Abstract
The purpose of this article is solving inverse nodal problem for Sturm–Liouville equation with a boundary condition depending on spectral parameter. Taking into account Law and Chen's method, we construct the potential function q and its derivatives by using nodal data. We give several lemmas in order to complete proof of the main theorem. Especially, we obtain an explicit formula for potential function and its derivatives from the nodal data by a pointwise limit.
1. Introduction
In this article, we study the inverse nodal problem of making use of the position of nodal points (zeros of eigenfunctions) to seek potential function and its derivatives. The problem was first defined by McLaughlin in 1988 Citation1, which is different from the classical inverse spectral theory of Gelfand and Levitan Citation2. Later, Hald and McLaughlin Citation3 and Browne and Sleeman Citation4 showed that only knowledge of the nodal points can determine the potential function of the regular Sturm–Liouville problem. In Citation5–12, authors concluded about the smoothness of the potential using only nodal data.
We extend the results of Law and Yang Citation8 to study the Sturm–Liouville problem with a boundary condition depending on the spectral parameter. Especially, we show that for any nonnegative integer N, when q is CN+1, q(k)(x) (k = 1, 2, …, N) can be approximated using nodal data.
We turn our attention to the problem
(1)
(2)
(3)
where q(x) is a real and integrable function on [0, π], μ and α ≠ 0 are real parameters Citation13.
Let λo(q, α) < λ1(q, α) < ··· → ∞ be the eigenvalues of (1.1–1.3) and i = 1, 2, …, n − 1, nodal points of the n-th eigenfunction. Let λn be the n-th eigenvalue and
be i-th nodal point of the n-th eigenfunction yn. Also let
be the i-th nodal domain of the n-th eigenfunction and let
be the associated nodal length. Let jn(x) be the largest index j such that
In Hochtadt's paper Citation13, a solution for (1.1) shall be sought in the form
By this induction, we see that
(4)
From the above, we can write
(5)
where tan(λ0π) = −α and
Δ denotes the difference operator Δai = ai+1 − ai. Inductively, for k > 1, Δkai = Δk−1ai+1 − Δk−1ai, and we introduce the difference quotient operator δ:
THEOREM 1.1 Citation11
Assume that q ∈ L1[0, π], then
where μ is a real parameter.
2. Main results
In this section, we give some lemmas and a reconstruction formula for the potential function q and its derivatives of Sturm–Liouville operator with eigenvalues in the boundary condition. The proof of the following lemma is similar to Law's paper Citation8.
LEMMA 2.1
Suppose that q ∈ L1 [0, π]. Then, as n → ∞ for the problem (1.1–1.3)
(6)
(7)
LEMMA 2.2 Citation7
Suppose that f ∈ L1 [0, π]. Then for almost every x ∈ [0, π], with j = jn(x),
Proposition 2.1 Citation8
If q is a continuous function, then
a. |
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b. |
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c. |
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LEMMA 2.3 Citation8
If q ∈ CN[0, π], then for k = 1, …, N, Δklj = O(n−(k+3)) as n → ∞ and the order estimate is independent of j.
LEMMA 2.4 Citation8
Let with each
where each
. Suppose Φj = O(n−v) and q is sufficiently smooth. Then δkΦj = O(n−v) for all k ∈ ℕ.
LEMMA 2.5 Citation8
Suppose f ∈ CN[0, π] and Then δkΦj = O(n−1) for any k = 0, 1, …, N.
THEOREM 2.1 Citation8
Let Φm(xj) = ψ1(xj)ψ2(xj)…ψm(xj), where ψi(xj) = xj+ki and ki ∈ ℕ ∪ {0}. If q is Ck on [0, π], then
THEOREM 2.2
If q ∈ CN+1[0, π], then q(k)(x) = F(λn, μ) · δkq(xj) + O(n−1) for k = 0, …, N where and
. The order estimate is uniformly valid for compact subsets of [0, π].
Remark
For k = 1, …, N,
be a (k + 1) × (k + 1) Vandermonde matrix. It is well known that
To prove the Theorem 2.2, we need following lemma.
LEMMA 2.6 Citation8
(8)
Next, we consider the following (k + 1) × (k + 1) matrix:
After some operations, we obtain
Let B be the matrix at the right-hand side. By Lemma 2.4 and Theorem 2.1
Proof of Theorem 2.2
For k = 1, 2, …, N, let
By Rolle's theorem, g(xj) = g(xj+1) = ··· = g(xj+k) = 0 implies that there is some ξ1,j+i ∈ (xj+i, xj+i+1) such that g′ (ξ1,j+i) = 0. When we repeat the process, we can find that ξk,j ∈ (xj, xj+k) such that g(k)(ξk,j) = 0. In view of the definition of g, q(k)(ξk,j) det Vk(xj) = k!. det A. Hence
By Lemma 2.6,
. Since q ∈ Ck+1, we get
THEOREM 2.3
Suppose that q in (1.1) is CN+1 on [0, π] (N ≥ 1) and let j = jn(x) for each x ∈ [0, π]. Then, as n → ∞,
and, for all k = 1, 2, …, N,
Proof
The uniform approximation for q is evident. Suppose that q is continuously differentiable on [0, π]. Apply the intermediate value theorem on Proposition (2.1) (c), then there is some such that
Hence
Applying the mean value theorem, when n is sufficiently large, then
(9)
Next we obtain q(k)(x). Then, we consider
by Lemma 2.1. If we use Lemma 2.2 and after some straightforward computations, we yield
and inserting the above equality in (2.4), we get
(10)
If we use a modified Prüfer substitution due to Ashbaugh–Benguria Citation14
in (1.1), we obtain
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Integrating (2.6) from xj to xj+1 and using Taylor expansion
(12)
where
by Lemma 2.5. Using some trigonometric equalities in (2.7), we obtain
Hence using (2.6) again
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Note that by Lemma 2.5
Then, by Lemma 2.4.
. Also, by Taylor expansion
where
Finally, using integration by parts
and we know that
Summarizing from (2.8), we obtain
Hence
where
Thus by Lemma 2.4,
for any k ≥ 1. Therefore
and so for k = 1, 2, …, N
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If we use the results of Theorems 2.2 and 2.4, we obtain
THEOREM 2.4
Assume that q is CN+1 on [0, π]. Then, for k = 1, 2, …, N,
The estimate is independent of j.
Proof
In view of derivations and the fact that
it suffices to show that
(15)
But
Thus, (2.10) follows by Lemma 2.4. If we write (2.10) in (2.9), we get
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3. Numerical results
In this section, we compute exact eigenvalues, nodal points and nodal lengths by using (1.5), (2.1) and (2.2), respectively with computer algebra system-Mathematica.
Example 3.1
Let consider the following Sturm–Liouville problem for a = 1 and q(x) = x2 ∈ L2[0, π].
(17)
(18)
(19)
The detailed results for eigenvalues, nodal points and nodal lengths are shown in Tables . Especially, shows that these results are accurate and explicit. We can see that the conditions of oscillation theorem are provided for q(x) = x2. In , it can be seen that nodal points make an oscillation between 0 and π.
Table 1. The first 10 eigenvalues for the problem (3.1–3.3).
Table 2. Numerical values of nodal points according to the eigenvalues for j = 1, 2, …, n − 1 and
.
Table 3. Numerical values of nodal lengths according to the eigenvalues for j = 1, 2, …, n − 1 and
.
4. Conclusion
In this article, an inverse nodal problem is solved for Sturm–Liouville problem with a boundary condition depending on spectral parameter. Especially, we obtain a reconstruction formula for the potential function and its derivatives. Therefore, we get more general results than classical Sturm–Liouville problem. And finally, we give a numerical example for nodal parameters.
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