Applications of the theory of generalized Fourier transforms to Tikhonov problems
Abstract.
In this paper, we consider the Sturm-Liouville operator
where is a positive function satisfying certain conditions. This operator was used to introduce the generalized Weinstein operator
We define and study the multiplier operators and associated with the operators and , next, we introduce and study the extremal functions and . The special cases and are the solutions of a Tikhonov problems.
We present the numerical results associated with and in two versions. The first is in two dimensions, related to the operator , and the second in three dimensions, related to the operator .
Key words and phrases:
Tikhonov problems; multiplier operators; extremal functions2005 Mathematics Subject Classification:
42B10; 44A05; 44A201. Introduction
Let be an arbitrary set and let be a reproducing kernel Hilbert space admitting the reproducing kernel on . For any Hilbert space we consider a bounded linear operator from to . Then the following problem is a classical and fundamental problem which is known as best approximate mean square norm problems
(1) |
where is given. If there exists which attains this infimum, the problem (1) is called solvable otherwise it is called unsolvable. If is a reproducing kernel Hilbert space admitting a reproducing kernel on a the set then whether the problem (1) is solvable or not, the following problem
(2) |
is always solvable for all and we obtain a method for determine the extremal function which attains the infimum (2).
The problem (2) is called the Tikhonov regularization for the problem (1) and if the problem (1) is solvable then we have
in and is the element which attaints the infimum (1).
In the first part of this paper, we consider the Sturm-Liouville operator (SL-operator) defined by
where is a positive function satisfying certain conditions. This operator is the goal of many works in harmonic analysis [2, 3, 6, 7, 4, 24, 25, 26]. Specifically, we consider the Sturm-Liouville transform (SL-transform)
where is the Sturm-Liouville kernel (SL-kernel) given in Section 2 below. The SL-transform can be considered as a generalization of certain generalized Fourier transforms [5, 8, 9, 11]. Many results have already been demonstrated for the SL-transform (see [10, 15, 16, 17, 18, 19, 22, 23]).
We define the Paley-Wiener type space , , associated with the SL-transform , as
where and are the Lebesgue spaces defined in Section 2 and is the characteristic function of the interval .
In Fourier analysis, a multiplier operator is a type of linear operator, or transformation of functions. The Fourier multiplier operators gave a generalization of some classical linear transformations like, the Hilbert transform, the partial sum operator, the Weierstrass transform and the Poisson integral operator, and recently these operators are the goal of many works [20, 21]. Another fundamental tool in harmonic analysis is the Sturm-Liouville multiplier operators (SL-multiplier operators) which are the aim of the study of this paper.
Let . We define the SL-multiplier operators for , by
Let . The main goal of the paper is to study the Tikhonov regularization problem
where and . First this problem has a unique solution (see [12]) denoted by and is given by
where is the unit operator and is the adjoint of .
Next, by using the theory of the SL-transform , we prove that the extremal function satisfies the following properties.
(i) ,
(ii) ,
(iii) ,
(iv) , ,
where is the partial sum operator associated with the SL-transform .
In the second part of this paper, we continue the study of the extremal function associated with the generalized Weinstein operator (GW-operator)
This operator provides another view of the Tikhonov regularization problem in two dimensions. Let and the measures on given by
The generalized Weinstein transform (GW-transform) is defined for by
where is the generalized Weinstein kernel (GW-kernel). This transform satisfies a Plancherel and an inversion formula.
Let . The generalized Weinstein multiplier operators (GW-multiplier operators), are defined for by
We define the Paley-Wiener type space , , associated with the GW-transform , as
where
Let . For any and for any , the Tikhonov regularization problem
has a unique solution denoted also by and is given by
where is the adjoint of .
Using the properties of the GW-transform , the extremal function satisfies the following properties.
(i)
.
(ii) .
(iii) .
(iv) , ,
where is the partial sum operator associated with the GW-transform .
In the third part of this paper, we study two examples of Tikhonov problems and give numerical results associated with and in two versions. The first in two dimensions is related to the Bessel operator
and the second in three dimensions is related to the Weinstein operator
The paper is organized as follows. In Section 2 we recall some results about the SL-operator and the SL-transform . In Section 3 we study two Tikhonov regularization problems associated with the SL-operator and the GW-operator , respectively. In the last section we give numerical results related to the Bessel operator and the Weinstein operator when .
2. The SL-multiplier operators
We consider the SL-operator defined on by
where
for a positive, even, infinitely differentiable function on such that . Moreover we assume that satisfies the following conditions:
(i) is increasing and .
(ii) is decreasing and .
(iii) There exists a constant such that
where is an infinitely differentiable function on , bounded and with bounded derivatives on all intervals , for .
(I) For all , the equation
admits a unique solution, denoted by , with the following properties:
for , the function is analytic on ;
for , the function is even and infinitely differentiable on .
(II) For nonzero , the equation
has a solution satisfying
with
Consequently there exists a function (spectral function) , such that
for nonzero .
Moreover there exist positive constants , , , such that
for all such that and .
(III) The SL-function ; , possesses the following property
(3) |
Notation. We denote by
the measure defined on by ; and by , , the space of measurable functions on , such that
the measure defined on by ; and by , , the space of measurable functions on , such that .
The SL-transform is the Fourier transform associated with the operator and is defined for by
Theorem 1.
-
(i)
-boundedness for . For all , and
-
(ii)
Plancherel theorem for . The SL-transform extends uniquely to an isometric isomorphism of onto . In particular,
-
(iii)
Inversion theorem for . Let , such that . Then
Let and be the function defined by
where is the characteristic function of the interval .
We define the Paley-Wiener type space , as
We see that any element is represented uniquely by a function in the form
The space equipped with the norm
Theorem 2.
The space satisfies
and has the reproducing kernel
Proof.
Let . The inclusion follows from the inequality
where
On the other hand, from Theorem 1 (iii), we have
By (3), we get
Moreover,
This completes the proof of the theorem. ∎
Let . The SL-multiplier operators , are defined for by
(4) |
Let . By Theorem 1 (ii), the operators are bounded from into , and
(5) |
Let . By (5), the -multiplier operators are bounded from into , and
For example, the partial sum operator defined by
is a SL-multiplier operator and satisfies .
Let . We denote by the inner product defined on the space by
Let and let . The space equipped with the norm has the reproducing kernel
Therefore, we have the functional equation
(6) |
where is the adjoint of .
3. Tikhonov regularization problems
In this section, building on the ideas of Saitoh et al. [12, 13, 14], we study and solve the Tikhonov regularization problems associated with the SL-operator and the GW-operator, respectively.
a) Extremal function associated with the SL-operator. For any and for any , the Tikhonov regularization problem
has a unique solution (see [12]) denoted also by and is given by
(7) |
This function possesses the following integral representation.
Theorem 3.
Let . Then for any and for any , we have
-
(i)
.
-
(ii)
.
Proof.
Hence
(ii) The function
belongs to . Then by (i), it follows that belongs to , and
(9) |
Since , we obtain
The theorem is proved. ∎
In the following we establish some properties for the extremal function .
Theorem 4.
Let . For any and for any , we have
-
(i)
.
-
(ii)
.
-
(iii)
.
-
(iv)
, .
Proof.
The (ii) follows from (i) and Theorem 3 (i).
From (i), we have
Consequently,
Using the dominated convergence theorem and the fact that
we deduce (iii).
Finally, from (i) and Theorem 1 (iii), we deduce that
Using the dominated convergence theorem and the fact that
we obtain (iv). ∎
b) Extremal function associated with the GW-operator. We consider the GW-operator on by
For any , the system
admits a unique solution given by
For , the kernel satisfies
Notation. We denote by
the measure defined on by ; and by , , the space of measurable functions on , such that .
the measure defined on by ; and by , , the space of measurable functions on , such that .
The generalized Weinstein transform is the Fourier transform associated with the operator and is defined for by
This transform satisfies the following properties.
Theorem 5.
-
(i)
-boundedness for . For all , and
-
(ii)
Plancherel theorem for . The Weinstein transform extends uniquely to an isometric isomorphism of onto . In particular,
-
(iii)
Inversion theorem for . Let , such that . Then
Let and be the function defined by
We define the Paley-Wiener type space , as
We see that any element is represented uniquely by a function in the form
The space equipped with the norm
The space satisfies
and has the reproducing kernel
Let . The GW-multiplier operators , are defined for by
Let . The operators are bounded from into , and
Let . The GW-multiplier operators are bounded from into , and
For example, the partial sum operator defined by
is a GW-multiplier operator and satisfies .
For any and for any , the Tikhonov regularization problem
has a unique solution (see [12]) denoted by and is given by
where is the adjoint of .
This function possesses the following properties.
Theorem 6.
Let . For any and for any , we have
-
(i)
.
-
(ii)
. -
(iii)
.
-
(iv)
.
-
(v)
, .
4. Numerical results for the limit case
In this section we give numerical applications in the Bessel case and Weinstein case when . The first application concerning the solution of Tikhonov problem
where . The solution of this problem will be denoted by . And the second application concerning the solution of the Tikhonov problem
The solution of this problem will be denoted by .
a) The Bessel operator. In this subsection we consider the operator
In this case and , where is the spherical Bessel function of order 0 given by
(10) |
Hence
In the following we choose and , . Then
Next, taking yields
and
We calculate and for , by using the Gauss-Kronrod method and Maple.


















Remark 7.
We notice from Fig. 6–Fig. 6 that for a small value of and when is fixed at 1, the stability of the function is reached. However, when approaches 0 (Fig. 12–Fig. 12), the stability of is quickly reached and its maximum is maintained over a specific range of . Fig. 18–Fig. 18 show that the desired approximate formulas can be obtained in practice. However, Theorem 4 is justified; we were able to numerically realize the limiting case using computers.
b) The Weinstein operator. In this subsection we consider the operator
In this case and . Hence
In the following we choose and , . Then
Next, taking yields
where
and
Furthermore
where
and
We calculate and for , by using the Gauss-Kronrod method and Maple.












Remark 8.
We notice from Figures Fig. 24–Fig. 24 that for a small value of and when is fixed at 1, the stability of the function is reached. Fig. 30–Fig. 30 show that the desired approximate formulas can be obtained in practice. However, Theorem 6 is justified; we were able to numerically realize the limiting case using computers.
Acknowledgements.
The authors are deeply grateful to the referees for their constructive comments and valuable suggestions.
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