Abstract
We firstly prove the Horváth-type theorem for Sturm–Liouville operators on a star-shaped graph and then solve a new partial inverse nodal problem for this operator. We give some algorithms to recover this operator from a dense nodal subset and prove uniqueness theorems from paired-dense nodal subsets in interior subintervals having a central vertex. In particular, we obtain some uniqueness theorems by replacing the information of nodal data on some fixed edge with part of the eigenvalues under some conditions.
Keywords:
partial inverse spectral problem; partial inverse nodal problem; boundary value problem; graph; paired-dense nodal subset MSC:
34A55; 34B09; 34L05; 47E05
1. Introduction
Consider the following boundary value problem , , on a star-shaped graph with p edges of identical length 1, defined as follows:
associated with the separated boundary conditions at the pendant vertices 0
and the standard matching conditions at the central vertex 1
where is the spectral parameter, and , and is called the potential and is an integrable real-valued function on the l-th edge. The differential operators on quantum graphs have many applications in chemistry, mathematics, networks, spider webs, and so on (see [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17] and the references therein).
The problem B is a natural extension of the classical Sturm–Liouville problem on the finite interval. The inverse nodal problems for the classical Sturm–Liouville operators are to recover the potential and boundary conditions by using its nodal data [18,19,20,21,22,23]. McLaughlin [22] firstly studied the inverse nodal problem for the classical Sturm–Liouville operator and showed that one set of nodal points can determine the Sturm–Liouville operators uniquely. The solution of the potential function to this problem was given by Hald and McLaughlin [19]. The uniqueness results show that the inverse nodal problem is overdetermined. Later on, there was much study focus on how to use less information of nodal data to recover the potential. The uniqueness theorems and the reconstruction formulae are given by using twin-dense nodal subset [15,20,21,24,25,26], dense nodal subset [23,27,28], and partial nodal data [15,29,30,31]. Guo and Wei [30] presented a sharp condition on the nodal subset and proved the uniqueness for the classical Sturm–Liouville operator with a paired-dense nodal subset in interior subintervals under some conditions based on the Gesztesy–Simon theorem in [32]. In addition, the theory on dynamic Sturm–Liouville boundary value problems via variational methods was found in [33,34].
Beginning in 2002, Kuchment [5,6,7,8] studied quantum graphs and investigated the spectral properties of periodic boundary value problems for a carbon atom in graphene. In [12,13], Pivovarchik studied inverse spectral problems with Dirichlet boundary conditions for a star-shaped graph with p edges. He gave the asymptotic expansion of eigenvalues and showed that there are p sequences of eigenvalues where one sequence is simple while the others might not be. In particular, Law and Pivovarchik [35] discussed the multiplicity of the eigenvalues and interlacing properties between two spectral sets of the Sturm–Liouville problems defined on a tree. Recently, Luo, Jatulan and Law [36] gave a complete classification of Archimedean tilings for the periodic quantum graphs and investigated the sufficient conditions for point spectrum and continuous spectrum. Bondarenko [2] showed that if all components , but one on the graph are given a priori, the remaining component can be uniquely determined by two sequences of chosen eigenvalues and provided a constructive algorithm for the solution of the partial inverse problem. In [37], Wang and Shieh generalized Bondarenko’s theorem by the methods in [38]. In this paper, we are going to solve the following partial inverse spectral problem for B:
IP1: (Inverse Problem 1) If on , for and on for some , given a priori, recover and from part of the eigenvalues.
On the other hand, the inverse nodal problems on quantum graphs have been studied. In 2007, Currie and Watson [39] studied the inverse nodal problems on general graphs and showed that, for , one set of eigenvalues and nodal positions is sufficient to reconstruct the potentials . In 2008, Yurko [40] discussed the inverse nodal problem for B with , and proved that each component can be uniquely determined up to a constant by a dense nodal set. Later on, Cheng [41] derived the asymptotics of eigenvalues of B with , and presented direct and explicit formulae on recovering the potentials using a twin-dense nodal subset. Wang and Shieh [31] investigated the partial inverse nodal problem for B with Dirichlet boundary conditions from a twin-dense nodal subset in interior subintervals under some conditions. Therefore, we are going to solve the following partial inverse nodal problem for B with less nodal information:
IP2: (Inverse Problem 2) Recover the component from given paired-dense nodal subsets on subintervals having a central vertex.
We firstly prove the Horváth-type theorem for B and extend Horváth’s method in [38] for the classical Sturm–Liouville operator to B, which is also the theoretical basis for the solution of the partial inverse nodal problem for B. Then, we show that the components for B can be uniquely determined up to a constant by a dense nodal subset corresponding to the first eigenvalue sequence in ; see Theorem 2. We also give algorithms to reconstruct and from a dense nodal subset. In Theorem 3, combined with the Horváth-type theorem for B, we show that if there is a paired-dense nodal subset corresponding to the first eigenvalue sequence in a interior subinterval, then, with a sufficiently large counting number corresponding to the first eigenvalue sequence, we can uniquely determine the components up to a constant on the whole graph. Finally, in Theorem 4, without any nodal data on some -th edge but with part of the eigenvalues, we can also uniquely determine components up to a constant on the whole graph from a paired-dense nodal subset corresponding to the first eigenvalue sequence and sufficiently large counting numbers. We extend Guo-Wei’s method in [30] for the classical Sturm–Liouville operator to B.
2. Preliminaries
Let and be solutions of (1) for each associated with the initial conditions:
Moreover, we have
By the results in [42], we obtain the asymptotic formulae:
- (a)
- If ,
- (b)
- If ,
for , where , , and
The characteristic function of B is defined by
which is an entire function in of order 1/2, where all zeros of coincide with the eigenvalues of B. Denote asthe eigenvalue set of B (counting with their multiplicities) where and . We shall find the asymptotic formulae of nodal points separately corresponding to the three cases:
By (Theorem 2.1 [41]), all eigenvalues are real. For the case I, there exist p sequences of eigenvalues with the asymptotic formulae:
for , where is the -th, zero of the polynomial of degree
For case II, there exist p sequences of eigenvalues with the asymptotic formulae
for , where
and is the -th, zero of the polynomial of degree
and for the case III, there exist p sequences of eigenvalues with the asymptotic formulae
for , where
is the -th, root of the polynomial of degree
and is the -th, root of the polynomial of degree
The function
is called the Weyl m-function of , where the problem is defined by by (1), (2) and . Applying the same arguments as the proof of Marchenko’s theorem in [43], one shows that the Weyl m-function uniquely determines on with and . The eigenfunction corresponding to the eigenvalue of B is of the form:
where , are constant, do not depend on x, and are not all zeros. The function is called the l-th component of . Let be the j-th nodal point of the l-th component corresponding to the eigenvalue , i.e., The l-th component has exactly (simple) zeros inside the interval and
For , let be the nodal set of the l-th component corresponding to . Then, is dense on (see below for Lemma 1). Since we can only obtain the same nodal information from the same eigenvalues, we assume that is a strictly increasing subsequence in (where is defined in Lemma 2) such that
Next, we shall give the definition of a paired-dense nodal subset on a finite interval.
Definition 1.
For each , denote with on the l-th edge. The nodal subset is called a paired-dense nodal subset on corresponding to if the following conditions hold:
- 1.
- For each , there exist some , , such that .
- 2.
- .
The definition of the paired-dense nodal subset was given in [30]. Clearly, the twin-dense nodal subset is a special case of the paired-dense nodal subset. Denote
By the asymptotic behavior of and one can easily obtain asymptotic behavior of nodal points. We omit the proof.
3. Partial Inverse Spectral Problems
In this section, we shall study the partial inverse spectral problem for B. Let the boundary value problem have the same form as B but with different coefficients. If a certain symbol denotes an object related to B, then the corresponding symbol with a tilde denotes the analogous object related to . Let .
For , let be a strictly increasing subsequence in , and denote . For each , the counting function corresponding to is defined by
Clearly the entire functions and in are only dependent on and . If then we cannot obtain any information about the component from the eigenvalue by (21). Hence, we add the following Assumption 1:
Assumption 1.
For each , such that
We shall prove the following Horváth type-theorem for B, which is a solution toIP1:
Theorem 1.
Let on , for and on for some , be given a priori. If with Assumption 1 satisfied, and there exist such that
for sufficiently large , and
where denotes the largest integer less than or equal to x, then
Proof.
The assumption on and for all together with the initial conditions show that
for all . From (21) and (26), it is clear that
By on , this yields
Define the function by
where
If , we substitute by in (33). If the eigenvalue is simple, then (31) guarantees that the function is analytical at . By (8), (10) and (13), we see that the multiplicity of each eigenvalue can be only finite. Assume that the multiplicity of the eigenvalue is . Then,
Similar to (35), we have
This implies that the function has zeros at of at least . Moreover, the function has zeros at of at least . Thus, the function is analytical at . Note that (4) and (5) show that
for . By the results on the Weyl m-functions and in [32], we have
uniformly in for in any sector for where (for details, see [32]). Consequently, it follows from (4), (5) and (39) that
for in any sector . By Levinson’s estimate (see [44]), then the first formula of (8), or (10), or (13) and (22), or (23) imply that there exists a constant such that
for sufficiently large , where
Thus (37), (38), and (42) show that
for sufficiently large . Consequently, (43) and the maximum modulus principle show that the entire function is of the zero-exponential type, i.e., for arbitrary , then
for sufficiently large , where c is constant. Noting that
we obtain
Next, we shall prove by two cases
for sufficiently large . Here and below, we use the symbol c to represent a positive constant that may vary from one formula to another.
Case (2): There exist eigenvalues such that , where there may exist some such that . If , then for all . Without loss of generality, we assume
Let
and
Since
then there exists a sufficiently large such that
for . Note that
It follows from (53) that
The proof of Theorem 1 is completed. □
4. Partial Inverse Nodal Problems
In this section, we shall study the partial inverse nodal problem for B from a paired-dense nodal subset in an interior subinterval having a central vertex. For , we say if for any there exist such that , and
We obtain the following three uniqueness theorems for B.
Theorem 2.
For each , let be a dense nodal subset on ; then
Denote
We need the following lemma to prove our main results in this paper.
Lemma 2.
Let for . If , then there exists a large number such that
By Theorems 1, 2 and Lemma 2, we prove Theorems 3 and 4, which are solutions to IP2.
Theorem 3.
Let for and If , and there exist , and such that
for sufficiently large , and
then
Remark 1.
We can only study the partial inverse nodal problems for the cases , . The general cases , require a separate investigation.
Without any nodal data on the component , we have Theorem 4 from Theorems 3 and 1.
Theorem 4.
Let for and . Suppose that for , and for , for satisfying the assumption(A), and there exist , , , , such that
for sufficiently large ;
then (59) holds.
Next, we present proofs of Lemma 2 and Theorems 2–4.
Proof of Theorem 2.
For each fixed and , we choose such that . This implies By (17)–(20) and the Riemann–Lebesgue lemma, we have
It follows from the assumption that
By (69), we find T by
For cases II and III with , letting in (63) and (66), we obtain
Furthermore, it follows from (71) that
Consequently, (67)–(75) imply that
This completes the proof of Theorem 2. □
The proof of Theorem 2 is constructive. We reconstruct the potential up to a constant on the equilateral graph with the dense nodal subset on the l-th edge, , by the following algorithms:
Algorithm 1: For case I, reconstruct the potential up to a constant by the following two steps:
- (1)
- Find by (62) for each .
- (2)
- Reconstruct on by (67).
Algorithm 2: For case II, reconstruct the potential up to a constant by the following three steps:
- (1)
- Find by (63) for each .
- (2)
- Reconstruct for each by (73), and then find .
- (3)
- Recover on for each by (68).
Algorithm 3: For case III, reconstruct the potential up to a constant by the following four steps:
- (1)
- Find by (64) for each ; reconstruct T by (72).
- (2)
- Find by (65) for each and find by (66) for each .
- (3)
- Reconstruct for each by (74), and then find .
- (4)
- Recover on for each by (70).
Proof of Lemma 2
By suitably modifying the proof of Theorem 2, we obtain
It follows from (17)–(20) that as
If the problems B and belong to the same subcase in (7), say, case I, it follows from the first formula of (78) and the assumption that
Without loss of generality, we assume here and below. This implies
It follows from (79) that
If the problem B belongs to case II, while the problem belongs to case III, then it follows from the second and third formulae of (78) and the assumption that
By virtue of (81), this yields
In particular, we have
and hence
By (82), we obtain
This implies
which is impossible by and . Therefore, the problems B and belong to the same subcase, and other cases can be treated similarly. This implies that (80) is valid for . Next, we only consider the problems B and belonging to case III and . For each , consider two Dirichlet boundary value problems defined on the interval ,
and
By (84)–(87) and the integrations, we easily obtain
By virtue of (92) and on , we have
On the other hand, it follows from (5)
By virtue of (94), this yields
For (80) shows that
It follows from the first formula of (13) and (80) that
By (80), (96) and (97), there exists a sufficiently large constant such that
for all . It follows from (92) and (98) that
Therefore, (93) and (99) imply that
for all . This completes the proof of Lemma 2. □
Next, we prove Theorem 3.
Proof of Theorem 3.
By the assumption of Theorem 3 together with Lemma 2, we have
Let , , and be the solution of
By a shift of the spectrum to the constant , then (100) and (101) imply
Next, we prove
For each , (103) and (104) show that
It follows from (4) and (5) that
for . Consequently, it follows from (4), (5) and (39) that
for in any sector . Define the function by
Therefore, (105) together with the assumption on show that is an entire function in . By Levinson’s estimate (see [44]), the first formula of (8), or (10), or (13) and (58) imply that there exists a constant such that
for sufficiently large . Thus (106), (107) and (110) for show that
for sufficiently large . Consequently, it follows from , (111) and the maximum modulus principle that the entire function is of the zero-exponential type, and then for arbitrary ,
for sufficiently large . By calculations, we have
for a that is sufficiently large. It follows from (108), (109) and (113) that
for a sufficiently large . This implies
By the Phragmén-Lindelöf-type result in [20] together with (112) and (114) again, we obtain
It follows from (115) that
Consequently,
By (116) together with Marchenko’s result in [21], we obtain
Hence, (103) and (117) show that (59) holds. The proof of Theorem 3 is completed. □
Proof of Theorem 4.
We use the same symbols as these in Theorem 3. Applying the same arguments as the proof of Theorem 3, we have
Next, we prove
It follows from (1) and (102) for that
Similar to the argument as the proof of Theorem 1, one can complete the remaining proof of Theorem 4. □
Author Contributions
Conceptualization, X.-B.W.; Formal analysis, Y.-P.W.; Resources, Y.-H.C.; Writing—original draft, Y.-P.W.; Writing—review & editing, X.-B.W. All authors have read and agreed to the published version of the manuscript.
Funding
This research received no external funding.
Institutional Review Board Statement
Not applicable.
Informed Consent Statement
Not applicable.
Data Availability Statement
Not applicable.
Conflicts of Interest
The authors declare no conflict of interest.
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