Regularity properties of semilinear boundary problems in Besov and Triebel--Lizorkin spaces
Jon Johnsen

TL;DR
This paper investigates the regularity and existence of solutions to semi-linear elliptic boundary problems, including Navier--Stokes equations, within Besov and Triebel--Lizorkin spaces, addressing challenges posed by complex boundary conditions.
Contribution
It provides new regularity and existence results for semi-linear elliptic boundary problems in advanced function spaces, handling high-class boundary conditions.
Findings
Established regularity results in Besov and Triebel--Lizorkin spaces
Addressed boundary condition difficulties for complex boundary classes
Applied results to stationary Navier--Stokes equations
Abstract
Semi-linear elliptic boundary problems with non-linearities of product type are considered, in particular the stationary Navier--Stokes equations. Regularity and existence results are dealt with in the Besov and Triebel--Lizorkin spaces, and it is explained how difficulties occurring for boundary conditions of a high class may be handled.
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Differential Equations and Boundary Problems · Advanced Mathematical Physics Problems
Regularity
properties of semilinear boundary problems in Besov and Triebel-Lizorkin spaces
Jon Johnsen
Mathematisches Institut
Friedrich–Schiller–Universität Jena
Mathematical Institute, University of Copenhagen, Universitetsparken 5, DK-2100 Copenhagen O, Denmark
Supported by the Danish Natural Sciences Research Counsil, no. 11–1221–1.
Appeared in Journées ‘‘Équations derivées partielles’’, St. Jean de Monts 1995 (Palaiseau, France 1995), pp. XIV1--XIV14.
Abstract: Semi-linear elliptic boundary problems with non-linearities of product type are considered, in particular the stationary Navier–Stokes equations. Regularity and existence results are dealt with in the Besov and Triebel–Lizorkin spaces, and it is explained how difficulties occurring for boundary conditions of a high class may be handled.
1. Summary
For simplicity’s sake the following two model problems are considered on a bounded open set , where and is -smooth: first there is the Dirichlét problem
[TABLE]
Here and . Secondly there is the corresponding Neumann problem
[TABLE]
where with denoting the unit outward normal vectorfield near . For the stationary Navier–Stokes equations and other problems, see Theorem 1.3 and Section 6.
The regularity of the solution is studied here together with the question of carrying over weak solutions to other spaces. To obtain a unified treatment of various well-known scales of function spaces, the Besov spaces are considered together with the Triebel–Lizorkin spaces ; hereby and and in general, although is required throughout for the spaces.
Among the various identifications, recall eg that for (the Hölder–Zygmund spaces); for , (Sobolev–Slobodetskii); for , (Bessel–potentials) so in particular this encompasses the and ; for (local Hardy space). The scales coincide when , so is the usual Sobolev space for .
On the spaces are defined by means of Littlewood–Paley decompositions, etc denotes the restriction to ; on local coordinates are used. A concise review of the definition and the properties of the Besov and Triebel–Lizorkin spaces is given in [11], so details are omitted here; for a proper exposition the reader is referred to the books of H. Triebel [14, 15] and to Theorems 3.6 and 3.7 in M. Yamazaki’s article [16].
For the Dirichlét problem above there is the following result:
Theorem 1.1**.**
Let in be a solution of (1.1) for data in and in B^{t-{\frac{1}{\raise 1.0pt\hbox{\scriptscriptstyle r}}}}_{r,r}(\Gamma), and suppose that
[TABLE]
Then is also an element of .
Analogously, if , and \varphi\in B^{t-{\frac{1}{\raise 1.0pt\hbox{\scriptscriptstyle r}}}}_{r,o}(\Gamma), then (1.3)–(1.4) imply that .
The conditions (1.3)–(1.4) in the theorem are natural, for both and make sense on and when (1.3) holds. Actually is even ‘better behaved’ on these spaces than then; this is made precise below by taking a specific such that .
If one denotes and , problem (1.1) becomes . Then, if and , ie if respects the direct regularity properties of at and , the theorem asserts that also respects the inverse regularity properties of at these two parameters. Moreover, this holds for both of the and scales.
For the Neumann problem , where , there is
Theorem 1.2**.**
Let in be a solution of (1.2) for data and \varphi\in B^{t-1-{\frac{1}{\raise 1.0pt\hbox{\scriptscriptstyle r}}}}_{r,r}(\Gamma), and suppose that
[TABLE]
Then belongs to . The analogous result holds in the spaces.
It turns out that Theorem 1.2 is rather more complicated to prove than Theorem 1.1. The reason for this is that the requirement is replaced by s>{\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}}+1 (because of ), which is ‘bad’ in its -dependence. Roughly speaking, this means that if , then need not satisfy (1.5) even if both and do so. As outlined in Section 5 below the fine theory of pointwise multiplication provides estimates of , that may be used to overcome the difficulties.
Instead of the model problems above, the methods may be applied to eg the stationary Navier–Stokes equations. For each of the five boundary conditions considered in [7] one finds regularity results for the solutions that correspond to either Theorem 1.1 or Theorem 1.2. See [9, Thm. 5.5.5] or [8] for this.
In addition the existence of weak solutions of the Dirichlét problem may be carried over to the and spaces in this way. In more details the problem is:
[TABLE]
Here the solution and the data are sought such that
[TABLE]
for s>\max(\frac{1}{2},{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-1+\frac{1}{2}\delta_{n2}); observe that the problem in (1.1) may serve as a model problem for (1.6). For the spaces the requirement is the same, but again B^{s-{\frac{1}{\raise 1.0pt\hbox{\scriptscriptstyle p}}}}_{p,q}(\Gamma) should be replaced by B^{s-{\frac{1}{\raise 1.0pt\hbox{\scriptscriptstyle p}}}}_{p,p}(\Gamma).
Concerning the existence of solutions when there is:
Theorem 1.3**.**
Let , where or , be a -smooth open bounded set, and let be connected with finitely many components of , ie .
Suppose that the data belong to the spaces indicated in (1.7) for a parameter satisfying one of the following conditions:
- (1)
s>\max(1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}+1-\frac{n}{2}); 2. (2)
, s={\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}+1-\frac{n}{2} and ; 3. (3)
* and .*
Assume in addition that for ,…,.
Then there exists a solution of (1.6) as in (1.7) above.
For the spaces the analogous result holds (for any in (2)).
The special case with is identical to the classical result on weak solutions, cf [13]. As a particular case the theorem gives a solvability theory in the Hölder–Zygmund spaces for .
In addition solutions may be constructed by successive approximations for any s>\max(\frac{1}{2},{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-1+\frac{1}{2}\delta_{n2}) in (1.7) provided only that and that the norms of the data are small enough; for the present spaces, this is elaborated in [9]. In comparison Theorem 1.3 asserts that when and is sufficiently large (plus some stricter conditions on and ), then solutions exist for arbitrarily large data.
In view of this even the result should be new.
The purpose of this paper is only to indicate the proofs of the theorems; a detailed exposition is in preparation [8]. The results are based on [11, 10].
2. The pseudo-differential boundary operators
For an efficient treatment of the problems in (1.1), (1.2) and (1.6) one can utilise the calculus of pseudo-differential boundary operators of L. Boutet de Monvel [1] for the linear parts. An extension of this calculus to the and scales may be found in [11, 9] (with the results of J. Franke (partially contained) in [2] and the and versions of G. Grubb [3] as forerunners).
Introductions to the calculus may be found in [4, Sect. 2] and [5, Sect. 1.1 ff], or [3, Sect. 4], so here it is recalled that the generic object to study is a Green operator
[TABLE]
whereby denotes the truncation to of a pseudo-differential operator on ; is a trace operator, a Poisson operator and is a pseudo-differential operator on ; finally is a singular Green operator.
To assure that the so-called transmission condition at is imposed on (cf the elementary exposition in [4, Sect. 1]). More precisely, the results in [11] have been established for the space-uniformly estimated calculus, for which the Hörmander class is the basic symbol class on ; this version of the calculus has been introduced systematically in [6]. Hence is required to satisfy the uniform two-sided transmission condition at , and for of the described kind the main result in [11] is:
Theorem 2.1**.**
Suppose all entries in have order and that both and are of class . Then there is continuity of
[TABLE]
for s>r+\max({\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}}-1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n). In both cases, boundedness can only hold for if both and are .
When all symbols are poly-homogeneous and is elliptic, the theorem applies also to any parametrix , and it was shown in [3, Thm. 5.4] that can be taken of class . In general this result is best possible because is a parametrix of . (An exception is when itself only contains a negligible part of class .)
With obvious modifications the theorem also holds for multi-order and multi-class operators (of the Douglis–Nirenberg type) or when either or ; see [11, Thm. 5.2]. As examples there are then and ; throughout
[TABLE]
will serve as a special choice of parametrix of .
For convenience , with , will denote the admissible parameters for which the inequality
[TABLE]
holds. Equivalently this means that s>k-1+{\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}}+(n-1)({\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}}-1)_{+}.
3. Product estimates
The bilinear operator , that has been used above with , is analysed as the composite
[TABLE]
where denotes . More precisely, is the following generalisation, that eg allows (instead of ) in (1.3):
Definition 3.1**.**
For and let, with ,
[TABLE]
whenever the limit, calculated in : (i) exists for each equal to near [math], and (ii) is independent of such ’s.
This product has been studied in [10], where it is shown that it fills a part of the gap between two immediate meanings of ‘pointwise multiplication’: for and , and when the lie in such that 0\leq{\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p_{0}}}}+{\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p_{1}}}}\leq 1 (so that ).
Moreover, for an open set there is a restriction to defined as
[TABLE]
when the limit exists in and satisfies (i) and (ii) for some and in such that and . (The existence of such a pair implies that the limit exists, equals and fulfils (i) and (ii) for any other pair restricting to .)
Perhaps more importantly, the continuity properties of may be obtained by para-multiplication. For spaces over the definition in (3.3) allows one to carry boundedness over from to , cf [10, Thm. 7.2].
For simplicity’s sake only the needed results will be recalled. For the Besov spaces it is necessary with a stricter control over the sum-exponents , but in the end this does not affect the results in Theorems 1.1–1.3; hence these technicalities are omitted here.
Theorem 3.2**.**
The product in (3.3) is defined on when
[TABLE]
and then there is boundedness
[TABLE]
if all of the following conditions are fulfilled:
[TABLE]
Here it suffices with in (3.6) provided if .
For this result the reader is referred to the theorems in [10, Sect.s 6 and 7]. Since is commutative, it may be assumed that , and then the value, , of for which there can be equality in both (3.6) and (3.7) is given by the formula
[TABLE]
Remark 3.3*.*
In Theorem 3.2 the receiving spaces are determined implicitly by (3.6)–(3.9). But, since is bounded, holds in any case, if for and if for . Thus the receiving space with may be considered as optimal.
4. The Dirichlét model problem
This section concerns the proof of Theorem 1.1. Preference will be given to the Triebel–Lizorkin spaces for simplicity, however, everything holds mutatis mutandem for the Besov spaces as well.
Firstly, for the linear parts of (1.1), there is boundedness of
[TABLE]
for each parameter with s>1+\max({\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}}-1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n), ie in .
For , the calculus asserts that the parametrix is bounded in the opposite direction in (4.1) for each parameter .
Secondly, when the non-linear term is taken into consideration too, it is found from (1.1) that
[TABLE]
This turns out to be meaningful when s>\max({\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}},\tfrac{1}{2},{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-\frac{1}{2}) for and for s>\max({\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}},\tfrac{1}{2},{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-1) when , so in general the condition is
[TABLE]
To obtain this one can derive from Theorem 3.2 that is bounded, for some ,
[TABLE]
in general when s>\max(\frac{1}{2},{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-\frac{n-1}{2}), cf (3.4). Here the deficit measures how much the order of deviates from the order of .
It is essential that the non-linear term is more regular than when (4.3) holds. In fact equals 1+\min(0,s-{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}) — an increasing function of s-{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} — except that for some arbitrary . Hence as long as s>\max(\frac{1}{2},{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-1+\frac{1}{2}\delta_{n2}).
Thirdly, after these preparations, an iteration yields that : observe that in (4.2) one has, by (4.4) and Theorem 2.1 applied to , for the summands on the right hand side that
[TABLE]
By determination of , it follows that . Application of (4.4) then gives etc.
In the case one may take , and, because , the process ends with the conclusion that in approximately steps (as is well known).
For the conclusion follows by consideration of four different cases, namely those with the combinations of and t-\frac{n}{r}\gtreqless s-{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}. The procedure is far easier to sketch with a diagram than with words, so the reader is referred to Figure 1.
The figure displays the location of and four examples of corresponding to the subdivision mentioned above. However, the sum-exponents and are not represented. The sector where , ie s>\max(\frac{1}{2},{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-1+\tfrac{1}{2}\delta_{n2}), is indicated in dashed line; note that the ‘’ representing and all lie inside the sector.
The arrows in full line indicates embeddings etc: there are Sobolev embeddings down the lines of slope , and to the right along horizontal lines because has finite measure. The dotted line indicates the improved knowledge of the non-linear term, ie the spaces etc.
Note that one of the four cases is trivial since , while another in finitely many steps (indicated by ‘’) reduces to this or to one of the cases with either the “sawtooth” or the “staircase” manoeuvres.
Altogether this leads to the proof of Theorem 1.1.
Remark 4.1*.*
The procedure followed above has been used by S. I. Pohožaev, at least in the case with and , cf [12].
5. The Neumann problem
For the Neumann problem in (1.2) the arguments in Section 4 turn out to require more detailed estimates of the non-linear term. The reasons for this will be described in the following.
For the problem in (1.2), one should take , for then
[TABLE]
is bounded. It is important here that can not be continuous from unless s\geq 2+\max({\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}}-1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n) holds, so the restriction for can not be essentially improved. For the Green operator this means that the class is .
Since is elliptic, the Boutet de Monvel calculus asserts that there exists a parametrix of class [math] — but not lower — that is bounded
[TABLE]
when . Hence the class of is [math], so can not be extended to an operator that is continuous from when s-2<\max({\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}}-1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n). Again the restriction on can not be essentially improved.
Contrary to the Dirichlét case above, is not an inverse, but
[TABLE]
for an operator of order and class . In fact, this regularising operator may be taken as by a specific choice of .
Hence (4.2) is replaced by , where the first three terms belong to .
The conditions that make defined remain the same, of course, so the assumption for in (4.3) is here replaced by
[TABLE]
and similarly for . Cf (1.5).
Now the cases with and are rather more complicated than the corresponding cases for the Dirichlét problem. The reason for this is that the space seemingly may be much too large for an application of the non-linear operator to it.
Indeed, whilst the integral-exponent is smaller than , and in many cases holds, although . An example is sketched in Figure 2 below, where the sector determined by (5.4) is indicated by dashes. When is close to {\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{1}}}}-1, then the deficit is close to [math], and so eventually
[TABLE]
In such cases, since , the solution operator simply does not make sense on , as recalled after (5.2). By comparison with the Dirichlét problem, the iteration is seemingly unable to begin.
At this place the fine theory of pointwise multiplication offers a remedy. In fact, one can do better than regarding the non-linear operator as one of order , as in (4.4) above.
The problem only arises when is close to [math], hence only for s<{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}, and then may be seen to factor through a space with smoothness index . More exactly, with \tfrac{n}{p^{*}}={\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}+({\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-s)_{+}, Theorem 3.2 gives that
[TABLE]
is a bounded non-linear operator for s>\max(\frac{1}{2},{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-1+\tfrac{1}{2}\delta_{n2}). With in the subsector given by s>\max(1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-1+\tfrac{1}{2}\delta_{n2}), in which the above lies, it may be checked that the receiving space in (5.6) lies above the critical broken line s=\max({\textstyle\frac{1}{\raise 1.0pt\hbox{\scriptstyle p}}}-1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-n), so that . See [8] or [9] for this.
According to (5.2) this assures that may be applied to , so, because s-1-\frac{n}{p^{*}}=s+\delta(s,p)-{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}, there is (after all) boundedness of
[TABLE]
for all s>\max(1,{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}}-1+\tfrac{1}{2}\delta_{n2}). Evidently this last sector is stable under the forming of the intermediate parameters , ,….
In principle also the cases with and t-{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle r}}}<s+\delta-{\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p}}} need a special argument, but also here (5.7) may be applied. Altogether the iteration used for the Dirichlét problem applies also to the Neumann problem.
6. Final remarks
(1) To prove Theorem 1.3, notice that each of the conditions (1)–(3) there implies that the data belong to the spaces considered in Theorem 2.1 of [13, App. 1]. Hence there is a weak solution to which the regularity results apply. For details, see [9, Thm. 5.5.5] or [8].
(2) The iteration methods apply also to the von Karman equations for a plate in , or to problems with a suitable semi-linear perturbation of an injectively elliptic Green operator in the calculus.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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