194
Views
6
CrossRef citations to date
0
Altmetric
Articles

Reconstruction for the spherically symmetric speed of sound from nodal data

, &
Pages 1032-1046 | Received 11 Sep 2011, Accepted 17 Jul 2012, Published online: 14 Aug 2012

Abstract

In this article, we consider the inverse nodal problem for the Sturm–Liouville operator arisen from acoustic scattering problems. We show that a dense subset of nodal points can uniquely determine the potential on the finite interval [0, 1] and coefficient a of the boundary condition and provide a constructive procedure for the solution of the inverse nodal problem. A corollary of this theorem is to reconstruct the spherically symmetric speed of sound on the interval [0, b] for acoustic scattering problems from nodal data.

AMS Subject Classifications::

1. Introduction

Inverse nodal problem is to reconstruct operators from the given nodes (zeros) of their eigenfunctions. In 1988, McLaughlin Citation1 discussed the inverse nodal problem for Sturm–Liouville operators and showed that a dense subset of nodal points of eigenfunctions is sufficient to determine the potential of the Sturm–Liouville operator. Then, Hald and McLaughlin Citation2 gave some numerical schemes for the reconstruction of the potential. Later, one of such inverse nodal problems for Sturm–Liouville operators was considered by numerous authors Citation3–12. And inverse nodal problems for diffusion operators, such as vectorial Sturm–Liouville equations; discontinuous boundary value problems; Dirac operators; Sturm–Liouville equations on graphs, were addressed by many authors Citation13–19. Inverse nodal problem has many applications in mathematics and natural sciences Citation19,Citation20. Browne and Sleeman Citation3 considered the inverse nodal problem for Sturm–Liouville equations with eigenparameter dependent on boundary condition. Later, Panakhov et al. Citation11 discussed the inverse nodal problem for the Sturm–Liouville operator with eigenparameter in one boundary condition. In 2010, Chernozhukova and Freiling Citation21 established a uniqueness theorem for inverse spectral problems depending nonlinearly on the spectral parameter. Then, using the method of spectral mappings, Freiling and Yurko Citation22 addressed the inverse problems for Sturm–Liouville operators with boundary conditions polynomially dependent on the spectral parameter and obtained three uniqueness theorems on the potential q(x) from the Weyl function, or from discrete spectral data or from two spectra and presented constructive procedures for these problems. Later, Yang (C.F.) and Yang (X.P.) Citation12 explored the inverse nodal problem for Sturm–Liouville operators with boundary conditions polynomially dependent on the spectral parameter from nodal points and reconstructed the potential q(x) and coefficient functions of the boundary conditions. Motivated by the above results, in this article, we consider the inverse nodal problem for Sturm–Liouville operators with one boundary condition having transcendental functions on the spectral parameter.

Consider the following Sturm–Liouville operator L: L(q, a) defined by(1) with boundary conditions(2) and(3) where 0 ≤ a < 1 or a > 1, q(x) is a real-valued function and q ∈ L2[0, 1].

Denote the function ω(λ) byClearly, ω(λ) is an entire function of order in λ. λn(n = 1, 2, …) is a zero of ω(λ) = 0, where λn is called as n-th eigenvalue for the Sturm–Liouville operator L(q, a). Since the boundary condition (1.3) is different from the classical boundary condition, inverse spectral problems for the Sturm–Liouville operator L(q, a) can be little discussed. To the best of our knowledge, inverse nodal problem and the trace formula for the Sturm–Liouville operator L(q, a) have not been considered.

In this article, by using the nodal points as data, we discuss the inverse nodal problem for the Sturm–Liouville operator L(q, a). We show that a dense subset of nodal points can uniquely determine the potential q(x) on the interval [0, 1] and coefficient a of the boundary condition and provide a constructive procedure for the solution of the inverse nodal problem. We still establish a uniqueness theorem for the spherically symmetric speed of sound n(r) on the interval [0, b] and present a reconstruction procedure for the spherically symmetric speed of sound n(r). And the oscillation theory for the Sturm–Liouville operator L(q, a) is also obtained, which is a generalization of the classical Sturm–Liouville problem (see Lemma 2.2). We will find the trace formula for the Sturm–Liouville operator L(q, a) in another paper.

Next, we describe the actual background of the Sturm–Liouville operator L(q, a). Acoustic scattering problem was addressed by a number of authors Citation23–27. For this problem, Colton and Monk Citation24 considered the following acoustic scattering Equation (1.4)(4) where Ωb is a ball of radius b in R3, c(x) > 0 (x ∈ R3) is the local speed of sound and satisfies c(x) = c0 > 0 for r = |x| ≥ r0, where c0 is a constant and b ≥ r0. Let n(x) = (c0/c(x))2 and k2 = (ω/c0)2, where ω is the frequency of the incident wave, α is the direction of the incident wave, us(x) is the scattered field and is called as the Sommerfeld radiation condition. us(x) has the following asymptotic formulawhere are the spherical coordinates on the unit sphere ∂Ω in R3, is called as the scattering amplitude. Under some conditions, Equations (1.4) have a classical solution (v, w) Citation23,Citation24. The following homogeneous equations (1.5) were discussed in Citation23,Citation24,Citation27,(5) It is well known that when n(x) = n(r)(r = |x|) radially symmetric, the solution to Equations (1.5) has the formwhere yl is a solution ofwith initial conditionwhere the are spherical harmonics and the jl are Bessel functions.

If the solutions to Equations (1.5) are only radially symmetric, then l = m = 0 andBy virtue of Equations (1.5), this yields(6) (7) (8) Let , z(ξ) = (n(r))1/4y0(r), from (1.6) and (1.7), we get(9) with the boundary condition at 0(10) where(11) Let , in virtue of (1.8) and note that n′(b) = 0, n(b) = 1 and , we obtain(12) Denoting , λ = B2k2, a = b/B, by virtue of (1.9), (1.10) and (1.12), we get the Sturm–Liouville operator L(q, a).

Consider the following Sturm–Liouville operator defined by(13) with boundary conditions (1.2) and(14) where 0 ≤ ã < 1 or ã > 1, is a real-valued function and .

Mclaughlin and Polyakov Citation27 established the following remarkable uniqueness theorem for the original acoustic scattering problem, which is a generalization of the Hochstadt-Lieberman theorem (see Citation28,Citation29).

Theorem 1.1 Citation27, Theorem 1]

Let be real-valued functions in L2[0, 1]. λn(q) (n = 1, 2, …) be the spectrum of the SturmLiouville operator L(q, a) and be the spectrum of the SturmLiouville operator and . Ifandthen .

The following Lemma 1.2 is useful to prove main results.

Lemma 1.2 Citation27, Lemma 2]

Let λn(n = 1, 2, …) be eigenvalues for the SturmLiouville operator L(q, a), then λn is a root of Equation (1.3) and there exists a positive integer i0 such that λn is real for n > i0 and satisfies the following asymptotic estimates:(15) where i0 is integer part of , A = max{eq, (‖q‖ + 1)eq + 1} and C is a constant.

This article is organized as follows. In Section 2, we present main results. In Section 3, the main results for the Sturm–Liouville operator L(q, a) will be proved.

2. Main results

Let s(x, λ) be solution of Equation (1.1) satisfying s(0, λ) = 0, s′(0, λ) = 1, and s(x, λn) be the eigenfunction corresponding to the eigenvalue λn of the Sturm–Liouville operator L(q, a). Let be the nodal points of the eigenfunction s(x, λn), i.e., , where . Denote the nodal interval by and the nodal length of the interval by . Let be the set of nodal points of the Sturm–Liouville operator L(q, a), where j = j(n) may be . For convenience, we still write j instead of j(n) (n sufficiently large).

First, we present asymptotic formulae for eigenvalues λn and zeros of the eigenfunction s(x, λn) of the Sturm–Liouville operator L(q, a) (n sufficiently large), respectively.

Lemma 2.1

For sufficiently large n, qualitative behaviour of eigenvalues for the SturmLiouville operator L(q, a) is as follows:

1.

In the case 0 ≤ a < 1, then(16)

2.

In the case a > 1, then(17)

Lemma 2.2

For sufficiently large n, the eigenfunction s(x, λn) of the SturmLiouville operator L(q, a) has at least nodal points in (0, 1) and

1.

In the case 0 ≤ a < 1,(18)

2.

In the case a > 1,(19) and(20) uniformly with respect to j ∈ Z+, where [x] denotes the largest integer ≤ x.

By virtue of (2.5) in Lemma 2.2, this yields the following corollary:

Corollary 2.3

The set is dense in [0, 1].

Next, the following inverse nodal problem is put forward.

Inverse problem Given a nodal points set or its subset X0 ⊆ X, which is dense in (0, 1), we can find the potential q(x), coefficient a of the boundary condition and the spherically symmetric speed of sound n(r).

Now, main results are presented as follows.

Theorem 2.4

For each x ∈ (0, 1), let and satisfy , Then (2.6–2.10) hold.(21)

1.

In the case 0 ≤ a < 1,(22) and(23)

2.

In the case a > 1,(24) and(25)

According to Theorem 2.4, from the nodal data, we reconstruct the potential q(x) and coefficient a of the boundary condition for the Sturm–Liouville operator L(q, a). We provide a constructive procedure for the solution of the inverse nodal problem for the Sturm–Liouville operator L(q, a).

Theorem 2.5

Let be a subset of the nodal points set X and dense in (0, 1). From the nodal data X0, we can construct the potential q(x) and coefficient a of the boundary condition by the following algorithm:

1.

For each x ∈ (0, 1), we choose a sequence such that .

2.

We calculate(26)

i.

In the case A > 1, we get a = 1 + A.

ii.

In the case 0 < A ≤ 1, we obtain a = 1 − A or a = 1 + A.

iii.

By virtue of (2.8) and (2.10), we calculate f(x) and g(x) in turn, respectively.

iv.

By taking derivatives for (2.8) and (2.10), respectively, we find that the potential q(x) satisfies(27) and(28)

Remark 2.6

When a = 0, the boundary condition (1.3) is z(1, λ) = 0, which do not depend on the spectral parameter λ, Theorem 2.5 was proved by McLaughlin Citation1, when a < 0, Theorem 2.5 is also valid.

By using only the nodal data in the reconstruction algorithm, we can reconstruct the potential q(x) and coefficient a of the boundary condition. Therefore, Theorem 2.7, i.e., a uniqueness theorem on the potential q(x) and coefficient a of the boundary condition obviously holds. Therefore, the proof of Theorem 2.7 is omitted here.

Theorem 2.7

Let be a subset of the nodal set X of the SturmLiouville operator L(q, a), which is dense in (0, 1) and be a subset of the nodal set of the Sturm–Liouville operator , which is dense in (0, 1). If , then(29) and

From Ref. Citation27, x = ξ/B, , , λ = B2k2, a = b/B, , r = r(x)(0 ≤ x ≤ 1) and(30) (31) where b is a constant.

According to Theorem 2.7, by using the nodal points as data, we can also establish the following theorem for reconstruction of the spherically symmetric speed of sound n(r).

Theorem 2.8

Let be a subset of the nodal points set X and dense in (0, 1). Let n(r) ∈ C1(R) be positive function, n″(r) ∈ L2[0, b] and n(b) = 1, n′(b) = 0, . If 0 < b < B and 0 < B < b are given, then the specification of X0 is sufficient to determine the spherically symmetric speed of sound n(r) and n(r) is a solution of Equations (2.15) and (2.16). We can reconstruct the spherically symmetric speed of sound n(r) by the following algorithm:

1.

According to Theorem 2.7, in the case 0 ≤ a < 1 or a > 1, we reconstruct the potential q(x)(x ∈ (0, 1)) and coefficient a of the boundary condition, respectively.

2.

Solving Equations (2.15) and (2.16), we find the spherically symmetric speed of sound n(r) for the acoustic scattering problem.

3. Proofs

In this section, we prove the main results, respectively. First, we show that Lemma 2.1 and Lemma 2.2, respectively, hold, which play an important role in the proofs of the main theorems. Then, the proofs of Theorems 2.4 and 2.5 are presented.

Proof of Lemma 2.1

Let , from Lemma 1.2.1 in Ref. Citation28, p.6] and Lemma 1.2, the solution to Equation (1.1) satisfying s(0, λ) = 0, s′(0, λ) = 1 isandTherefore, we obtainandBy substituting the expressions of s(x, λ) and s′(x, λ) intowe get(32)

1.

In the case 0 ≤ a < 1, in virtue of (3.1), this yields(33)

2.

In the case a > 1, by virtue of (3.1), this yields(34) Thus, this completes the proof of Lemma 2.1.

Next, we prove that the asymptotic formulae (2.3) and (2.4) for the nodal points of eigenfunctions for the Sturm–Liouville operator L(q, a) hold.

Proof of Lemma 2.2

According to Citation30 and Citation31 the eigenfunction s(x, λn) has the following asymptotic formula for n → ∞ in x:Let s(x, λn) = 0, we obtain that the nodal points of the eigenfunction s(x, λn) satisfyBy using Taylor's expansions, we get the following formula for the nodal points as n → ∞ uniformly in j ∈ Z+:This yields(35) By virtue of (2.1), we have the following asymptotic formulae:

1.

In the case 0 ≤ a < 1, then(36) and(37) Substituting (3.5) and (3.6) into (3.4), we obtainHence, the formula (2.3) is valid.

2.

In the case a > 1, similarly we can show that the formula (2.4) holds. By virtue of (2.3) and (2.4), when 0 ≤ a < 1 or a > 1, for n sufficiently large, we get(38) uniformly with respect to j.

From (2.3) and (2.4), for , we have(39) In virtue of (3.8), for sufficiently large n, we can see that the eigenfunction s(x, λn) has at least zeros in the interval (0, 1).

Therefore, the proof of Lemma 2.2 is complete.

Now, we show that Theorem 2.4 and Theorem 2.5 hold and omit the proofs of Theorem 2.7 and Theorem 2.8.

Proof of Theorem 2.4

By virtue of (3.7), we have(40)

i.

In the case A > 1, we get a = 1 + A.

ii.

In the case 0 < A ≤ 1, we obtain a = 1 − A or a = 1 + A.

Letting , when 0 ≤ a < 1, from (2.3), we haveor when a > 1, from (2.4), we obtainwhere j = j(n) may be .

1.

In the case 0 ≤ a < 1, by using the Riemann–Lebesgue lemma and Lemma 2.2(1), we get(41)

2.

In the case a > 1, by using the Riemann–Lebesgue lemma and Lemma 2.2(2), we obtain(42) Thus, the proof of Theorem 2.4 is now complete.

Next, from Theorem 2.4, we prove Theorem 2.5.

Proof of Theorem 2.5

For a given nodal subset X0, by virtue of Theorem 2.4, we can build up the reconstruction formula. From (2.6–2.10), we get the following procedure.

Step 1. Calculating , if A > 1, then a = 1 + A; if 0 < A ≤ 1, then a = 1 − A or a = 1 + A.

Step 2. For each x ∈ (0, 1), we choose a sequence such that .

Step 3. By virtue of (2.8) and (2.10), we calculate f(x) and g(x) in turn, respectively.

Step 4. By taking derivatives for (2.8) and (2.10), respectively, we get the potential q(x) such that(43) and(44) Thus, we can reconstruct the potential q(x) and coefficient a of the boundary condition.

Thus, this completes the proof of Theorem 2.5.

Finally, we present an example for the inverse nodal problem. i.e., given a nodal points set or its subset X0 ⊆ X, which is dense in (0, 1), we can find the potential q(x) and coefficient a of the boundary condition.

Example

Let be a dense nodal set of the Sturm–Liouville operator L(q, a). Find the potential q(x) and coefficient a of the boundary condition.

By virtue of (3.7) and the assumption of the Example, we have(45) In virtue of (3.9) and (3.14), this yields(46) Therefore, or . When , from (3.10), we obtain(47) Hence(48) Substituting (3.17) into (3.12), we get(49) Integrating from 0 to 1 in (3.18), we have(50) Therefore(51) Similarly, when , we obtain q(x) = 2x.

Acknowledgements

The authors acknowledge helpful comments and valuable suggestions from the referees, which obviously have improved the quality of the original manuscript. This work was supported by the National Natural Science Foundation of China (No. 11171152) and the Natural Science Foundation of Jiangsu (No. BK 2010489).

References

  • McLaughlin, JR, 1988. Inverse spectral theory using nodal points as data – A uniqueness result, J. Differ. Eqns 73 (1988), pp. 354–362.
  • Hald, OH, and McLaughlin, JR, 1989. Solutions of inverse nodal problems, Inverse Probl. 5 (1989), pp. 307–347.
  • Browne, PJ, and Sleeman, BD, 1996. Inverse nodal problem for Sturm–Liouville equation with eigenparameter dependent boundary conditions, Inverse Probl. 12 (1996), pp. 377–381.
  • Cheng, YH, Law, CK, and Tsay, J, 2000. Remarks on a new inverse nodal problem, J. Math. Anal. Appl. 248 (2000), pp. 145–155.
  • Chen, YT, Cheng, YH, Law, CK, and Tsay, J, 2002. L1 convergence of the reconstruction formula for the potential function, Proc. Am. Math. Soc. 130 (2002), pp. 2319–2324.
  • Shen, CL, 1988. On the nodal sets of the eigenfunctions of the string equations, SIAM J. Math. Anal. 19 (1988), pp. 1419–1424.
  • Yang, XF, 1997. A solution of the inverse nodal problem, Inverse Probl. 13 (1997), pp. 203–213.
  • Law, CK, Shen, CL, and Yang, CF, 1999. The inverse nodal problem on the smoothness of the potential function, Inverse Probl. 15 (1999), pp. 253–263.
  • Law, CK, and Tsay, J, 2001. On the well–posedness of the inverse nodal problem, Inverse Probl. 17 (2001), pp. 1493–1512.
  • Law, CK, and Yang, CF, 1998. Reconstructing the potential function and its derivatives using nodal data, Inverse Probl. 14 (1998), pp. 299–312.
  • Panakhov, ES, Koyunbakan, H, and Ic, U, 2010. Reconstruction formula for the potential function of problem with eigenparameter boundary condition, Inverse Probl. Sci. Eng. 18 (2010), pp. 173–180.
  • Yang, CF, and Yang, XP, 2011. Inverse nodal problem for the Sturm–Liouville equation with polynomially dependent on the eigenparameter, Inverse Probl. Sci. Eng. 19 (2011), pp. 951–961.
  • Buterin, SA, and Shieh, CT, 2009. Inverse nodal problem for differential pencils, Appl. Math. Lett. 22 (2009), pp. 1240–1247.
  • Currie, S, and Watson, BA, 2007. Inverse nodal problems for Sturm–Liouville equations on graphs, Inverse Probl. 23 (2007), pp. 2029–2040.
  • Shen, CL, and Shieh, CT, 2000. An inverse nodal problem for vectorial Sturm–Liouville equation, Inverse Probl. 16 (2000), pp. 349–356.
  • Shieh, CT, and Yurko, VA, 2008. Inverse nodal and inverse spectral problems for discontinuous boundary value problems, J. Math. Anal. Appl. 347 (2008), pp. 266–272.
  • Yang, CF, 2010. Reconstruction of the diffusion operator from nodal data, Z. Naturforsch. 65a (1) (2010), pp. 100–106.
  • Yang, CF, and Huang, ZY, 2010. Reconstruction of the Dirac Operator from Nodal Data, Int. Eqns Operator Theory 66 (2010), pp. 539–551.
  • Yurko, VA, 2008. Inverse nodal problems for Sturm–Liouville operators on star–type graphs, J. Inverse Ill–Posed Probl. 16 (2008), pp. 715–722.
  • Marchenko, VA, 1977. Sturm–Liouville Operators and their Applications. Kiev: Naukova Dumka; 1977, English transl. Basel, Birkhäser, 1986.
  • Chernozhukova, AY, and Freiling, G, 2009. A uniqueness theorem for inverse spectral problems depending nonlinearly on the spectral parameter, Inverse Probl. Sci. Eng. 17 (2009), pp. 777–785.
  • Freiling, G, and Yurko, VA, 2010. Inverse problems for Sturm–Liouville equations with boundary conditions polynomially dependent on the spectral parameter, Inverse Probl. 26 (6) (2010), p. 17, 055003.
  • Colton, D, Kirsch, A, and Päivärinta, A, 1989. Far–field patterns for acoustic waves in an inhomogeneous medium, SIAM J. Math. Anal. 20 (1989), pp. 1472–1483.
  • Colton, D, and Monk, P, 1988. The inverse scattering problem for time–harmonic acoustic waves in an inhomogeneous medium, Quart. J. Mech. Appl. Math. 41 (1988), pp. 97–125.
  • Hartman, P, and Wilcox, C, 1961. On solutions of the Helmholtz equation in exterior domains, Math. Z. 75 (1961), pp. 228–255.
  • Rynne, BP, and Sleeman, BD, 1991. The interior transmission problem and inverse scattering from inhomogeneous media, SIAM J. Math. Anal. 22 (1991), pp. 1755–1762.
  • Mclaughlin, JR, and Polyakov, PL, 1994. On the uniqueness of a spherically symmetric speed of sound from transmission eigenvalues, J. Differ. Eqns 107 (1994), pp. 351–382.
  • Gesztesy, F, and Simon, B, 2000. Inverse spectral analysis with partial information on the potential II: The case of discrete spectrum, Trans. Am. Math. Soc. 352 (2000), pp. 2765–2787.
  • Hochstadt, H, and Lieberman, B, 1978. An inverse Sturm–Liouville problem with mixed given data, SIAM J. Appl. Math. 34 (1978), pp. 676–680.
  • Levitan, BM, and Sargsjan, IS, 1990. Sturm–Liouville and Dirac Operators. Dordrecht: Kluwer Academic; 1990.
  • Yurko, VA, 2002. Method of Spectral Mappings in the Inverse Problem Theory, Inverse Ill–posed Probl. Series. Utrecht: VSP; 2002.

Reprints and Corporate Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

To request a reprint or corporate permissions for this article, please click on the relevant link below:

Academic Permissions

Please note: Selecting permissions does not provide access to the full text of the article, please see our help page How do I view content?

Obtain permissions instantly via Rightslink by clicking on the button below:

If you are unable to obtain permissions via Rightslink, please complete and submit this Permissions form. For more information, please visit our Permissions help page.