Isospectral Dirac operators
Yuri Ashrafyan, Tigran Harutyunyan

TL;DR
This paper characterizes self-adjoint Dirac operators on the interval [0, π] that share identical spectra, providing insights into their spectral properties and classifications.
Contribution
It offers a description of all self-adjoint regular Dirac operators on [0, π] with the same spectrum, advancing spectral theory understanding.
Findings
Characterization of isospectral Dirac operators
Conditions for operators to share spectra
Spectral classification results
Abstract
We give the description of self-adjoint regular Dirac operators, on , with the same spectra.
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Isospectral Dirac operators
Yuri Ashrafyan
Yerevan State University, Alex Manoogian 1, Yerevan, 0025, Armenia
Tigran Harutyunyan111Corresponding author. Email: [email protected]
Yerevan State University, Alex Manoogian 1, Yerevan, 0025, Armenia
Received 30 December 2015, appeared 23 January 2017
Communicated by Miklós Horváth
Abstract. We give the description of self-adjoint regular Dirac operators, on , with the same spectra.
Keywords: inverse spectral theory, Dirac operator, isospectral operators.
2010 Mathematics Subject Classification: 34A55, 34B30, 47E05.
1 Introduction and statement of result
Let and are real-valued, summable on functions, i.e. . By we denote the boundary-value problem for canonical Dirac system (see [6, 7, 10, 14, 15]):
[TABLE]
where
[TABLE]
By the same we also denote a self-adjoint operator generated by differential expression in Hilbert space of two component vector-function on the domain
[TABLE]
where is the set of absolutely continuous functions on (see, e.g. [14, 17]). It is well known (see [2, 6, 10]) that under these conditions the spectra of the operator is purely discrete and consists of simple, real eigenvalues, which we denote by , , to emphasize the dependence of on quantities and . It is also well known (see, e.g. [2, 6, 10]) that the eigenvalues form a sequence, unbounded below as well as above. So we will enumerate it as , , when and , when , and the nearest to zero eigenvalue we will denote by . If there are two nearest to zero eigenvalue, then by we will denote the negative one. With this enumeration it is proved (see [2, 6, 10]), that the eigenvalues have the asymptotics:
[TABLE]
In what follows, writing will mean . If , then we know, (see, e.g. [10]), that instead of we have:
[TABLE]
Let be the solution of the Cauchy problem
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Since the differential expression self-adjoint, then the components and of the vector-function we can choose real-valued for real . By we denote the squares of the -norm of the eigenfunctions :
[TABLE]
The numbers are called norming constants. And by we will denote normalized eigenfunctions (i.e. ):
[TABLE]
It is known (see [6, 10]) that in the case of the norming constants have an asymptotic form:
[TABLE]
Definition 1.1**.**
Two Dirac operators and are said to be isospectral, if , for every .
Lemma 1.2**.**
Let and the operators and are isospectral. Then .
Proof.
The proof follows from the asymptotics (1.4):
[TABLE]
∎
So, instead of isospectral operators and , we can talk about “isospectral potentials” and .
Theorem 1.3** (Uniqueness theorem).**
The map
[TABLE]
is one-to-one.
Remark 1.4**.**
It is natural to call this a Marchenko theorem, since it is an analogue of the famous theorem of V. A. Marchenko [16], in the case for Sturm–Liouville problem. The proof of this theorem for the case there is in the paper [19]. The detailed proof for the case there is in [8] (see also [5, 6, 7, 9, 11, 20]).
Let us fix some and consider the set of all canonical potentials , with the same spectra as :
[TABLE]
Our main goal is to give the description of the set as explicit as it possible.
From the uniqueness theorem the next corollary easily follows.
Corollary 1.5**.**
The map
[TABLE]
is one-to-one.
Since , then have similar to (1.8) asymptotics. Since and are positive numbers, there exist real numbers , such that . From the latter equality and from (1.8) follows that
[TABLE]
It is easy to see, that the sequence is also from , i.e. . Since all are fixed, then from the corollary 1.5 and the equality we will get the following corollary.
Corollary 1.6**.**
The map
[TABLE]
is one-to-one.
Thus, each isospectral potential is uniquely determined by a sequence . Note, that the problem of description of isospectral Sturm–Liouville operators was solved in [4, 12, 13, 18].
For Dirac operators the description of is given in [9]. This description has a “recurrent” form, i.e. at the first in [9] is given the description of a family of isospectral potentials , for which only one norming constant different from (namely, ), while the others are equal, i.e. , when .
Theorem 1.7** ([9]).**
Let , \alpha\in\big{(}-\frac{\pi}{2},\frac{\pi}{2}\big{]} and
[TABLE]
where , and is a sign of transponation, e.g. . Then, for arbitrary , for all , for all and . The normalized eigenfunctions of the problem are given by the formulae:
[TABLE]
Theorem 1.7 shows that it is possible to change exactly one norming constant, keeping the others. As examples of isospectral potentials and we can present and
[TABLE]
where is an arbitrary real number and is an arbitrary integer.
Changing successively each by , we can obtain any isospectral potential, corresponding to the sequence . It follows from the uniqueness Theorem 1.3 that the sequence, in which we change the norming constants, is not important.
In [9] were used the following designations:
[TABLE]
Let and
[TABLE]
where
[TABLE]
where , if is odd and , if is even. The arguments in others and are the same as in the first. And after that in [9] the following theorem was proved.
Theorem 1.8** ([9]).**
Let and . Then
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We see, that each potential matrix defined by normalized eigenfunctions of the previous operator . This approach we call “recurrent” description.
In this paper, we want to give a description of the set only in terms of eigenfunctions of the initial operator and sequence . With this aim, let us denote by the set of the positions of the numbers in , which are not necessary zero, i.e.
[TABLE]
in particular . By we denote the square matrix
[TABLE]
where is a Kronecker symbol. By we denote a matrix which is obtained from the matrix by replacing the th column of by column, , Now we can formulate our result as follows.
Theorem 1.9**.**
Let and . Then the isospectral potential from , corresponding to , is given by the formula
[TABLE]
where
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and (the same for ).
In addition, for and we get explicit representations:
[TABLE]
2 Proof of Theorem 1.9
The spectral function of an operator defined as
[TABLE]
i.e. is left-continuous, step function with jumps in points equals and .
Let and they are isospectral. It is known (see [2, 3, 7, 14]), that there exists a function such that:
[TABLE]
It is also known (see, e.g. [2, 7, 14]), that the function satisfies to the Gelfand–Levitan integral equation:
[TABLE]
where
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If the potential from is such that only finite norming constants of the operator are different from the norming constants of the operator , i.e. and the others are equal, then it means, that
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where is Dirac -function. In this case the kernel can be written in a form of a finite sum (using notation (1.7)):
[TABLE]
and consequently, the integral equation (2.2) becomes to an integral equation with degenerated kernel, i.e. it becomes to a system of linear equations and we will look for the solution in the following form:
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where is an unknown vector-function. Putting the expressions (2.5) and (2.6) into the integral equation (2.2) we will obtain a system of algebraic equations for determining the functions :
[TABLE]
where
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It would be better if we consider the equations (2.7) for the vectors by coordinates and to be a system of scalar linear equations:
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The systems (2.8) might be written in matrix form
[TABLE]
where the column vectors , and the solution can be found in the form (Cramer’s rule):
[TABLE]
Thus we have obtained for the following representation:
[TABLE]
and then by putting (2.10) into (2.6) we find the function. If the potential is from , then such is also the kernel (see [9]), and the relation between them gives as follows:
[TABLE]
On the other hand we have
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So, using the Theorem 1.8 and the equality (2.12) we can pass to the limit in (2.11), when :
[TABLE]
The potentials in (1.10) and (2.13) have the same spectral data , and therefore they are the same and defined by (2.13) is also from .
Using (2.6) and (2.10) we calculate the expression and pass to the limit, obtaining for the and the representations:
[TABLE]
Theorem 1.9 is proved.
For example, when we change just one norming constant (e.g. for ) we get two independent linear equations:
[TABLE]
For the solutions we get:
[TABLE]
and for the potentials and :
[TABLE]
Acknowledgements
This work was supported by the RA MES State Committee of Science, in the frames of the research project No.15T-1A392.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
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