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]).