Regularity results and parametrices of semi-linear boundary problems of product type
Jon Johnsen

TL;DR
This paper presents a construction of parametrices for semi-linear elliptic boundary problems of product type, combining Boutet de Monvel calculus and paradifferential operators to handle linear and non-linear parts.
Contribution
It introduces a novel method for constructing parametrices for semi-linear boundary problems using a hybrid approach of pseudo-differential and paradifferential calculus.
Findings
Effective parametrix construction for semi-linear elliptic boundary problems.
Enhanced understanding of boundary regularity in non-linear PDEs.
Framework applicable to a broad class of non-linear boundary value problems.
Abstract
This short note describes the benefit one obtains from a specific construction of a family of parametrices for a class of elliptic boundary value problems perturbed by non-linear terms of product type. The construction is based on the Boutet de Monvel calculus of pseudo-differential boundary operators for the linear elliptic parts, and on paradifferential operators for the product terms.
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Regularity results and parametrices of semi-linear
boundary problems of product type.
Jon Johnsen
(Dedicated to Prof. Hans Triebel on the occasion of his 65th birthday)
1 Introduction
This study focuses on semi-linear problems of the form
[TABLE]
Here are the given data, and the unknown. Problem (1) should be elliptic in some bounded, -smooth region ; that is should be a linear differential operator in while should be a trace operator such that the system is elliptic in . More generally, could be suitably “pseudo-differential” as long as is injectively elliptic in the Boutet de Monvel calculus of boundary problems.
stands for a non-linearity which combines and its derivatives in a polynomial way, roughly speaking.
The main point is the following frequently asked question: given a solution , does the presence of influence the regularity of ?
This problem can of course be phrased in various frameworks: to measure regularity, the Besov and Triebel–Lizorkin spaces and could be adopted for and , (though with for ). But to simplify matters — and indeed to fix ideas — this survey deals with the Sobolev, or Bessel potential, spaces , where and . Now the solution may be known to exist in some a priori space, denoted throughout, while data are given in other spaces having some integral exponent . The case with requires extra efforts, and the present paper deals with a flexible way of handling this.
The word “semi-linear” is often taken as an indication that solutions of problems like (1) will have practically the same regularity as in the linear case, ie as when . However, when is allowed, it is more demanding to describe for which a priori spaces and data spaces this property of semi-linearity holds.
A classical way to obtain such conclusions is to improve the knowledge of in finitely many steps (ie a boot-strap method). But one faces rather pains-taking difficulties when this method is applied to cases in which the a priori space for is not “close enough” to the solution space associated to the data and in the linear theory. (Such phenomena have been described in [Joh93, Joh95b] and in a joint work with T. Runst [JR97]).
However, in a recent article [Joh01] a different technique was worked out — it requires rather weaker assumptions than boot-strap methods do, it has cleaner proofs and in particular it also avoids the technicalities mentioned above. In short this approach is a much more flexible tool. It was exemplified for elliptic problems in full generality in [Joh01], where the crucial point was a specific parametrix formula for the non-linear problem (1); this formula is useful because one can read off a given solution’s regularity directly.
The purpose of the present paper is to give a concise account of the resulting technique and to present how the parametrices straightforwardly give regularity improvements.
To give a very brief account of the outcome of the study (with examples to follow further below), it is useful to introduce three parameter domains:
[TABLE]
Here consists of all the (pairs of) parameters for which the matrix-formed operator is defined on the space . This takes into account the class of (and of in the pseudo-differential case).
Similarly contains all the for which is defined on and has order less than that of on this space. Finally, and most importantly, for any and any given in , there should exist some linear but possibly -dependent operator such that
[TABLE]
When the operator is studied in its own right on the scale , then contains the for which is defined and has lower order than . In addition it is necessary to require of and that .
In practice is much larger than , and the more regular is known a priori to be, the larger will be. (While is the same independently of any given solution .) This leads to a main feature:
On the one hand, using a boot-strap method it turns out that one can work inside the domain ; which is logical because would lose “more derivatives” on spaces outside . On the other hand, the present parametrix methods work well on the larger set
[TABLE]
For this reason a given solution may be treated under much weaker initial assumptions on the data . Indeed, the regularity of is read off from the following parametrix formula (derived in [Joh01])
[TABLE]
Here denotes a left-parametrix of , with associated smoothing operator ; that is . The parametrix is a finite Neumann series with the linear operator as ‘quotient’. Consequently, with known mapping properties of , and , the above formula (5) shows directly how the regularity of is determined by the data together with the a priori regularity of itself (the latter enters the term ).
Below this is explained in detail by means of an example.
2 The Framework
As a another simplification we may consider the following model problem, which is rich enough to illustrate the points. Here and below denotes the standard trace (restriction) on :
[TABLE]
The discussion of (6) will be carried out under the hypothesis that a solution is given for some specific data fulfilling
[TABLE]
In general, the space is defined by restriction to and is defined via local coordinates on .
With this set-up, the theme is whether belongs to the space too. (There are of course necessary conditions for this to be true, eg must hold for the boundary condition to make sense. It is tempting to require in analogy that , but it is a point that weaker assumptions will suffice; hence this discussion is postponed a little.) Using boot-strap arguments in treating this, difficulties occur as mentioned in the introduction. Indeed, for cases with, say and close to and respectively, and small values of , boot-strapping is possible, but careful arguments based on special estimates of are needed to avoid auxiliary spaces on which is undefined; cf [Joh95b].
With a more direct approach, the aim is to “invert” (6) by means of the formula
[TABLE]
To explain the various quantities in (9), it is first noted that the linear problem corresponding to (6) is considered as an equation for the elliptic Green operator (when , ),
[TABLE]
Then is taken as a parametrix (belonging to the Boutet de Monvel calculus), ie it is continuous in the opposite direction in (10) and
[TABLE]
here the range for all . (In fact is possible for this Dirichlét problem, but it is retained here to make it clear that also in general its presence is harmless.)
The second ingredient in (9) is a decomposition of the non-linear term as
[TABLE]
More precisely, it is necessary to ensure that has certain mapping properties, hence it is defined by means of a universal extension operator from to , say , to be
[TABLE]
Here the are para-multiplication operators defined on (so that restriction to of each term on the right hand side of (13) is understood). These are introduced using a Littlewood–Paley partition with smooth functions supported at for ; then
[TABLE]
and whilst gives the remainder in the formal decomposition of .
Using this, the parametrices of the non-linear problem (6) are now finally introduced as
[TABLE]
They clearly depend on the given solution , and since both and are linear, so are the on every with ; cf (16) ff.
For the above model problem, the parameter domains from the introduction are, when and denotes the positive part,
[TABLE]
The two first restrictions make the trace and the product well defined on , whilst the second condition in (17) implies that for some it holds that for every .
More noteworthy is it that the requirement in (18) is effectively weaker the better the a priori knowledge of is: for higher values of or larger values of , more pairs fulfil the inequality.
A closer analysis shows that has order in the sense that
[TABLE]
Here is only necessary for s_{0}={\textstyle\frac{n}{\raise 1.0pt\hbox{\scriptstyle p_{0}}}}. If one removes and the restriction to from , then the resulting operator is in the Hörmander class , leading to an analogous continuity property.
It is important to observe that with for some in , it follows from (17) that the order of satisfies in (19). In other words, loses fewer derivatives than . It is a peculiar fact that , once is chosen, actually has constant order on all spaces regardless of whether they have parameter inside or outside (by comparison, the boundary of contains points where attains the order ).
Using the above continuity results for , and , one can now show that the parametrix formula holds and derive the regularity results.
Remark 2.1
The operator in (13) differs from the linearisations in J. M. Bony’s work [Bon81] because the -term is a part of the operator instead of being treated as a negligible error term. In the present context this has to be so, for it does occur that this term has a non-negligible regularity and in addition it would not be natural to violate the identity . For this reason it is suggested that one could call the full paralinearisation of .
Moreover, the perhaps more natural linearisations and the differential do not work in this context, because they are not moderate in the terminology of [Joh01]. Indeed, on they have order equal to for large , and this has no upper limits for ; unlike that has constant order with respect to as observed above.
Remark 2.2
About the above results it should be mentioned that the properties of linear elliptic problems were deduced for the -scale in full generality by G. Grubb [Gru90], who extended the Boutet de Monvel calculus to these spaces (and to the classical Besov spaces). In particular this implies (10) and the statements following it. (For the and scales there is a similar extension of the calculus in [Joh96], which applies to the present problems in the same way.) For introductions to the calculus the reader may consult [Gru97, Gru91].
In the definition of , the universal extension operator was constructed by V. Rychkov [Ryc99b, Ryc99a]. He showed that can be taken such that for all and it is continuous
[TABLE]
and that holds on (in fact it was carried out for the Besov and Triebel–Lizorkin scales).
The para-multiplication operators in (13) follow M. Yamazaki [Yam86] in the notation and the definition. To prove (19)–(20) it suffices to combine (21) with standard estimates of the ; these are essentially found in [Yam86], but for a proof the reader may consult [Joh01], which presents a general study of non-linear operators of product type (encompassing sums of terms and more general expressions). For a full set of estimates of para-multiplication operators proved directly (without the somewhat heavier paradifferential techniques in [Yam86]), the reader may eg consult [Joh95a, Th 5.1].
3 Results involving parametrices
We shall now proceed to state the results for the model problem, that one obtains from the parametrices. Recall that and . Furthermore , and are given as in (16) ff, so that they fulfil the conditions described after (2).
The first point is to establish that the parametrix formula (9) really holds, and to give basic properties of the entering operators.
Theorem 3.1
Assume that (6) and (7)–(8) hold for parameters fulfilling
[TABLE]
Then (9) holds, and for as in (15),
[TABLE]
In these lines the arrows stand for continuous, linear maps.
Actually (24) holds for all sufficiently large values of , but usually it is enough have a single such .
The above Theorem 3.1 is a special case of an abstract result proved in [Joh01, Th 2.2]. The proof is not difficult in itself; it is formulated for a general situation specified by some lengthy, but essentially rather mild conditions labelled (I)–(V) in [Joh01, Sect. 2], and that these are fulfilled for the model problem considered in this paper is a consequence of the above Section 2.
Now one immediately gets
Corollary 3.2
If (6), (7)–(8) and (22) all hold, then is also an element of .
It is a mjor point of the paper that, to prove this, one may take as in (24); then the properties in (24), (23), (19) together with formula (9) show that .
It deserves to be emphasised that is assumed to lie in but not necessarily in the smaller parameter domain for the non-linear term, . For this reason it is possible to conclude that given solutions may belong to spaces that are beyond the reach of the boot-strap method.
4 Final remarks
This paper focuses on semi-linear elliptic boundary problems, and even specialises to a simple model problem in order not to burden the exposition; the possible extensions are many, but the reader should get a good impression of the possibilities from the above. Within the framework of elliptic problems some of the generalisations are indicated after (1), but is is also possible to include semi-linear elliptic systems like the stationary Navier–Stokes equation or von Karman’s equations. This requires an extended notion of product type non-linearities, defined on sections of vector bundles. The reader may consult [Joh01] for this.
The general study in [Joh01, Sect. 2] also allow some applications to parabolic initial-boundary problems with non-linearities of product type. However, when such problems are non-homogeneous the compatibility conditions on the data set severe restrictions to how much the regularity can be improved; but even so it should be possible to work out some results in this area.
Concerning the tools, it is on the one hand clear that it is a fine theory of linear elliptic problems that enter, namely that of the Boutet de Monvel calculus. On the other hand, the treatment of the non-linear terms is based on para-multiplication operators on . This technique was essentially introduced (independently) by J. Peetre and H. Triebel around 1976-77 [Pee76, Tri77, Tri78] in order to analyse the pointwise product. One way to sum up the present paper could be to say that para-multiplication also may enter in a crucial way in treatments of certain non-linear perturbations of elliptic boundary problems.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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- 2[Gru 90] G. Grubb, Pseudo-differential boundary problems in L p subscript 𝐿 𝑝 L_{p} -spaces , Comm. Part. Diff. Equations 15 (1990), 289–340.
- 3[Gru 91] G. Grubb, Parabolic pseudo-differential boundary problems and applications , Microlocal analysis and applications, Montecatini Terme, Italy, July 3–11, 1989 (Berlin) (L. Cattabriga and L. Rodino, eds.), Lecture Notes in Mathematics, vol. 1495, Springer, 1991.
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- 5[Joh 93] J. Johnsen, The stationary Navier–Stokes equations in L p subscript 𝐿 𝑝 L_{p} -related spaces , Ph.D. thesis, University of Copenhagen, Denmark, 1993, Ph.D.-series 1 .
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- 7[Joh 95b] J. Johnsen, Regularity properties of semi-linear boundary problems in Besov and Triebel–Lizorkin spaces , Journées “équations derivées partielles”, St. Jean de Monts, 1995, Grp. de Recherche CNRS no. 1151, 1995, pp. XIV 1–XIV 10.
- 8[Joh 96] J. Johnsen, Elliptic boundary problems and the Boutet de Monvel calculus in Besov and Triebel–Lizorkin spaces , Math. Scand. 79 (1996), 25–85.
