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Inverse Sturm-Liouville problem with analytical functions in the boundary condition

  • Natalia Pavlovna Bondarenko EMAIL logo
Published/Copyright: June 10, 2020

Abstract

The inverse spectral problem is studied for the Sturm-Liouville operator with a complex-valued potential and arbitrary entire functions in one of the boundary conditions. We obtain necessary and sufficient conditions for uniqueness and develop a constructive algorithm for the inverse problem solution. The main results are applied to the Hochstadt-Lieberman half-inverse problem. As an auxiliary proposition, we prove local solvability and stability for the inverse Sturm-Liouville problem by the Cauchy data in the non-self-adjoint case.

MSC 2010: 34A55; 34B07; 34B09; 34B24; 34L40

1 Introduction

The article aims to solve the inverse spectral problem for the following boundary value problem L ( q ) :

(1.1) y ( x ) + q ( x ) y ( x ) = λ y ( x ) , x ( 0 , π ) ,

(1.2) y ( 0 ) = 0 , f 1 ( λ ) y ( π ) + f 2 ( λ ) y ( π ) = 0 .

Here (1.1) is the Sturm-Liouville equation with the complex-valued potential q L 2 ( 0 , π ) . The boundary condition at x = π contains arbitrary functions f j ( λ ) , j = 1 , 2 , analytical by the spectral parameter λ in the whole complex plane. The Dirichlet boundary condition y ( 0 ) = 0 is chosen for definiteness. One can similarly study the case of the Robin boundary condition y ( 0 ) h y ( 0 ) = 0 , which requires technical modifications. The Sturm-Liouville equation (1.1) arises in investigation of wave propagation in various media, heating processes, electron motion, etc.

The case of constant coefficients f 1 and f 2 has been studied fairly completely (see the classical monographs [1,2,3,4] and references therein). There is also a number of studies concerning inverse problem for Sturm-Liouville operators with linear [5,6,7,8] and polynomial [9,10,11,12,13,14,15] dependence on the spectral parameter in the boundary conditions. Some properties of eigenvalues and eigenfunctions of the Sturm-Liouville problems with entire functions in the boundary conditions were investigated in [16,17].

In this article, we study problem (1.1)–(1.2) with arbitrary entire functions in the boundary condition. Let { λ n } n = 1 be a subsequence of the eigenvalues of the problem L ( q ) . This subsequence may coincide with the whole spectrum or not. Note that the behavior of the spectrum depends very much on the functions f j ( λ ) , j = 1 , 2 . Since no additional restrictions are imposed on these functions, we cannot investigate certain properties of the spectrum. Nevertheless, we can study the following inverse problem under some additional restrictions on the subspectrum { λ n } n = 1 .

Inverse Problem 1.1

Let the entire functions f j ( λ ) , j = 1 , 2 , be known a priori. Given the eigenvalues { λ n } n = 1 and the number ω : = 1 2 0 π q ( x ) d x , find the potential q.

Investigation of this problem is motivated by several applications. In recent years, the so-called partial inverse problems have attracted much attention of scholars. In such problems, it is assumed that coefficients of differential expressions (e.g., the Sturm-Liouville potential q ( x ) ) are known a priori on a part of an interval. Therefore, less spectral data are required to recover the unknown part of coefficients. A significant part of those partial inverse problems can be reduced to Inverse Problem 1.1 for the operator with analytical dependence on the spectral parameter in the boundary conditions. We provide an example of such reduction for the Hochstadt-Lieberman problem [18] in Section 5. Recently, partial inverse problems have been intensively studied for Sturm-Liouville operators with discontinuities (see [19,20,21,22,23]). The latter operators arise in geophysics and electronics. Partial inverse problems have also been investigated for differential operators on geometrical graphs (see [24,25,26,27,28]). Such operators model wave propagation through a domain being a thin neighborhood of a graph and have applications in various branches of science and engineering (see [29]). Another popular problem is the inverse transmission eigenvalue problem arising in acoustics (see [30,31,32,33]). The results of the present article generalize many known results on the mentioned inverse problems. Recently, the half-inverse problem on a time-scale has been investigated in [34]. The latter problem is also a special case of Inverse Problem 1.1. Note that, in certain applications, the constant ω can be obtained from the eigenvalue asymptotics (e.g., see Section 4).

The idea of reduction of partial inverse problems to the form with entire functions in the boundary condition appeared in [35]. The authors of [35] considered Gestezy-Simon-type inverse problems [36] for the Sturm-Liouville equation (1.1) with the potential given on ( a , π ) , a ( 0 , π ) , and represented those problems in the form with the boundary condition y ( a ) f ( λ ) y ( a ) = 0 , where f ( λ ) is a Herglotz function. However, the results of [35] are limited to specific uniqueness theorems in the self-adjoint case.

In this article, we obtain necessary and sufficient conditions for uniqueness of Inverse Problem 1.1 solution and develop a constructive algorithm for solving this inverse problem. This algorithm is used in the sequel study [37] for investigation of solvability and stability for Inverse Problem 1.1. Further this theory can be generalized to other types of differential operators and pencils.

Our method is based on completeness and basisness of special vector-functional sequences in appropriate Hilbert spaces. This method allows us to reduce Inverse Problem 1.1 to the classical Sturm-Liouville inverse problem with constant coefficients in the boundary conditions. In contrast to the majority of the studies on inverse Sturm-Liouville problems, our analysis does not require self-adjointness of the operator. We investigate the most general case, when the potential q ( x ) is complex-valued and the given eigenvalues can be multiple. For solving the inverse Sturm-Liouville problem with boundary conditions independent of the spectral parameter, we rely on the inverse problem theory for non-self-adjoint Sturm-Liouville operators developed in [4,38,39].

The article is organized as follows. In Section 2, we introduce the notations and formulate the main results, in particular, necessary and sufficient conditions for uniqueness of solution (Theorems 2.2 and 2.3) and Algorithm 2.4 for constructive solution of the inverse problem. We also provide some simple conditions on the subspectrum { λ n } n = 1 sufficient for uniqueness and for constructive solution (see Theorem 2.5). The main theorems are proved in Section 3. In Section 4, we apply our results to the Hochstadt-Lieberman problem. Section 5 is a conclusion, summarizing the results of the article. In Appendix, Theorem 6.1 on local solvability and stability is proved for the inverse Sturm-Liouville problem by Cauchy data. This result plays an auxiliary role in analysis of Inverse Problem 1.1. However, as far as we know, Theorem 6.1 is new for the case of the complex-valued potential q ( x ) and so can be treated as a separate result.

2 Main results

Let us start with some preliminaries. Denote by S ( x , λ ) the solution of Equation (1.1), satisfying the initial conditions S ( 0 , λ ) = 0 , S ( 0 , λ ) = 1 . Here and below the prime stands for the derivative with respect to x. For derivatives with respect to λ , we use the following notation:

f j ( λ ) = 1 j ! d j d λ j f ( λ ) , j 0 .

The spectrum of L ( q ) consists of eigenvalues, which coincide with the zeros of the characteristic function

(2.1) Δ ( λ ) f 1 ( λ ) S ( π , λ ) + f 2 ( λ ) S ( π , λ ) .

Clearly, the function Δ ( λ ) is entire in the λ-plane.

Consider a subsequence { λ n } n = 1 of the spectrum. Any multiple eigenvalue can appear in the sequence { λ n } n = 1 a number of times not exceeding its multiplicity. By the eigenvalue multiplicity, we mean the multiplicity of the corresponding zero of the analytic function Δ ( λ ) . In other words, if for some μ we have # { n : λ n = μ } = k , then Δ j ( μ ) = 0 , j = 0 , k 1 ¯ . We call such a sequence { λ n } n = 1 a subspectrum of L ( q ) .

Let us add to the given subspectrum the value λ 0 0 . Define

(2.2) I { n 0 : λ n λ k , k : 0 k < n } , m n # { k 0 : λ k = λ n } ,

i.e., I is the index set of all the distinct values among { λ n } n = 0 and m n is the multiplicity of λ n for n I . Without loss of generality, we assume that the equal eigenvalues are consecutive: λ n = λ n + 1 = = λ n + m n 1 for all n I .

Define the functions

s ( x , λ ) = λ sin ( λ x ) , c ( x , λ ) = cos ( λ x ) .

Obviously, the functions λ 1 s ( x , λ ) and c ( x , λ ) are entire by λ for each fixed x [ 0 , π ] . Define η 1 ( λ ) S ( π , λ ) , η 2 ( λ ) S ( π , λ ) . Further we need the following standard relations, which can be obtained by using the transformation operator (see [1,4,40]):

(2.3) η 1 ( λ ) = s ( π , λ ) λ ω c ( π , λ ) λ + 1 λ 0 π K ( t ) c ( t , λ ) d t ,

(2.4) η 2 ( λ ) = c ( π , λ ) + ω s ( π , λ ) λ + 1 λ 0 π N ( t ) s ( t , λ ) d t ,

where K , N L 2 ( 0 , π ) . The pair of functions { K , N } is called the Cauchy data of the potential q. Consider the following auxiliary inverse problem.

Inverse Problem 2.1

Given the Cauchy data { K , N } and the number ω, find the potential q.

Using the Cauchy data { K , N } and ω, one can easily construct the Weyl function M ( λ ) η 2 ( λ ) η 1 ( λ ) . It is well known that the potential q can be uniquely recovered from the Weyl function, e.g., by the method of spectral mappings (see [4,38,39]).

Proceed to solution of Inverse Problem 1.1. Substituting (2.3) and (2.4) into (2.1), we get

(2.5) λ Δ ( λ ) = f 1 ( λ ) ( λ c ( π , λ ) + ω s ( π , λ ) + 0 π N ( t ) s ( t , λ ) d t ) + f 2 ( λ ) ( s ( π , λ ) ω c ( π , λ ) + 0 π K ( t ) c ( t , λ ) d t ) .

Introduce the complex Hilbert space of vector functions:

L 2 ( 0 , π ) L 2 ( 0 , π ) = { h = [ h 1 , h 2 ] : h j L 2 ( 0 , π ) , j = 1 , 2 }

with the following scalar product and the norm:

( g , h ) 0 π ( g 1 ( t ) ¯ h 1 ( t ) + g 2 ( t ) ¯ h 2 ( t ) ) d t , h = ( h , h ) , g , h , g = [ g 1 , g 2 ] , h = [ h 1 , h 2 ] .

Define the vector functions

(2.6) u ( t ) [ N ( t ) ¯ , K ( t ) ¯ ] , v ( t , λ ) [ f 1 ( λ ) s ( t , λ ) , f 2 ( λ ) c ( t , λ ) ] .

Clearly, u ( ) and v ν ( , λ ) for each fixed λ and ν 0 belong to . In view of our notations, relation (2.5) can be rewritten in the form

(2.7) ( u ( t ) , v ( t , λ ) ) = λ Δ ( λ ) + w ( λ ) , w ( λ ) f 1 ( λ ) ( λ c ( π , λ ) + ω s ( π , λ ) ) f 2 ( λ ) ( s ( π , λ ) ω c ( π , λ ) ) ,

where t is the variable of integration in the scalar product. Since

(2.8) ( λ Δ ( λ ) ) | λ = λ n ν = 0 , n I , ν = 0 , m n 1 ¯ ,

we get

(2.9) ( u ( t ) , v ν ( t , λ n ) ) = w ν ( λ n ) , n I , ν = 0 , m n 1 ¯ .

Denote

(2.10) v n + ν ( t ) v ν ( t , λ n ) , w n + ν w ν ( λ n ) , n I , ν = 0 , m n 1 ¯ , n + ν 1 ,

(2.11) v 0 ( t ) [ 0 , 1 ] , w 0 ω .

Finally, we get

(2.12) ( u , v n ) = w n , n 0 .

Relation (2.12) for n 1 follows from (2.9). For n = 0 , (2.12) follows from (2.3), since S ( π , λ ) is analytical at λ = 0 . In view of (2.6), (2.7), (2.10) and (2.11), the vector functions { v n } n = 0 and the numbers { w n } n = 0 can be constructed by the given data of Inverse Problem 1.1. The components of u can help to find the unknown potential q.

Introduce the following conditions.

(Complete) The sequence { v n } n = 0 is complete in .

(Basis) The sequence { v n } n = 0 is an unconditional basis in .

Indeed, (Basis) implies (Complete).

Along with the problem L ( q ) , we consider the problem L ( q ˜ ) of the form (1.1)–(1.2) with another potential q ˜ L 2 ( 0 , π ) . The functions f j ( λ ) , j = 1 , 2 , are the same for these two problems. We agree that, if a certain symbol γ denotes an object related to L ( q ) , the symbol γ ˜ with tilde denotes the analogous object related to L ( q ˜ ) . Now we are ready to formulate the uniqueness theorem for Inverse Problem 1.1.

Theorem 2.2

Let { λ n } n = 1 and { λ ˜ n } n = 1 be subspectra of the problems L ( q ) and L ( q ˜ ) , respectively. Suppose that L ( q ) and { λ n } n = 0 satisfy the condition (Complete), and let λ n = λ ˜ n , n 1 , ω = ω ˜ . Then, q = q ˜ in L 2 ( 0 , π ) .

The following theorem asserts that the condition (Complete) is not only sufficient but also necessary for uniqueness of solution of Inverse Problem 1.1.

Theorem 2.3

Let { λ n } n = 1 be a subspectrum of the problem L ( q ) . Suppose that the sequence { v n } n = 0 is incomplete in . Then, there exists a complex-valued function q ˜ L 2 ( 0 , π ) , q ˜ q such that ω = ω ˜ and { λ n } n = 1 is a subspectrum of L ( q ˜ ) .

Suppose that the condition (Basis) holds. Then one can constructively solve Inverse Problem 1.1, by using the following algorithm.

Algorithm 2.4

Let eigenvalues { λ n } n = 1 and the number ω be given. We need to find the potential q.

  1. Using f j ( λ ) , j = 1 , 2 , { λ n } n = 0 and ω , construct the vector functions { v n } n = 0 and the numbers { w n } n = 0 via (2.6), (2.7), (2.10) and (2.11).

  2. For the basis { v n } n = 0 , find the biorthonormal basis { v n } n = 0 , i.e., ( v n , v k ) = δ n k , n , k 0 , where δ n k is the Kronecker delta.

  3. Construct the element u , satisfying (2.12), by the formula

    u = n = 0 w n ¯ v n .

  4. Using the components of u ( t ) = [ N ( t ) ¯ , K ( t ) ¯ ] , solve Inverse Problem 2.1 and find q.

In certain applications, it can be difficult to check the conditions (Complete) and (Basis). Therefore, we introduce some other conditions, sufficient for uniqueness and for constructive solution of Inverse Problem 1.1.

(Complete2) The sequence { c ν ( t , λ n ) } n I , ν = 0 , m n 1 ¯ is complete in L 2 ( 0 , 2 π ) .

(Basis2) The sequence { c ν ( t , λ n ) } n I , ν = 0 , m n 1 ¯ is a Riesz basis in L 2 ( 0 , 2 π ) .

(Separation) For every n 0 , we have f 1 ( λ n ) 0 or f 2 ( λ n ) 0 .

(Simple) There exists an integer n 0 such that m n = 1 and λ n 0 for n n 0 .

(Asymptotics) Im ρ n = O ( 1 ) , n and { ρ n 1 } n n 0 l 2 , where ρ n λ n , arg ρ n [ π 2 , π 2 ) .

These conditions are natural for applications, such as the Hochstadt-Lieberman problem (see Section 4), transmission inverse eigenvalue problem, inverse problems for quantum graphs (see [37, Section 4]), etc.

Theorem 2.5

(i) (Separation) and (Complete2) together imply (Complete); (ii) (Separation), (Simple), (Asymptotics) and (Basis2) together imply (Basis).

Thus, one can change the condition (Complete) in Theorem 2.2 to (Separation) and (Complete2) and the condition (Basis) in Algorithm 2.4 to (Separation), (Simple), (Asymptotics) and (Basis2). Those results remain valid.

The condition (Separation) plays an important role for investigation of Inverse Problem 1.1. If this condition is violated, i.e., f 1 ( λ n ) = f 2 ( λ n ) = 0 for some n, then, in view of (2.1), the eigenvalue λ n carries no information on the potential q. It is easy to check, that (Separation) follows from (Basis), so (Separation) is implicitly required in our constructive solution of the inverse problem. However, (Separation) is not necessary for the uniqueness theorem. The uniqueness holds even if the subspectrum { λ n } n = 1 contains unnecessary eigenvalues. The only condition required for the uniqueness is (Complete). It is worth mentioning that this condition and Theorem 2.2 do not hold for polynomial functions f j ( λ ) , j = 1 , 2 . In the case of polynomials, one spectrum is insufficient for recovering the potential, one needs additional data (see, e.g., [11]).

Surely, it seems natural to exclude the common zeros of the functions f 1 ( λ ) and f 2 ( λ ) from consideration and to assume that these functions are relatively prime. However, this approach is inconvenient for some applications, e.g., for partial inverse problems for differential operators on graphs (see [27,37]). For the problem considered in [37, Section 4], the functions f 1 ( λ ) and f 2 ( λ ) may have an arbitrary number (finite or infinite) of common zeros. If we initially exclude those zeros, then it will be very complicated to obtain estimates for f j ( λ ) , j = 1 , 2 , that are important for investigating local solvability and stability of the inverse problem. Therefore, we suppose that the functions f 1 ( λ ) and f 2 ( λ ) may have common zeros, but these zeros do not coincide with the given eigenvalues { λ n } n = 1 in a discussion of the constructive solution.

3 Proofs

The aim of this section is to prove Theorems 2.2, 2.3 and 2.5.

Proof of Theorem 2.2

Suppose that the problems L ( q ) , L ( q ˜ ) and their subspectra { λ n } n = 1 , { λ ˜ n } n = 1 satisfy the conditions of Theorem 2.2. By virtue of definitions (2.6), (2.7), (2.10) and (2.11), we have v n = v ˜ n in and w n = w ˜ n for all n 0 . Hence, relation (2.12) for L ˜ has the form

(3.1) ( u ˜ , v n ) = w n , n 0 .

Subtracting (3.1) from (2.12) and using the completeness of the sequence { v n } n = 0 , we get u = u ˜ in , i.e., K = K ˜ , N = N ˜ in L 2 ( 0 , π ) . Using the uniqueness of Inverse Problem 2.1 solution, we conclude that q = q ˜ in L 2 ( 0 , π ) .□

Proof of Theorem 2.3

Let the problem L ( q ) and the subspectrum { λ n } n = 1 be such that the sequence { v n } n = 0 is incomplete in . Then, there exists u ˆ , u ˆ 0 , such that

(3.2) ( u ˆ , v n ) = 0 , n 0 .

Since relation (3.2) is linear by u ˆ , one can choose u ˆ satisfying the estimate u ˆ ε for ε from Theorem 6.1. Set u [ N ( t ) ¯ , K ( t ) ¯ ] , u ˜ u + u ˆ = [ N ˜ ( t ) ¯ , K ˜ ( t ) ¯ ] and u ˜ u . By Theorem 6.1, there exists q ˜ L 2 ( 0 , π ) such that ω = ω ˜ and { K ˜ , N ˜ } are the Cauchy data of q ˜ . Define the functions

η ˜ 1 ( λ ) s ( π , λ ) λ ω c ( π , λ ) λ + 1 λ 0 π K ˜ ( t ) c ( t , λ ) d t , η ˜ 2 ( λ ) c ( π , λ ) + ω s ( π , λ ) λ + 1 λ 0 π N ˜ ( t ) s ( t , λ ) d t , Δ ˜ ( λ ) f 1 ( λ ) η ˜ 2 ( λ ) + f 2 ( λ ) η ˜ 1 ( λ ) .

Clearly, Δ ˜ ( λ ) is the characteristic function of L ( q ˜ ) . Relations (2.12) and (3.2) yield (3.1). Consequently, the function λ Δ ˜ ( λ ) has zeros { λ n } n I of the corresponding multiplicities { m n } n I . Thus, { λ n } n = 1 is a subspectrum of L ( q ˜ ) , q ˜ q .□

In order to prove Theorem 2.5, we need several auxiliary lemmas.

Lemma 3.1

Suppose that (Separation) is fulfilled. Then, there exist coefficients { C n , k } such that the following relations hold:

(3.3) η j ν ( λ n ) = ( 1 ) j 1 k = 0 ν C n , k f j ν k , j = 1 , 2 ,

for n I \ { 0 } , ν = 0 , m n 1 ¯ and for n = 0 , ν = 0 , m 0 2 ¯ .

Proof

Fix n I \ { 0 } . Relation (2.1) can be rewritten in the form

(3.4) η 1 ( λ ) f 2 ( λ ) + η 2 ( λ ) f 1 ( λ ) = Δ ( λ ) .

The condition (Separation) and the relation Δ ( λ n ) = 0 imply that

[ η 1 ( λ n ) , η 2 ( λ n ) ] = C n , 0 [ f 1 ( λ n ) , f 2 ( λ n ) ] ,

where C n , 0 is a nonzero constant, i.e., relation (3.3) holds for ν = 0 .

Let us prove (3.4) for ν = 1 , m n 1 ¯ by induction. Assume that (3.3) is already proved for η j k ( λ n ) , k = 0 , ν 1 ¯ , j = 1 , 2 . Using (3.4) and the relation Δ ν ( λ n ) = 0 , we get

( η 1 f 2 ) ν ( λ n ) = ( η 2 f 1 ) ν ( λ n ) .

Differentiation of the products yields

k = 0 ν η 1 k f 2 ν k = k = 0 ν η 2 k f 1 ν k .

Here and below the arguments ( λ n ) are omitted for brevity. Using (3.3) for η j k , k = 0 , ν 1 ¯ , we obtain

η 1 ν f 2 + k = 0 ν 1 j = 0 k C n , j f 1 k j f 2 ν k = η 2 ν f 1 + k = 0 ν 1 j = 0 k C n , j f 2 k j f 1 ν k .

Calculations show that

η 1 ν f 2 + η 2 ν f 1 = j = 0 ν 1 C n , j k = j ν 1 ( f 2 k j f 1 ν k f 2 ν k ) = j = 0 ν 1 C n , j ( s = 0 ν j 1 f 2 s f 1 ν j s s = 1 ν j f 2 s f 1 ν j s ) = j = 0 ν 1 C n , j ( f 2 f 1 ν j f 2 ν j f 1 ) .

Hence,

f 2 ( η 1 ν j = 0 ν 1 C n , j f 1 ν j ) = f 1 ( η 2 ν + j = 0 ν 1 C n , j f 2 ν j ) .

In view of (Separation), f 1 0 or f 2 0 . Consequently, there exists the constant C n , ν such that

η i ν + ( 1 ) i j = 0 ν 1 C n , j f i ν j = ( 1 ) i C n , ν f i , i = 1 , 2 .

Thus, relation (3.3) is proved for n I \ { 0 } , ν = 0 , m n 1 ¯ . Obviously, the arguments above are also valid for n = 0 , ν = 0 , m 0 2 ¯ .□

Introduce the vector functions

(3.5) g ( t , λ ) [ η 1 ( λ ) s ( t , λ ) , η 2 ( λ ) c ( t , λ ) ] , g 0 ( t ) = [ 0 , 1 ] , g n + ν ( t ) g ν ( t , λ n ) , n I , ν = 0 , m n 1 ¯ , n + ν 1 .

Lemma 3.2

The sequence { v n } n = 0 is complete in if and only if so does { u n } n = 0 .

Proof

Let an element h = [ h 1 ¯ , h 2 ¯ ] be such that

(3.6) ( h , v n ) = 0 , n 0 .

Definitions (2.6), (2.10) and (2.11) imply that

(3.7) V ν ( λ n ) = 0 , n I , ν = 0 , m n 1 ¯ ,

where

V ( λ ) 0 π ( h 1 ( t ) f 1 ( λ ) s ( t , λ ) + h 2 ( t ) f 2 ( λ ) c ( t , λ ) ) d t .

Obviously,

(3.8) V ν ( λ n ) = k = 0 ν 0 π ( h 1 ( t ) f 1 k ( λ n ) s ν k ( t , λ n ) + h 2 ( t ) f 2 k ( λ n ) c ν k ( t , λ n ) ) d t .

Consider the function

(3.9) G ( λ ) 0 π ( h 1 ( t ) η 1 ( λ ) s ( t , λ ) h 2 ( t ) η 2 ( λ ) c ( t , λ ) ) d t .

Let us show that

(3.10) G ν ( λ n ) = 0 , n I , ν = 0 , m n 1 ¯ .

Using Lemma 3.1, (3.7) and (3.8), we derive

G ν ( λ n ) = k = 0 ν 0 π ( h 1 ( t ) η 1 k ( λ n ) s ν k ( t , λ n ) h 2 ( t ) η 2 k ( λ n ) c ν k ( t , λ n ) ) d t = k = 0 ν j = 0 k C n , j 0 π ( h 1 ( t ) f 1 k j ( λ n ) s ν k ( t , λ n ) + h 2 ( t ) f 2 k j ( λ n ) c ν k ( t , λ n ) ) d t = l = 0 ν C n , ν l j = 0 l 0 π ( h 1 ( t ) f 1 j ( λ n ) s l j ( t , λ n ) + h 2 ( t ) f 2 j ( λ n ) c l j ( t , λ n ) ) d t = l = 0 ν C n , ν l V l ( λ n ) = 0 ,

for all n I , ν = 0 , m n 1 ¯ , except for ( n , ν ) = ( 0 , m 0 1 ) . Let us consider the case ( n , ν ) = ( 0 , m 0 1 ) separately. Note that

(3.11) 0 π ( h 1 ( t ) f 1 ν ( 0 ) s ( t , 0 ) + h 2 ( t ) f 2 ν ( 0 ) c ( t , 0 ) ) d t = f 2 ν ( 0 ) 0 π h 2 ( t ) d t = 0 , ν = 0 , m 0 1 ¯ ,

since s ( t , 0 ) = 0 , c ( t , 0 ) = 1 , v 0 = [ 0 , 1 ] and (3.6) holds for n = 0 . Combining (3.7), (3.8) and (3.11), we obtain

V ν ( 0 ) = k = 0 ν 1 ( h 1 ( t ) f 1 k ( 0 ) s ν k ( t , 0 ) + h 2 ( t ) f 2 k ( 0 ) c ν k ( t , 0 ) ) d t = 0 , ν = 0 , m 0 1 ¯ .

By using analogous ideas and Lemma 3.1, we derive

G ν ( 0 ) = k = 0 ν 1 ( h 1 ( t ) η 1 k ( 0 ) s ν k ( t , 0 ) h 2 ( t ) η 2 k ( 0 ) c ν k ( t , 0 ) ) d t = k = 0 ν 1 j = 0 k C n , j 0 π ( h 1 ( t ) f 1 k j ( 0 ) s ν k ( t , 0 ) + h 2 ( t ) f 2 k j ( 0 ) c ν k ( t , 0 ) ) d t = j = 0 ν 1 C n , j l = 0 ν j 1 0 π ( h 1 ( t ) f 1 l ( 0 ) s ν l j ( t , 0 ) + h 2 ( t ) f 2 l ( 0 ) c ν l j ( t , 0 ) ) d t = j = 0 ν 1 C n , j V ν j ( 0 ) = 0 , ν = 0 , m 0 1 ¯ .

In particular, (3.10) holds for n = 0 , ν = m 0 1 .

Relations (3.9) and (3.10) yield

(3.12) ( h , g n ) = 0 , n 0 .

Thus, we have shown that (3.12) follows from (3.6). It can be proved similarly that (3.6) follows from (3.12). Therefore, the completeness of the sequence { v n } n = 0 is equivalent to the completeness of the sequence { g n } n = 0 .□

Furthermore, we need two auxiliary propositions. Proposition 3.3 is proved in Appendix of [41].

Proposition 3.3

Let { θ n } n = 0 be a sequence of complex numbers, satisfying the asymptotic formula

(3.13) θ n = π n a + ϰ n , { ϰ n } l 2 , a > 0 .

Define

(3.14) μ n # { k 0 : θ k = θ n } , J { n 0 : θ n θ k , k : 0 k < n } .

Then, the sequence { c ν ( t , θ n ) } n J , ν = 0 , μ n 1 ¯ is a Riesz basis in L 2 ( 0 , a ) .

Proposition 3.4

Let G ( λ ) be an entire function, satisfying the conditions:

| G ( ρ 2 ) | C exp ( | Im ρ | a ) , λ , | G ( ρ 2 ) | 2 d ρ < .

for some positive constants C and a. Let { λ n } n = 0 be arbitrary complex numbers, and let the set I and the multiplicities { m n } n = 0 be defined by (2.2). Suppose that

G ν ( λ n ) = 0 , n I , ν = 0 , m n 1 ¯ ,

and the sequence { c ν ( t , λ n ) } n I , ν = 0 , m n 1 ¯ is complete in L 2 (0, a ) . Then, G ( λ ) 0 .

Proof

By the Paley-Wiener Theorem, the function G can be represented in the form

(3.15) G ( ρ 2 ) = 0 a r ( t ) cos ( ρ t ) d t , r L 2 ( 0 , 2 π ) .

Differentiating (3.15), we get

G ν ( λ n ) = 0 a r ( t ) c ν ( t , λ n ) d t = 0 , n I , ν = 0 , m n 1 ¯ .

Since the sequence { c ν ( t , λ n ) } n I , ν = 0 , m n 1 ¯ is complete in L 2 (0, a ) , we have r = 0 in L 2 (0, a ) , so G ( λ ) 0 .□

Proof of Theorem 2.5(i)

Suppose that the conditions (Separation) and (Complete2) are fulfilled. Let us show that these two conditions imply the completeness of the sequence { g n } n = 0 . Let h be such that (3.12) is valid. We have to show that h = 0 . Consider the function G ( λ ) defined by (3.9). Relation (3.12) implies (3.10). In view of (2.3), (2.4), (3.9), (3.10) and (Complete2), the conditions of Proposition 3.4 are fulfilled for a = 2 π . Therefore, G ( λ ) 0 , i.e.,

(3.16) 0 π ( h 1 ( t ) η 1 ( λ ) s ( t , λ ) h 2 ( t ) η 2 ( λ ) c ( t , λ ) ) d t 0 .

By virtue of Proposition 6.2, η 1 ( λ ) has a countable set of zeros { θ n } n = 1 , counted with their multiplicities and satisfying the asymptotic formula (3.13) with a = π . Add the value θ 0 = 0 . Define the set J and the multiplicities { μ n } n J by (3.14). It follows from (3.16) that

(3.17) ( 0 π h 2 ( t ) η 2 ( λ ) c ( t , λ ) d t ) | λ = θ n ν = 0 , n J , ν = 0 , μ n 1 ¯ .

Note that η 2 ( θ n ) 0 , n 1 . (Otherwise, we have S ( π , θ n ) = S ( π , θ n ) = 0 . Together with equation (1.1), this yields the relation S ( x , λ ) 0 , which is wrong). Consequently, using (3.17) and the equality 0 π h 2 ( t ) d t = 0 , we obtain

0 π h 2 ( t ) c ν ( t , θ n ) = 0 , n J , ν = 0 , μ n 1 ¯ .

According to Proposition 3.3, the sequence { c ν ( t , θ n ) } n J , ν = 0 , μ n 1 ¯ is complete in L 2 (0,  π ) . Hence, h 2 = 0 in L 2 ( 0 , π ) . Returning to (3.16), we easily conclude that also h 1 = 0 in L 2 ( 0 , π ) .

Thus, we have shown that (3.12) implies h = 0 in , so the sequence { g n } n = 0 is complete in . By Lemma 3.2, the sequence { v n } n = 0 is also complete in under the assumptions of the theorem.□

Lemma 3.5

Let { τ n } n 0 be arbitrary complex numbers such that τ n τ k and τ n τ k ¯ for all n k , n , k 0 . Suppose that the sequence { cos ( τ n t ) } n = 0 is a Riesz basis in L 2 ( 0 , 2 π ) . Then, the sequence { g n 0 } n = 0 is a Riesz basis in , where

(3.18) g n 0 ( t ) [ sin ( τ n π ) sin ( τ n t ) , cos ( τ n π ) cos ( τ n t ) ] .

Proof

In view of [42, Theorem 3.6.6], for the sequence { g n 0 } n = 0 to be a Riesz basis in , it is sufficient to be complete in and to satisfy the two-side inequality

(3.19) M 1 n = 0 N 0 | b n | 2 n = 0 N 0 b n g n 0 2 M 2 n = 0 N 0 | b n | 2

for every sequence { b n } n = 0 , every integer N 0 0 and some fixed positive constants M 1 and M 2 , independent of { b n } and N 0 .

First, we show that the sequence { g n 0 } n = 0 is complete in . Let h = [ h 1 ¯ , h 2 ¯ ] be such that ( h , g n 0 ) = 0 for all n 0 . It means that the function

G 0 ( λ ) 0 π ( h 1 ( t ) sin ( λ π ) sin ( λ t ) h 2 ( t ) cos ( λ π ) cos ( λ t ) ) d t

has zeros { τ n 2 } n 0 . Applying Proposition 3.4, we conclude that G 0 ( λ ) 0 . Then, one can easily show that h 1 = h 2 = 0 in L 2 ( 0 , π ) , so { g n 0 } n = 0 is complete.

Second, we prove the two-side inequality (3.19). Calculations show that

( g n 0 , g k 0 ) = 0 π ( sin ( τ n ¯ π ) sin ( τ n ¯ t ) sin ( τ k π ) sin ( τ k t ) + cos ( τ n ¯ π ) cos ( τ n ¯ t ) cos ( τ k π ) cos ( τ k t ) ) d t = sin ( 2 ( τ n ¯ τ k ) π ) 2 ( τ n ¯ τ k ) = 0 2 π cos ( τ n ¯ t ) cos ( τ k t ) d t .

Hence,

n = 0 N 0 b n g n 0 = n = 0 N 0 k = 0 N 0 b n ¯ b k ( g n 0 , g k 0 ) = n = 0 N 0 b n cos ( τ n t ) L 2 ( 0 , 2 π ) .

Since the sequence { cos ( τ n t ) } n = 0 is a Riesz basis in L 2 ( 0 , 2 π ) , the two-side inequality similar to (3.19) is valid for this sequence. Consequently, inequality (3.19) is also valid for { g n 0 } n = 0 , so { g n 0 } n = 0 is a Riesz basis in .□

Proof of Theorem 2.5(ii)

Suppose that the conditions (Separation), (Simple), (Asymptotics) and (Basis2) are fulfilled. First, let us show that { g n } n = 0 is a Riesz basis in . Since (Basis2) implies (Complete2), the conditions of Theorem 2.5(i) hold, so the sequence { g n } n = 0 is complete in according to the previous proof. Substituting (2.3) and (2.4) into (3.5), we get

g ( t , ρ 2 ) = [ sin ( ρ π ) sin ( ρ t ) , cos ( ρ π ) cos ( ρ t ) ] + O ( ρ 1 exp ( 2 | Im ρ | π ) ) , | ρ | .

Substituting ρ = ρ n into the latter relation and taking the conditions (Simple) and (Asymptotics) into account, we conclude that { g n g n 0 } n 0 l 2 , where g n 0 is defined by (3.18) for n 0 . Here, τ n = ρ n for n n 0 and { τ n } n = 0 n 0 1 are arbitrary complex numbers, such that τ n τ k and τ n τ k ¯ for all n k , n , k 0 . Thus, the sequence { τ n } n 0 satisfies the conditions of Lemma 3.5. The Riesz-basis property of the sequence { cos ( τ n t ) } n = 0 follows from (Basis2). Applying Lemma 3.5, we conclude that { g n 0 } n = 0 is a Riesz basis in . Thus, the sequence { g n } n = 0 is complete and l 2 -close to the Riesz basis { g n 0 } n = 0 in . Hence, { g n } n = 0 is also a Riesz basis.

Second, let us show that the Riesz-basis property of { g n } n = 0 implies that { v n } n = 0 is an unconditional basis in , i.e., the normalized sequence { v n / v n } n = 0 is a Riesz basis. By Lemma 3.2, the sequence { v n } n = 0 is complete in . Recall that, by (Simple), the eigenvalues { λ n } are simple for sufficiently large n. Therefore, by Lemma 3.1, we have g n = k n v n , n n 0 , where { k n } n n 0 are nonzero constants. This fact together with the completeness of { v n } n = 0 yields the claim.□

4 Hochstadt-Lieberman problem

In this section, we show one of the applications of our main results. Consider the following eigenvalue problem:

(4.1) y ( x ) + q ( x ) y ( x ) = λ y ( x ) , x ( 0 , 2 π ) ,

(4.2) y ( 0 ) = y ( 2 π ) = 0 ,

with a complex-valued potential q L 2 ( 0 , 2 π ) . Denote by { λ n } n = 1 the eigenvalues of problems (4.1)–(4.2), counted with their multiplicities and numbered according to their asymptotics

(4.3) λ n = n 2 + Ω π n + o ( n 1 ) , n ,

where Ω 1 2 0 2 π q ( x ) d x .

The Hochstadt-Lieberman problem, also called the half-inverse problem, is formulated as follows.

Inverse Problem 4.1

Suppose that the potential q ( x ) is known a priori for x ( π , 2 π ) . Given the spectrum { λ n } n = 1 (counting with multiplicities), find the potential q ( x ) for x ( 0 , π ) .

Inverse Problem 4.1 and its generalizations were studied in [15,18,36,40,43,44,45] and other studies. In this section, we show that this problem can be treated as a special case of Inverse Problem 1.1.

Denote by S ( x , λ ) and ψ ( x , λ ) the solutions of equation (4.1), satisfying the initial conditions S ( 0 , λ ) = 0 , S ( 0 , λ ) = 1 , ψ ( 2 π , λ ) = 0 and ψ ( 2 π , λ ) = 1 . The eigenvalues of problem (4.1)–(4.2) coincide with the zeros of the characteristic function

(4.4) Δ ( λ ) = ψ ( π , λ ) S ( π , λ ) ψ ( π , λ ) S ( π , λ ) .

Comparing (4.4) with (2.1), we conclude that the eigenvalue problem (4.1)–(4.2) is equivalent to (1.1)–(1.2) with

(4.5) f 1 ( λ ) ψ ( π , λ ) , f 2 ( λ ) ψ ( π , λ ) .

Note that these functions f j ( λ ) , j = 1 , 2 , are entire in the λ-plane, and they can be constructed by the known part of the potential q ( x ) , x ( π , 2 π ) . The constant ω can also be easily determined by the given data of Inverse Problem 4.1. Indeed, we have

ω = 1 2 0 π q ( x ) d x = Ω 1 2 π 2 π q ( x ) d x ,

and the constant Ω can be found from the eigenvalue asymptotics (4.3). Thus, Inverse Problem 4.1 is reduced to Inverse Problem 1.1 by the whole spectrum { λ n } n = 1 of (4.1)–(4.2).

Proposition 4.2

Let f j ( λ ) , j = 1 , 2 , be entire functions defined by (4.5), and let { λ n } n = 1 be the eigenvalues of problem (4.1)–(4.2) counted with their multiplicities, λ 0 0 . Then, the conditions (Basis2), (Separation), (Simple) and (Asymptotics) are fulfilled.

Proof

The condition (Basis2) follows from asymptotics (4.3) and Proposition 3.3. (Separation) is fulfilled, because the functions ψ ( π , λ ) and ψ ( π , λ ) do not have common zeros. Indeed, if ψ ( π , μ ) = ψ ( π , μ ) = 0 for some μ , then ψ ( x , μ ) is the solution of the initial value problem for equation (4.1) with the zero conditions at x = π . Then ψ ( x , μ ) 0 , which is impossible. The conditions (Simple) and (Asymptotics) easily follow from the asymptotics (4.3).□

Thus, our main results can be applied to the Hochstadt-Lieberman problem. In particular, Theorem 2.2 implies the following corollary, which generalizes the Hochstadt-Lieberman uniqueness theorem [18] to the case of complex-valued potentials.

Theorem 4.3

Let { λ n } n = 1 and { λ ˜ n } n = 1 be the spectra of the boundary value problems in the form (4.1)–(4.2) for potentials q and q ˜ , respectively. Suppose that q ( x ) = q ˜ ( x ) a.e. on ( π , 2 π ) and λ n = λ ˜ n for all n 1 . Then, q ( x ) = q ˜ ( x ) a.e. on ( 0 , π ) . In other words, the solution of Inverse Problem (4.1) is unique.

Algorithm 2.4 can be used for constructive solution of Inverse Problem 1.1. This algorithm generalizes the methods, developed in parallel by Martinyuk and Pivovarchik [40] and by Buterin [45] for solving the Hochstadt-Lieberman problem.

5 Conclusion

In this article, we began the analysis of Inverse Problem 1.1 for the boundary value problems (1.1) and (1.2) containing arbitrary entire functions in the boundary conditions. We have provided necessary and sufficient conditions for uniqueness of this problem solution. Necessity is contained in Theorem 2.3 and sufficiency in Theorem 2.2. We have developed a constructive algorithm for the inverse problem solution (Algorithm 2.4), based on reduction of Inverse Problem 1.1 to the classical inverse problem by Cauchy data (Inverse Problem 2.1). We have also obtained some simple conditions sufficient for uniqueness and for constructive solution of the inverse problem (see Theorem 2.5). Our results are illustrated by their application to the Hochstadt-Lieberman inverse problem. We continue this research in the sequel paper [37], which is devoted to global solvability, local solvability and stability of Inverse Problem 1.1.

Acknowledgments

This work was supported by Grant 20-31-70005 of the Russian Foundation for Basic Research. The author is grateful to the anonymous referees for their valuable comments.

Appendix: inverse problem by Cauchy data

The goal of this section is to prove the following theorem on local solvability and stability of Inverse Problem 2.1.

Theorem 6.1

Let q be a fixed complex-valued function from L 2 ( 0 , π ) , and let { K , N } be the corresponding Cauchy data. Then, there exists ε > 0 (depending on q) such that, for any functions K ˜ , N ˜ from L 2 ( 0 , π ) satisfying the estimate

(6.1) Ξ max { K K ˜ L 2 ( 0 , π ) , N N ˜ L 2 ( 0 , π ) } ε ,

there exists a unique function q ˜ L 2 ( 0 , π ) such that 0 π ( q ( x ) q ˜ ( x ) ) d x = 0 and { K ˜ , N ˜ } are the Cauchy data for q ˜ . In addition,

(6.2) q q ˜ L 2 ( 0 , π ) C Ξ ,

where the constant C depends only on q and not on { K ˜ , N ˜ } .

Below the symbol C is used for various positive constants. In order to prove Theorem 6.1, we need several auxiliary propositions. Applying the standard approach (see, e.g., [4, Theorem 1.1.3]), based on Rouché’s Theorem, one can easily obtain the following result.

Proposition 6.2

Let K ( t ) be an arbitrary complex-valued function from L 2 ( 0 , π ) . Then, the function η 1 ( λ ) defined by (2.3) has the countable set of zeros { θ n } n = 1 numbered according to their multiplicities so that | θ n | | θ n + 1 | , n , and satisfying the asymptotic formula

(6.3) ν n θ n = n + O ( n 1 ) , n .

In view of the asymptotic formula (6.3), we can find the smallest integer n 1 2 such that the zeros { θ n } are simple for n n 1 and | θ n 1 | > | θ n 1 1 | . Define the contour γ 0 { λ : | λ | = ( | θ n 1 | + | θ n 1 1 | ) / 2 } . Clearly, θ n int γ 0 for n = 1 , n 1 1 ¯ and the eigenvalues { θ n } n = n 1 lie strictly outside γ 0 .

Without loss of generality, we may assume that equal eigenvalues in the sequence { θ n } n = 1 are consecutive. Introduce the notations

S { 1 } { n 2 : λ n λ n 1 } , k n # { k : θ k = θ n } , M ( λ ) η 2 ( λ ) η 1 ( λ ) , M n + ν Res λ = θ n ( λ θ n ) ν M ( λ ) , n S , ν = 0 , k n 1 ¯ .

Below we agree that, if a certain symbol γ denotes an object constructed by { K , N , ω } , then the symbol γ ˜ with tilde denotes the analogous object constructed by { K ˜ , N ˜ , ω } .

Lemma 6.3

Let K, N be fixed complex-valued functions from L 2 ( 0 , π ) , and let ω . Then, there exists ε > 0 (depending on K, N, ω) such that, for any K ˜ , N ˜ L 2 ( 0 , π ) satisfying (6.1), the points { θ ˜ n } n = 1 n 1 1 lie strictly inside γ 0 and

(6.4) max λ γ 0 | M ( λ ) M ˜ ( λ ) | C Ξ .

For n n 1 , we have k ˜ n = 1 and

(6.5) ( n = n 1 ( n ξ n ) 2 ) 1 / 2 C Ξ ,

where ξ n | ν n ν ˜ n | + 1 n 2 | M n M ˜ n | . The constant C in estimates (6.4) and (6.5) depends only on { K , N , ω } .

Proof

Step 1. If the functions K, N, K ˜ , N ˜ and the number ω satisfy the conditions of the lemma for sufficiently small ε > 0 , then (2.3) and (6.1) yield the estimates

(6.6) | η 1 ( λ ) | , | η ˜ 1 ( λ ) | c 0 > 0 , λ γ 0 , | η 1 ( λ ) η ˜ 1 ( λ ) | C Ξ , λ γ 0 .

Consequently, for sufficiently small ε > 0 , we have | η 1 ( λ ) η ˜ 1 ( λ ) | | η 1 ( λ ) | < 1 on γ 0 . By Rouché’s Theorem, the function η ˜ 1 ( λ ) has inside γ 0 the same number of zeros as η 1 ( λ ) . According to our notations, these zeros of η ˜ 1 ( λ ) are { θ ˜ n } n = 1 n 1 1 .

Using (2.3), (6.1) and (6.6), we obtain the estimate (6.4):

| M ( λ ) M ˜ ( λ ) | = | η 2 ( λ ) η ˜ 1 ( λ ) η ˜ 2 ( λ ) η 1 ( λ ) | | η 1 ( λ ) | | η ˜ 1 ( λ ) | C Ξ , λ γ 0 .

Step 2. For n n 1 , consider the contours γ n , r { ρ : | ρ ν n | = r } , where r > 0 is fixed and so small that r | ν n ν n + 1 | 2 , n n 1 . The function η 0 ( ρ 2 ) has exactly one zero ν n int γ n , r in the ρ -plane for every n n 1 . Relations (2.3) and (6.1) yield the estimate

(6.7) | η 1 ( ρ 2 ) | c r n , ρ γ n , r , n n 1 ,

where the constant c r depends on r and not on ρ and n. For sufficiently small ε > 0 , we obtain the estimate

(6.8) | η ˜ 1 ( ρ 2 ) η 1 ( ρ 2 ) | C Ξ n 2 , ρ γ n , r , n n 1 .

Using (6.7) and (6.8) and applying Rouché’s Theorem to the contour γ n , r in the ρ -plane, we conclude that η ˜ 1 ( ρ 2 ) has exactly one zero ν ˜ n int γ n , r for each n n 1 .

Using the Taylor formula

η 1 ( ν ˜ n 2 ) = η 1 ( ν n 2 ) + d d ρ η 1 ( ρ 2 ) | ρ = ζ n ( ν ˜ n ν n ) , ζ n int γ n , r ,

and (2.3), we derive the relation

(6.9) η 1 ( ν ˜ n 2 ) η ˜ 1 ( ν ˜ n 2 ) = 1 ν ˜ n 2 0 π K ˆ ( t ) cos ( ν ˜ n t ) d t = d d ρ η 1 ( ρ 2 ) | ρ = ζ n ( ν ˜ n ν n ) ,

where K ˆ K K ˜ . It is easy to check that

(6.10) | d d ρ η 1 ( ρ 2 ) | C n , ρ int γ n , r , n n 1 .

Using (6.3) and (6.1), we estimate the integral:

(6.11) | 0 π K ˆ ( t ) cos ( ν ˜ n t ) d t | | 0 π K ˆ ( t ) cos ( n t ) d t | + | 0 π K ˆ ( t ) ( cos ( ν ˜ n t ) cos ( n t ) ) d t | | K ˆ n | + C Ξ n , n n 1 , K ˆ n 0 π K ˆ ( t ) cos ( n t ) d t .

Combining (6.9), (6.10) and (6.11), we obtain

(6.12) | ν ˜ n ν n | C | K ˆ n | n + C Ξ n 2 , n n 1 .

Bessel’s inequality for the Fourier coefficients { K ˆ n } and (6.1) imply that

(6.13) ( n = n 1 | K ˆ n | 2 ) 1 / 2 C Ξ .

Combining (6.12) and (6.13), we arrive at the estimate

(6.14) ( n = n 1 n 2 | ν ˜ n ν n | 2 ) 1 / 2 C Ξ .

Step 3. Note that { θ n } n = n 1 are simple poles of M ( λ ) , so

M n = Res λ = θ n M ( λ ) = η 2 ( θ n ) η ̇ 1 ( θ n ) , n n 1 ,

where f ̇ ( λ ) = d d λ f ( λ ) . If ε > 0 is sufficiently small, the analogous relation is valid for M ˜ n , n n 1 . Hence,

(6.15) M ˜ n M n = ( η ˜ 2 η 2 ) η ̇ 1 + η 2 ( η ̇ 1 η ˜ ̇ 1 ) η ̇ 1 η ˜ ̇ 1 | λ = θ n , n n 1 .

Using (6.15) and the following estimates

| η ̇ 1 ( θ n ) | C n 2 , | η ˜ ̇ 1 ( θ n ) | C n 2 , | η ̇ 1 ( θ n ) | C n 2 , | η 2 ( θ n ) | C , | η ˜ 2 ( θ n ) η 2 ( θ n ) | C | N ˆ n | n + C Ξ n 2 , | η ̇ 1 ( θ n ) η ˜ ̇ 1 ( θ n ) | C | L ˆ n | n 3 + C Ξ n 4 , n n 1 ,

where

N ˆ n 0 π N ˆ ( t ) sin ( n t ) d t , N ˆ N N ˜ , L ˆ n 0 π t K ˆ ( t ) sin ( n t ) d t ,

we arrive at the estimate

| M ˜ n M n | C n ( | N ˆ n | + | L ˆ n | ) + C Ξ , n n 1 .

Similar to (6.14), we obtain

(6.16) ( n = n 1 n 2 | M ˜ n M n | 2 ) 1 / 2 C Ξ .

Relations (6.14) and (6.16) together imply (6.5).□

In [39,46], the following inverse problem has been studied.

Inverse Problem 6.4

Given the data { θ n , M n } n = 1 , find q.

Clearly, Inverse Problem 6.4 is equivalent to Inverse Problem 2.1 by the Cauchy data. In addition, one can uniquely construct M ( λ ) by { θ n , M n } n = 1 and vice versa. In [46], the following proposition on local solvability and stability of Inverse Problem 6.4 has been proved.

Proposition 6.5

Let q L 2 ( 0 , π ) be fixed. Then, there exists ε > 0 (depending on q) such that, for any complex numbers { θ ˜ n , M ˜ n } n = 1 satisfying the estimate

Ω max { max λ γ 0 | M ( λ ) M ˜ ( λ ) | , ( n = n 1 ( n ξ n ) 2 ) 1 / 2 } ε ,

there exists the unique complex-valued function q ˜ L 2 ( 0 , π ) being the solution of Inverse Problem 6.4 for { θ ˜ n , M ˜ n } n = 1 . Moreover, estimate (6.2) holds with the constant C depending only on q.

Lemma 6.3 and Proposition 6.5 together imply Theorem 6.1.

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Received: 2020-02-13
Revised: 2020-05-09
Accepted: 2020-05-15
Published Online: 2020-06-10

© 2020 Natalia Pavlovna Bondarenko, published by De Gruyter

This work is licensed under the Creative Commons Attribution 4.0 International License.

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