Issue |
Wuhan Univ. J. Nat. Sci.
Volume 30, Number 3, June 2025
|
|
---|---|---|
Page(s) | 263 - 268 | |
DOI | https://doi.org/10.1051/wujns/2025303263 | |
Published online | 16 July 2025 |
Mathematics
CLC number: O175.9
Spectral Properties of Dirac Operator with λ-Dependent Boundary Condition
边界条件含有谱参数的Dirac算子的谱性质
College of Mathematics and Statistics, Northwest Normal University, Lanzhou 730070, Gansu, China
† Corresponding author. E-mail: dgf96520@163.com
Received:
28
November
2024
In this study, we mainly discuss some spectral properties of the Dirac operator with eigenparameter-dependent boundary condition. Initially, we reformulate the spectral problem into linear operator eigenparameter problem in a suitable Hilbert space, and obtain some pivotal properties of self-adjoint operator. Subsequently, by establishing the boundary condition space and constructing the embedded mapping, we show that the simple eigenvalue branch of this system is not only continuous, but also smooth. We then obtain the differential expressions of the eigenvalue branch in the sense of Fréchet derivative.
摘要
本文主要研究边界条件含有谱参数的Dirac算子特征值问题的一些谱性质。首先,通过建立适当的Hilbert空间将谱问题转化为线性算子特征值问题,并推导出了自伴算子的一些重要性质。其次,通过建立边界条件空间,构造嵌入映射,证明了Dirac算子的简单特征值分支不仅是连续的,而且是光滑的。最后,在Fréchet导数意义下,我们得到了特征值分支关于所有参数的微分表达式。
Key words: λ-dependent boundary condition / spectral properties / Dirac operator
关键字 : 特征参数依赖边界条件 / 谱性质 / Dirac算子
Cite this article: ZHONG Linlu, DU Gaofeng. Spectral Properties of Dirac Operator with λ-Dependent Boundary Condition[J]. Wuhan Univ J of Nat Sci, 2025, 30(3): 263-268.
Biography: ZHONG Linlu, female, Master candidate, research direction: ordinary differential equations and dynamic systems. E-mail: rqzhong0510@163.com
Foundation item: Supported by the National Natural Science Foundation of China (12461039) and Excellent Graduate Innovation Star Scientific Research Project of Gansu Province of China (2025CXZX-273)
© Wuhan University 2025
This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
0 Introduction
Dirac operators are important models in quantum mechanics. As a result, some conclusions about these operators have been obtained (see Refs. [1-4]). As a typical problem in the spectral theory of differential operators, Dirac operators are closely related to Sturm-Liouville operators, and they have many similarities in the properties and research methods of eigenvalues, see Refs. [5-9]. In particular, in Ref. [10], Li et al studied the continuous dependence of eigenvalue of self-adjoint Dirac system consisting of the symmetric differential operator
where and
is real-valued Lebesgue measurable function on
and
are
complex matrices such that rank
and satisfy
, where
denotes the complex conjugate transpose of
is the second order symplectic matrix. Besides, we are also interested in the spectral analysis of Dirac operator with the spectral parameter in boundary condition, which has a discrete spectrum consisting of an increasing infinite sequence of (real, simple) eigenvalues
such that
as
, see Ref. [11], and some remarkable works have been reached, see Refs. [12-13].
From the above literature, we notice that the research on problems (1)-(2) requires that the boundary conditions satisfy Typically, the eigenparameter is only present in differential equations. Nonetheless, in numerous practical applications, including mechanics and acoustic scattering theory, it is necessary for the spectral parameter to be featured not only within the differential equations but also within the boundary conditions, see Ref. [14]. Recently, inverse spectral problems for Sturm-Liouville operators with non-self-adjoint eigenparameter-dependent boundary conditions have been studied via matrix representations and inverse matrix eigenvalue problems, see Ref. [15]. For the above model the condition
may not be satisfied. Therefore, we hope to get the correlation spectrum properties of this kind of problems. For example, considering the self-adjointness of operators and the continuous dependence of eigenvalues, it is necessary to discuss the eigenvalue problem of a linear operator in a suitable Hilbert space. To address the limitation that these boundary conditions lack self-adjointness, we construct a suitable Banach space and an embedded mapping, and prove the continuity of the embedded mapping. Moreover, based on the definition of Fréchet derivative, we obtain the differentiability of eigenvalue bifurcation.
Our research plan is structured as follows. In Section 1, we introduce a self-adjoint operator eigenvalue problem and elucidate its critical spectral properties from various perspectives. In Section 2 and 3, leveraging the established continuity of the embedded mapping, we demonstrate the differentiability of the eigenvalue branch and present the corresponding derivative formulas.
1 Some Properties
This paper concerns eigenvalue problem of the form
where and every element in
belongs to
is the spectral parameter. Here, we require
to satisfy
and
are real numbers satisfying
and
We first consider a linear operator eigenvalue problem derived from spectral problems (3)-(4). The inner product in the Hilbert space associated with
for Define the operator
acting in
so that
with the domain
Here denotes the set of absolutely continuous and complex-valued functions on
.
By immediate verification, we conclude that the problems (3)-(4) are equivalent to linear operator eigenvalue problem . We now focus on discussing the properties of linear operator
as follows.
Theorem 1
is a self-adjoint operator in
.
Proof In order to prove that the operator is self-adjoint, we first need to prove that the domain of operator
is dense in
. Suppose
and
is orthogonal to
. We will prove
. Since
, for arbitrary
, we have
Since
is dense in
, we have
, so
. For any
, through the inner product in
, we get
Since
is arbitrary, we have
Hence
Secondly, we need to show that the operator is symmetric. Let
. For any
, then
By the boundary condition (4), we have
Consequently, combining (5)-(7), we obtain
which implies that operator is symmetric.
Since is symmetric, it suffices to prove that for any
and some
satisfying
, then
and
, where
. It means that
satisfies following conditions:
(ⅰ)
(ⅱ)
(ⅲ)
(ⅳ) .
Indeed, the above conditions imply that
Step 1 For arbitrary
, there is
. Moreover, we arrive at
Namely, . Since
is symmetric, combined with
, we can obtain
. In view of the classical theory of differential operators, (ⅰ) and (ⅳ) hold.
Step 2 According (ⅳ) and the relation
, we have
In light of
Furthermore, one has
Using Naimark’s patching lemma[16], there exists a such that
Then by (8), we have . Similarly, we get
Moreover, . Therefore, (ⅱ) holds. We can prove (ⅲ) by using the similar method, hence we omit the details. The proof is completed.
Corollary 1 The following assertions are true:
1) The two vector eigenfunctions corresponding to different eigenvalues of
and
are orthogonal in the following sense
2) All eigenvalues of the operator are real, and all vector-eigenfunctions are real-valued.
Theorem 2[11] There exists an unboundedly decreasing sequence of negative eigenvalues and an unboundedly increasing sequence
of nonnegative eigenvalues of the boundary value problems (3)-(4):
Let and
be the fundamental solutions of (3), which satisfy the initial condition
Then, and
are linearly independent and entire functions of
.
Denote
Lemma 1
is an eigenvalue of (3)-(4) if and only if
.
Proof By using similar methods in Ref. [10], we can obtain the assertion holds.
2 Continuous Dependence of Eigenvalues and Eigenfunction
Denote . We introduce Banach space
equipped with the norm
For any , where
denotes the matrix normal. Let’s construct a boundary condition space
={
: the coefficient in (3)-(4), and
hold}. Then
is a closed subset of
and inherits its topology
.
Theorem 3 Let , and
be an eigenvalue of spectral problems (3)-(4). Then for any sufficiently small
, there exists
such that if
, the spectral problems (3)-(4) have exactly one eigenvalue satisfying
Proof It is well known that is eigenvalue of (3)-(4) if and only if Lemma 1 holds. It is obvious that
is not constant with regard to λ since λ is isolated eigenvalue. Furthermore, for any
is an entire function of
. Hence, there exists
such that
for
. By the well known theorem on continuity of the roots of an equation as a function of parameters, see Ref. [17], the assertion holds.
The normalized eigenfunction of spectral problems (3)-(4) is defined as follows:
Theorem 4 Let is an eigenvalue of operator
with
and
is a normalized eigenvector for
. Then there exists a normalized eigenvector
for
with
such that
as both uniformly on
.
Proof We know that is simple. Let
be a normalized eigenvector of operator
. Then in view of inner product in the Hilbert space H, we have
and is the corresponding eigenvalue. Theorem 3 means that there exists
such that
as
.
Denote the boundary conditions matrix as follows
Then as
Besides, there exists
satisfying the
for
and
. Therefore, we obtain
as both uniformly on
. Let
Then the desired assertion holds. The proof is completed.
3 Differentiability of Eigenvalue
In this section, we will prove that the simple eigenvalue branch is differentiable for all parameters and obtain the differential expression for all parameter in the sense of Fréchet derivative.
Definition 1[17] A map from an open set
of the Banach space
into the Banach space
is Fréchet differentiable at a point
if there exists a bounded linear operator
such that in some neighborhood of the
,
Theorem 5 Let be an eigenvalue for the operator
for
and
be a normalized eigenvector of
. Then
is Fréchet differentiable with respect to all parameters in
. Specifically, the derivative formulas of
are given as follows:
Result 1 Fix all components of except the boundary matrix
and let
denote the eigenvalue. Then
for all , where
.
Result 2 Fix all components of except the boundary matrix
and let
denote the eigenvalue. Then
, for all
, where
.
Result 3 Fix all components of except
or
and let
denote the eigenvalue. Then
Result 4 Fix all components of except
, and let
denote the eigenvalue. Then
such that is symmetric and every element in
belong to
.
Proof 1) Let denote the eigenvalue and corresponding normalize eigenvector. Direct computation yields
By (9)-(10) and integration by parts, we obtain
Let
By (4), we have
Using the similar method, we can obtain
Combining (11)-(13), we have
Let , then the desired Result 1 can be obtained by Theorem 4.
2) Using the similar method, we can obtain Result 2.
3) Fix all components of except
(the situation for
is similar). For
denote eigenvalue and corresponding normalized eigenvector. Let
By (9) and (10), we have
By (4), we obtain
Similarly,
Hence
Then the desired Result 3 can be obtained.
4) In the same way, we can obtain Result 4. The proof is completed.
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