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.
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 problem
           - 
          has 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.
With the problem (
1), (
2) under investigation, we associate the linear mapping
      
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 
.
Both the classes (
13) have the same above-mentioned interpolation properties as (
12). We will discuss some of them in 
Section 5.
  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 vectorssuch 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  andwhenever  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. Let a vector  be a generalized solution to the elliptic problem (1), (2) whose right-hand sides satisfy the condition  for a certain parameter  subject to . Then .  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 . Thenwhere 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.
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 vectorssuch 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, andup 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. Thenup 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. Thenwith 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]).
  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. Conditions (43) and (44) are exact in Theorems 6 and 7. Namely, let , , and . Then it follows from the implicationthat η satisfies (43). Let , and suppose that . Then it follows from the implicationthat η satisfies (44)  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 conditionsandfor certain  and some parameters  such that , , Then the solution  is classical.
 Proof of Theorem 8 Putting 
, 
, 
, and 
 in Theorem 6, we conclude that 
 by (
47). In addition, letting 
, 
, 
, and 
 in this theorem, we see that 
 by (
47) and (
48). Finally, putting 
, 
, 
, and 
 in Theorem 7, we conclude by (
47) and (
48) that 
 for each 
. Thus, the solution 
 is classical.    □
 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]).