Inverse Problems for the Quadratic Pencil of the Sturm-Liouville Equations with Impulse
Abstract
In this study some inverse problems for a boundary value problem generated with a quadratic pencil of Sturm-Liouville equations with impulse on a finite interval are considered. Some useful integral representations for the linearly independent solutions of a quadratic pencil of Sturm-Liouville equation have been derived and using these, important spectral properties of the boundary value problem are investigated; the asymptotic formulas for eigenvalues, eigenfunctions, and normalizing numbers are obtained. The uniqueness theorems for the inverse problems of reconstruction of the boundary value problem from the Weyl function, from the spectral data, and from two spectra are proved.
1. Introduction
The theory of inverse problems for differential operators occupies an important position in the current developments of the spectral theory of linear operators. Inverse problems of spectral analysis consist in the recovery of operators from their spectral data. One takes for the main spectral data, for instance, one, two, or more spectra, the spectral function, the spectrum, and the normalizing constants, the Weyl function. Different statements of inverse problems are possible depending on the selected spectral data. The already existing literature on the theory of inverse problems of spectral analysis is abundant. The most comprehensive account of the current state of this theory and its applications can be found in the monographs of Marchenko [1], Levitan [2], Beals et al. [3], and Yurko [4].
Some versions of inverse problems for (1) which is a natural generalization of the Sturm-Liouville equation were fully studied in [6–14]. Namely, the inverse problems for a pencil Lλ on the half axis and the entire axis were considered in [6–8], where the scattering data, the spectral function, and the Weyl function, respectively, were taken for the spectral data. The problem of the recovery of (1) from the spectra of two boundary value problems with certain separated boundary conditions was solved in [9]. The analysis of inverse spectral problems for (1) with other kinds of separated boundary conditions as well as with periodic and antiperiodic boundary conditions was the subject of [10] (see also [11]) where the corresponding results of the monograph [1] were extended to the case p(x) ≠ 0. The inverse periodic problem for the pencil Lλ was solved in [12] using another approach. We also point out the paper [14], in which the uniqueness of the recovery of the pencil Lλ from three spectra was investigated.
Boundary value problems with discontinuities inside the interval often appear in mathematics, physics, and other fields of natural sciences. The inverse problems of reconstructing the material properties of a medium from data collected outside of the medium give solutions to many important problems in engineering and geosciences. For example, in electronics, the problem of constructing parameters of heterogeneous electronic lines is reduced to a discontinuous inverse problem [15, 16]. The reduced mathematical model exhibits the boundary value problem for the equation of type (1) with given spectral information which is described by the desirable amplitude and phase characteristics. Note that the problem of reconstructing the permittivity and conductivity profiles of a one-dimensional discontinuous medium is also closed to the spectral information [17, 18]. Geophysical models for oscillations of the Earth are also reduced to boundary value problems with discontinuity in an interior point [19].
Direct and inverse spectral problems for differential operators without discontinuities have been extensively studied by many authors [20–25]. Some classes of direct and inverse problems for discontinuous boundary value problems in various statements have been considered in [18, 26–32] and other works. Boundary value problems with singularity have been studied in [33–37], and for further discussion see the references therein. Note that the inverse spectral problem for the boundary problem (1)–(3) has never been considered before.
In what follows we denote the boundary value problem (1)–(3) by L(a, α). In Section 2 we derive some integral representations for the linearly independent solutions of (1), and using these, we investigate important spectral properties of the boundary value problem L(a, α). In Section 3 the asymptotic formulas for eigenvalues, eigenfunctions, and normalizing numbers of L(a, α) are obtained. Finally, in Section 4 three inverse problems of reconstructing the boundary value problem L(α, a) from the Weyl function, from the spectral data, and from two spectra are considered and the uniqueness theorems are proved.
2. Integral Representations of Solutions and the Spectral Characteristics
Using the integral equations (6) and standard successive approximation methods [7, 9, 11], the following theorem is proved.
Theorem 1. If , then the solution fν(x, λ) has the form
Then by using Theorem 1, we can formulate the following assertion.
Theorem 2. Let . Then there are the functions A(x, t), B(x, t) whose first order partial derivatives are summable on [0, π] for each x ∈ [0, π] such that the representation
Definition 3. A complex number λ0 is called an eigenvalue of the boundary value problem L(α, a) if (1) with λ = λ0 has a nontrivial solution y0(x) satisfying the boundary conditions (2) and the jump conditions (3). In this case y0(x) is called the eigenfunction of the problem L(α, a) corresponding to the eigenvalue λ0. The number of linearly independent solutions of the problem L(α, a) for a given eigenvalue λ0 is called the multiplicity of λ0.
The following lemmas can be proved analogously to the corresponding assertions in [11].
Lemma 4. The eigenvalues of the boundary value problem L(α, a) are real, nonzero, and simple.
Proof. We define a linear operator L0 in the Hilbert space L2[0, π] as follows. The domain D (L0) consists of all functions satisfying the boundary conditions (2) and the jump conditions (3). For y ∈ D(L0), we set L0y = −y′′ + q(x)y. Integration by part yields
Since condition (17) holds, it follows that (L0y, y) > 0.
Let λ0 be an eigenvalue of the boundary value problem L(α, a) and y0(x) an eigenfunction corresponding to this eigenvalue and normalized by the condition (y0, y0) = 1. By taking the inner product of both sides of the relation by y0(x), we obtain and hence
The desired assertion follows from the last relation by virtue of (L0y0, y0) > 0 with regard to the fact that p(x) is real.
Let us show that λ0 is a simple eigenvalue. Assume that this is not true. Suppose that y1(x) and y2(x) are linearly independent eigenfunctions corresponding to the eigenvalue λ0. Then for a given value of λ0, each solution y0(x) of (1) will be given as linear combination of solutions y1(x) and y2(x). Moreover it will satisfy boundary conditions (2) and discontinuity conditions (3). However, it is impossible.
Proof. Let y0(x) be an eigenfunction corresponding to eigenvalue λ0 and normalized by the condition (y0, y0) = 1 of the problem (1)–(3). Suppose that y1(x) is an associated function of eigenfunction y0(x), that is, the following equalities hold:
If these equations are multiplied by y1(x) and y0(x), respectively, as inner product, subtracting them side by side and taking into our account that operator L0 is symmetric, the function p(x) and λ0 are real, we get λ0 = (py0, y0). Due to the condition (6), λ0 = (py0, y0) does not agree with (19′). Therefore, the assertion is not true.
Lemma 6. Eigenfunctions corresponding to different eigenvalues of the problem L(α, a) are orthogonal in the sense of the equality
3. Properties of the Spectrum
In this section we investigate some spectral properties of the boundary value problem L(α, a).
Let ψ(x, λ) be a solution of (1) with the conditions ψ(π, λ) = 0, ψ′(π, λ) = 1 and the jump conditions (3). It is clear that function ψ(x, λ) is entire in λ for each fixed x.
Denote Δ(λ) = 〈ψ(x, λ), φ(x, λ)〉, where 〈y, z〉 : = y′z − yz′. By virtue of Liouville′s formula, the Wronskian 〈ψ(x, λ), φ(x, λ)〉 does not depend on x. The function Δ(λ) is called the characteristic function of L(α, a). Obviously, the function Δ(λ) is entire in λ and it has at most a countable set of zeros {λn}.
Lemma 8. The zeros {λn} of the characteristic function Δ(λ) coincide with the eigenvalues of the boundary value problem L(α, a). The functions φ(x, λn) and ψ(x, λn) are eigenfunctions corresponding to the eigenvalue λn, and there exists a sequence {βn} such that
Proof. Let Δ(λ0) = 0. Then by virtue of 〈ψ(x, λ0), φ(x, λ0)〉 = 0, φ(x, λ0) = Cψ(x, λ0) for some constant C. Hence λ0 is an eigenvalue and φ(x, λ0), ψ(x, λ0) are eigenfunctions related to λ0.
Conversely, let λ0 be an eigenvalue of L(α, a), show that Δ(λ0) = 0. Assuming the converse suppose that Δ(λ0) ≠ 0. In this case the functions φ(x, λ0) and ψ(x, λ0) are linearly independent. Then y (x, λ0) = c1φ(x, λ0) + c2ψ(x, λ0) is a general solution of the problem L(α, a). If c1 ≠ 0, we can write
Note that we have also proved that for each eigenvalue there exists only one eigenfunction (up to a multiplicative constant). Therefore there exists sequence βn such that ψ(x, λn) = βnφ(x, λn).
The numbers {αn} are called normalized numbers of the boundary value problem L(α, a).
Lemma 9. The equality holds. Here .
Proof. If we differentiate the equalities
By virtue of these equalities we have
If the last equations are integrated from x to π and from 0 to x, respectively, by the discontinuity conditions we obtain
Let Δ0(λ) = α+cos [λπ − β+(π)] + α−cos [λ(2a − π) + β−(π)] and are zeros of Δ0(λ).
Lemma 10. The roots of the characteristic equation Δ0(λ) = 0 are separate, that is
Proof. Let λπ − β+(π) = x. Then, λ(2a − π) + β−(π) = kx + b, where k = (2a − π)/π, b = β+(π)((2a − π)/π) + β−(π). Since a ∈ (π/2, π), then k ∈ (0,1). Using these notations we can rewrite the equation Δ0(λ) = 0 in the following form:
Further assuming (34) not to be true let and be increasing sequences of roots of (35) such that and
Lemma 11. For sufficiently large values of n, one has
Proof. As it is shown in [38], |Δo(λ)| ≥ Cδe|Im λ|π for all , where Cδ > 0 is some constant. On the other hand, since
Lemma 12. The problem L(α, a) has countable set of eigenvalues. If one denotes by λ1, λ2, … the positive eigenvalues arranged in increasing order and by λ−1, λ−2, … the negative eigenvalues arranged in decreasing order, then eigenvalues of the problem L(α, a) have the asymptotic behavior
Proof. According to Lemma 11, if n is a sufficiently large natural number and λ ∈ Γn, we have |Δo(λ)| ≥ Cδe|Im λ|π > (Cδ/2)e|Im λ|π > |Δ(λ) − Δo(λ)|. Applying Rouche′s theorem we conclude that for sufficiently large n inside the contour Γn the functions Δo(λ) and Δo(λ)+{Δ(λ) − Δo(λ)} = Δ(λ) have the same number of zeros counting their multiplicities. That is, there are exactly (n + 1) zeros λ0, λ1, …, λn. in Γn. Analogously, it is shown by Rouche′s theorem that, for sufficiently large values of n, the function Δ(λ) has a unique zero inside each circle . Since δ > 0 is arbitrary, it follows that , where lim n→∞ ɛn = 0. Further according to Δ(λn) = 0, we have
Since , we have
Lemma 13. Normalizing numbers αn of the problem L(α, a) are positive and the formula
4. Inverse Problems
Together with L(α, a), we consider the boundary value problem of the same form but with different coefficients . It is assumed in what follows that if a certain symbol γ denotes an object related to the problem L(α, a), then will denote the corresponding object related to the problem .
In the present section, we investigate some inverse spectral problem of the reconstruction of a boundary value problem L(α, a) of type (1)–(4) from its spectral characteristics. Namely, we consider the inverse problems of reconstruction of the boundary value problem L(α, a) from the Weyl function, from the spectral data {λn, αn} n≥0, and from two spectra {λn, μn} n≥0 and prove that the following two lemmas can be easily obtained from asymptotic behavior (49) of the eigenvalues λn.
Lemma 14. If , then , that is, the sequence {λn} uniquely determines β±(π).
Lemma 15. If , then , that is, the sequence {λn} uniquely determines numbers a and α.
The following theorem shows that the Weyl function uniquely determines the potentials and the coefficients of the boundary value problem L(α, a).
Theorem 16. If , then . Thus, the boundary value problem L(α, a) is uniquely defined by the Weyl function.
Proof. Since
The following two theorems show that two spectra and spectral data also uniquely determine the potentials and the coefficients of the boundary value problem L(α, a).
Theorem 17. If , then .
Proof. It is obvious that characteristic functions Δ(λ) and ψ(0, λ) are uniquely determined by the sequences and , respectively. If , then . It follows from (60) that . Therefore, applying Theorem 16, we conclude that . The proof is completed.
Theorem 18. If , then , that is, spectral data {λn, αn} uniquely determines the problem L(α, a).
Proof. It is obvious that the Weyl function M(λ) is meromorphic with simple poles at points . Using the expression