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ABSTRACT
Inverse nodal problems for Sturm–Liouville equations with a constant delay are studied. The authors show that the potential up to its mean value on the whole interval can be uniquely determined by two twin-dense nodal subsets and present a constructive procedure for the solution of the above inverse nodal problem. Besides, an example shows that one twin-dense nodal subset can also reconstruct the potential up to its mean value on the whole interval for some cases, and a numerical example is presented.
1. Introduction
The following Sturm–Liouville equation with a constant delay is defined as follows:
(1)
(1) where
is a real-valued function and
and
on
. The presence of a delay in the mathematical model causes phenomena that essentially influence the entire process. Technological and constructive improvements for such models require taking into account such phenomena even in the classical areas of engineering (see [Citation1] and references therein). Direct and inverse problems for differential operators with a constant delay were found in [Citation2–6], some results on inverse problems for integro-differential operators (operators with integral delay) can be found in [Citation7].
We shall denote the operator with Equation (Equation1
(1)
(1) ) and boundary conditions
(2)
(2)
The inverse spectral problem consists in recovering the operator from its spectral characteristics. Inverse spectral problems for the Sturm–Liouville operator have been studied fairly completely(see [Citation8–12] and the references therein). Although there seems to be only a little difference between the Sturm–Liouville operator and the operator , some of the features are unlike (see [Citation1,Citation2,Citation8]). For instance, the main methods in the inverse problem theory for the
Sturm–Liouville operator (transformation operator method, method of spectral mappings, and others) do not give reliable results for differential operators with a constant delay.
The inverse nodal problem is to reconstruct this operator from the given nodal points (zeros) of its eigenfunctions. In 1988, McLaughlin [Citation13] showed that a dense subset of nodal points of its eigenfunctions for the classical Sturm–Liouville operator is sufficient to determine the potential q up to its mean value and coefficients h,H of boundary conditions. After then, a number of researchers studied the inverse nodal problems for differential pencils, discontinuous Sturm–Liouville problems, the p-Laplacian, the transmission eigenvalue problem, Sturm–Liouville equations on graphs and so on (see [Citation7,Citation12,Citation14–29] and references therein). In particular, X.F. Yang [Citation28] showed that an s-dense nodal set on the interval for the classical Sturm–Liouville operator,
, is sufficient to determine the potential q up to its mean value by applying Gesztesy–Simon theorem [Citation9]. Then, Cheng, Law and Tsay [Citation15] improved the Yang's results by the twin-dense subset on
(see below, Definition 3.2, or [Citation15] and other works) instead of s-dense nodal set. Later, Guo and Wei [Citation17] showed that the potential
up to its mean value can be uniquely determined by the twin-dense subset on
for the case
. A counterexample in [Citation27] illustrates that two
Sturm–Liouville operators have the same spectrum and in the subinterval
for any
, their nodal points are the same, but
on the interval
. Later, Wang and Yurko [Citation26] studied the inverse nodal problem for discontinuous
Sturm–Liouville problems by the twin-dense subset on
. Inverse problems are more difficult for investigation of Equation (Equation1
(1)
(1) ) –Equation (Equation2
(2)
(2) ) with the spectral data, and nowadays in this direction there are only a number of results (see [Citation2–4] and other works) which do not constitute a general picture. The aims of this paper are to study the inverse nodal problems for the Sturm–Liouville operator with a constant delay.
This article is organized as follows. In Section 2, we present preliminaries. The inverse nodal problems for Sturm–Liouville equations with a constant delay are studied in Section 3.
2. Preliminaries
Let be the solution of the Equation (Equation1
(1)
(1) ) associated with initial conditions
and
. Denote
and
. Then
and
satisfy (see [Citation3]):
(3)
(3)
(4)
(4) for sufficiently large λ, uniformly in
. Each eigenvalue of
is real and simple, and the spectral set of
coincides with the set of zero of its characteristic function
(5)
(5) Denote
. Then the eigenvalues
satisfy the following asymptotic formula (see [Citation2,Citation3]):
(6)
(6) where
,
.
3. Inverse nodal problems
From now on, we denote which is of the same form as L but with different coefficients. If a certain symbol γ denotes an object related to
, then the corresponding symbol
denotes the analogous object related to
, and
. In this section, we shall show our main results of inverse nodal problems for the Sturm–Liouville equation with a constant delay. Since
on
we shall only concern with the nodal subset on
. We have the following nodal formulae in
for
.
Lemma 3.1
For the zero
of the eigenfunction
of
satisfy the following formula:
(7)
(7)
Proof.
By virtue of Equation (Equation3(3)
(3) ),
Since
, we have
This implies
(8)
(8) By using Taylor's expansions, then Equation (Equation8
(8)
(8) ) shows
as
This implies
(9)
(9) By virtue of Equation (Equation6
(6)
(6) ), we have the following asymptotic formulae
(10)
(10)
(11)
(11) Substituting Equations (Equation10
(10)
(10) ) and (Equation11
(11)
(11) ) into Equation (Equation9
(9)
(9) ), we obtain Equation (Equation7
(7)
(7) ). Therefore, the proof of Lemma 3.1 is completed.
Denote , one can derive
from Lemma 3.1. Let
be the set of nodal points of
Clearly
is the dense set on
. Define the function
on
by
Therefore, for fixed
then there exists a
such that
.
Definition 3.2
Let be a strictly increasing sequence of natural numbers. For each
We call
, be a twin-dense nodal subset on
of
, if
.
For all
, there exists
such that both
.
The set
is dense on
, i.e.
.
Inverse Problem: Given two twin-dense nodal subsets ,
, on the interval
, we reconstruct the potential
.
The following results can solve the Inverse Problem completely.
Theorem 3.3
The potential on
up to its mean value can be uniquely determined by the given twin-dense nodal subsets
for
Proof.
For each fixed , we choose
and
such that
. From Equation (Equation7
(7)
(7) ), we have
Therefore,
(12)
(12) By taking derivatives for Equation (Equation12
(12)
(12) ), we have
(13)
(13) Thus, the proof of Theorem 3.3 is completed.
The proof of Theorem 3.3 is constructive. Therefore, a constructive procedure for the solution of the Inverse Problem is presented as follows.
Algorithm: Given the twin-dense nodal subsets ,
, reconstruct
.
For each fixed
, we choose a sequence
such that
;
We calculate
by Equation (Equation12
(12)
(12) ).
By taking derivatives for Equation (Equation12
(12)
(12) ), we find the potential
satisfying
Remark 3.4
Since the limit
may not exist, or 0, we may not reconstruct the potential
on
by only one twin-dense nodal subset. In fact the condition ‘existence of the above limit’, or
, is so crucial that Theorem 3.3 for one twin-dense nodal subset may be invalid for any a and B. However, only one twin-dense nodal subset can also reconstruct the potential
on
for some a and B (see below, Example 3.6).
Clearly Equation (Equation13
(13)
(13) ) is violated for a=0. If a=0, then the Equation (Equation1
(1)
(1) ) becomes the classical Sturm–Liouville equation. Therefore one can only reconstruct
from one twin-dense nodal subset (see [Citation13] and other works).
By virtue of the above algorithm, we obtain the uniqueness theorem:
Theorem 3.5
If for
then
(14)
(14)
Proof.
For each fixed , we choose
such that
. By virtue of (Equation13
(13)
(13) ), we reconstruct
by
By virtue of the assumption
of Theorem 3.5 together with the function
defined by
Equation (Equation12
(12)
(12) ), this yields
hence
This yields Equation (Equation14
(14)
(14) ), i.e.
This completes the proof of Theorem 3.5.
In the remaining of this section, we shall present an example for reconstructing the potential q from one twin-dense nodal subset, which shows that only one twin-dense nodal subset on can reconstruct the potential
for
and
and a numerical solution of the inverse nodal problem.
Example 3.6
Let , be the twin-dense nodal subset of the operator
, where
(15)
(15) reconstruct
on
.
For each fixed , we choose
such that
, i.e.
By Equation (Equation7
(7)
(7) ) together with Equation (Equation15
(15)
(15) ), we have
(16)
(16) By taking derivatives for Equation (Equation16
(16)
(16) ) again, this yields
(17)
(17) If
, then
(18)
(18) Therefore, Equations (Equation17
(17)
(17) ) and (Equation18
(18)
(18) ) imply
Finally, we present a numerical solution of the above inverse nodal problem. We choose a subset of such that
satisfy Equation (Equation15
(15)
(15) ), where
sufficiently large. Let
, where h>0 is called a step length,
. For each
, we find a number
, such that
Thus, the corresponding approximate solution
is defined by
(19)
(19) By virtue of Equations (Equation15
(15)
(15) ) and (Equation19
(19)
(19) ), we show that the following inequality
holds for all
. Therefore, the difference of
and
is :
Thus,
is a error for the accurate solution
and the corresponding approximate solution
. Figure is a comparison of the accurate solution
and the corresponding approximate solution
with the error 0.005.
Figure 1. Comparison of the accurate solution and the corresponding approximate solution
for h=0.1 and
with the nodal subset
.
![Figure 1. Comparison of the accurate solution q(x) and the corresponding approximate solution qest for h=0.1 and N0=2000 with the nodal subset {xN0,0j}j=5002000.](/cms/asset/95ff3ef2-9f54-4b7a-9b0c-37917bf21519/gipe_a_1489803_f0001_c.jpg)
Figure is a comparison of the accurate solution and the corresponding approximate solution
with the error 0.001.
Acknowledgements
The authors would like to thank the anonymous referees for valuable suggestions, which helped to improve the readability and quality of the paper.
Disclosure statement
No potential conflict of interest was reported by the authors.
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