Abstract
In generalized inner product Sobolev spaces we investigate elliptic differential problems with additional unknown functions or distributions in boundary conditions. These spaces are parametrized with a function OR-varying at infinity. This characterizes the regularity of distributions more finely than the number parameter used for the Sobolev spaces. We prove that these problems induce Fredholm bounded operators on appropriate pairs of the above spaces. Investigating generalized solutions to the problems, we prove theorems on their regularity and a priori estimates in these spaces. As an application, we find new sufficient conditions under which components of these solutions have continuous classical derivatives of given orders. We assume that the orders of boundary differential operators may be equal to or greater than the order of the relevant elliptic equation.
Keywords:
elliptic problem; generalized Sobolev space; Fredholm operator; regularity of solutions; a priori estimate for solutions MSC:
Primary 35J40; 46E35
1. Introduction
This work is a contribution to the theory of elliptic boundary-value problems in generalized Sobolev spaces founded recently by Mikhailets and Murach [1,2,3,4,5,6,7,8] and developed in [9,10,11,12,13,14,15,16]. These spaces are parametrized with a general enough function of frequency variables (which are dual to spatial variables with respect to the Fourier transform). It characterizes the regularity of distributions more finely than the number parameter used for the Sobolev spaces or other classical distribution spaces. Thus, the order of regularity of generalized Sobolev spaces is a function, not a number. We apply these spaces to elliptic differential problems with additional unknown functions or distributions in boundary conditions. Such problems were introduced by Lawruk [17,18,19] and appear naturally as formally adjoint problems to nonregular elliptic problems with respect to a relevant Green formula. Important examples of such problems occur, e.g., in hydrodynamics and the theory of elasticity [20,21,22]. Since these problems belong to the Boutet de Monvel algebra, the theorems on their solvability in Sobolev spaces of large enough orders are contained in the results by Boutet de Monvel [23], Rempel and Schulze (Chapter 4, [24]), Grubb [25,26]. Such a theorem is also proved in (Section 23, Subsection 4, [27]) within Eskin and Vishik’s theory of elliptic pseudodifferential boundary problems. The case of Sobolev spaces of arbitrary orders was investigated by Kozlov, Maz’ya, and Rossmann (Chapters 3 and 4, [28]), I. Roitberg [29,30], Y. Roitberg (Chapter 2, [31]), and A. Kozhevnikov [32] in the framework of special spaces introduced by Y. Roitberg [33,34].
In contrast to the works just mentioned, we study these problems in Hilbert distribution spaces that form the extended Sobolev scale investigated in [35,36] and (Section 2.4, [8]). The regularity orders of such spaces are arbitrary OR-varying (O-regularly varying) functions at infinity. It is remarkable that this scale consists of all Hilbert spaces that are interpolation ones between inner product Sobolev spaces, which allows the use of the interpolation (with function parameter) between Hilbert spaces in proofs. Unlike the nearest articles [37,38,39,40,41] to the present research, we do note impose any restrictions on the orders of the boundary differential operators involved in the problems and do not require that the regularity orders of the generalized Sobolev spaces being used satisfy any additional (unessential) conditions. The results obtained in this paper are partly announced in [42] (without proofs).
This paper consists of eight sections. Section 1 is Introduction. Section 2 gives the statement of the elliptic problem under investigation. Section 3 presents and discusses generalized Sobolev spaces being used. The main results are formulated in Section 4. They consist of the Fredholm property of bounded operators induced by the problem on appropriate pairs of generalized Sobolev spaces, relevant isomorphisms between some subspaces of finite codimension, conditions for local (up to the boundary) regularity of generalized solutions to the problem, and their a priori estimate in these spaces. The case of the homogeneous elliptic equation is separately considered at the end of this section. Section 5 is devoted to the method of interpolation (with function parameter) between Hilbert spaces and discusses some of its properties used in our proofs. The proofs are given in Section 6. Section 7 is devoted to applications of the extended Sobolev scale to the investigations of classical smoothness of the generalized solutions. We find new sufficient conditions under which components of these solutions have continuous classical derivatives of given orders. Among them are conditions for generalized solutions to be classical. The final Section 8 contains concluding remarks.
2. Statement of the Problem
Let be a bounded domain in the Euclidean space , with , and let denote the boundary of . Suppose that is an infinitely smooth closed manifold of dimension , with the -structure on being induced by . Let denote the field of the unit inward normal vectors to .
Choose integers , , , and arbitrarily. We consider the following boundary-value problem in :
Here, the unknowns are the distribution u in and distributions on . We suppose that is a linear partial differential operator (PDO) on ; each is a linear boundary PDO on , and every is a linear tangent PDO on . Their orders satisfy the conditions , , and , and their coefficients are infinitely smooth complex-valued functions of or respectively. (Of course, a PDO of negative order is assumed to equal zero identically.) We consider complex-valued functions and distributions and use corresponding complex function or distribution spaces.
We put
and assume that
This assumption is natural; indeed, if for some k, all the operators ,…, will equal zero identically, i.e., the unknown distribution will be absent in the boundary conditions (2). Note that the case is possible.
We suppose that the boundary-value problem (1), (2) is elliptic in . Let us recall the relevant definition (see, e.g., (Subsection 3.1.3, [28])).
Let , , and denote the principal symbols of the PDOs , , and respectively, the last two PDOs being considered as that of the formal orders and respectively. Thus, and are homogeneous polynomials in of order and respectively, and is a homogeneous polynomial of order in , where is a tangent vector to the boundary at the point x. Defining the principal symbols, we consider the principal parts of the PDOs as polynomials with respect to , where , and then replace each differential operator with the ℓ-th component of the vector .
The boundary-value problem (1), (2) is called elliptic in if the following three conditions are satisfied:
- (i)
- The PDO is elliptic at every point , i.e., whenever .
- (ii)
- The PDO is properly elliptic at every point ; i.e., for an arbitrary tangent vector to at x, the polynomial in has q roots with positive imaginary part and q roots with negative imaginary part (of course, these roots are counted with regard for their multiplicity).
- (iii)
- The boundary conditions (2) cover at every point . This means that, for each vector from condition (ii), the boundary-value problemhas only the trivial (zero) solution. Here, the function and numbers are unknown. In addition, and are differential operators with respect to . We obtain them putting in the polynomials and in , respectively.
As is known (Chapter 2, Sections 1.1 and 1.2, [43]), condition (ii) follows from condition (i) in the case and also in the case where and where all the leading coefficients of are real-valued. If , condition (iii) is equivalent to the Lopatinskii condition for classical elliptic problems.
Examples of elliptic problems of the form (1), (2) are given in (Subsection 3.1.5, [28]). We supplement them with the following boundary-value problem:
Here, we arbitrarily choose integers and and real-valued functions such that for every . As usual, , is the Laplace operator in , and is the Beltrami – Laplace operator on . This problem takes the form (1), (2), where , , , , and . Direct calculation shows that this problem is elliptic in . Note that, if for some point , it is impossible to exclude the unknown function from the boundary conditions and preserve the smoothness of the coefficients and right-hand side of the boundary condition obtained.
We will investigate properties of an extension (by continuity) of this mapping on appropriate pairs of Hilbert distribution spaces that form extended Sobolev scales over and .
To describe the range of this extension, we need the following special Green formula (formula (4.1.10), [28]):
for arbitrary functions and
Of course, if (which is equivalent to ), the functions and the relevant sums will be absent. Here, and stand respectively for the inner products in the Hilbert spaces and of functions square integrable over and relative to the Lebesgue measures. We also let denote the PDO which is formally adjoint to A relative to . Moreover, , , and respectively denote the tangent PDOs which are formally adjoint to , , and relative to , the tangent PDOs and appearing in the representation of the boundary PDOs and in the form
We put and understand as a boundary PDO on ; specifically, means the trace operator on . Note that and . Finally, is a certain boundary PDO on whose order and whose coefficients belong to .
This Green formula leads us to the following boundary-value problem in :
Here, the distribution in and the distributions , on are unknown. This problem is formally adjoint to the problem (1), (2) with respect to the above Green formula. As is known (Theorem 3.1.2, [28]), the problem (1), (2) is elliptic in if and only if the formally adjoint problems (6)–(8) are also elliptic in .
3. Extended Sobolev Scale
This scale was introduced and investigated in (Section 2.4.2, [8]) and [36], first over and then over Euclidean domains and closed infinitely smooth manifolds. The scale consists of Hilbert generalized Sobolev spaces [44,45] whose order of regularity is a function from a certain class .
By definition, the class consists of all Borel measurable functions for each of which there exist numbers and such that whenever and . (If we fix b, e.g., choose , the class will not change. The number c depends on .) Such functions were introduced by Avakumović [46], are called OR-varying (or O-regularly varying) at infinity, are well investigated, and have various applications [47,48,49].
This class admits the following simple description:
here, and are bounded Borel measurable real-valued functions on (see, e.g., (Theorem A.1, [49])).
The next characteristic property of the class plays an important role in our paper: A Borel measurable function pertains to if and only if there exist numbers , with , and a number such that
(see, e.g., (Theorem A.2(a), [49])). Given , we put
The numbers and are called respectively the lower and the upper Matuszewska indices of (see [50] and also (Theorem 2.2.2, [47])).
The well-known example of a function is given by every continuous function such that
with and . In this case, .
We obtain a simple example of a function with the different Matuszewska indices if we put
provided that , , and . In this case, and . If , this function will still belong to the class but with and ; if , then (see, e.g., (Section 3, [9])).
Another example of a function with the different Matuszewska indices is given by Formula (9) in which
provided that for an arbitrarily chosen increasing sequence satisfying and as . Note that the latter condition is essential; thus, if for some number whenever , the function will be slowly equivalent to the power function on and hence will hold.
Now let us turn to generalized Sobolev spaces that form the extended Sobolev scale. We begin with the spaces given over , with . Let . The (complex) linear space consists of all distributions such that their Fourier transform is a classical function which is locally Lebesgue integrable over and satisfies the condition
As usual, denotes the linear topological space of tempered distributions on , and stands for the smoothed absolute value of a vector . We interpret distributions as antilinear continuous functionals on a relevant space of test functions.
The space is endowed with the inner product
and the corresponding norm . This space is Hilbert and separable, and the set of compactly supported test functions is dense in it. We say that is the order of regularity of the space and its versions for and considered below.
This space is an isotropic Hilbert case of the spaces introduced and investigated by Hörmander in (Section 2.2, [44]) and applied by him to partial differential equations (see also (Section 10.1, [51])). Namely, if and for all , then . Note that the Hörmander spaces in the Hilbert case form a subclass of the spaces introduced by Malgrange [52] and coincide with the spaces investigated by Volevich and Paneah (§ 2, [45]).
If for some , the space is the inner product Sobolev space of order s. Generally,
both embeddings being continuous and dense. This property is a direct consequence of the inequality (10) written for .
According to (Section 2.4.2, p. 105, [8]), the class
is called the extended Sobolev scale over . This class has remarkable interpolation properties; namely, it is obtained by means of the interpolation with function parameter between inner product Sobolev spaces, is closed with respect to the (quadratic) interpolation between Hilbert spaces, and consists of all Hilbert spaces that are interpolation ones between inner product Sobolev spaces [36]. Thus, the class (12) is the maximal extension of the Hilbert scale of Sobolev spaces with the help of the interpolation between Hilbert spaces. These properties of the extended Sobolev scale make it suitable and useful in the study of linear operators induced by elliptic PDEs and elliptic problems (see (Section 2.4.3, [8]) and [9,10,12,13,53]).
The extended Sobolev scales over the domain and its boundary are built in a standard way on the base of (12) (see (Section 2, p. 139, [36]) and (Section 2.4.2, p. 106, [8]) respectively). Let us give the necessary definitions. Now we suppose that .
As above, . By definition, the linear space consists of the restrictions to of all distributions . The space is endowed with the norm
with . The space is Hilbert and separable with respect to this norm because it is a factor space of the Hilbert space by its subspace
The set is dense in .
Briefly saying, the space consists of all distributions on that yield elements of in local coordinates on . Let us give a detailed definition. We arbitrarily choose a finite atlas , with , from -structure on the manifold . Here, the open sets form a covering of . Let functions , with , satisfy the conditions and . By definition, the linear space consists of all distributions h on such that for each . Here, is a representation of the distribution in the local map . The space is endowed with the norm
This space is Hilbert and separable and does not depend up to equivalence of norms on our choice of and (Theorem 2.21, [8]). The set is dense in .
Thus, we have the extended Sobolev scales
over and respectively. They contain Hilbert Sobolev scales; namely, if for some , then and are the inner product Sobolev spaces of order s.
The classes (12) and (13) are partially ordered with respect to embedding of spaces. Let and . The function is bounded in a neighbourhood of infinity if and only if . This embedding is dense and continuous. It is compact in the case if and only if as . This follows directly from (Theorems 2.2.2 and 2.2.3, [44]). Specifically, property (11) remains true and the relevant embeddings become compact if we replace with or .
4. The Main Results
With the problem (1), (2), we associate the following Hilbert spaces:
and
where . In these and similar designations, we use the function parameter not to write the argument t in indices. Thus, e.g., the parameter means the function of . Let denote the norm in , and let stand for the norm in . In the Sobolev case where for certain , we denote these spaces by and respectively.
Let denote the linear space of all solutions
to the problem (1), (2) in the case where in and each on . Similarly, let stand for the linear space of all solutions
to the formally adjoint problems (6)–(8) in the case where in and all and on . Since both problems are elliptic in , the spaces and are finite-dimensional (Consequence 4.1.1, [28]).
Theorem 1.
Let and . Then the mapping (4) extends uniquely (by continuity) to a bounded linear operator
This operator is Fredholm. Its kernel coincides with . Its range consists of all vectors
such that
The index of the operator (14) is equal to and hence does not depend on η.
As to this theorem, we recall that a linear bounded operator between Banach spaces X and Y is called Fredholm if its kernel and cokernel are finite-dimensional. The Fredholm operator has the closed range (see, e.g., (Lema 19.1.1, [54])) and the finite index
where is the adjoint of T.
Formula (16) needs commenting. Certainly, if , the first sum with respect to j will be absent in this formula. The first components of the forms in (16) belong to . Indeed, since , we conclude in the case that
in view of (Proposition 4, [10]) and because
In addition,
because . Thus, both the sums with respect to j are well defined in (16). If , then and the inner product is also well defined. If , we put where is an arbitrary sequence of functions that converges to f in . The limit exists for every indicated in (16) and does not depend on the choice of , which will be shown in the proof of Theorem 1.
If and , then the operator (14) becomes an isomorphism between the spaces and . Generally, this operator induces an isomorphism between some of their (closed) subspaces, which have a finite codimension. It is convenient to give this isomorphism with the help of certain decompositions of the source and target spaces of (14) in direct sum of their subspaces. Let ; then
This decomposition is well defined because it is a restriction of the relevant orthogonal decomposition of the Hilbert space . Note that lies in the above space due to (3). A decomposition of is based on the following result:
Lemma 1.
There exists a finite-dimensional space
such that and
whenever and . If , we may take .
Let P and denote respectively the projectors of the spaces and onto the second term in the sums (17) and (18) parallel to the first. The rules that define these projectors do not depend on .
Theorem 2.
Let and . The restriction of the operator (14) to the subspace is an isomorphism
Let us study properties of generalized solutions to the elliptic problem (1), (2) in the spaces used above. Beforehand, we will give a definition of such solutions. Put
the last equality being valid due to (11). Let the right-hand sides of the problem (1), (2) satisfy the condition
As usual, and denote the linear topological spaces of all distributions on and respectively. A vector
is called a generalized solution to this problem if . Here, means the operator (14) for a certain parameter subject to . This definition is reasonable because it is independent of .
We investigate local (up to the boundary ) regularity of generalized solutions to the problem (1), (2). Let V be an open subset of such that . We put , the case being possible. Given , we introduce local versions of the spaces and as follows:
and
Given , we put
and
Theorem 3.
If and , we have the equalities and . In this case, Theorem 3 deals with the global regularity of , i.e., concerns the regularity of u in and v on .
We supplement this theorem with the following a priori estimate of :
Theorem 4.
Let and , and suppose that a vector satisfies the hypothesis of Theorem 3. Let functions be such that and that in a neighbourhood of . Then
where c is a certain positive number that does not depend on .
Here, of course,
and the expression is similarly understood.
These theorems were proved in (Sections 4 and 6, [40]) in the special case where the function varies regularly at infinity in the sense of J. Karamata and on the assumption that . If and if the function satisfies the stronger condition , Theorems 1–3 were proved in (Sections 4 and 6, [39]). (The indicated articles are published in Ukrainian.)
Generally, the conclusions of these theorems are not valid for arbitrary . Specifically, if for certain and if in the representation of in the form (5), then the mapping , where , cannot be extended to a continuous linear operator from the whole Sobolev space to ; this follows from (Chapter 1, Theorem 9.5, [43]). Hence, the bounded linear operator (14) is not well defined in the case under these conditions. However, if the elliptic Equation (1) is homogeneous (i.e., in ), certain versions of the above theorems will hold for any . We restrict ourselves to a relevant version of the key Theorem 1.
Given , we put
Here, is understood in the sense of the distribution theory. We endow the linear space with the inner product and norm in . The space is complete because the differential operator A is continuous on . The set
is dense in by (Theorem 7.1, [9]).
Consider the linear mapping
With this mapping, we associate the Hilbert spaces
and
Let denote the linear space of all vectors for each of which there exist functions and such that
Certainly, , with the strict inequality being possible (Theorem 13.6.15, [51]).
Theorem 5.
For every , the mapping (21) extends uniquely (by continuity) to a bounded linear operator
This operator is Fredholm. Its kernel coincides with . Its range consists of all vectors
such that
The index of the operator (22) equals and hence does not depend on η.
Since the function parameter is arbitrary in this theorem, components of the vector (23) may be irregular distributions on . We therefore interpret the expression in (24) as the value of the distribution on the test function and consider the space as the dual of with respect to the inner product in .
This theorem was given (without a complete proof) in [37,38] in the special case where the function varies regularly at infinity, paper [38] treating the case.
5. The Interpolation between Hilbert Spaces
As has been mentioned in Section 3, the extended Sobolev scale possesses an important interpolation property, which will play a decisive role in the proof of Theorems 1 and 5. Namely, each space , where and , can be obtained by the interpolation (with an appropriate function parameter) between inner product Sobolev spaces and such that and . Therefore, we will recall the definition of the interpolation between Hilbert spaces and formulate its properties being used in our proofs.
The interpolation method we need was introduced by C. Foiaş and J.-L. Lions in (p. 278, [55]). Expounding it, we mainly follow monograph (Section 1.1, [8]), which gives its various applications to elliptic operators and elliptic boundary-value problems. It is sufficient for our purposes to restrict ourselves to separable Hilbert spaces.
Let be an ordered pair of separable complex Hilbert spaces and such that is a manifold in and that whenever , with the number not depending on w. This pair is called regular. As is known, for X there exists a positive-definite self-adjoint operator J given in the Hilbert space and such that is the domain of J and that for all . This operator is uniquely determined by the pair X and is called the generating operator for this pair. The operator J sets an isometric isomorphism between and .
Let denote the set of all Borel measurable functions such that is bounded on each compact interval , with , and that is bounded on every set , with .
Given and applying the spectral theorem to the self-adjoint operator J, we obtain the (generally, unbounded) operator on . Let or, briefly, denote the domain of endowed with the inner product and the corresponding norm . The space is Hilbert and separable and is continuously embedded in .
We call a function an interpolation parameter if the following condition is satisfied for all regular pairs and of Hilbert spaces and for an arbitrary linear mapping T given on whole : If the restriction of T to is a bounded operator from to for every , then the restriction of T to is also a bounded operator from to . We say in this case that is obtained by the interpolation, with the function parameter , of the pair X (or, in other words, between and ) and that the bounded operator is the result of the interpolation applied to the operators with .
A function is an interpolation parameter if and only if is pseudoconcave in a neighbourhood of infinity, i.e., there for a certain positive concave function of . (As usual, means that the functions and are bounded on the indicated set). This fundamental fact follows from J. Peetre’s [56] description of all interpolation functions of positive order. Specifically, the power function is an interpolation parameter if and only if .
It is useful for us to formulate the above-mentioned interpolation property of the extended scale as follows:
Proposition 1.
Let , and suppose that real numbers and satisfy and . Define a function by the formula
Then ψ is an interpolation parameter, and
up to equivalence of norms provided that . If , then (26) holds true with equality of norms.
This property is proved in (Theorems 2.19 and 2.22, [8]) for and in (Theorem 5.1, [36]) for .
Proving Theorem 5, we will use the following interpolation property of the space (Theorem 7.8(i), [9]):
Proposition 2.
Let , , and satisfy the hypothesis of Proposition 1. Then
up to equivalence of norms.
We also need two general interpolation properties given below.
Proposition 3.
Let and be regular pairs of Hilbert spaces. Suppose that a linear mapping T on satisfies the following condition: The restrictions of T to the spaces , with , are bounded and Fredholm operators that have a common kernel and the same index. Then, for an arbitrary interpolation parameter , the bounded operator is Fredholm with the same kernel and index, and the range of the last operator equals .
Proposition 4.
Let , where , be a finite number of regular pairs of Hilbert spaces. Then
with equality of norms norms whatever .
The proofs of these propositions are given, e.g., in (Subsections 1.1.7 and 1.1.5, resp., [8]).
6. Proofs of the Main Results
Proof of Theorem 1
We first consider the Sobolev case where and . In this case, Theorem 1 is essentially contained in Grubb’s result (Corollary 5.5, [25]). As compared with the last two sentences of Theorem 1, Grubb proved that there exists a finite dimensional subspace of that plays the role in this theorem. If , we may take , as is shown in (Section 6, Proof of Theorem 1, [40]). Let us show that we may do so in the case where .
Let stand for the Fredholm operator (14) in the case under consideration. The adjoint of is a Fredholm bounded operator between the dual spaces and , the duality being with respect to the inner products in and respectively. Since the kernel and index of are independent of s, so is the kernel of . We consider the case where . According to (Lemma 3.4.2, [28]), the equality holds provided that and that we interpret every vector as the continuous linear functional
on . Hence, for every real . This implies that the functional extends uniquely (by continuity) to a linear continuous functional on if . Specifically, the form is well defined for every in the case as the limit where is an arbitrary sequence of functions that converges to f in . Now, since is a Fredholm operator whenever , its range consists of all vectors such that for every . This condition becomes (16) in the case due to the above interpretation of the functional . Moreover,
Thus, the conclusion of Theorem 1 holds true in the Sobolev case where and real . We will deduce Theorem 1 in the general case with the help of the interpolation between Sobolev spaces. Let satisfy . Note first that if , the expression is well defined in (16) for every by passing to the limit on functions of class because is continuously embedded in for certain due to (11). Choose real numbers and such that and , and define the interpolation parameter by (25). Applying the interpolation with the parameter to the Fredholm bounded operators and , we obtain the Fredholm bounded operator
due to Proposition 3. Owing to Propositions 1 and 4, this operator acts between the spaces
and
The operator is an extension by continuity of (4) because the set is dense in . Owing to Proposition 3, the kernel and index of this operator coincide with the common kernel and the index of the operators and . In addition,
Thus, we have proved all the properties of the operator (14) indicated in Theorem 1. □
Proof Lemma 1
We separately consider the cases where and where . If , this lemma is contained in (Lemma 1, [40]) provided that and . Hence, the required formula (18) follows directly from the decomposition
in which .
If , then (18) holds true for because the intersection of the subspaces on its right-hand side is zero space and since the finite dimension of the first subspace equals the co-dimension of the second by Theorem 1. □
Proof of Theorem 2
Proof of Theorem 3
Our reasoning is motivated by (Proof of Theorem 7, [13]). Put
We first prove that, under the hypothesis of Theorem 3, the implication
holds true for every . Here, we use algebraic sums of spaces.
We choose a number arbitrarily and suppose that the premise of the implication (28) is true. Given , we select a function such that in a neighbourhood of . By the hypothesis, , with . Interchanging the operator of the multiplication by with the component-wise PDO operator , we write
Here, is a certain component-wise PDO of the form of , the orders of all components of being at least in 1 less than the orders of the corresponding components of . Thus,
By the premise of the implication (28), we have the sum for certain vectors and . In view of (29) we obtain
where
Recall that by the hypothesis of the theorem. The boundedness of the operator
follows by Proposition 1 from the well-known boundedness of the operators
where and .
It follows from (30)–(32) that
here, the vectors
are the unique solutions of the operator equations
and
due to Theorem 2. By Theorem 1 we hence get
for a certain vector , which in view of (33) proves the required implication (28).
Since by the hypothesis of the theorem, the premise of this implication holds true for . Choose an integer such that . Applying the implication (28) p times successively for , ,…, and , we conclude that
for every ; i.e., . □
Proof of Theorem 4
Let and denote some positive numbers that do not depend on . According to Theorem 3, we have the inclusion . As is known in the theory of operators (Lemma 3, [57]), it follows from the Fredholm property of the bounded operator (14) and from the compact embedding that
Owing to (29), we get
This yields the required estimate (20). □
Proof of Theorem 5
We first prove this theorem in the Sobolev case where and and then deduce it in the general case with the help of Proposition 2. To prove the theorem in the Sobolev case, we exploit some Hilbert spaces introduced by Roitberg [33,34] and make use of known results (Sections 3.4 and 4.1, [28]) on the solvability of the elliptic problem (1), (2) in these spaces.
Let and , and recall the definition of the Roitberg space . We previously introduce the Hilbert space used in the definition of . If , then ; if , then denotes the dual of with respect to the inner product in . Let stand for the norm in . By definition, the space is the completion of with respect to the Hilbert norm
here denotes the norm in , with . It follows from the trace theorem for Sobolev spaces that
The mapping , where , extends by continuity to an isometric linear operator
According to (Theorems 3.4.1 and 4.1.4, [28]), the mapping (4) extends by continuity to a Fredholm bounded operator
for arbitrary . Its kernel coincides with , and its range consists of all vectors that belong to the target space in (35) and satisfy the condition
Here, if , and if (then the first sum with respect to j is absent). The forms and in (36) are well defined as extensions by continuity of the inner products in and , respectively.
Choose a number arbitrarily. As we see from (35), the mapping , where , extends by continuity to a bounded linear operator . Using this operator, we put
We may and do consider as a Hilbert space with respect to the norm in .
The restriction of the operator (35) to is a bounded operator
Let and respectively denote the source and target spaces of the operator (37). It follows from the above-mentioned properties of (35) that is the kernel of the operator (37) and that its range consists of all vectors which satisfy (24). Hence, the range is closed in and its codimension equals . Thus, the operator (37) is Fredholm, and its index is equal to .
Let us show that the spaces and are completions of with respect to equivalent norms, which proves Theorem 5 in the Sobolev case where . Of course, denotes the space in this case. We first show that is dense in . Given , we form the vector and choose a sequence of vectors such that in , all limits in the proof holding as . Consider the decomposition
and let denote the projector of onto the second summand parallel to the first. Then
Let denote the orthogonal complement of in the Hilbert space . The restriction of the operator (37) to sets an isomorphism between the Hilbert spaces and , the latter space being endowed with the norm in . Let be the preimage of by this isomorphism. Owing to (38), we conclude that
for certain . The inclusion in (39) holds true because
whenever . Indeed, the last property implies that
for some and , which yields
in view of (34). According to (39), we get
Thus, the set is dense in .
Choose such that . Then
Here, is the norm in the Sobolev space , and ≍ denotes equivalence of norms. The first inequality and the equivalence of norms in (40) need explanation. If , this inequality becomes the equality due to the definition of . If , then it follows from the definition that the norm of any function in equals the norm of the extension of u by zero in (see, e.g., (Chapter 1, Remark 12.4, [43])). This implies the first inequality in (40) in the case. If , the equivalence in (40) follows from (34). If , this equivalence is due to the isomorphism (4.196) from (Section 4.4.2, [8]), we considering this isomorphism for the properly elliptic PDO (of order ) and the space where . Thus, the spaces and coincide as completions of with respect to equivalent norms.
Let us now deduce Theorem 5 for arbitrary from the Sobolev case just treated. Choose integers and such that and , and define the interpolation parameter by (25). Applying the interpolation with the parameter to the Fredholm bounded operators
we obtain the Fredholm bounded operator
by Proposition 3. According to Propositions 1, 2 and 4, this operator acts between the spaces and . It extends the mapping (21) by continuity because the set is dense in . Owing to Proposition 3, the kernel and index of this operator coincide with the common kernel and the index of the operators (41). In addition, the range of (42) equals
We have proved all the properties of the operator (22) stated in Theorem 5. □
7. Applications
We will apply Theorem 3 to obtain new sufficient conditions under which components of generalized solutions to the elliptic problem (1), (2) have continuous classical derivatives of a prescribed order. To this end, we also use the following result:
Proposition 5.
Let , , and . Suppose that U is an open nonempty subset of . Then
This proposition follows from Hörmander’s embedding theorem (Theorem 2.2.7, [44]) as is shown in (Lemma 2, [53]). The case of is possible here. As usual, denotes the space of all l times continuously differentiable functions on a given set.
Suppose that the sets and are the same as those in Theorem 3.
Theorem 6.
Let . Assume that a vector satisfies the hypothesis of Theorem 3 for a certain parameter such that and
Then .
Proof.
Choose a point arbitrarily, and take a function such that and that in a neighbourhood of x (in the topology on ). The inclusion holds true by Theorem 3. Let be a certain extension of . It follows from (43) by Proposition 5, that . Hence, , which implies that due to the arbitrariness of . □
Theorem 7.
Let , , and . Assume that a vector satisfies the hypothesis of Theorem 3 for a certain parameter such that and
Then .
Proof.
Choose a point arbitrarily, and take a function such that and that in a neighbourhood of x (in the topology on ). By Theorem 3, we have the inclusion . Let and , with , be the same as those in the definition of given in Section 3. It follows from (44) by Proposition 5 that
for every . Hence, the distribution belongs to . Thus, , which implies the inclusion in view of the arbitrariness of . □
Remark 1.
Proof.
Let us show that . Assume that (45) is true. Let be an open ball in satisfying . We arbitrarily choose a distribution such that . We form the vector letting u denote the restriction of w to and putting . This vector satisfies the premise of the implication (45). Hence, , which implies that . Thus, satisfies (43) due to Proposition 5.
Let us prove that . Assume that (46) is true. Let , with , be an -atlas on such that . Let U be an open ball of radius 1 in . We arbitrarily choose a distribution such that . We form the vector putting , and whenever ; here denotes the extension of the distribution by zero from to . This vector satisfies the premise of the implication (46). Hence, , which implies that . Thus, satisfies (44) due to Proposition 5. □
Using Theorems 6 and 7, we will deduce the following sufficient condition under which a generalized solution to the elliptic problem (1), (2) is classical, i.e., for certain , and for each . Here,
(Note that, providing , the condition is equivalent to .) If the solution is classical, the left-hand sides of the problem (1), (2) are calculated with the help of classical derivatives and are continuous functions on and respectively.
Theorem 8.
Suppose that a vector is a generalized solution to the elliptic problem (1), (2) whose right-hand sides satisfy the conditions
and
for certain and some parameters such that , ,
Then the solution is classical.
Proof of Theorem 8
Some versions of Theorems 6–8 were proved in (Section 5 and 6, [40]) in the case where the function varies regularly at infinity and when . If and if the function satisfies the stronger condition , these theorems were proved in (Section 7, [39]).
8. Concluding Remarks
The results obtained in this paper form a core of a solvability theory for elliptic problems that have additional unknowns in boundary conditions and are considered in generalized Sobolev spaces. The use of OR-varying function parameters as orders of regularity of distribution spaces allows obtaining more precise results than those received in the framework of classical Sobolev spaces, whose orders of regularity are given by power functions only. This is demonstrated by applications given in Section 7. For example, analyzing Theorem 6, we see that, if the regularity order takes the form for some , then (43) is equivalent to . The latter condition cannot be weakened in the framework of Sobolev spaces. However, using generalized Sobolev spaces, we find, e.g., that the function satisfies (43).
The choice of the function class OR as a set of regularity orders for generalized Sobolev spaces allows using the interpolation technique in our proofs, which facilitates them essentially as compared with proofs based on the Fourier transform approach and theory of pseudodifferential operators. This class seems the broadest one in order that generalized Sobolev spaces be well defined on smooth manifolds. It contains some functions that have not a definite order at infinity (i.e., their lower and upper Matuszewska indices are different). This circumstance specifically complicates the proof of Theorem 3 as compared with the case of power function or regularly varying functions (see, e.g., (Section 5, [5])). Our proof of Theorem 5 involves special Roitberg’s spaces, which allows treating rough boundary data (of arbitrarily low regularity).
It is possible to show that the Fredholm property of the operator (14) will remain valid if the boundary and coefficients of PDOs involved in the elliptic problem be of some finite smoothness and if a certain condition is imposed on the upper Matuszewska index of the regularity order (compare with (Section 4.4.5, [28]) and (Theorem 4.1.5, [34]) in the case of Sobolev spaces). This may be a subject of another article.
Our approach is applicable to elliptic problems for systems of differential equations, pseudodifferential elliptic problems, and parameter-elliptic problems. It can be extended to generalized -Sobolev, Besov, and Triebel–Lizorkin spaces by using various methods of interpolation with function parameter between normed spaces, as indicated in (Section 1.3.3, [58]), (Section 4.2, [59]), and (Sections 3 and 6, [60]).
Author Contributions
Conceptualization, A.M.; Investigation, A.A., I.C., A.M.; writing—original draft preparation, A.A., I.C.; writing—review and editing, A.M. All authors have read and agreed to the published version of the manuscript.
Funding
The research was funded by the National Academy of Sciences of Ukraine within the project 0120U100169. The authors was also supported by the European Union’s Horizon 2020 research and innovation programme under the Marie Skłodowska-Curie grant agreement No 873071 (SOMPATY: Spectral Optimization: From Mathematics to Physics and Advanced Technology).
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
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