1. Introduction
Recently, mathematicians’ interest in third-order partial differential equations has increased due to the fact that such equations model many real-world phenomena. For example, models of the transmission of electric lines and quantum hydrodynamic models are described by third-order partial differential equations. In papers [
1,
2], for example, nonlocal boundary value problems for third-order partial differential equations were studied, and in [
3,
4,
5,
6,
7,
8], the properties of solutions to linearized Korteweg–de Vries equations were studied. In [
9], the question of the existence and uniqueness of solutions to the Goursat–Dirichlet problem was studied. Note that, in these papers, for third-order partial differential equations, questions about the existence and smoothness of solutions without degeneracy are studied. However, in such applications, it is often necessary to deal with such cases when the differential operator degenerates, i.e., at some points, the order of the differential operator changes [
10,
11]. As is known, in this case, at the points where the operator changes the order, the functions from the domain of the operator’s definition do not retain their smoothness (solutions of the equation). Therefore, various difficulties arise, which, in turn, affect the spectral characteristics of the operator.
The paper considers the following degenerate third-order differential operator:
This was initially defined for
, where
,
.
is a set consisting of infinitely differentiable functions and satisfying the following conditions:
Further, we assume that the coefficients satisfy the following conditions:
(i) is a piecewise continuous function in and ;
(ii) and are continuous functions in .
It is easy to see that the operator
defined by equality (
1) and boundary conditions (
2) and (
3); closure occurs in
and closure is also denoted by
.
The above operator degenerates along the line , i.e., at these points, the operator changes the order. Consequently, functions from the domain of the operator definition do not retain their smoothness, and these difficulties affect the spectral characteristics of the operator.
In this paper, for the operator , the following issues will be researched:
- -
The existence of a resolvent;
- -
Spectral characteristics, i.e., estimates of singular values (s-numbers) and eigenvalues.
Using
, we denote the Sobolev space with the norm
where
is a norm in
.
2. Main Results
Theorem 1. Let the coefficients of operator L satisfying conditions (i)–(ii) be fulfilled. Then:
- (a)
for operator , for , there is a bounded inverse operator in the Hilbert space ;
- (b)
holds for any , where is the domain of operator L and is a constant;
- (c)
the resolvent of operator L is compact in .
Definition 1 ([
12]).
Let be the collection of all finite-dimensional operators of dimension and let A be a linear completely continuous operator; then, the numbersare called the approximation numbers of the operator A. Here, is the norm of the operator from to . Theorem 2. Let the coefficients of the operator L satisfy conditions (i)–(ii). Then, for the approximation numbers (s-numbers) and resolvents of operator L, the estimateholds; here, and are constant numbers. Theorem 3. Let the coefficients of operator L satisfy the conditions of Theorem 2 and ensure that the spectrum of is not empty. Then, for the eigenvalues of the operator the estimateholds; here, does not depend on k. Example 1. In space , consider the operator defined by the equalityand boundary conditions (2) and (3). It is easy to see that the coefficients of the operator satisfy all the conditions of Theorems 1–3; therefore, for , there is a continuous inverse operator in the space and for the eigenvalues of operator , the estimateholds, where is independent of k (). Now, consider the case without degeneracy.
Example 2. Let the coefficients of Equation (1) be constant, i.e., , , , . In the space , consider the operator defined by the equalityand the boundary conditions (2) and (3). Since the coefficients of the operator are constant, using direct calculation, we will make sure that the domain of definition of the operator L coincides with the space . is the space of functions obtained by completing the set of functions satisfying conditions (2) and (3), relative to the norm: It is easy to verify that , is a Sobolev space.
Now, using the approximation properties of the space and repeating the calculations and reasoning that were used in the proof of Theorems 2 and 3 of this paper, we obtain the following:From estimates (7) and (8), it follows that degeneration significantly affects the estimates of the eigenvalues. 3. The Existence of the Resolvent Proof of Theorem 1
Lemma 1. Let us assume that satisfy conditions (i)–(ii). Then, the inequalityholds for any . Proof. Let us consider the scalar product
,
. Integrating by parts and taking into account that the outside integral terms disappear using force
, we obtain the estimate (
9). Due to the continuity of the norm, the estimate (
9) is true for all
. Lemma 1 is proved. □
Through direct calculation, we will make sure that the operator
in
, using the Fourier method, is reduced to the study of the following operator:
With the boundary condition
, where
,
is a set consisting of infinitely differentiable functions.
It is easy to verify that the operator admits closure in , which we will also denote by .
Lemma 2. Let us assume that the coefficients of operator L satisfy conditions (i)–(ii). Then, the estimateholds for any . Proof. Let
; then, the estimate
holds.
From inequality (
11), taking into account condition (i) and using the properties of complex numbers, we have:
Hence, using the Cauchy inequality, and also taking into account condition (i), we find
From the last inequality, due to the continuity of the norm, the last estimate is true for all
. Lemma 2 is proved. □
Lemma 3. Let the coefficients of the operator L satisfy the conditions of Lemma 2. Then, there is a bounded inverse operator in the space .
Proof. Lemma 3 is proved in the same way as Lemma 2.3 of [
13] and Lemma 2.2 of [
14]. □
Lemma 4. Let us assume that the conditions of Lemma 1 are satisfied. Then, the following inequalities hold: Proof. From estimate (
10), we have
Inequality (
13) is proved.
From Equality (
11) and using the properties of complex numbers, we find
By virtue of conditions (i)–(ii), we note that functions
and
do not change signs.
Therefore, from the last inequality, we can obtain
Hence, and given that
, we have
From inequality (
16), and according to the definition of the operator norm, we obtain
Inequality (
14) is proved.
From inequality (
12), using inequality (
10), we have
Hence, and according to the definition of the operator norm, we find
Inequality (
15) is proved. Lemma 4 is proved. □
Proof of Theorem 1. First, let us prove point (a) of Theorem 1. Lemma 3 implies that
is a solution to Problem (
18)–(
20):
here,
,
,
.
From Lemma 1, and given the fundamentality of the sequence
, we have
Hence, and by virtue of the completeness of the space
, we find
Now, using the equalities (
18) and (
21) we can obtain that, for any
,
is a strong solution to the following problem:
Definition 2. Let us call function a strong solution to problem (23) if there is a sequence , such that Hence, it is not difficult to verify that formula (
22) is the inverse operator to the closed operator
. According to Lemma 1 and equality (
23), we can obtain that point a) of Theorem 1 holds for all
. Point a) of Theorem 1 is proved.
Now, we prove the inequality (
4) of Theorem 1 From (
22), we have
where it is easy to see that, by virtue of the orthonormality of the system
, it follows that
Hence, and from the estimate (
13), we can obtain
It follows from the last estimate that
Here,
,
.
Now, calculate the norm
:
From the last estimate and (
14), we find
Here,
. From here
Similarly, using the estimate (
15), we have
From here,
where
.
From inequalities (
24)–(
26), we finally obtain
where
.
From the last inequality, we find
here,
is a norm of
.
We prove point (c) of Theorem 1.
From point (a) of Theorem 1, it follows that operator
has a continuous inverse operator
, and from inequality (
4) of Theorem 1, it follows that the domain of values of operator
belongs to
. As you know, the space
is compactly embedded in
. It follows that operator
is completely continuous in
. Theorem 1 is proved. □
4. Proof of Theorems 2 and 3
To study the singular numbers of operator , we need the following lemmas.
We introduce the following sets:
Here,
is a constant number independent of
.
Lemma 5. Let us assume that the coefficients of operator L satisfy the conditions (i)–(ii). Then, the following relation is true: Proof. Let
. Then, the following inequalities are true:
Suppose that
; then, from the last inequality, we have:
where
.
From (
27) and considering that
, we have
It follows from the last inequality that , i.e., . The left inclusion is proved.
Now, let us prove the right inclusion. Let
; this means that
. Therefore, by virtue of inequality (
4) of Theorem 1, we find
where
.
Hence, given that
, we have
It follows from the last inequality that
, i.e.,
. The right inclusion is proved. Lemma 5 is proved. □
Definition 3 ([
12]).
The magnitudeis called the Kolmogorov k-widths (diameters) of the set M in space , where is the set of all subspaces in whose dimensions do not exceed k. The following properties of the widths follow directly from Definition 3
- (1)
;
- (2)
, ,
where is the widths (diameters) of the set ; is the widths (diameters) of the set M.
- (3)
, , .
Lemma 6. Let the conditions of Lemma 5 be satisfied. Then, the estimateholds; here, is a constant number; are the widths (diameters) of sets , and M, , respectively. Proof. It is not difficult to verify that the proved Lemma 6 follows from the properties of (1)–(3) widths. □
Lemma 7. Let the coefficients of operator L satisfy the conditions (i)–(ii). Then, the estimateshold; here is any constant number, is s numbers of the operator , and , are the k widths (diameters) of the sets M, , and . Proof. From estimate (
28) and considering equality
[
12], we obtain a proof of Lemma 7. □
Let us introduce the following functions:
is the number of greater than ;
is the number of greater than ;
is the number of greater than .
Lemma 8. Let the conditions of Lemma 7 be fulfilled. Then, the inequality is true Proof. Using Lemma 7, we find [
14] (Lemma 4.4):
Lemma 8 is proved. □
Proof of Theorem 2. It is easy to verify that
,
, where
, and
are Sobolev spaces. Hence, according to the results of [
15,
16,
17], for the functions
,
the estimates
hold, where
,
C is independent of
.
Now, let
; when
,
and from (
30), it follows that
From here,
Similarly, from (
31) we have
Now, using Lemma 7 from (
32) and (
33), we obtain that
Estimate (
5) is proved, i.e., Theorem 2 is proved. □
Proof of Theorem 3. According to point (c) of Theorem 1, the operator
is completely continuous. As is known, for completely continuous operators, the Weyl’s inequality [
12]:
holds, where
A is a completely continuous operator,
are eigenvalues numbered in non-increasing order of absolute values, and
are singular numbers arranged in non-increasing order.
From (
34) and (
35), we have
Next, using the inequality
, we find
From here, we finally have
Estimate (
6) is proved, i.e., Theorem 3 is proved. □
5. Conclusions
In conclusion, here are a few words about the obtained results:
- -
The existence of the inverse operator was proved for a class of degenerate third-order partial differential operators;
- -
The coercivity estimate was obtained;
- -
The compactness of the resolvent was proved;
- -
Two-sided estimates of approximation numbers were obtained;
- -
Upper estimates for the eigenvalues were obtained.
As is known, third-order partial differential equations are one of the basic equations of wave theory, as well as some macroscopic models of semiconductors that consider quantum effects, for example, models of the transmission of electric lines. Quantum hydrodynamic models are described by third-order partial differential Equations (
1)–(
3), (
7) and (
8). In this regard, there is a need to study the spectral and approximation properties of third-order differential operators. The results and methods used in this paper allowed us to study the following aspects of a linearized Korteweg–de Vries operator with variable unbounded coefficients at infinity:
- -
The existence of an inverse operator;
- -
The compactness of a resolvent;
- -
Estimation of approximation numbers and eigenvalues.
Here, we note that finding estimates of approximation numbers, as well as emergency subspaces, for a set of solutions to the equation is certainly an important problem from both a theoretical and a practical point of view.
Author Contributions
Conceptualization, M.M. and A.S.; methodology, M.M.; validation, A.S. and M.B.; formal analysis, A.S.; investigation, M.M.; resources, M.M. and A.S.; writing—original draft preparation, M.M.; writing—review and editing, A.S.; visualization, M.B.; supervision, M.M.; project administration, M.M.; funding acquisition, M.M. All authors have read and agreed to the published version of the manuscript.
Funding
This research was funded by the grant AP19676466 of the Ministry of Science and High Education of the Republic of Kazakhstan.
Data Availability Statement
Data are contained within the article.
Conflicts of Interest
The authors declare no conflicts of interest.
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