Dependence of Solutions and Eigenvalues of Third Order Linear Measure Differential Equations on Measures
Yixuan Liu, Guoliang Shi, Jun Yan

TL;DR
This paper studies how solutions and eigenvalues of a third order linear measure differential equation depend on measure coefficients, proving continuity and differentiability of eigenvalues with respect to these coefficients.
Contribution
It establishes the continuity and Fréchet differentiability of eigenvalues of the measure differential equation in relation to the coefficients p and q.
Findings
Eigenvalues are continuous in p, q under total variation and weak* topologies.
Eigenvalues are Fréchet differentiable in p, q with the total variation norm.
Solutions depend continuously on coefficients p, q under various topologies.
Abstract
This paper deals with a complex third order linear measure differential equation \begin{equation*} i\mathrm{d}\left( y^{\prime }\right) ^{\bullet }+2iq\left( x\right) y^{\prime }\mathrm{d}x+y\left( i\mathrm{d}q\left( x\right) +\mathrm{d}p\left( x\right) \right) = \lambda y\mathrm{d}x \end{equation*} on a bounded interval with boundary conditions presenting a mixed aspect of the Dirichlet and the periodic problems. The dependence of eigenvalues on the coefficients , is investigated. We prove that the -th eigenvalue is continuous in , when the norm topology of total variation and the weak topology are considered. Moreover, the Fr\'{e}chet differentiability of the -th eigenvalue in , with the norm topology of total variation is also considered. To deduce these conclusions, we investigate the dependence of solutions of the above equation on the coefficients…
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Taxonomy
TopicsAdvanced Mathematical Modeling in Engineering · Nonlinear Differential Equations Analysis · Numerical methods for differential equations
Dependence of Solutions and Eigenvalues of Third Order Linear Measure Differential Equations on Measures
Yixuan Liu1, Guoliang Shi1, Jun Yan1 Corresponding author.
Abstract
This paper deals with a complex third order linear measure differential equation
[TABLE]
on a bounded interval with boundary conditions presenting a mixed aspect of the Dirichlet and the periodic problems. The dependence of eigenvalues on the coefficients , is investigated. We prove that the -th eigenvalue is continuous in , when the norm topology of total variation and the weak∗ topology are considered. Moreover, the Fréchet differentiability of the -th eigenvalue in , with the norm topology of total variation is also considered. To deduce these conclusions, we investigate the dependence of solutions of the above equation on the coefficients , with different topologies and establish the counting lemma of eigenvalues according to the estimates of solutions.
Mathematics Subject Classification (2010): 34A12; 34L40; 58C07
Keywords: Measure differential equation; Third order; Continuity; Eigenvalue
1 School of Mathematics, Tianjin University, Tianjin, 300354, People’s Republic of China
E-mail: [email protected], [email protected], [email protected]
1 Introduction
In this paper, we consider the measure differential equation
[TABLE]
with the boundary conditions
[TABLE]
or the boundary conditions
[TABLE]
where , and is a parameter in . Here, denotes the space of real-valued measures on , which is the same as the dual space of the Banach space of continuous functions. The notation stands for the classical derivative of , and represents the generalized right-derivative of which will be defined precisely later (see Corollary 2.8 (ii)).
Let , , and then the equation (1.1) is equivalent to the following system
[TABLE]
where . Therefore, using the facts of Lebesgue-Stieltjes integral, the solution of (1.1) with initial conditions
[TABLE]
is defined in Definition 2.6. The imaginary unit in (1.1) indicates the solutions of this equation are usually complex-valued, even if ; it is the reason why we call (1.1) a complex third order linear measure differential equation. It will be proved that the boundary value problem (1.1)-, , admits a real increasing sequence of eigenvalues
[TABLE]
where (see Lemma 4.2) and the geometric multiplicity of each eigenvalue , , is at most two (see Lemma 4.3).
Measure differential equations enable us to treat in a unified way both continuous and discrete systems, which have attracted tremendous interest in the last decades. The researches on second and fourth order measure differential equations can be found in papers [1, 2, 3, 4, 5, 6, 7, 8, 9] and the references therein. In contrast, third order measure differential equations have not yet been studied in the literature, and it is precisely the purpose of this paper to investigate the solutions and eigenvalues of the boundary value problems (1.1)-(BC)ξ, .
Note that in the special case , the equation (1.1) reduces to the standard one
[TABLE]
where
[TABLE]
We emphasize that the operator occurs in the inverse problem method of integration for the nonlinear evolution Boussinesq equation (see [10] for more considerations):
[TABLE]
Namely, (1.5) is equivalent to the Lax equation , where , and denotes the derivative of with respect to . Recently, the operator has attracted considerable attention (see [11, 12, 13, 14] and the references therein). In particular, for , , Amour L [11] investigated the direct and inverse problems of operators on with the boundary conditions , ; the author discussed the multiplicities of eigenvalues, and then gave the estimates of solutions to deduce the counting lemma and estimates of the eigenvalues. In this paper, we first aim to generalize some results in [11] to the third order measure differential equation (1.1). More precisely, we show the estimates of solutions (see Theorem 3.8) of the equation (1.1), and then deduce the counting lemma (see Theorem 4.6) to illustrate the distribution, indexation and estimates (see Corollary 4.7) of eigenvalues, which is the first step towards the solution of the related inverse problem. On the basis of these results, we can characterize the dependence of the -th eigenvalue on the coefficients , as follows, which is the main result of this paper.
Theorem 1.1
Suppose .
* For any fixed , , the eigenvalue is continuous in .*
* For any fixed , , the eigenvalue is continuous in .*
Here, the symbol denotes the measure space with the weak*∗* topology whose definition can be found in Section 2, and we use to denote the measure space with -topology. Note that Theorem 1.1 indicates the eigenvalue is also continuous in , since the -topology is weaker than the -topology. In the rest of this work, we use
[TABLE]
to denote the normalized eigenfunction corresponding to the simple eigenvalue , . As a consequence of Theorem 1.1, the Fréchet differentiability of eigenvalues with respect to , can be obtained.
Theorem 1.2
* Fix and consider the eigenvalue , as a function of . Then for any , there exists an integer such that , , is continuously Fréchet differentiable at and its Fréchet derivative is given by*
[TABLE]
where is continuous on , .
* Fix and consider the eigenvalue , as a function of . Then for any , there exists an integer such that , , is continuously Fréchet differentiable at and its Fréchet derivative is given by*
[TABLE]
where the operation is defined by .
It is worth mentioning that in [4], Meng G and Zhang M considered the second order measure differential equation
[TABLE]
with Neumann or Dirichlet boundary conditions, and investigated the dependence of eigenvalues on the measures with different topologies. Theorem 1.1 and Theorem 1.2 generalize the main results (Theorem 1.3 and Theorem 1.4) in [4]. Unfortunately, it seems to the authors that the approach in [4] cannot apply to this paper directly because of the major differences between the third order measure differential equation (1.1) and the second order measure differential equation (1.6). For example, the solutions of (1.1) are complex-valued and there exists the possibility of non-simple eigenvalues due to the coupled boundary conditions (BC)ξ, . Additionally, the eigenvalues of the boundary value problems (1.1)-(BC)ξ, are unbounded below and above. Nevertheless, we will propose a way to overcome these problems. In order to undertake the proofs, the dependence of solutions of (1.1) on the measures , with different topologies (see Proposition 3.1, Remark 3.3 and Proposition 3.5) and the counting lemma (see Theorem 4.6) are very crucial. It is also worth noting that the dependence of eigenvalues on the coefficients , is of interest not only theoretically but also numerically. For classical Sturm-Liouville problems, Kong Q and Zettl A found that the numerical computation of the eigenvalue is based on the dependence of eigenvalues on the coefficients (see [15] and the references therein).
This paper is organized as follows. In Section 2, we introduce some basic definitions and useful properties of measures, Lebesgue-Stieltjes integral, and weak*∗* topology; the existence and uniqueness of solutions are also given. Section 3 investigates the dependence of solutions on the measures , with different topologies. Besides, we investigate the estimates of solutions and the analytic dependence of solutions on the spectral parameter . Finally, Section 4 provides the counting lemma to explain the distribution and asymptotic formulas of eigenvalues; the proof of the dependence of the -th eigenvalue on the measures , with different topologies is also given.
2 Preliminaries
2.1 Measures, Lebesgue-Stieltjes Integral and Weak*∗*
Topology
In this subsection, we briefly review some basic facts of measures, different topologies of the measure space, Lebesgue-Stieltjes integral, and Riemann-Stieltjes integral. The detailed theory can be founded in [16, 17, 18].
Let and or . Recall that . Then the space of (non-normalized) -value measures of is defined as
[TABLE]
where
[TABLE]
is the total variation of over and for any , denotes the right-limit. Note that is a Banach space with the norm . The total variation of over any subinterval (closed, open or semi open) is also well-defined. For example, if , the total variation is
[TABLE]
For any , , thus we obtain that for each ,
[TABLE]
The space of (normalized) -valued measures is
[TABLE]
and the normalization condition for is . Hence, is possible and . The topology induced by the norm is called the strong topology (-topology) of . According to the Riesz representation theorem, is identical to the dual space of the Banach space , where is continuous on , .
In fact, any defines by
[TABLE]
which refers to the Riemann-Stieltjes integral. Moreover, one has
[TABLE]
From the duality relation (2.1), we define the following weak*∗* topology of .
Definition 2.1
For , , we say is weakly∗ convergent to as , if and only if for each ,
[TABLE]
Apparently, the following example illustrates the weak*∗* topology is weaker than -topology.
Example 2.2
For , let
[TABLE]
and
[TABLE]
For any , we have as , i.e., in as . However, for any , .
In [19, 20], another topology induced by the supremum norm is also used for . As for all , one sees that is also weaker than . Moreover, we obtain the following relations for the weak*∗* topology and the topology induced by the norm .
Lemma 2.3
One has
[TABLE]
[TABLE]
Proof. Let , , and , then in . Since , we know the relation (2.2) holds. From Example 2.2, one has holds for , and thus we obtain the relation (2.3).
Given and , for any subinterval , the Lebesgue-Stieltjes integral is also defined. Due to the possible jump of a measure at , one has
[TABLE]
i.e., and may differ. If has the form , , where , or the form , , where , one has the following basic inequality
[TABLE]
For real measures, we have the following lemmas.
Lemma 2.4
For , let
[TABLE]
then we have and
[TABLE]
Proof. See [21, p. 321].
Lemma 2.5
Suppose the sequence converges to in , then there exists a constant such that .
Proof. Due to the fact that weak*∗* convergence implies boundedness, this lemma can be proved.
2.2 Notation, Existence and Uniqueness of Solutions
In the following, we give some basic facts on the solutions of (1.1), where , , . Due to the equivalence between the equation (1.1) and the system (1.2), the solution of (1.1) with initial conditions (1.3) is defined as follows.
Definition 2.6
For , , , , a function is a solution of the initial value problem , if it satisfies that
* , and*
* there exist functions such that*
[TABLE]
The solution is defined via fixed point equations, and we can prove the existence and uniqueness of the solution by many methods, one of which is based on the Kurzweil-Stieltjes integral, see [19].
Proposition 2.7
For each , the initial value problem , has the unique solution on .
Since the solution is continuous differentiable on , one has , . If we use , to denote , , respectively, then we have
[TABLE]
According to the property of Lebesgue integral and Lebesgue-Stieltjes integral, we obtain the following corollary.
Corollary 2.8
* There holds*
[TABLE]
* is the classical derivative of with respect to on , and is the classical right-derivative at any point , i.e.,*
[TABLE]
* Actually, is absolutely continuous on . Hence, the following identity*
[TABLE]
holds for Lebesgue-a.e. .
Proof. The proof is similar to that of [4, Corollary 3.4].
In this paper, we use , , to denote the solutions of (1.1) satisfying the initial conditions
[TABLE]
Denote
[TABLE]
Then due to Proposition 2.7, the solution of the initial value problem (1.1), (1.3) can be denoted by
[TABLE]
Remark 2.9
Since , the equality
[TABLE]
can be deduced by the same methods as those in [4, 22].
Lemma 2.10
The unique solution of the third order inhomogeneous differential equation
[TABLE]
satisfying the initial conditions is given by the variation of constants formula
[TABLE]
Here, is the inverse of .
Proof. See [22].
3 The Properties of Solutions of Measure Differential
Equation
In this section, we investigate the dependence of the solution and its derivatives , on the measures , with different topologies. And then we give estimates of solutions and the analytic dependence of solutions on the spectral parameter when , .
3.1 Dependence of Solutions on Measures ,
Firstly, we discuss the dependence of , , on the measures , , which will be used in the proof of Theorem 1.1. The norm of is defined by .
Proposition 3.1
* For any , the following mappings for the solution of the initial value problem , are continuous,*
[TABLE]
In particular, the following functional is continuous,
[TABLE]
* For any , the following mappings for the solution of the initial value problem , are continuous,*
[TABLE]
Before proving this proposition, we introduce some notations and a useful lemma as follows.
Assume that the sequence converges to in . Let
[TABLE]
We define functions by
[TABLE]
then we obtain , , . For any , , , using the integration by parts formula for (2.10) and the fact , we obtain
[TABLE]
where . Therefore, we have
[TABLE]
Substitution of (3.9) into (2.7) yields
[TABLE]
Exchanging the order of integration in the double integral, we find
[TABLE]
Substituting (3.10) into (2.6) and exchanging the order of integration in the double integral yield
[TABLE]
where . Denote
[TABLE]
Then a function is a solution of the initial value problem (1.1), (1.3), if and only if it satisfies
[TABLE]
Lemma 3.2
For any , , the sequence is relatively compact in .
Proof. The proof of this lemma consists of three steps.
Step 1. We need to verify that the sequence is uniformly bounded.
Since the sequence converges to in , it follows from Lemma 2.5 that
[TABLE]
According to the integral equations (2.6), (2.7) and the definitions of , and , one has
[TABLE]
From (3.9), we find
[TABLE]
Hence,
[TABLE]
where , and . Obviously, is non-decreasing in . By substituting (3.14) and (3.15) into (3.13), we have
[TABLE]
where . Thus,
[TABLE]
Then the Gronwall inequality together with the fact shows that , where . Hence, .
Step 2. Our task now is to prove the sequence is relatively compact in .
The equation (3.12) leads to
[TABLE]
where . For any , the following identity is obtained from (3.16),
[TABLE]
where . Hence, is equicontinuous. From Arzelà-Ascoli theorem, there exists a subsequence of such that converges uniformly to a continuous function .
Step 3. We have to show that the sequence is relatively compact in .
For each , is continuously differentiable, and . With , substitution of (3.15) into (3.14) yields
[TABLE]
where . Therefore, , i.e., the sequence is uniformly bounded. The following identity is obtained from (3.16),
[TABLE]
For any , one has
[TABLE]
where . Hence, is equicontinuous. According to Arzelà-Ascoli theorem, there exists a subsequence of such that is uniformly convergent to a continuous function . Therefore, is continuously differentiable, and
[TABLE]
This implies that the sequence is relatively compact in .
Now we turn to prove Proposition 3.1.
Proof of Proposition 3.1. For any subsequence of , it follows from Lemma 3.2 that there is a sub-subsequence such that
[TABLE]
for some . Let
[TABLE]
where . From (3.17), one has
[TABLE]
From (3.18), it yields
[TABLE]
For any fixed , . Since in , for , one has as . Therefore,
[TABLE]
From the equality (3.16), the uniform convergence in (3.18) and the pointwise convergence in (3.20), we have
[TABLE]
Then it follows from (3.12) that . Since the limit is independent of the choice of , it yields that in , i.e.,
[TABLE]
this proves the continuity in (3.1), and
[TABLE]
Next, for , and , , from [22, p. 260, Theorem G], we get the equality
[TABLE]
Then for and we obtain
[TABLE]
where , . When we obtain
[TABLE]
i.e., in . This proves the continuity in (3.2).
Let , then from (3.1) and
[TABLE]
it yields . Since holds for all , we obtain that . This proves the continuity result in (3.3).
Suppose the sequence converges to in . For , let , then following the same procedure as in the proof of Lemma 3.2, we can prove that is relatively compact in the space . For any subsequence of , we select a sub-subsequence such that
[TABLE]
for some . Denote
[TABLE]
where , . Then
[TABLE]
Here, using the integration by parts formula and the fact , we have
[TABLE]
Note that for any fixed , and are continuous functions of . Thus, from (3.22) and the fact in , it yields
[TABLE]
i.e.,
[TABLE]
Then Proposition 3.1 can be proved by an argument similar to the one used in Proposition 3.1 .
Remark 3.3
It should be mentioned that the continuity in and hold uniformly for , where is any bounded subset of . Let . Note that the proofs of Lemma 3.2 and Proposition 3.1 go through if we replace in the definition of , and by . This implies that the relatively compactness of the sequences , hold uniformly on , and then we acquire the uniform continuity in and for .
We now construct an example to illustrate the continuity result in (3.3) cannot be generalized to other .
Example 3.4
Suppose , and . For , let
[TABLE]
then in , where
[TABLE]
A simple calculation gives
[TABLE]
but
[TABLE]
Proposition 3.5
* Let be any bounded subset of , then the following mappings are uniformly continuous for ,*
[TABLE]
More precisely, for any , and , there is a such that if , one has
[TABLE]
hold uniformly for and .
* The following mappings are uniformly continuous for ,*
[TABLE]
That is to say, for any , and , there is a such that if , the inequalities 3.24-3.26 hold uniformly for and .
Proof. Suppose the sequence converges to in , and the sequence converges to in , then there are constants , such that
[TABLE]
Due to the equations (2.6)-(2.10), , and , we have
[TABLE]
Let
[TABLE]
and
[TABLE]
According to (3.27), there exists a constant such that
[TABLE]
holds uniformly for . Then from the proof of [19, Theorem 4.1], we can prove .
Using the fact that for all , we can prove the statement in .
Note that Proposition 3.1 illustrates the dependence of , and on , . Next, we prove that , and are continuous Fréchet differentiable in , , respectively. And then we deduce the Fréchet derivatives correspondingly. We first introduce the definition of Fréchet derivative and some notations which will be used in Proposition 3.7.
Definition 3.6
A map from a Banach space into a Banach space , , is differentiable at a point if there exists a bounded linear map such that
[TABLE]
Here, the map is called the Fréchet derivative of at .
For , , let
[TABLE]
Here, for , , and denote the Fréchet derivatives of , at , respectively. Similarly, for , , and denote the Fréchet derivatives of , at , respectively.
Proposition 3.7
* Let , , and be fixed. Then , and are continuously Fréchet differentiable in . Moreover, for , ,*
[TABLE]
* Let , , and be fixed. Then , and are continuously Fréchet differentiable in . Moreover, for , ,*
[TABLE]
Proof. Denote and , then from (1.1), we have
[TABLE]
Let , then satisfies
[TABLE]
From Lemma 2.10, it yields
[TABLE]
Then according to Proposition 3.5 and the fact that , , , are bounded on , we can obtain
[TABLE]
Thus, the differentiability of , and in can be proved, and their derivatives are also obtained. Similarly, we can prove that , , , are differentiable in , and thus the equality is obtained.
Proceeding as in the proof of Proposition 3.7 , we can prove Proposition 3.7 .
We remark that for the derivatives of solutions of ordinary differential equations with respect to the coefficients, formulas like (3.32)-(LABEL:dq) can be found in [12, 24, 25, 26].
3.2 The Asymptotic Formulae and Analyticity of Solutions
Now we deduce the estimates of solutions and the analytic dependence of solutions on the spectral parameter when , , . Recall the definition in Lemma 2.4 and denote , , then , .
Theorem 3.8
Let
[TABLE]
For , , we have
[TABLE]
Note that, when , the equation (1.1) reduces to
[TABLE]
In order to prove Theorem 3.8, we need some properties of the solutions of (3.47), which can be found in [11, Lemma 2.1-2.3].
The fundamental solutions of are
[TABLE]
[TABLE]
For we have
[TABLE]
According to the identities
[TABLE]
we acquire
[TABLE]
Proof of Theorem 3.8. Recall the definition of , then we have
[TABLE]
and .
Let us rewrite the differential equation (1.1) as an inhomogeneous differential equation
[TABLE]
For , by Lemma 2.10, the fundamental solutions , satisfy the following formula,
[TABLE]
where . Since for , the formula (3.63) is also true for . From (3.63), we see
[TABLE]
Then using a variant of the integration by parts formula for the product of three functions, we have
[TABLE]
where . Following Picard’s iteration we write
[TABLE]
where
[TABLE]
Moreover, for , it is easy to verify that
[TABLE]
From (3.49), we have
[TABLE]
Therefore, in light of (2.4) and (3.48), we have
[TABLE]
and thus
[TABLE]
Note that
[TABLE]
then proceeding as in the proof of the inequality (3.45), we obtain the inequality (3.46).
Remark 3.9
In fact, it is straightforward to show that the series in converges uniformly for , , and , where is any bounded subset of , , , , . When , , Amour L gave the similar estimates for fundamental solutions of the equation in [11, Theorem 2.4-2.5].
Lemma 3.10
For , , we have
[TABLE]
are entire functions of .
Proof. The proof is similar to that of [11, Theorem 2.6].
4 Eigenvalue of Measure Differential Equation
This section is devoted to study the eigenvalues of the boundary value problems (1.1)-, with coefficients , .
4.1 The Distribution of Eigenvalues
In this subsection, we investigate the counting lemma (see Theorem 4.6) for the boundary value problems (1.1)-, , which implies the distribution and estimates of eigenvalues. Firstly, we give some notations and basic lemmas.
Definition 4.1
For , , a complex number is called an eigenvalue of the boundary value problem - if the equation with such a parameter has a nontrivial solution on satisfying the boundary conditions . The solution is called an eigenfunction of . The number of linearly independent eigenfunctions associated with is called the geometric multiplicity g of . The eigenvalues and eigenfunctions for the boundary value problem - are defined similarly.
Lemma 4.2
For , , all eigenvalues of the boundary value problems -, are real.
Proof. Suppose , , is an eigenvalue of the boundary value problem (1.1)-, then the corresponding eigenfunction satisfies
[TABLE]
and
[TABLE]
Here, denotes the conjugation of . Multiplying (4.1) by , (4.2) by , and taking the difference, we find
[TABLE]
Hence,
[TABLE]
Using the integration by parts formula, we have
[TABLE]
According to the boundary conditions , , and , we obtain that . Similarly, we can prove that the eigenvalues of the boundary value problem (1.1)- are all real.
Lemma 4.3
Fix , and let
[TABLE]
* For , each eigenvalue of the boundary value problem - is of -multiplicity one or two and it is a root of*
[TABLE]
* For , suppose is an eigenvalue of the boundary value problem -, then the -multiplicity of is two if and only if*
[TABLE]
* Recall the notations in . If , then the eigenvalues of the boundary value problems -, are of -multiplicity one.*
Proof. The proofs of (i) and (ii) are similar to those of [11, Theorem 3.1].
(iii) From (i) and a simple calculation, we infer that
[TABLE]
By the equality
[TABLE]
given by Mckean H P [10, p. 614], we have
[TABLE]
Apparently, is the solution of the equation
[TABLE]
with initial conditions . For each , the following identities
[TABLE]
hold. Since the eigenvalues of the boundary value problems (1.1)-, are real and , we obtain that as a function of , has no zeros in . Hence,
[TABLE]
Then the statement of this lemma follows from the statement of this lemma.
Definition 4.4
For , the order of an eigenvalue as a root of is called the algebraic multiplicity ($$a-multiplicity of .
Lemma 4.5
Denote , , where
[TABLE]
Then for , , there is a constant , which is independent of , and , such that
[TABLE]
Proof. See [24, p. 27].
Now we give the main result of this subsection. We mention that the following result gives an explanation of the indexation of the eigenvalue , .
Theorem 4.6
* Suppose .*
* Let be an integer satisfying*
[TABLE]
Then the boundary value problem - has exactly eigenvalues, counted with -multiplicities, in the open -disc
[TABLE]
and exactly one algebraically simple eigenvalue in each open -disc
[TABLE]
for .
* Let be an integer satisfying*
[TABLE]
Then the boundary value problem - has exactly eigenvalues, counted with -multiplicities, in the open -disc
[TABLE]
and exactly one algebraically simple eigenvalue in each open -disc
[TABLE]
for .
Proof. We divide our proof into two steps.
Step1. For each , , , let \left(\begin{array}[]{l}Y_{1}(x,\lambda,p,q)\\ Z_{1}(x,\lambda,p,q)\end{array}\right) denote the solution of the equation
[TABLE]
with the initial conditions
[TABLE]
Here, and are real-valued for . For , , and , a straightforward calculation gives
[TABLE]
According to (4.3)-(4.5), it follows that for ,
[TABLE]
Then by Lemma 4.3 (i), we know that in order to prove Theorem 4.6, it is sufficient to discuss the zeros of and , respectively.
Step 2. In view of Theorem 3.8 and Lemma 3.10, an argument similar to the one used in [27, Appendix] shows that , are entire functions of , and
[TABLE]
hold for . In view of Lemma 4.5 and [11, Lemma 3.5], we get
[TABLE]
According to the inequalities (4.6) and (4.8), it follows that
[TABLE]
holds for satisfying . Now we select an integer satisfying . Then using Rouché theorem, we obtain that and have the same number of zeros in the -discs defined in (i). Since has only the simple zeros , , the statement in follows.
It remains to characterize the distribution of zeros of . Let
[TABLE]
Then from Lemma 4.5, we have
[TABLE]
Therefore, for any satisfying , it is easy to see that
[TABLE]
Now let be an integer satisfying . Then using Rouché theorem, we obtain that and have the same number of zeros in the -discs
[TABLE]
and
[TABLE]
Combining (4.7) and (4.9), we obtain the inequality
[TABLE]
is true for satisfying . Thus for any integer satisfying , using Rouché theorem again, we obtain that and have the same number of zeros in the -discs (4.10) and (4.11). Hence, and have the same number of zeros in the -discs (4.10) and (4.11). Since the zeros of the entire function are , , we obtain the statement in (ii).
As a consequence of Theorem 4.6, the following result gives a rough asymptotic expansion of the eigenvalues of the boundary value problems (1.1)-, .
Corollary 4.7
For , we have
[TABLE]
and
[TABLE]
as .
Proof. The proof is similar to that of [11, Theorem 1.2].
Corollary 4.8
Let
[TABLE]
then the -multiplicity and -multiplicity of each eigenvalue , , , are equal to one.
Proof. In view of Theorem 4.6, we obtain
[TABLE]
and the -multiplicity of each eigenvalue , , , is one. From Lemma 4.3 , we deduce that for any , , the -multiplicity of also equals one.
4.2 Dependence of Eigenvalues on Measures ,
In this subsection, we give the proofs of Theorem 1.1 and Theorem 1.2 announced in the introduction.
Proof of Theorem 1.1. (i) Firstly, we discuss the dependence of the eigenvalues , on the measure . Suppose that the sequence converges to in , then from Lemma 2.5, there exists a constant such that . Let
[TABLE]
For any , it follows from Lemma 3.10 that is an entire function of . For any integer , let
[TABLE]
where is any sufficiently small constant such that the contours , , are disjoint and on . Hence, there exists a constant such that
[TABLE]
On the other hand, in view of Remark 3.3, we deduce that as tends to infinity, the sequence converges to uniformly on . This implies that there exists a constant such that if , one has
[TABLE]
Therefore, combining (4.12) and (4.13), one deduces that for ,
[TABLE]
Then by Rouché theorem, we see that for , and have the same number of zeros inside each contour . Additionally, in view of Theorem 4.6, we obtain that in the -disc , has exactly zeros , , and has exactly zeros , . Hence, we obtain that given any sufficiently small , there exists a constant such that for ,
[TABLE]
Therefore, from the arbitrariness of , we obtain that each eigenvalue is continuous in .
Analogously, we can obtain is continuous in .
(ii) Now we deduce the dependence of the eigenvalues , , on the measure . Suppose that the sequence converges to in , then from Lemma 2.5, there exists a constant such that . Let
[TABLE]
In view of Remark 3.3, we deduce that as tends to infinity, the sequence converges to uniformly on any bounded subset , where
[TABLE]
Then the continuity of each eigenvalue in can be proved by an argument similar to the one used in the proof of (i).
Similarly, we can deduce that each eigenvalue is continuous in .
Remark 4.9
Since the weak∗ topology is weaker than the strong topology induced by the norm , it yields that for any fixed , , the eigenvalue is continuous in , and for any fixed , , the eigenvalue is continuous in .
Finally, we deduce the differentiability of eigenvalues with respect to , .
Proof of Theorem 1.2. (i) For any , let
[TABLE]
Step 1. For , , we first prove that the eigenfunction is continuous in uniformly for , i.e.,
[TABLE]
holds uniformly for . For , , denote
[TABLE]
and
[TABLE]
Then according to the fact
[TABLE]
we obtain
[TABLE]
Moreover, it follows from Corollary 4.8 that the -multiplicity of each eigenvalue , , , is one, then , i.e., at least one entry of the matrix (4.15) is nonzero.
Case 1. Suppose
[TABLE]
and let
[TABLE]
Then it is easy to see that
[TABLE]
Therefore, the eigenfunction corresponding to the eigenvalue , , , is
[TABLE]
According to Remark 4.9, Proposition 3.5 and the fact (4.16), it follows that for each , , there exists a constant such that if , one has . Let
[TABLE]
then
[TABLE]
Therefore, when , , the -multiplicity of , , is one, and the corresponding eigenfunction is
[TABLE]
Additionally, from Proposition 3.5 , one has (4.14) holds in this case.
Case 2. Suppose
[TABLE]
then we can define , as follows:
[TABLE]
It is easy to see that
[TABLE]
Thus the eigenfunction corresponding to the eigenvalue is (4.17), and then using the same argument as in the proof of Case 1, we can prove (4.14) in this case.
Case 3. Suppose
[TABLE]
then we can define , as follows:
[TABLE]
and
[TABLE]
Thus the eigenfunction corresponding to the eigenvalue is (4.17), and then using the same argument as in the proof of Case 1, we can prove (4.14) in this case.
Case 4. Suppose
[TABLE]
then we can define , as follows:
[TABLE]
and
[TABLE]
Thus the eigenfunction corresponding to the eigenvalue is (4.17), and then using the same argument as in the proof of Case 1, we can prove (4.14) in this case.
Step 2. Now we deduce the Fréchet derivatives of the eigenvalues , , at . According to the equation (1.1), it follows that for ,
[TABLE]
Using the integration by parts formula and the boundary conditions (BC)ξ, one can deduce that
[TABLE]
Dividing both sides by , letting , and using the statement in (4.14), one has
[TABLE]
Since , it follows that each , , , is a bounded linear functional of , that is, .
(ii) For , let
[TABLE]
Step 1. For , , using the same argument as in the proof of Theorem 1.2 (i), we can prove that the eigenfunction is continuous in for , i.e.,
[TABLE]
holds uniformly for .
Step 2. Now we deduce the Fréchet derivatives of the eigenvalues , , at . According to the equation (1.1), it follows that for ,
[TABLE]
Using the integration by parts formula, we obtain
[TABLE]
Then according to the fact and the boundary conditions (BC)ξ, we obtain
[TABLE]
Using the fact (4.18) we get
[TABLE]
as in . Consequently,
[TABLE]
as in . Hence,
[TABLE]
It is easy to see that . Hence each , , , is a bounded linear functional of , that is, .
Acknowledgements
The research is supported by the National Natural Science Foundation of China (Grant No. 11601372); the Science and Technology Research Project of Higher Education in Hebei Province (Grant No. QN2017044).
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