Abstract
We suggest a new statement of the inverse spectral problem for Sturm–Liouville-type operators with constant delay. This inverse problem consists of recovering the coefficient (often referred to as potential) of the delayed term in the corresponding equation from the spectra of two boundary value problems with one common boundary condition. The previous studies, however, focus mostly on the case of zero initial function, i.e., they exploit the assumption that the potential vanishes on the corresponding subinterval. In the present paper, we waive that assumption in favor of a continuously matching initial function, which leads to the appearance of an additional term with a frozen argument in the equation. For the resulting new inverse problem, we pay special attention to the situation when one of the spectra is given only partially. Sufficient conditions and necessary conditions on the corresponding subspectrum for the unique determination of the potential are obtained, and a constructive procedure for solving the inverse problem is given. Moreover, we obtain the characterization of the spectra for the zero initial function and the Neumann common boundary condition, which is found to include an additional restriction as compared with the case of the Dirichlet common condition.
Keywords:
Sturm–Liouville-type operator; functional-differential operator; constant delay; initial function; frozen argument; inverse spectral problem MSC:
34A55; 34K29
1. Introduction and Main Results
In recent years, there appeared a considerable interest in the inverse problem of recovering an integrable or a square-integrable potential in the functional-differential equation
with constant delay from the spectra of two boundary value problems for (1) with one common boundary condition (see [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17] and references therein). For this problem becomes the classical inverse Sturm–Liouville problem due to Borg [18,19], but the nonlocal case requires other approaches. Moreover, it reveals some essentially different effects in the solution of the inverse problem than in the classical situation For example, the solution of the inverse problem may be non-unique when (see [12,13,14]).
Various equations with delay have been actively studied from the last century in connection with numerous applications (see, e.g., [20,21,22,23,24,25,26]). Such equations can be characterized by the possibility for the argument of the unknown function to go beyond its domain. For example, Equation (1) for includes values of for In order to overcome this issue, one should specify an initial function, i.e., to impose for with some known In particular, one can put on which actually corresponds to specifying We distinguish these two ways because rewriting Equation (1) in the form
where and
shows that leads to a non-homogenous equation, while deals with the corresponding homogenous one. Thus, for posing an eigenvalue problem, it is natural to choose the latter, i.e., to assume that on For this reason, the previous studies of inverse problems for (1) were focused mostly on this case, i.e., the reconstruction of was actually carried out only for while was a priori assumed to be zero.
A non-zero initial function f also may be appropriate for posing an eigenvalue problem, but it should be linearly dependent on the unknown function on as, e.g.,
This example corresponds to the classical theory [22] and ensures a continuous continuation of to whenever and Such continuation, however, is not always required (see, e.g., [25]). So, one can consider more general forms of an initial function such as with a linear operator L acting from to Then, for keeping L in the frames of a perturbation, a natural requirement would be its relative compactness [27] with respect to the minimal operator of double differentiation. In particular, one can take where is a linear functional relatively bounded to e.g., for some and We will focus, however, on the special case (4).
An attempt to study the inverse problem for Equation (1) with a non-zero initial function has been made in [16]. However, no dependence of on was assumed at all.
In the present paper, we refuse the usual assumption but in favor of the initial function in the form (4). Then, Equation (1) can be rewritten with the so-called frozen argument:
Since the functions and enter only in their product they cannot be recovered simultaneously from any spectral information. Moreover, the reconstruction of on any subinterval can be possible only if a.e. on For these reasons, we consider without loss of generality the canonical situation when
For denotes the boundary value problem for Equation (1) with a complex-valued potential under the boundary conditions
and under the initial-function condition
Let be the spectrum of Consider the following inverse problem.
Inverse Problem 1.
Given and find
The main results of the present paper (Theorems 1–3) are restricted to the case In accordance with [13,14], the solution of Inverse Problem 1 may be non-unique for while the case will require an additional investigation. For future reference, however, we will mark those auxiliary assertions below whose proofs automatically extend to any wider ranges of a than just
Everywhere below, one and the same symbol will denote different sequences in The following theorem gives basic necessary conditions for the solvability of Inverse Problem 1.
Theorem 1.
For the following asymptotics holds
Here, the constant ω is determined by the formula
Moreover, if the spectra and correspond to one and the same then
where
while the functions and are determined by the formulae
Condition (9) actually means that Inverse Problem 1 remains overdetermined as in the case (see [6,15]). As will be seen below, it is sufficient to specify only one full spectrum and an appropriate part of the other one. For example, we also consider the following problem.
Inverse Problem 2.
Given and find
Here, is an increasing sequence of non-negative integers. The next theorem gives sufficient conditions as well as necessary conditions on for the uniqueness of
Theorem 2.
(i) If the system is complete in then the potential in Inverse Problem 2 is determined uniquely.
(ii) Conversely, if the specification of and uniquely determines then the defect of does not exceed i.e.,
Since the system is complete in this theorem, obviously, implies the unique determination of by both complete spectra as in Inverse Problem 1.
The use of subspectra in the inverse problem with delay began in [6] for the zero initial function, where necessary and sufficient conditions were obtained on parts of both spectra to ensure the uniqueness of in the case of the Dirichlet common condition at the origin.
We note that the gap between the sufficient and the necessary conditions in Theorem 2 is actually caused by imposing the common Neumann boundary condition. By the same reason, the conditions in Theorem 1 do not suffice for the solvability of Inverse Problem 1.
In the case of the Dirichlet common condition, necessary and sufficient conditions for the solvability of the corresponding inverse problem were obtained in [15] when Here, we provide such conditions in the same case but for the Neumann common condition, which brings to them an additional item. Specifically, the following theorem holds.
Theorem 3.
The latter relation is an additional characterizing condition, which does not exist in the Dirichlet case [15]. We note that the relevant difference between both cases was pointed out in [12] (see Remark 2 therein).
There are also various studies of recovering the operator with purely frozen argument
from its spectrum, where and (see [28,29,30,31,32,33,34,35] and references therein). In particular, its unique solvability depends on the value of b as well as on and We note that both related to Inverse Problem 1 situations: and belong to the so-called non-generate case, when the solution is unique (see, e.g., [28,29,32]).
We note that Theorem 2 also formally holds for which follows from Theorem 4.1 in [28] or Theorem 2 in [29]. In this case, and Then, Equation (1) under the initial-function condition (6) becomes an equation with purely frozen argument:
where is uniquely determined by the single spectrum
The paper is organized as follows. In the next section, we construct transformation operators for a fundamental system of solutions of the homogeneous equation in (2), i.e., when In Section 3, Green’s function of the Cauchy problem for the non-homogeneous Equation (2) under the zero initial conditions is constructed. In Section 4, we study the characteristic functions of the problems and prove Theorem 1. Proofs of Theorems 2 and 3 are given in Section 5 along with a constructive procedure for solving the inverse problems. In the last section, we summarize the main innovations of the paper and discuss the results.
Throughout the paper, we agree that is connected with by the relation while and denote the partial derivatives of a function f with respect to the first argument:
2. Transformation Operators
Let and be solutions of the homogeneous equation in (2), i.e., the equation
under the initial conditions
They form a fundamental system of solutions of Equation (13) (see, e.g., [14]).
In this section, we obtain representations for the functions and involving the so-called transformation operators, which connect them with the corresponding solutions of the simplest equation with the zero potential. Specifically, the following lemma holds.
Lemma 1.
Let The functions and admit the representations
where (in accordance with our standing agreement) and
Proof.
Remark 1.
While the imposed restriction is vital for (16) and (17), representations (14) and (15) also remain valid for all smaller but with more complicated kernels. In particular, Lemma 1 in [15] gives an integral equation for for all Moreover, it extends representation (14) to quadratic pencils with two delays.
The following corollary can be easily checked by direct calculations.
Corollary 1.
The following representations hold:
where
3. Green’s Function of the Cauchy Operator
Here, we obtain the solution of the Cauchy problem for the non-homogeneous Equation (2) with an arbitrary free term under the zero initial conditions
In the next section, we will need representations for and
As in the local case the function is expected to have the form
where is called Green’s function. Let us obtain an explicit formula for it.
Lemma 2.
Let Then,
where the function for each fixed solves the Cauchy problem
with
Proof.
Since the function is uniquely determined by the representation (22), one has the right to impose any restrictions on it that will finally lead to (22). In particular, it is natural to assume that is sufficiently smooth and obeys the conditions
Then, substituting (22) into (2) and taking the arbitrariness of into account, we obtain the relations
which, in turn, along with (26) guarantee that (22) is a solution of the problem (2) and (21).
Substituting into the above three relations instead of we obtain
Lemma 3.
Let Then, the following representations hold:
and
whenever
Proof.
4. Characteristic Functions
Consider the entire functions
The next lemma holds for any
Lemma 4.
For eigenvalues of the problem coincide with zeros of
Proof.
Since the sum cannot be identically zero, any zero of is an eigenvalue of the problem which, in turn, under our settings has the form
Conversely, let be an eigenvalue of and let be the corresponding eigenfunction, i.e., a nontrivial solution of (35). Then, since, obviously, otherwise. Without loss of generality, one can assume that which will imply due to the uniqueness of solution of the Cauchy problem. Hence, □
As usual, we call the characteristic function of the problem The following lemma based on the two preceding sections gives representations for both characteristic functions.
Lemma 5.
The characteristic functions admit the representations
Moreover, the constant ω is determined by (8), and
while for
Proof.
In the rest of this section, we provide auxiliary facts about arbitrary functions of the form (36) and (37) and give the proof of Theorem 1.
Lemmas 6–8 below are valid for any fixed By the standard approach (see, e.g., [19,36]) involving Rouché’s theorem, one can prove the following assertion.
Lemma 6.
For any has infinitely many zeros of the form (7).
The next assertion for can be found in [19], but the proof does not depend on the value of a as soon as it ranges within
Lemma 7.
Now, we are in position to give the proof of Theorem 1.
Proof of Theorem 1.
Statements analogous to the next lemma are often used for finding necessary and sufficient conditions for the solvability of inverse problems, i.e., a characterization of the spectral data (see Remark 2 in [36]). For its proof, we will follow a new simple idea suggested in [36].
Lemma 8.
Proof.
Since the assertion of the lemma for formally follows from Lemma 6 in [15], we focus on the case Let a sequence of the form (7) be given. First, let all values be distinct and Denote for By virtue of Lemma 2 in [36], the system is a Riesz basis in Moreover, the asymptotics (7) implies where and is as in (7). Hence, there exists a unique function obeying the relations
Obviously, is even. Thus, are zeros of the function determined by (37) with By Lemma 6, has no other zeros, while by Lemma 7, it admits the second representation in (11), which finishes the proof for a simple sequence containing a zero element.
For the general case, it is sufficient to note that multiplying with any function
preserves the form (37) and changes only Indeed, we have
where
The function is whole as soon as are zeros of Moreover, in the -plane, we, obviously, have and as Thus, by virtue of the Paley–Wiener theorem (see, e.g., [37]), it has the form
which finishes the proof completely. □
Finally, let us give one more auxiliary assertion, which will be used in the proof of Theorem 2. Let be an increasing sequence of non-negative integers. Without loss of generality, assume that multiple elements in the subspectrum are neighboring, i.e.,
where is the multiplicity of the value in this subspectrum. Put
and consider the functional system where
Lemma 9.
The system σ is a Riesz basis in if and only if so is the system Moreover, they have equal defects, i.e.,
Proof.
Let there exist d linearly independent entire functions of the form
whose zeros have the common part In other words, the space contains at least d linearly independent functions Consider the meromorphic function
Then, the entire (after removing singularities) function has the form
Indeed, as in the proof of Lemma 2 in [36], one can show that whenever
for each fixed Hence, we have for such Thus, according to (49), the function is square-integrable on the line while the maximum modulus principle for analytic functions gives as in the entire plane. Using the Paley–Wiener theorem [37] and taking the oddness of into account, we obtain (50). Obviously, the functions are linearly independent, and their zeros have the common part with account of multiplicity. Therefore, Analogously, one can prove the inequality
We have proved the second assertion of the lemma, which means, in particular, that the systems and can be complete in only simultaneously. Hence, by virtue of Proposition 1.8.5 in [19], the simultaneous Riesz-basisness follows from their quadratical closeness
The last inequality, in turn, is ensured by the estimate
which holds uniformly in □
5. Solution of the Inverse Problems
When the functions and are specified, relations (38)–(40) can be considered as a nonlinear integral equation with respect to The following lemma actually implies its unique solvability.
Proof.
Summing up equations (39) and (40) and then subtracting one from the other, we obtain
Changing the variable, we arrive at the relations
Then, changing the order of integration in the last two formulae, we obtain the system
Using the designations
one can rewrite the latter system as a Volterra integral equation of the second kind:
which possesses a unique solution (see, e.g., [38]). □
Proof of Theorem 2.
First of all, note that due to (7), the value is always determined by specifying via the formula
where the natural sequence is chosen so that Alternatively, in accordance with (37), one can use the relation
where is constructed by the second formula in (11).
(i) Let the system be complete in Since, according to Lemma 7, the characteristic function is uniquely determined by its zeros, so is also in (37). By virtue of (38), the function coincides with a.e. on i.e., it becomes known too.
By differentiating (36) times and substituting for we arrive at the relations
where and were defined before Lemma 9 and
Hence, by virtue of Lemma 9, the function is determined uniquely also on Thus, it remains to recall representations (3) and (38), as well as to apply Lemma 10.
(ii) Assume that is uniquely determined by and and, to the contrary, that Then, according to Lemma 9, we have i.e., there exist at least two linearly independent functions such that
Let be a solution of the integral equation
where is defined in (51), while
According to (53), we have where
while is the resolvent kernel for the kernel Choose and so that they do not vanish simultaneously and
Since the functions and are linearly independent, so are and Hence, Continue to as zero and consider the function By virtue of (62) and Lemma 5, the characteristic functions and of the problems and respectively, have the forms
and a.e. on for Moreover, analogously to (53), we have
Comparing this with (51), (60), and (61), we obtain a.e. on and
Hence, the spectra of and coincide. Moreover, according to (56)–(59) and (63), the sequence is a subsequence of zeros of Hence, is a subspectrum also of the problem Thus, we obtained another potential with the same spectral data and as q has. This contradiction finishes the proof. □
Now, we are in a position to give a constructive procedure for solving Inverse Problem 1 (Algorithm 1).
| Algorithm 1 Constructive procedure for solving Inverse Problem 1 |
Let the spectra and be given. Then: (i) Construct the functions and by the formulae in (11); (iii) Calculate the functions and in (36) and (37) by inverting the corresponding Fourier transforms: (iv) Find by any relation in (38) and put for (v) Construct the functions and by the formulae (51) and (52), respectively, and find by solving the Volterra integral Equation (53); (vi) Finally, construct where on |
This algorithm can be easily extended to Inverse Problem 2 if is a Riesz basis in Then, by virtue of Lemma 9, so is the system Therefore, on step (iii), the function can be constructed in accordance with (56) by the formula
where the coefficients are determined by relations (57) and (58), while is the biorthogonal basis to the basis It remains to note that, according to (38), the knowledge of on is excessive since has been found completely.
Proof of Theorem 3.
Let us begin with the necessity part. According to (10), (36), and (37), we have
Hence, by virtue of (3) and (38), the exponential types of and do not exceed Finally, the relation (12) follows from Lemmas 5 and 7 after substituting into (37) and the second formula in (11). Indeed, according to (38) and (40), the assumption implies
For the sufficiency, we construct the functions and by the formulae in (11) using the given sequences and By virtue of Lemma 8, these functions have the forms (36) and (37), respectively, with some which, in turn, vanish a.e. on by the first condition along with the Paley–Wiener theorem [37].
By virtue of Lemma 10, there exists a unique solution of the system (39) and (40) with As in (64), we calculate
and, hence,
On the other hand, the second formula in (11) and condition (12) imply which, along with (65), gives Consider the problems and with the potential
According to Lemma 5, and are their characteristic functions, respectively. Hence, is the spectrum of for □
6. Conclusions and Discussing the Results
The paper thus connects two different directions in the inverse spectral theory, namely: for operators with constant delay [1,2,3,4,5,6,7,8,9,10,11,12,13,14,15,16,17] and for operators with a frozen argument [28,29,30,31,32,33,34,35], which have been developed independently before the present study. Such a fusion is naturally caused by replacing the standard assumption of the vanishing of the potential on in Equation (1) by imposing a continuously matching initial function (4). This leads to the appearance of a new term with a frozen argument at zero in Equation (5). Alternative forms of an initial function may give rise to considering also other equations with frozen argument
where and while or more general equations
with some known linear operator under the reasonable assumption of the relative compactness with respect to the operator of double differentiation.
The usual restriction means that the two spectra must carry excessive information about the potential. For this reason, the reconstruction of given only parts of the spectra was initiated in [6]. In particular, necessary and sufficient conditions for arbitrary subspectra guaranteeing the uniqueness of the potential were established. Later in [15], necessary and sufficient conditions for the solvability of the inverse problem from the complete spectra were obtained. Due to the overdetermination, these conditions besides the asymptotics also included some restrictions on the growth of certain entire functions constructed by the spectra.
Refusing the assumption would obviously lead to an increase of the required information for the unique recovery of However, Theorem 2 shows that one of the spectra can still be specified partially. This effect is caused by the unique determination of the corresponding operator with the purely frozen argument, when from only one spectrum.
The proof of Theorem 2 gave Algorithm 1 for solving the inverse problem, which can be implemented numerically. We note that, in spite of the growing interest in recovering operators with constant delay, still no numerical results in this direction are known. For implementing Algorithm 1, one can adapt the numerical method suggested in [39] for integro-differential operators and involving approximations by entire functions of exponential type.
Author Contributions
Conceptualization, S.B. and S.V.; Methodology, S.B. and S.V.; Formal analysis, S.B. and S.V.; Investigation, S.B. and S.V.; Writing—original draft, S.B. and S.V.; Writing—review & editing, S.B. and S.V.; Supervision, S.B.; Project administration, S.B. All authors have read and agreed to the published version of the manuscript.
Funding
This research was supported by the Russian Science Foundation, Grant No. 22-21-00509, https://rscf.ru/project/22-21-00509/.
Data Availability Statement
The data presented in this study are openly available in arXiv at https://doi.org/10.48550/arXiv.2304.05487.
Acknowledgments
The authors are grateful to Maria Kuznetsova for reading the manuscript and making valuable comments as well as to anonymous referees for helpful remarks and recommendation to add Section 6.
Conflicts of Interest
The authors declare no conflict of interest.
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