq 2 one can take
[TABLE]
For the corresponding solution spaces the inclusion for t^{-1}=({\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}}-\frac{s}{n})_{+} carries over to for the same ; that is, both (II) and (III) are invariant under the reduction.
So when (5.1) is covered, there is to any a solution , for it is easy to see that is or may be taken in (as for (i), should be taken in the gap between the lines s=r+{\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}}-1 and (then follows since s-{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}>r-n by (i)); (i) implies (ii), and (iii) is redundant for ).
But then, from the assumption , we infer from Theorem 2.2 that belongs to .
So consider some in with and .
When in , the space with may be used as a range complement for for every according to Proposition 4.2. Moreover, with it is clear that , and since by restriction is a bijection from to , there is an inverse of this, that is
[TABLE]
These facts apply formally equally well to the case when is invertible.
Obviously is equivalent to the system
[TABLE]
when , and . Here the transformation
[TABLE]
is continuous on by Lemma 3.1 and maps bounded sets to compact ones because does so from to . So by the Leray–Schauder theorem (5.6) is solvable for , if there exist and in such that for every any solution satisfies
[TABLE]
Assuming a solution of (5.6) does not exist for , then (which holds by (2.34) since ) and (5.6) gives
[TABLE]
hence does not exist. Thus there is for each a solution of (5.6) for some such that
[TABLE]
Passing to a subsequence if necessary, a sequence of solutions to (5.6) is found such that and
[TABLE]
Here it is used that all norms on are equivalent. Furthermore, we can assume that for some ,
[TABLE]
indeed, by (5.11) a subsequence converges w∗ in and, because is finite dimensional, also uniformly with limit in .
By (5.11), is not invertible. Moreover, because may be approximated from and because is -selfadjoint. With , then the fact that is a solution of (5.6) gives
[TABLE]
or equivalently
[TABLE]
Because , the right hand side is strictly negative, so since is bounded in and is arbitrary, (II) does not hold.
Replacing by in (5.6) yields (5.14) with instead of ; hence (III) does not hold either. The proof is complete.
6. Final Remarks
Remark 6.1*.*
As mentioned in Section 2, the function is conjectured to give the best possible smoothness index of , the codomain of applied to , even for any , and any s>\max(0,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n).
On the one hand, for 1<s<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}, this is known to be correct if e.g. , for then when there exists with . For this we refer to [Sic89] and the more extensive treatment in [RS96].
On the other hand need not be periodic, cf. the classes introduced in [RS96]; there isn’t complete freedom since evidently acts on .
However, for a subrange of 1<s<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}, only this has that property, as proved by Dahlberg [Dah79] for the , and this function moreover falls outside , in which we seek in the present article. Thus it requires further knowledge on to have another boundary for the parameter domain than the hyperbola in (iii) of Theorem 2.1.
Remark 6.2* (Quasi-Banach spaces).*
Our existence results are all based on the Leray–Schauder theorem, although the spaces are merely quasi-Banach when or ; but the theorem was applied for , , for in (5.2) ff. we reduced to this case by means of the regularity result in Theorem 2.2. However, the mapping degree has been extended to the full Besov and Triebel–Lizorkin scales (although this was not used here), cf. [FR87].
Theorems 2.2 and 2.3 are based on the linear elliptic theory in [Joh96], where the Fredholm properties for and are obtained from a reduction, this time by embeddings, to the Banach cases with , ; cf. [Joh96, Rem. 5.1]. In addition one can extend the Fredholm concept to quasi-Banach spaces with separating duals as in [FR95].
Remark 6.3* (Continuity vs. boundedness).*
In the definition of it suffices to require bounded , for this is the only relevant property for whether or is the dominant operator. Hence continuity of is not needed in Theorem 2.2, whereas it is for Theorem 2.3, in which case it is provided by Lemma 3.1 at once.
Remark 6.4*.*
The present pseudo-differential approach to the inverse regularity properties has predecessors for simpler problems of product-type, primarily the stationary Navier–Stokes equations with various boundary conditions, cf. [Joh93, Joh95b, Joh]. Comparisons with the present problem are made in the beginning of Section 4.2 and Subsections 4.2.1 and 4.2.2.
Remark 6.5* (Data beyond the borderline).*
In Theorem 2.2 the conclusion can be obtained even for in some outside of , at least when with . More precisely, a range of violating (iii) in Theorem 2.1 can then be treated. E.g. if this is trivial since in (4.23) then.
More generally one could ask for with outside of . We have an argument based on interpolation and composition estimates with fixed and variable that yields provided is close to — but we omit the details here.
However, this emphasises that direct regularity properties like those in Theorem 2.1 and inverse regularity properties, of which there are some in Theorem 2.2, should be analysed separately, since for non-linear problems these notions allow different sets of parameters to be considered.
Acknowledgements
This work was done partly during the first author’s stay at the Friedrich–Schiller University of Jena, and J. Johnsen is grateful for the warm hospitality he enjoyed at the Mathematics Department there. In addition we thank W. Sickel and S. I. Pohožaev for discussions on the subject.
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