Continuous solutions for divergence-type equations associated to elliptic systems of complex vector fields
Laurent Moonens (LM-Orsay), Tiago Picon

TL;DR
This paper characterizes distributions that admit continuous weak solutions to divergence-type equations associated with elliptic systems of complex vector fields, extending classical results to more general elliptic systems.
Contribution
It provides a comprehensive characterization of distributions for which divergence-type equations have continuous solutions in the context of complex elliptic systems.
Findings
Characterization of distributions with continuous solutions
Extension of classical divergence results to complex elliptic systems
Unified framework for divergence equations with elliptic vector fields
Abstract
In this paper, we characterize all the distributions such that there exists a continuous weak solution (with ) to the divergence-type equation where is an elliptic system of linearly independent vector fields with smooth complex coefficients defined on . In case where is the usual gradient field on , we recover the classical result for the divergence equation proved by T. De Pauw and W. Pfeffer.
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Continuous solutions for divergence-type equations associated to elliptic systems of complex vector fields
Laurent Moonens and Tiago Picon
(Date: March 3, 2024)
Abstract.
In this paper, we characterize all the distributions such that there exists a continuous weak solution (with ) to the divergence-type equation
[TABLE]
where is an elliptic system of linearly independent vector fields with smooth complex coefficients defined on . In case where is the usual gradient field on , we recover the classical result for the divergence equation proved by T. De Pauw and W. Pfeffer.
2010 Mathematics Subject Classification:
Primary 456F10, 35J46; Secondary 35F05, 35F35, 35B45, 46A03.
Laurent Moonens and Tiago Picon were partially supported by the French ANR project “GEOMETRYA” no. ANR-12-BS01-0014 and São Paulo Research Fundation - Fapesp grant 2013/17636-5, respectively.
1. Introduction
Recently a series of new results on the classical divergence equation have been published. In the original paper due to J. Bourgain and H. Brezis [BB1] the authors presented new developments for the solvability of the equation
[TABLE]
when , in the special limiting case . A surprising result [BB1, Theorem 1’] asserts that for every there exists a continuous solution of (1).
Concerning continuous solutions to (1) in the whole Euclidean space, T. de Pauw and W. Pfeffer [DPP] characterized the (real) distributions for which the equation (1) has a continuous solution, i.e. there exists such that the following holds:
[TABLE]
for every test function . They show such distributions are exactly the ones satisfying a particular continuity property: for each there should exist a constant such that one has:
[TABLE]
for all supported in the ball centered at the origin with radius . As a particular case, they show that (the distribution associated to) any function enjoys that property, so that in particular (1) is continuously solvable for all .
Integral estimates in norm like (2) have been studied in several settings, among which div-curl and elliptic-canceling operators, measure and divergence-free vector fields, nilpotent groups, CR complexes and applications to fluid dynamics. We refer to [VS5] for an overview and development of these subjects.
The results obtained previously for (1) are closely related to the gradient generated by the canonical vector fields for . Suppose now that is a system of linearly independent vector fields with smooth complex coefficients defined on an open set . Analogously, we may consider the gradient associated to the system defined by for and its formal complex adjoint operator
[TABLE]
which are precisely the operators and when and . We use the notation where denotes the vector field obtained from by conjugating its coefficients and is the formal transpose of for — namely this means that, for all (complex valued) , we have:
[TABLE]
The following version of the Sobolev-Gagliardo-Nirenberg theorem associated to was proved in [HP1], namely:
Theorem 1.1**.**
Assume that the system of vector fields , , is linearly independent and elliptic. Then every point is contained in an open neighborhood such that
[TABLE]
holds for . Conversely, if (4) holds then the system must be elliptic on .
In this work we are interested to study the (local) continuous solvability of the equation:
[TABLE]
Our main result is the following.
Theorem 1.2**.**
Assume that the system of vector fields , , is linearly independent and elliptic. Then every point is contained in an open neighborhood such that for any , the equation (5) is continuously solvable in if and only if is an -charge in , meaning that for every and every compact set , there exists such that one has:
[TABLE]
for all — the latter being the set of all smooth functions in supported inside .
One simple argument (see Section 4) shows that the above continuity property on is a necessary condition for the continuous solvability of equation (5) in . Theorem 1.2 asserts that the continuity property (6) is also sufficient, under the ellipticity assumption on the system of vector fields.
The organization of the paper is as follows. In Section 2, we study some properties of elliptic systems of complex vector fields. Section 3 is devoted to the definition and some properties of the space of functions with bounded -variation. In Section 4, we discuss linear functionals on called -charges. The proof of our main result is presented in Section 5. The Appendix is concerned with technical results on pseudodifferential operators, mainly on their boundedness and compactness.
Notations. We always denote by an open set of , . Unless otherwise specified, all functions are complex valued and the notation stands for the Lebesgue integral . As usual, and are the spaces of complex test functions and distributions, respectively. When is a compact subset of , we let , where is the space of all distributions with compact support in . Since the ambient field is , we identify (formally) each with the distribution given by . We consider the space of all continuous vector-valued functions . We also introduce the notation (where is the standard norm in ) for . Finally we use the notation to indicate the existence of an universal constant , independent of all variables and unmentioned parameters, such that one has .
2. Ellipticity and its consequences
Consider complex vector fields , , with smooth coefficients defined on a neighborhood of the origin in , . We will assume that the vector fields do not vanish in , in particular, they may be viewed as nonvanishing sections of the vector bundles as well as first order differential operators of principal type.
In the sequel, we will always assume (unless otherwise mentioned) that the following two properties hold:
- (a)
are everywhere linearly independent;
- (b)
the system is elliptic.
The latter means for any 1-form (i.e. any section of ), the equality for implies that one has . Consequently, the number of vector fields must satisfy 111In fact, if one writes where are real vector fields, then . Suppose indeed that . Then there exist and such that for but ; that is a contradiction, since the system is supposed to be elliptic. Clearly, on the other hand, we have . . Alternatively the assumption (b) is equivalent to require that the second order operator
[TABLE]
is elliptic. Using a representation of vector fields in local coordinates we can assume that one has:
[TABLE]
with smooth coefficients globally defined on that possess bounded derivatives of all orders. A simple computation implies then that one has where ; the (uniform) ellipticity means that there exists such that one has
[TABLE]
for all .
The second-order (elliptic) operator may be regarded as an elliptic pseudodifferential operator with symbol in the Hörmander class . Hence there exist scalar-valued properly supported pseudodifferential operators and such that one has:
[TABLE]
Writing for we then get:
[TABLE]
for every .
As application from the previous identity we present the following a priori estimates
Proposition 2.1**.**
Assume that the system of vector fields , , is linearly independent and elliptic. Then for every point and , there exist an open neighborhood and a constant such that, for all , one has:
[TABLE]
In the above statement, the operator for is the pseudodifferential operator, called Bessel potential, defined by
[TABLE]
where the symbol , independent of , belongs to the Hörmander class . The operator , usually denoted by , allows us to introduce a nonhomogeneous fractional Sobolev space for , defined as the set of tempered distributions such that , endowed with the norm . As a consequence of the continuity property of the action of the Bessel potential on Lebesgue spaces (see for instance [AH, Theorem 2.5]), the inclusion is continuous for all .
Proof.
Let . Thanks to identity (9) we have
[TABLE]
where is a regularizing operator and is a vector-valued pseudodifferential operator of negative order . As a consequence of Theorem 6.1 we have , which implies:
[TABLE]
As the second term on the right side may be absorbed (see [HP1, p. 798]), shrinking the neighborhood if necessary, we obtain the estimate (10). ∎
The boundedness in norm of the pseudodifferential operators with negative order follow from the integrability property of the kernel due itself to a pointwise control obtained in [AH]. Another fundamental tool from pseudodifferential operators theory, inspired in the recent results obtained in [HKP], asserts that the embedding , where is a generic ball, into is compact. These results are stated in the Appendix and will be proved there for sake of completeness.
3. Functions of bounded -variation
Throughout this section, we consider a system of complex vector fields with smooth coefficients on .
3.1. Basic definitions; approximation and compactness
Let be the linear space of all complex functions in whose support is a compact subset of .
The following definition of -variation of recalls the classical definition of variation in case and for each . It has been formulated for (real) vector fields by N. Garofalo and D. Nhieu [GN].
Definition 3.1**.**
Given and an open set, one calls the extended real number:
[TABLE]
the (total) -variation of in and we let in case there is no ambiguity on the open set . We denote by the set of all with .
Given , we denote by the unique -valued Radon measure satisfying:
[TABLE]
for all . It is clear by definition that is also the total variation in of .
The next proposition allows us to define a vector-valued Radon measure for any .
Remark 3.2*.*
Given , one has . Indeed, given , find a radius for which one has . It is clear according to (11) that for any we then have . Hence we also get for all , which ensures that one has and finishes to show the inclusion .
Remark 3.3*.*
It follows readily from the previous definition that, as in the classical case, if converges in to , one then has and:
[TABLE]
We shall refer to this in the sequel as the lower semi-continuity of the -variation.
We say that a sequence of functions with complex values defined on open set is compactly supported in if there is a compact set such that one has for every .
We shall make an extensive use of the following concept of convergence.
Definition 3.4**.**
Given and a sequence we shall write in case the following conditions hold:
- (i)
converges to in norm; 2. (ii)
is compactly supported in ; 3. (iii)
.
Using a Friedrich’s type decomposition due to N. Garofalo and D. Nhieu [GN, Lemma A.3] in the real case, we obtain an analogous result, in , to the standard approximation theorem for functions.
Lemma 3.5**.**
Assume that have locally Lipschitz coefficients. For any , there exists a sequence such that one has and, moreover:
[TABLE]
Proof.
Fix a radial function with nonnegative values, satisfying and , and, for each , define by .
Fix now and define for a function by the formula:
[TABLE]
For each , denote by the compactly supported distribution defined by:
[TABLE]
let denote the vector-valued distribution and observe that according to N. Garofalo and D. Nhieu [GN, Lemma A.3], one can write:
[TABLE]
where also , .
Fix now a smooth vector field satisfying and compute:
[TABLE]
We hence get, by duality:
[TABLE]
and the result follows from the aforementioned property of when approaches [math]. ∎
The following proposition is a compactness result in .
Proposition 3.6**.**
Assume that the open set supports a Sobolev-Gagliardo-Nirenberg inequality of type (4) as well as an inequality of type (10) for some . If is compactly supported in and if moreover one has:
[TABLE]
then there exists and a subsequence converging to in norm.
Proof.
Choose a compact set for which one has for all , and let be such that on . Choose also, according to Lemma 3.5, a sequence satisfying the following conditions for all :
[TABLE]
Define now, for each , and compute using Hölder’s inequality together with (4):
[TABLE]
We hence have while it is clear that is compactly supported and satisfies , .
Now fix and observe that the sequence also satisfies, according to (10):
[TABLE]
It hence follows from the compactness of the inclusion of (see Theorem 6.2 in Appendix) that there exists and a subsequence converging to in . On the other hand it is clear that one has as well as . We hence have, by lower semicontinuity:
[TABLE]
which ensures that one has .
∎
Remark 3.7*.*
According to Theorem 1.1 and Proposition 2.1, we see that if one assumes to be everywhere linearly independent and elliptic, each point is contained a neighborhood satisfying the hypotheses of the previous proposition.
3.2. A Sobolev-Gagliardo-Nirenberg inequality in
As announced we get the following result:
Proposition 3.8**.**
Assume that the system of vector fields , , is linearly independent and elliptic. Then every point is contained in an open neighborhood such that the inequality:
[TABLE]
holds for all , where is a constant depending only on .
Proof.
Fix . It follows from Theorem 1.1 that there exists a neighborhood of and such that, for all , one has:
[TABLE]
Then given consider the sequence satisfying (i)-(iii) by Lemma 3.5. As a consequence of Fatou Lemma and the previous estimate we conclude that
[TABLE]
The proof is complete. ∎
Remark 3.9*.*
The converse of proposition is true, namely if the inequality (13) holds then the system must be elliptic on (see [HP1] for details).
4. -charges and their extensions to
We now get back to the original problem of finding, locally, a continuous solution to (5).
4.1. -fluxes and -charges
Distributions which allow, in an open set , to solve continuously (5), will be called -fluxes.
Definition 4.1**.**
A distribution is called an -flux in if the equation (5) has a continuous solution in , i.e. if there exists such that one has, for all :
[TABLE]
-fluxes satisfy the following continuity condition.
Lemma 4.2**.**
If is an -flux then for every sequence verifying .
Proof.
Let be an -flux and let be such that (14) holds. Fix a sequence verifying , let and choose a compact set for which one has for all .
Fix now . According to Weierstrass’ approximation theorem, choose a vector field for which one has and compute, for all :
[TABLE]
We hence get , and the result follows for is arbitrary. ∎
The property above suggest the following definition of linear functionals associated to .
Definition 4.3**.**
A linear functional is called an -charge in if for every sequence satisfying . The linear space of all -charges in is denoted by .
The following characterization of -charges will be useful in the sequel.
Proposition 4.4**.**
If is a linear functional, then the following properties are equivalent
- (i)
* is an -charge,* 2. (ii)
for every and each compact set there exists such that, for any , one has:
[TABLE]
Proof.
We proceed as in [DPP, Proposition 2.6].
Since (ii) implies trivially (i), it suffices to show that the converse implication holds. To that purpose, assume (i) holds, i.e. suppose that is an -charge. Fix and a compact set . By hypothesis, there exists such that for every satisfying and , we have . We now define .
Fix now and assume by homogeneity that one has . If moreover one has , then one computes . If on the contrary we have , we define . We then have as well as , and hence also ; this yields finally . ∎
As we shall see now, -charges can be extended in a unique way to linear forms on .
Proposition 4.5**.**
An -charge in extends in a unique way to a linear functional satisfying the following property: for any and each compact set , there exists such that for any one has:
[TABLE]
Proof.
Given , fix satisfying and observe that it follows from (15) that is a Cauchy sequence of complex numbers whose limit does not depend on the choice of sequence satisfying . We hence define . It now follows readily from (15) and Lemma 3.5 that satisfies the desired property. ∎
Remark 4.6*.*
If extends the -charge , it is easy to see from the previous proposition that for any compactly supported sequence satisfying , in and , one has , .
From now on, we shall identify any -charge with its extension to and use the same notation for the two linear forms.
4.2. Two important examples of -charges
Let us define two important classes of -charges.
Example 4.7**.**
In case is the -flux associated to according to (14), its unique extension to is the -charge:
[TABLE]
To see this, fix together with a sequence satisfying (i)-(iii) in Lemma 3.5 and choose a compact set for which one has for all . Given , choose a smooth vector field satisfying and compute:
[TABLE]
On the other hand we have for all :
[TABLE]
Using the properties of and Lebesgue’s dominated convergence theorem, we thus get:
[TABLE]
according to (11). The result follows, for is arbitrary.
Example 4.8**.**
Assume that supports a Sobolev-Gagliardo-Nirenberg inequality of type (13) for functions in . Define then, for any , a map by:
[TABLE]
Fix and choose large enough for to hold. We then compute:
[TABLE]
for appropriated choice of . Hence defines an -charge.
Remark 4.9*.*
It is easy to see that for any , there exists an open set such that one has .
Given , thanks to the local solvability of the elliptic equation(7) (see [GS, Corollary 4.8]), there exists a smooth solution to in . Let . This yields, for any :
[TABLE]
for we could, in the computation above, replace by where satisfies in a neighborhood of .
It turns out that a linear functional on is an -charge if and only if it is continuous with respect to some locally convex topology on .
4.3. Another characterization of -charges
In the sequel, a locally convex space means a Hausdorff locally convex topological vector space. For any family of sets and any set we denote . Following [DPMP, Theorem 3.3] we define the following topology on (note that this result remains valid in the complex framework).
Definition 4.10**.**
Let be the unique locally convex topology on such that
- (a)
for all and where we let:
[TABLE]
and where is the -topology; 2. (b)
for every locally convex space , a linear map is continuous if only if is continuous for all and .
-charges are the -continuous linear functionals, as it readily follows from Remark 4.6.
Proposition 4.11**.**
A linear functional is an -charge if and only if it is -continuous.
We now turn to proving the key result for obtaining Theorem 1.2.
5. Towards Theorem 1.2
Throughout this section, we assume that is a system of linearly independent vector fields in , and that the open set supports inequalities of type (4) and (10); we also assume that one has .
Remark 5.1*.*
It follows from Theorem 1.1, Proposition 2.1 and Remark 4.9 that for any , one can find an open neigborhood of in satisfying all the above assumptions.
Our intention is to prove the following result.
Theorem 5.2**.**
If is an -charge in , then there exists for which one has , i.e. such that one has, for any :
[TABLE]
To prove this theorem, we have to show that the map
[TABLE]
is surjective. In order to do this, we endow with the usual Fréchet topology of uniform convergence on compact sets, and with the Fréchet topology associated to the family of seminorms defined by:
[TABLE]
where ranges over all compact sets . The surjectivity of will be proven in case we show that is continuous and verifies the following two facts:
- (a)
is dense in . 2. (b)
is sequentially closed in the strong topology of .
Indeed, it will then follow from the Closed Range Theorem [EDW, Theorem 8.6.13] together with[DPMP, Proposition 6.8] and (b) that is closed in . Using (a) we shall then conclude that one has:
[TABLE]
i.e. that is surjective.
The strategy of the proof of (b) follow the lines of De Pauw and Pfeffer’s proof in [DPP]. For the proof of (a), however, the proof presented below is slightly different from their approach; we namely manage to avoid an explicit smoothing process and choose instead to use an abstract approach similar to the one used in [M] in order to solve the equation .
Let us start by showing that is continuous.
Lemma 5.3**.**
The map is linear and continuous.
Proof.
Indeed given a compact set and we have:
[TABLE]
which implies . ∎
First we have to identify the dual space .
5.1. Identifying the dual space
The following result is the identification we need.
Proposition 5.4**.**
The map given by is a linear bijection.
The proof of the previous proposition is quite delicate. We shall proceed in several steps which will be interesting as such.
First let us check that is well defined. In fact, given and we have
[TABLE]
according to the definition of . Hence is continuous and .
To show that is injective, let be such that . Then for any measurable and bounded we have:
[TABLE]
Thus a.e. in , which implies that injective.
The next step is to prove that is surjective. To show this property we shall define a right inverse for , called .
Let be defined by:
[TABLE]
We claim that is well defined, i.e. that for , we have . Indeed, given there exist and such that for all we have . In particular, for every we have:
[TABLE]
which implies that by Riesz Representation theorem. Note that if satisfies then one has , which implies . Moreover, for any we have:
[TABLE]
so that one has .
Lemma 5.5**.**
The maps and defined above are inverses, i.e. we have:
- (i)
; 2. (ii)
* (in particular, is surjective).*
In order to prove the previous lemma, we shall need some observations concerning the polar sets of some neighborhoods of the origin in . First, observe that the family of all sets (where ranges over all compact subsets of , and over all positive real numbers) defined by:
[TABLE]
is a basis of neighborhoods of the origin in .
Claim 5.6*.*
Fix a compact set and a real number . For any , one has:
- (i)
;
- (ii)
.
Proof.
To prove (i), assume that satisfies . Then, we get for :
[TABLE]
In particular this yields . We hence obtain:
[TABLE]
for any . Since is arbitrary, this implies that one has , i.e. that . We may now conclude that . In order to obtain statement (ii), fix satisfying and compute:
[TABLE]
so that one has . It hence follows that:
[TABLE]
and we thus get:
[TABLE]
Since is an arbitrary vector field satisfying , this yields , and concludes the proof of the claim. ∎
We now turn to proving Lemma 5.5.
Proof of Lemma 5.5.
To prove part (i), fix and compute, for :
[TABLE]
that is, in the sense of distributions.
In order to prove part (ii), fix . We have to show that, for any , we have:
[TABLE]
i.e. that for any , one has:
[TABLE]
To this purpose, define for any a map:
[TABLE]
Claim 5.7*.*
Given , the map is weakly∗-continuous on for all and .
To prove this claim, fix , and assume that is a net weak∗-converging to [math]. In particular one gets:
- (a)
for any , we have and hence the net converges to [math].
According to Claim 5.6, we moreover have:
- (b)
for each ;
- (c)
.
It hence follow from Proposition 3.6 that the net converges to [math]. From the fact that is an -charge we see that the net converges to [math] as well. This means, in turn, that converges to [math], which shows that is weak∗-continuous on .
Claim 5.8*.*
For any , we have .
To prove the latter claim, observe that according to Claim 5.7 and to the Banach-Grothendieck theorem [EDW, Theorem 8.5.1], there exists such that for any , we have:
[TABLE]
Yet given , we then have, according to [Lemma 5.5, (i)]:
[TABLE]
i.e. , which proves the claim.
It now suffices to observe that Lemma 5.5 is proven for we have established the equality for any and . ∎
As a corollary, we get a proof of the density of in .
Corollary 5.9**.**
The space is dense in .
Proof.
Assuming that satisfies , we compute for any :
[TABLE]
This means that , and implies that . The result then follows from the Hahn-Banach theorem. ∎
Corollary 5.10**.**
The space is dense in .
Proof.
It follows from the previous corollary that is dense in . Since by hypothesis we also have , it is clear that is dense in . ∎
In order to study the range of , we introduce the following linear operator:
[TABLE]
defined by for any .
Claim 5.11*.*
We have .
Proof.
To prove this claim, fix . If one has for some , then we compute for :
[TABLE]
so that one has . Conversely, if one has for some , then we compute for :
[TABLE]
so that one has . ∎
Consider the set
[TABLE]
It is clear that is bounded in . Hence the seminorm:
[TABLE]
is strongly continuous (i.e. continuous with respect to the strong topology) on . Observe now that one has, for :
[TABLE]
Lemma 5.12**.**
The set is strongly sequentially closed in .
Proof.
Fix a sequence and assume that, in the strong topology, one has:
[TABLE]
The strong continuity of then yields:
[TABLE]
Claim 5.13*.*
There exists a compact set such that one has for each .
To prove this claim, let us first prove that the sequence is compactly supported in (i.e. that there is a compact subset of containing for all ). To this purpose, we proceed towards a contradiction and assume that it is not the case. Let then be an exhaustion of by open sets satisfying, for each , and such that is a compact subset of for each . Since is not compactly supported, there exist increasing sequences of integers and satisfying, for any :
[TABLE]
In particular, there exists for each a vector field with and:
[TABLE]
Let now, for , and define a bounded set by:
[TABLE]
It follows from the construction of that one has for any . Moreover the seminorm
[TABLE]
is strongly continuous. Yet we get for :
[TABLE]
Since this yields , , we get a contradiction with the fact that is strongly continuous (recall that converges in the strong topology).
Now fix and ; choose an open set such that one has and observe that one has . It hence follows that is a.e. equal to [math] on , and hence that . This proves the inclusion for all , which establishes the claim.
Getting back to the proof of Lemma 5.12, observe that, according to Proposition 3.6, there exists a subsequence , -converging to . Using the fact that is an -charge, we compute:
[TABLE]
and hence we get . ∎
We hence proved the following theorem.
Theorem 5.14**.**
We have .
6. Appendix
Theorem 6.1**.**
Let be a pseudodifferential operator with symbol in the Hörmander class and consider be the distribution kernel of defined by the oscillatory integral
[TABLE]
If then maps continuously onto itself.
Proof.
Writing it is sufficient to prove that using a pointwise control of the kernel due to Àlvarez and Hounie in [AH]. In order to prove the boundedness in norm, we first localize the kernel in the diagonal region. Let be a neighborhood of the diagonal. If then is bounded and clearly the property follows. If then there exists such that , and then is integrable on , since . The limiting case occurs when , which implies from which the property follows. On the other hand, by the pseudo-local property (see [AH, Theorem 1.1]), we see that there exists such that for and ; hence is integrable on , since . Combining all those cases we conclude that . ∎
Consider a class of pseudodifferential operators, called Bessel potential for , defined by
[TABLE]
where belongs to the Hörmander class . We define the nonhomogeneous Sobolev space for and as
[TABLE]
with associated norm . As a consequence of Theorem 3.5 in [AH] and Theorem 6.1 when , it follows that continuously, i.e. that one has:
[TABLE]
For a fixed ball let the ball with the same center as but twice its radius. Let satisfy on and define the pseudodifferential operator with symbol . Denote by the set of distributions such that , endowed with the semi-norm . Note that the space is independent of the choice of . In view of (19), we have the continuous inclusion:
[TABLE]
for . Next we present a version of the Rellich-Kondrachov compactness for .
Theorem 6.2**.**
Let . The embedding is compact.
The proof follows the same strategy as the proof of Theorem A in [HKP] and will be presented for the sake of completeness. The compact embedding of in for could be established by analogous means.
Proof.
According to the previous comments on continuity, it is enough to verify the compactness. We will show that if is a bounded sequence in then there exist a subsequence which converges in . Consider the regularizations where , , and . It is enough to show that the family has the following two properties:
- (i)
for any fixed , the sequence is a relatively compact subset of ; 2. (ii)
in uniformly in as ,
where is a closed ball that contains the support of all .
Since the inclusion is continuous, property (i) will follow once we shall have proven that is a precompact subset of . We claim that for each , is uniformly bounded and equicontinuous. In fact, one has for :
[TABLE]
and analogously
[TABLE]
The conclusion follows from Arzelà-Ascoli theorem.
To prove (ii) we will first consider the identity :
[TABLE]
But from the equalities we get:
[TABLE]
after which we compute, using Fubini’s theorem:
[TABLE]
To obtain the latter inequalities, we observe (defining and letting be the ball defined above):
[TABLE]
where and are constants for .
To finish the proof, we claim that, for a given , there exists a subsequence such that one has:
[TABLE]
Indeed, for sufficiently small, we have:
[TABLE]
uniformly in . Since and are supported in a closed ball , by Arzelà-Ascoli’s theorem there exists a subsequence wich converges uniformly in . In particular, this yields:
[TABLE]
Note that (20) is a consequence of (21) and (22). Using (20) for for and the diagonal process we can extract a convergent subsequence .
∎
Acknowledgments
We wish to thank Prof. Jorge Hounie (Universidade Federal de São Carlos) for helpful suggestions concerning this work.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1[AH] J. Àlvarez and J. Hounie, Estimates for the kernel and continuity properties of pseudo-differential operators , 18 no. 04 (2011), 1–14.
- 2[BB 1] J. Bourgain and H. Brezis, On the equation div Y = f div Y f \rm{div}\;Y=f and application to control of phases , J. Amer. Math. Soc. 16 (2003), 393–426.
- 3[GN] N. Garofalo and D.-M. Nhieu, Isoperimetric and Sobolev inequalities for Carnot-Carathéodory spaces and the existence of minimal surfaces , Comm. Pure Appl. Math., 49 no. 10 (1996), 1081–1144.
- 4[GS] A. Grigs and J. Sjöstrand, Microlocal Analisys for Differential Operators, An Introduction , Cambridge University Press (1994).
- 5[DPMP] T. De Pauw, L. Moonens and W. Pfeffer, Charges in middle dimension , J. Math. Pures Appl. 92 (2009), 86–112.
- 6[DPP] T. De Pauw and W. Pfeffer, Distribution for which d i v u = F 𝑑 𝑖 𝑣 𝑢 𝐹 div\;u=F has a continuous solution , Comm. Pure Appl. Math LXI (2008), 230–260.
- 7[EDW] R. E. Edwards, Functional analysis , Dover Publications Inc., New York, (1995).
- 8[HKP] G. Hoepfner, R. Kapp and T. Picon, Pseudodifferential Operators, Rellich-Kondrachov theorem and Hardy-Sobolev spaces , submitted (2016).
