Return to Article Details Applications of the theory of generalized Fourier transforms to Tikhonov problems

Applications of the theory of generalized Fourier transforms to Tikhonov problems

Fethi Soltani∗ and Akram Nemri†
(Date: February 05, 2025; accepted: June 02, 2025; published online: June 30, 2025.)
Abstract.

In this paper, we consider the Sturm-Liouville operator

ΔS⁢L:=d2d⁢x2+A′⁢(x)A⁢(x)⁢dd⁢x,x∈ℝ+∗,

where A is a positive function satisfying certain conditions. This operator was used to introduce the generalized Weinstein operator

ΔG⁢W:=d2d⁢x12+d2d⁢x22+A′⁢(x2)A⁢(x2)⁢dd⁢x2,(x1,x2)∈ℝ×ℝ+∗.

We define and study the multiplier operators TmS⁢L and TmG⁢W associated with the operators ΔS⁢L and ΔG⁢W, next, we introduce and study the extremal functions fη,h∗,S⁢L and fη,h∗,G⁢W. The special cases f0,h∗,S⁢L and f0,h∗,G⁢W are the solutions of a Tikhonov problems.

We present the numerical results associated with f0,h∗,S⁢L and f0,h∗,G⁢W in two versions. The first is in two dimensions, related to the operator ΔS⁢L, and the second in three dimensions, related to the operator ΔG⁢W.

Key words and phrases:
Tikhonov problems; multiplier operators; extremal functions
2005 Mathematics Subject Classification:
42B10; 44A05; 44A20
∗Faculté des Sciences de Tunis, Laboratoire d’Analyse Mathématique et Applications LR11ES11, Université de Tunis El Manar, Tunis 2092; and Ecole Nationale d’Ingénieurs de Carthage, Université de Carthage, Tunis 2035, Tunisia
†Department of Mathematics, Faculty of Science, Jazan University, P.O. Box 277, Jazan 45142, Saudi Arabia

1. Introduction

Let E be an arbitrary set and let HK be a reproducing kernel Hilbert space admitting the reproducing kernel K on E. For any Hilbert space H we consider a bounded linear operator T from HK to H. Then the following problem is a classical and fundamental problem which is known as best approximate mean square norm problems

(1) inff∈HK{‖T⁢(f)−h‖H2},

where h∈H is given. If there exists fh∗∈HK which attains this infimum, the problem (1) is called solvable otherwise it is called unsolvable. If HK is a reproducing kernel Hilbert space admitting a reproducing kernel K⁢(p,q) on a the set E then whether the problem (1) is solvable or not, the following problem

(2) inff∈HK{η‖f∥HK2+‖T⁢(f)−h‖H2},

is always solvable for all η>0 and we obtain a method for determine the extremal function fη,h∗∈HK 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

fη,h∗⟶fh∗asη⟶0+,

in HK and fh∗ 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

ΔS⁢L:=d2d⁢x2+A′A⁢(x)⁢dd⁢x,x∈ℝ+∗,

where A 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)

ℱS⁢L⁢(f)⁢(λ):=∫0∞φλS⁢L⁢(x)⁢f⁢(x)⁢A⁢(x)⁢d⁢x,λ∈ℝ+,

where φλS⁢L 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 ℱS⁢L (see [10, 15, 16, 17, 18, 19, 22, 23]).

We define the Paley-Wiener type space 𝒫sS⁢L, s>0, associated with the SL-transform ℱS⁢L, as

𝒫sS⁢L:=ℱS⁢L−1⁢(χs⁢L2⁢(ν)),

where L2⁢(μ) and L2⁢(ν) are the Lebesgue spaces defined in Section 2 and χs:=χ(0,1/s) is the characteristic function of the interval (0,1/s).

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 m∈L∞⁢(ν). We define the SL-multiplier operators TmS⁢L for f∈L2⁢(μ), by

TmS⁢L⁢(f):=ℱS⁢L−1⁢(m⁢ℱS⁢L⁢(f)).

Let m∈L∞⁢(ν). The main goal of the paper is to study the Tikhonov regularization problem

inff∈𝒫sS⁢L{η‖f∥𝒫sS⁢L2+‖h−TmS⁢L⁢(f)‖L2⁢(μ)2},

where h∈L2⁢(μ) and η>0. First this problem has a unique solution (see [12]) denoted by fη,h∗,S⁢L and is given by

fη,h∗,S⁢L⁢(y):=(η⁢I+TmS⁢L,∗⁢TmS⁢L)−1⁢TmS⁢L,∗⁢(h)⁢(y),y∈ℝ+,

where I is the unit operator and TmS⁢L,∗:L2⁢(μ)→𝒫sS⁢L is the adjoint of TmS⁢L.

Next, by using the theory of the SL-transform ℱS⁢L, we prove that the extremal function fη,h∗,S⁢L satisfies the following properties.

(i) TmS⁢L⁢(fη,h∗,S⁢L)⁢(y)=∫ℝ+χs⁢(λ)⁢φλS⁢L⁢(y)⁢|m⁢(λ)|2⁢ℱS⁢L⁢(h)⁢(λ)η+|m⁢(λ)|2⁢d⁢ν⁢(λ),

(ii) TmS⁢L⁢(fη,h∗,S⁢L)⁢(y)=fη,TmS⁢L⁢(h)∗,S⁢L⁢(y),

(iii) limη→0+‖TmS⁢L⁢(fη,h∗,S⁢L)−SsS⁢L⁢(h)‖L2⁢(μ)=0,

(iv) limη→0+TmS⁢L⁢(fη,h∗,S⁢L)⁢(y)=SsS⁢L⁢(h)⁢(y), y∈ℝ+,
where SsS⁢L is the partial sum operator associated with the SL-transform ℱS⁢L.

In the second part of this paper, we continue the study of the extremal function associated with the generalized Weinstein operator (GW-operator)

ΔG⁢W:=d2d⁢x12+ΔS⁢L|x2,(x1,x2)∈ℝ×ℝ+∗.

This operator provides another view of the Tikhonov regularization problem in two dimensions. Let μ′ and ν′ the measures on 𝕂:=ℝ×ℝ+ given by

d⁢μ′⁢(x1,x2):=d⁢x1⁢d⁢μ⁢(x2),d⁢ν′⁢(λ1,λ2):=12⁢π⁢d⁢λ1⁢d⁢ν⁢(λ2).

The generalized Weinstein transform ℱG⁢W (GW-transform) is defined for f∈L1⁢(μ′) by

ℱG⁢W⁢(f)⁢(λ1,λ2):=∫𝕂φλ1,λ2G⁢W⁢(x1,x2)⁢f⁢(x1,x2)⁢d⁢μ′⁢(x1,x2),(λ1,λ2)∈𝕂,

where φλ1,λ2G⁢W⁢(x1,x2)=e−i⁢λ1⁢x1⁢φλ2⁢(x2) is the generalized Weinstein kernel (GW-kernel). This transform satisfies a Plancherel and an inversion formula.

Let m∈L∞⁢(ν′). The generalized Weinstein multiplier operators TmG⁢W (GW-multiplier operators), are defined for f∈L2⁢(μ′) by

TmG⁢W⁢(f):=ℱG⁢W−1⁢(m⁢ℱG⁢W⁢(f)).

We define the Paley-Wiener type space 𝒫sG⁢W, s>0, associated with the GW-transform ℱG⁢W, as

𝒫sG⁢W:=ℱG⁢W−1⁢(χs⁢L2⁢(ν′)),

where

χs⁢(λ1,λ2):=χ(−1/s,1/s)⁢(λ1)⁢χ(0,1/s)⁢(λ2),(λ1,λ2)∈𝕂.

Let m∈L∞⁢(ν′). For any h∈L2⁢(μ′) and for any η>0, the Tikhonov regularization problem

inff∈𝒫sG⁢W{η‖f∥𝒫sG⁢W2+‖h−TmG⁢W⁢(f)‖L2⁢(μ′)2},

has a unique solution denoted also by fη,h∗,G⁢W and is given by

fη,h∗,G⁢W⁢(y1,y2):=(η⁢I+TmG⁢W,∗⁢TmG⁢W)−1⁢TmG⁢W,∗⁢(h)⁢(y1,y2),(y1,y2)∈𝕂,

where TmG⁢W,∗:L2⁢(μ′)→𝒫sG⁢W is the adjoint of TmG⁢W.

Using the properties of the GW-transform ℱG⁢W, the extremal function fη,h∗,G⁢W satisfies the following properties.

(i) TmG⁢W⁢(fη,h∗,G⁢W)⁢(y1,y2)=

=∫𝕂χs⁢(λ1,λ2)⁢φλ1,λ2G⁢W⁢(y1,y2)⁢|m⁢(λ1,λ2)|2⁢ℱG⁢W⁢(h)⁢(λ1,λ2)η+|m⁢(λ1,λ2)|2⁢d⁢ν′⁢(λ1,λ2).

(ii) TmG⁢W⁢(fη,h∗,G⁢W)⁢(y1,y2)=fη,TmG⁢W⁢(h)∗,G⁢W⁢(y1,y2).

(iii) limη→0+‖TmG⁢W⁢(fη,h∗,G⁢W)−SsG⁢W⁢(h)‖L2⁢(μ′)=0.

(iv) limη→0+TmG⁢W⁢(fη,h∗,G⁢W)⁢(y1,y2)=SsG⁢W⁢(h)⁢(y1,y2), (y1,y2)∈𝕂,
where SsG⁢W is the partial sum operator associated with the GW-transform ℱG⁢W.

In the third part of this paper, we study two examples of Tikhonov problems and give numerical results associated with f0,h∗,S⁢L and f0,h∗,G⁢W in two versions. The first in two dimensions is related to the Bessel operator

ΔB:=d2d⁢x2+1x⁢dd⁢x,

and the second in three dimensions is related to the Weinstein operator

ΔW:=d2d⁢x12+d2d⁢x22+1x2⁢dd⁢x2.

The paper is organized as follows. In Section 2 we recall some results about the SL-operator ΔS⁢L and the SL-transform ℱS⁢L. In Section 3 we study two Tikhonov regularization problems associated with the SL-operator ΔS⁢L and the GW-operator ΔG⁢W, respectively. In the last section we give numerical results related to the Bessel operator ΔB and the Weinstein operator ΔW when α=0.

2. The SL-multiplier operators

We consider the SL-operator ΔS⁢L defined on ℝ+∗ by

ΔS⁢L:=d2d⁢x2+A′⁢(x)A⁢(x)⁢dd⁢x,

where

A⁢(x)=x2⁢α+1⁢B⁢(x),α>−1/2,

for B a positive, even, infinitely differentiable function on ℝ such that B⁢(0)=1. Moreover we assume that A satisfies the following conditions:

(i) A is increasing and limx→∞A⁢(x)=∞.

(ii) A′A is decreasing and limx→∞A′⁢(x)A⁢(x)=2⁢ρ≥0.

(iii) There exists a constant δ>0 such that

A′⁢(x)A⁢(x)=2⁢ρ+e−δ⁢x⁢D⁢(x), if ⁢ρ>0,
A′⁢(x)A⁢(x)=2⁢α+1x+e−δ⁢x⁢D⁢(x), if ⁢ρ=0,

where D is an infinitely differentiable function on ℝ+∗, bounded and with bounded derivatives on all intervals [x0,∞), for x0>0.

This operator was studied in [4, 24], and the following results have been established:

(I) For all λ∈ℂ, the equation

{ΔS⁢L⁢(u)=−(λ2+ρ2)⁢uu⁢(0)=1,u′⁢(0)=0

admits a unique solution, denoted by φλS⁢L, with the following properties:

∙ for x∈ℝ+, the function λ→φλS⁢L⁢(x) is analytic on ℂ;

∙ for λ∈ℂ, the function x→φλS⁢L⁢(x) is even and infinitely differentiable on ℝ.

(II) For nonzero λ∈ℂ, the equation

ΔS⁢L⁢(u)=−(λ2+ρ2)⁢u,

has a solution Φλ satisfying

Φλ⁢(x)=ei⁢λ⁢xA⁢(x)⁢V⁢(x,λ),

with

limx→∞V⁢(x,λ)=1.

Consequently there exists a function (spectral function) λ→c⁢(λ), such that

φλS⁢L⁢(x)=c⁢(λ)⁢Φλ⁢(x)+c⁢(−λ)⁢Φ−λ⁢(x),x∈ℝ+,

for nonzero λ∈ℂ.

Moreover there exist positive constants k1, k2, k, such that

k1⁢|λ|2⁢α+1≤|c⁢(λ)|−2≤k2⁢|λ|2⁢α+1,

for all λ such that Im⁢λ≤0 and |λ|≥k.

(III) The SL-function φλS⁢L⁢(x); λ,x∈ℝ+, possesses the following property

(3) |φλS⁢L⁢(x)|≤1.

Notation. We denote by

∙ μ the measure defined on ℝ+ by d⁢μ⁢(x):=A⁢(x)⁢d⁢x; and by Lp⁢(μ), p∈[1,∞], the space of measurable functions f on ℝ+, such that

‖f‖Lp⁢(μ):=[∫ℝ+|f⁢(x)|p⁢d⁢μ⁢(x)]1/p<∞,p∈[1,∞),
‖f‖L∞⁢(μ):= ess⁢supx∈ℝ+|f⁢(x)|<∞;

∙ ν the measure defined on ℝ+ by d⁢ν⁢(λ):=d⁢λ2⁢π⁢|c⁢(λ)|2; and by Lp⁢(ν), p∈[1,∞], the space of measurable functions f on ℝ+, such that ‖f‖Lp⁢(ν)<∞.

The SL-transform is the Fourier transform associated with the operator ΔS⁢L and is defined for f∈L1⁢(μ) by

ℱS⁢L⁢(f)⁢(λ):=∫ℝ+φλS⁢L⁢(x)⁢f⁢(x)⁢d⁢μ⁢(x),λ∈ℝ+.

Some of the properties of the SL-transform ℱS⁢L are collected bellow (see [4, 24, 25]).

Theorem 1.
  • (i)

    L1−L∞-boundedness for ℱS⁢L. For all f∈L1⁢(μ), ℱS⁢L⁢(f)∈L∞⁢(ν) and

    ‖ℱS⁢L⁢(f)‖L∞⁢(ν)≤‖f‖L1⁢(μ).
  • (ii)

    Plancherel theorem for ℱS⁢L. The SL-transform ℱS⁢L extends uniquely to an isometric isomorphism of L2⁢(μ) onto L2⁢(ν). In particular,

    ‖f‖L2⁢(μ)=‖ℱS⁢L⁢(f)‖L2⁢(ν).
  • (iii)

    Inversion theorem for ℱS⁢L. Let f∈L1⁢(μ), such that ℱS⁢L⁢(f)∈L1⁢(ν). Then

    f⁢(x)=∫ℝ+φλS⁢L⁢(x)⁢ℱS⁢L⁢(f)⁢(λ)⁢d⁢ν⁢(λ),a.e.⁢x∈ℝ+.

Let s>0 and χs be the function defined by

χs⁢(λ):=χ(0,1/s)⁢(λ),λ∈ℝ+,

where χ(0,1/s) is the characteristic function of the interval (0,1/s).

We define the Paley-Wiener type space 𝒫sS⁢L, as

𝒫sS⁢L:=ℱS⁢L−1⁢(χs⁢L2⁢(ν)).

We see that any element f∈𝒫sS⁢L is represented uniquely by a function F∈L2⁢(ν) in the form

f=ℱS⁢L−1⁢(χs⁢F).

The space 𝒫sS⁢L equipped with the norm

‖f‖𝒫sS⁢L:=‖F‖L2⁢(ν)=[∫ℝ+|F⁢(λ)|2⁢d⁢ν⁢(λ)]1/2.
Theorem 2.

The space 𝒫sS⁢L satisfies

ℱS⁢L⁢(𝒫sS⁢L)⊂L1∩L2⁢(ν),

and has the reproducing kernel

Ks⁢(x,y)=∫ℝ+χs⁢(λ)⁢φλS⁢L⁢(x)⁢φλS⁢L⁢(y)⁢d⁢ν⁢(λ).
Proof.

Let f∈𝒫sS⁢L. The inclusion follows from the inequality

‖ℱS⁢L⁢(f)‖L1⁢(ν)≤As⁢‖f‖𝒫sS⁢L,

where

As:=[∫ℝ+χs⁢(λ)⁢d⁢ν⁢(λ)]1/2.

On the other hand, from Theorem 1 (iii), we have

ℱS⁢L(Ks(.,y))(λ)=χs(λ)φλS⁢L(y),y∈ℝ+.

By (3), we get

∥Ks(.,y)∥𝒫sS⁢L=[∫ℝ+χs(λ)|φλS⁢L(y)|2dν(λ)]1/2≤As<∞.

Moreover,

⟨f,Ks(.,y)⟩𝒫sS⁢L=∫ℝ+ℱS⁢L(f)(λ)φλS⁢L(y)dν(λ)=f(y).

This completes the proof of the theorem. ∎

Let m∈L∞⁢(ν). The SL-multiplier operators TmS⁢L, are defined for f∈L2⁢(μ) by

(4) TmS⁢L⁢(f):=ℱS⁢L−1⁢(m⁢ℱS⁢L⁢(f)).

Let m∈L∞⁢(ν). By Theorem 1 (ii), the operators TmS⁢L are bounded from L2⁢(μ) into L2⁢(μ), and

(5) ‖TmS⁢L⁢(f)‖L2⁢(μ)≤‖m‖L∞⁢(ν)⁢‖f‖L2⁢(μ).

Let m∈L∞⁢(ν). By (5), the S⁢L-multiplier operators TmS⁢L are bounded from 𝒫sS⁢L into L2⁢(μ), and

‖TmS⁢L⁢(f)‖L2⁢(μ)≤‖m‖L∞⁢(ν)⁢‖f‖𝒫sS⁢L.

For example, the partial sum operator SsS⁢L defined by

SsS⁢L⁢(f):=ℱS⁢L−1⁢(χs⁢ℱS⁢L⁢(f)),

is a SL-multiplier operator and satisfies ‖SsS⁢L⁢(f)‖L2⁢(μ)≤‖f‖𝒫sS⁢L.

Let η>0. We denote by ⟨.,.⟩η,𝒫sS⁢L the inner product defined on the space 𝒫sS⁢L by

⟨f,g⟩η,𝒫sS⁢L:=η⁢⟨f,g⟩𝒫sS⁢L+⟨TmS⁢L⁢(f),TmS⁢L⁢(g)⟩L2⁢(μ).

Let η>0 and let m∈L∞⁢(ν). The space 𝒫sS⁢L equipped with the norm ∥.∥η,𝒫sS⁢L has the reproducing kernel

Ks,η⁢(x,y)=∫ℝ+χs⁢(λ)⁢φλS⁢L⁢(x)⁢φλS⁢L⁢(y)η+|m⁢(λ)|2⁢d⁢ν⁢(λ).

Therefore, we have the functional equation

(6) (ηI+TmS⁢L,∗TmS⁢L)Ks,η(.,y)=Ks(.,y),y∈ℝ+,

where TmS⁢L,∗:L2⁢(μ)→𝒫sS⁢L is the adjoint of TmS⁢L.

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 h∈L2⁢(μ) and for any η>0, the Tikhonov regularization problem

inff∈𝒫sS⁢L{η‖f∥𝒫sS⁢L2+‖h−TmS⁢L⁢(f)‖L2⁢(μ)2}

has a unique solution (see [12]) denoted also by fη,h∗,S⁢L and is given by

(7) fη,h∗,S⁢L⁢(y):=(η⁢I+TmS⁢L,∗⁢TmS⁢L)−1⁢TmS⁢L,∗⁢(h)⁢(y),y∈ℝ+.

This function possesses the following integral representation.

Theorem 3.

Let m∈L∞⁢(ν). Then for any h∈L2⁢(μ) and for any η>0, we have

  • (i)

    fη,h∗,S⁢L⁢(y)=∫ℝ+χs⁢(λ)⁢φλS⁢L⁢(y)⁢m⁢(λ)¯⁢ℱS⁢L⁢(h)⁢(λ)η+|m⁢(λ)|2⁢d⁢ν⁢(λ).

  • (ii)

    ‖fη,h∗,S⁢L‖𝒫sS⁢L≤12⁢η⁢‖h‖L2⁢(μ).

Proof.

(i) From Theorem 2, (6) and (7), we have

fη,h∗,S⁢L⁢(y) = ⟨(ηI+TmS⁢L,∗TmS⁢L)−1TmS⁢L,∗(h),Ks(.,y)⟩𝒫sS⁢L
= ⟨TmS⁢L,∗(h),(ηI+TmS⁢L,∗TmS⁢L)−1Ks(.,y)⟩𝒫sS⁢L
= ⟨TmS⁢L,∗(h),Ks,η(.,y)⟩𝒫sS⁢L.

Hence

fη,h∗,S⁢L(y)=⟨h,TmS⁢L(Ks,η(.,y))⟩L2⁢(μ).

By (3), the function λ→χs⁢(λ)⁢φλS⁢L⁢(y)η+|m⁢(λ)|2 belongs to L1∩L2⁢(ν). Then from Theorem 1 (ii), it follows that Ks,η(.,y) belongs to L2⁢(μ), and

(8) ℱS⁢L(Ks,η(.,y))(λ)=χs⁢(λ)⁢φλS⁢L⁢(y)η+|m⁢(λ)|2,y∈ℝ+.

By Theorem 1 (ii) and (8), we have

fη,h∗,S⁢L⁢(y) = ∫ℝ+ℱS⁢L⁢(h)⁢(λ)⁢m(λ)ℱS⁢L(Ks,η(.,y))(λ)¯⁢d⁢ν⁢(λ)
= ∫ℝ+χs⁢(λ)⁢φλS⁢L⁢(y)⁢m⁢(λ)¯⁢ℱS⁢L⁢(h)⁢(λ)η+|m⁢(λ)|2⁢d⁢ν⁢(λ).

(ii) The function

λ→χs⁢(λ)⁢m⁢(λ)¯⁢ℱS⁢L⁢(h)⁢(λ)η+|m⁢(λ)|2,

belongs to L1∩L2⁢(ν). Then by (i), it follows that fη,h∗,S⁢L belongs to L2⁢(μ), and

(9) ℱS⁢L⁢(fη,h∗,S⁢L)⁢(λ)=χs⁢(λ)⁢m⁢(λ)¯⁢ℱS⁢L⁢(h)⁢(λ)η+|m⁢(λ)|2.

Since [η+|m⁢(λ)|2]2≥4⁢η⁢|m⁢(λ)|2, we obtain

‖fη,h∗,S⁢L‖𝒫sS⁢L2 = ∫ℝ+|m⁢(λ)|2⁢|ℱS⁢L⁢(h)⁢(λ)|2[η+|m⁢(λ)|2]2⁢d⁢ν⁢(λ)
≤ 14⁢η⁢∫ℝ+|ℱS⁢L⁢(h)⁢(λ)|2⁢d⁢ν⁢(λ)=14⁢η⁢‖h‖L2⁢(μ)2.

The theorem is proved. ∎

In the following we establish some properties for the extremal function fη,h∗,S⁢L.

Theorem 4.

Let m∈L∞⁢(ν). For any h∈L2⁢(μ) and for any η>0, we have

  • (i)

    TmS⁢L⁢(fη,h∗,S⁢L)⁢(y)=∫ℝ+χs⁢(λ)⁢φλS⁢L⁢(y)⁢|m⁢(λ)|2⁢ℱS⁢L⁢(h)⁢(λ)η+|m⁢(λ)|2⁢d⁢ν⁢(λ).

  • (ii)

    TmS⁢L⁢(fη,h∗,S⁢L)⁢(y)=fη,TmS⁢L⁢(h)∗⁢(y).

  • (iii)

    limη→0+‖TmS⁢L⁢(fη,h∗,S⁢L)−SsS⁢L⁢(h)‖L2⁢(μ)=0.

  • (iv)

    limη→0+TmS⁢L⁢(fη,h∗,S⁢L)⁢(y)=SsS⁢L⁢(h)⁢(y), y∈ℝ+.

Proof.

By (4) and (9), we have

TmS⁢L⁢(fη,h∗,S⁢L)⁢(y)=ℱS⁢L−1⁢(χs⁢(λ)⁢|m⁢(λ)|2⁢ℱS⁢L⁢(h)⁢(λ)η+|m⁢(λ)|2)⁢(y).

The function

λ→χs⁢(λ)⁢|m⁢(λ)|2⁢ℱS⁢L⁢(h)⁢(λ)η+|m⁢(λ)|2

belongs to L1∩L2⁢(ν). Then by Theorem 1 (iii), we obtain (i).

The (ii) follows from (i) and Theorem 3 (i).

From (i), we have

ℱS⁢L⁢(TmS⁢L⁢(fη,h∗,S⁢L)−SsS⁢L⁢(h))⁢(λ)=−η⁢χs⁢(λ)⁢ℱS⁢L⁢(h)⁢(λ)η+|m⁢(λ)|2.

Consequently,

‖TmS⁢L⁢(fη,h∗,S⁢L)−SsS⁢L⁢(h)‖L2⁢(μ)2=∫ℝ+η2⁢χs⁢(λ)⁢|ℱS⁢L⁢(h)⁢(λ)|2[η+|m⁢(λ)|2]2⁢d⁢ν⁢(λ).

Using the dominated convergence theorem and the fact that

η2⁢χs⁢(λ)⁢|ℱS⁢L⁢(h)⁢(λ)|2[η+|m⁢(λ)|2]2≤|ℱS⁢L⁢(h)⁢(λ)|2,

we deduce (iii).

Finally, from (i) and Theorem 1 (iii), we deduce that

TmS⁢L⁢(fη,h∗,S⁢L)⁢(y)−SsS⁢L⁢(h)⁢(y)=−η⁢∫ℝ+φλS⁢L⁢(y)⁢χs⁢(λ)⁢ℱS⁢L⁢(h)⁢(λ)η+|m⁢(λ)|2⁢d⁢ν⁢(λ).

Using the dominated convergence theorem and the fact that

η⁢χs⁢(λ)⁢|ℱS⁢L⁢(f)⁢(λ)|η+|m⁢(λ)|2≤χs⁢(λ)⁢|ℱS⁢L⁢(h)⁢(λ)|,

we obtain (iv). ∎

b) Extremal function associated with the GW-operator. We consider the GW-operator on ℝ×ℝ+∗ by

ΔG⁢W:=d2d⁢x12+d2d⁢x22+A′⁢(x2)A⁢(x2)⁢dd⁢x2=d2d⁢x12+ΔS⁢L|x2,(x1,x2)∈ℝ×ℝ+∗.

For any (λ1,λ2)∈𝕂:=ℝ×ℝ+, the system

ΔG⁢W⁢(u)⁢(x1,x2)=−(λ22+ρ2)⁢u⁢(x1,x2),
∂2u∂x12⁢(x1,x2)=−λ12⁢u⁢(x1,x2),
u⁢(0,0)=1,∂u∂x2⁢(0,0)=0,∂u∂x1⁢(0,0)=−i⁢λ1.

admits a unique solution φλ1,λ2⁢(x1,x2) given by

φλ1,λ2G⁢W⁢(x1,x2)=e−i⁢λ1⁢x1⁢φλ2⁢(x2).

For (x1,x2),(λ1,λ2)∈𝕂, the kernel φλ1,λ2G⁢W⁢(x1,x2) satisfies

|φλ1,λ2G⁢W⁢(x1,x2)|≤1.

Notation. We denote by

∙ μ′ the measure defined on 𝕂 by d⁢μ′⁢(x1,x2):=d⁢x1⁢d⁢μ⁢(x2); and by Lp⁢(μ′), p∈[1,∞], the space of measurable functions f on 𝕂, such that ‖f‖Lp⁢(μ′)<∞.

∙ ν′ the measure defined on 𝕂 by d⁢ν′⁢(λ1,λ2):=12⁢π⁢d⁢λ1⁢d⁢ν⁢(λ2); and by Lp⁢(ν′), p∈[1,∞], the space of measurable functions f on ℝ+, such that ‖f‖Lp⁢(ν)<∞.

The generalized Weinstein transform is the Fourier transform associated with the operator ΔG⁢W and is defined for f∈L1⁢(μ′) by

ℱG⁢W⁢(f)⁢(λ1,λ2):=∫𝕂φλ1,λ2G⁢W⁢(x1,x2)⁢f⁢(x1,x2)⁢d⁢μ′⁢(x1,x2),(λ1,λ2)∈𝕂.

This transform satisfies the following properties.

Theorem 5.
  • (i)

    L1−L∞-boundedness for ℱG⁢W. For all f∈L1⁢(μ′), ℱG⁢W⁢(f)∈L∞⁢(ν′) and

    ‖ℱG⁢W⁢(f)‖L∞⁢(ν′)≤‖f‖L1⁢(μ′).
  • (ii)

    Plancherel theorem for ℱG⁢W. The Weinstein transform ℱG⁢W extends uniquely to an isometric isomorphism of L2⁢(μ′) onto L2⁢(ν′). In particular,

    ‖f‖L2⁢(μ′)=‖ℱG⁢W⁢(f)‖L2⁢(ν′).
  • (iii)

    Inversion theorem for ℱG⁢W. Let f∈L1⁢(μ′), such that ℱG⁢W⁢(f)∈L1⁢(ν′). Then

    f⁢(x)=∫𝕂φλ1,λ2G⁢W⁢(x1,x2)⁢ℱG⁢W⁢(f)⁢(λ1,λ2)⁢d⁢ν′⁢(λ1,λ2),a.e.⁢(x1,x2)∈𝕂.

Let s>0 and χs be the function defined by

χs⁢(λ1,λ2):=χ(−1/s,1/s)⁢(λ1)⁢χ(0,1/s)⁢(λ2),(λ1,λ2)∈𝕂.

We define the Paley-Wiener type space 𝒫sG⁢W, as

𝒫sG⁢W:=ℱG⁢W−1⁢(χs⁢L2⁢(ν′)).

We see that any element f∈𝒫sG⁢W is represented uniquely by a function F∈L2⁢(ν′) in the form

f=ℱG⁢W−1⁢(χs⁢F).

The space 𝒫sG⁢W equipped with the norm

‖f‖𝒫sG⁢W:=‖F‖L2⁢(ν′)=[∫𝕂|F⁢(λ1,λ2)|2⁢d⁢ν′⁢(λ1,λ2)]1/2.

The space 𝒫sG⁢W satisfies

ℱG⁢W⁢(𝒫sG⁢W)⊂L1∩L2⁢(ν′),

and has the reproducing kernel

Ks((x1,x2),(y1,y2))=∫𝕂χs(λ1,λ2)φλ1,λ2G⁢W(x1,x2))φG⁢Wλ1,λ2(y1,y2)dν′(λ1,λ2).

Let m∈L∞⁢(ν′). The GW-multiplier operators TmG⁢W, are defined for f∈L2⁢(μ′) by

TmG⁢W⁢(f):=ℱG⁢W−1⁢(m⁢ℱG⁢W⁢(f)).

Let m∈L∞⁢(ν′). The operators TmG⁢W are bounded from L2⁢(μ′) into L2⁢(μ′), and

‖TmG⁢W⁢(f)‖L2⁢(μ′)≤‖m‖L∞⁢(ν′)⁢‖f‖L2⁢(μ′).

Let m∈L∞⁢(ν′). The GW-multiplier operators TmG⁢W are bounded from 𝒫sG⁢W into L2⁢(μ′), and

‖TmG⁢W⁢(f)‖L2⁢(μ′)≤‖m‖L∞⁢(ν′)⁢‖f‖𝒫sG⁢W.

For example, the partial sum operator SsG⁢W defined by

SsG⁢W⁢(f):=ℱG⁢W−1⁢(χs⁢ℱG⁢W⁢(f)),

is a GW-multiplier operator and satisfies ‖SsG⁢W⁢(f)‖L2⁢(μ′)≤‖f‖𝒫sG⁢W.

For any h∈L2⁢(μ′) and for any η>0, the Tikhonov regularization problem

inff∈𝒫sG⁢W{η‖f∥𝒫sG⁢W2+‖h−TmG⁢W⁢(f)‖L2⁢(μ′)2}

has a unique solution (see [12]) denoted by fη,h∗,G⁢W and is given by

fη,h∗,G⁢W⁢(y1,y2):=(η⁢I+TmG⁢W,∗⁢TmG⁢W)−1⁢TmG⁢W,∗⁢(h)⁢(y1,y2),(y1,y2)∈𝕂,

where TmG⁢W,∗:L2⁢(μ′)→𝒫sG⁢W is the adjoint of TmG⁢W.

This function possesses the following properties.

Theorem 6.

Let m∈L∞⁢(ν′). For any h∈L2⁢(μ′) and for any η>0, we have

  • (i)

    fη,h∗,G⁢W⁢(y1,y2)=∫𝕂χs⁢(λ1,λ2)⁢φλ1,λ2G⁢W⁢(y1,y2)⁢m⁢(λ1,λ2)¯⁢ℱG⁢W⁢(h)⁢(λ1,λ2)η+|m⁢(λ1,λ2)|2⁢d⁢ν′⁢(λ1,λ2).

  • (ii)

    TmG⁢W⁢(fη,h∗,S⁢L)⁢(y1,y2)=
    =∫𝕂χs⁢(λ1,λ2)⁢φλ1,λ2G⁢W⁢(y1,y2)⁢|m⁢(λ1,λ2)|2⁢ℱG⁢W⁢(h)⁢(λ1,λ2)η+|m⁢(λ1,λ2)|2⁢d⁢ν′⁢(λ1,λ2).

  • (iii)

    TmG⁢W⁢(fη,h∗,S⁢L)⁢(y1,y2)=fη,TmG⁢W⁢(h)∗,G⁢W⁢(y1,y2).

  • (iv)

    limη→0+‖TmG⁢W⁢(fη,h∗,G⁢W)−SsG⁢W⁢(h)‖L2⁢(μ′)=0.

  • (v)

    limη→0+TmG⁢W⁢(fη,h∗,G⁢W)⁢(y1,y2)=SsG⁢W⁢(h)⁢(y1,y2), (y1,y2)∈𝕂.

4. Numerical results for the limit case η→0+

In this section we give numerical applications in the Bessel case and Weinstein case when α=0. The first application concerning the solution of Tikhonov problem

inff∈𝒫sB{‖h−TmB⁢(f)‖L2⁢(μ)2},

where h∈L2⁢(μ). The solution of this problem will be denoted by f0,h∗,B. And the second application concerning the solution of the Tikhonov problem

inff∈𝒫sW{‖h−TmW⁢(f)‖L2⁢(μ′)2}.

The solution of this problem will be denoted by f0,h∗,W.

a) The Bessel operator. In this subsection we consider the operator

ΔB:=d2d⁢x2+1x⁢dd⁢x.

In this case ρ=0 and φλB⁢(x)=j0⁢(λ⁢x), where j0 is the spherical Bessel function of order 0 given by

(10) j0(x)=1π∫0πcos(xsint))dt=∑∞n=0(−1)n22⁢n⁢(n!)2x2⁢n.

Hence

ℱB⁢(h)⁢(λ):=∫ℝ+j0⁢(λ⁢x)⁢h⁢(x)⁢x⁢d⁢x,λ∈ℝ+.

In the following we choose h⁢(x)=e−x2 and m⁢(λ)=e−t⁢λ2, t>0. Then

ℱB⁢(h)⁢(λ)=12⁢e−λ24.

Therefore, and by Theorem 3 (i) and Theorem 4 (i) we obtain

fη,h∗,B⁢(y)=12⁢∫01/sj0⁢(λ⁢y)⁢e−λ24η⁢et⁢λ2+e−t⁢λ2⁢λ⁢d⁢λ,

and

TmB⁢(fη,h∗,B)⁢(y)=12⁢∫01/sj0⁢(λ⁢y)⁢e−λ24η⁢e2⁢t⁢λ2+1⁢λ⁢d⁢λ.

Next, taking η→0+ yields

f0,h∗,B⁢(y)=12⁢∫01/sj0⁢(λ⁢y)⁢e(t−14)⁢λ2⁢λ⁢d⁢λ,

and

TmB⁢(f0,h∗,B)⁢(y)=12⁢∫01/sj0⁢(λ⁢y)⁢e−λ24⁢λ⁢d⁢λ.

From (10) we deduce that

(11) f0,h∗,B⁢(y)=12⁢π⁢∫01/s∫0πλ⁢cos⁡(λ⁢y⁢sin⁡τ)⁢e(t−14)⁢λ2⁢d⁢τ⁢d⁢λ,

and

(12) TmB⁢(f0,h∗,B)⁢(y)=12⁢π⁢∫01/s∫0πλ⁢cos⁡(λ⁢y⁢sin⁡τ)⁢e−λ24⁢d⁢τ⁢d⁢λ.

We calculate f0,h∗,B⁢(y) and TmB⁢(f0,h∗,B)⁢(y) for y∈[−10,10], by using the Gauss-Kronrod method and Maple.

Refer to caption
Figure 1. s=1
Refer to caption
Figure 2. s=12
Refer to caption
Figure 3. s=13
Refer to caption
Figure 4. s=14
Refer to caption
Figure 5. s=15
Refer to caption
Figure 6. s=110

In Fig. 6–Fig. 6, we display the plot of f0,h∗,B⁢(y) for y∈[−10,10],t=1 and s=1,12,13,14,15,110.

Refer to caption
Figure 7. s=1
Refer to caption
Figure 8. s=12
Refer to caption
Figure 9. s=15
Refer to caption
Figure 10. s=17
Refer to caption
Figure 11. s=150
Refer to caption
Figure 12. s=1100

In Fig. 12–Fig. 12, we display the plot of f0,h∗,B⁢(y) for y∈[−10,10], t=10−7 and s=1,12,15,17,150,1100.

Refer to caption
Figure 13. s=1
Refer to caption
Figure 14. s=12
Refer to caption
Figure 15. s=15
Refer to caption
Figure 16. s=110
Refer to caption
Figure 17. s=150
Refer to caption
Figure 18. s=1100

In Fig. 18–Fig. 18, we display the plot of TmB⁢(f0,h∗,B)⁢(y) for y∈[−10,10] and s=1,12,15,110,150,1100.

Remark 7.

We notice from Fig. 6–Fig. 6 that for a small value of s and when t is fixed at 1, the stability of the function f0,h∗,B⁢(y) is reached. However, when t approaches 0 (Fig. 12–Fig. 12), the stability of f0,h∗,B⁢(y) is quickly reached and its maximum is maintained over a specific range of s. 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 η→0+ using computers.

b) The Weinstein operator. In this subsection we consider the operator

ΔW:=d2d⁢x12+d2d⁢x22+1x2⁢dd⁢x2.

In this case ρ=0 and φλ1,λ2W⁢(x1,x2)=e−i⁢λ1⁢x1⁢j0⁢(λ2⁢x2). Hence

ℱW⁢(h)⁢(λ1,λ2):=∫𝕂e−i⁢λ1⁢x1⁢j0⁢(λ2⁢x2)⁢h⁢(x1,x2)⁢x2⁢d⁢x1⁢d⁢x2,(λ1,λ2)∈𝕂.

In the following we choose h⁢(x1,x2)=e−(x12+x22) and m⁢(λ1,λ2)=e−t⁢(λ12+λ22), t>0. Then

ℱW⁢(h)⁢(λ1,λ2)=π2⁢e−14⁢(λ12+λ22).

Therefore, and by Theorem 6 (i) and (ii) we obtain

fη,h∗,W⁢(y1,y2)=14⁢π⁢∫−1/s1/s∫01/se−i⁢λ1⁢y1⁢j0⁢(λ2⁢y2)⁢e−14⁢(λ12+λ22)η⁢et⁢(λ12+λ22)+e−t⁢(λ12+λ22)⁢λ2⁢d⁢λ1⁢d⁢λ2,

and

TmW(fη,h∗,W)(y1,y2))=14⁢π∫1/s−1/s∫1/s0e−i⁢λ1⁢y1⁢j0⁢(λ2⁢y2)⁢e−14⁢(λ12+λ22)η⁢e2⁢t⁢(λ12+λ22)+1λ2dλ1dλ2.

Next, taking η→0+ yields

f0,h∗,W⁢(y1,y2) = 14⁢π⁢∫−1/s1/s∫01/se−i⁢λ1⁢y1⁢j0⁢(λ2⁢y2)⁢e(t−14)⁢(λ12+λ22)⁢λ2⁢d⁢λ1⁢d⁢λ2
= f0,h∗,1⁢(y1).f0,h∗,2⁢(y2),

where

f0,h∗,1⁢(y1)=12⁢π⁢∫−1/s1/se−i⁢λ1⁢y1⁢e(t−14)⁢λ12⁢d⁢λ1

and

f0,h∗,2⁢(y2)=12⁢∫01/sj0⁢(λ2⁢y2)⁢e(t−14)⁢λ22⁢λ2⁢d⁢λ2.

Furthermore

TmW⁢(f0,h∗,W)⁢(y1,y2) = 14⁢π⁢∫−1/s1/s∫01/se−i⁢λ1⁢y1⁢j0⁢(λ2⁢y2)⁢e−14⁢(λ12+λ22)⁢λ2⁢d⁢λ1⁢d⁢λ2
= TmW⁢f0,h∗,1⁢(y1).TmW⁢f0,h∗,2⁢(y2),

where

TmW⁢(f0,h∗,1)⁢(y1)=12⁢π⁢∫−1/s1/se−i⁢λ1⁢y1⁢e−14⁢λ12⁢d⁢λ1

and

TmW⁢(f0,h∗,2)⁢(y2)=12⁢∫01/sj0⁢(λ2⁢y2)⁢e−14⁢λ22⁢λ2⁢d⁢λ2.

From (11) and (12) we deduce that

f0,h∗,2⁢(y2)=12⁢π⁢∫01/s∫0πλ⁢cos⁡(λ2⁢y2⁢sin⁡τ)⁢e(t−14)⁢λ22⁢d⁢τ⁢d⁢λ2,

and

TmW⁢(f0,h∗,2)⁢(y2)=12⁢π⁢∫01/s∫0πλ2⁢cos⁡(λ2⁢y2⁢sin⁡τ)⁢e−λ224⁢d⁢τ⁢d⁢λ2.

We calculate f0,h∗,W⁢(y1,y2) and TmW⁢f0,h∗,W⁢(y1,y2) for (y1,y2)∈[−10,10]×[0,10], by using the Gauss-Kronrod method and Maple.

Refer to caption
Figure 19. s=1
Refer to caption
Figure 20. s=12
Refer to caption
Figure 21. s=13
Refer to caption
Figure 22. s=14
Refer to caption
Figure 23. s=15
Refer to caption
Figure 24. s=110

In Fig. 24–Fig. 24, we display the plot of f0,h∗,W⁢(y1,y2) for (y1,y2)∈[−10,10]×[0,10], t=1 and s=1,12,13,14,15,110.

Refer to caption
Figure 25. s=1
Refer to caption
Figure 26. s=12
Refer to caption
Figure 27. s=13
Refer to caption
Figure 28. s=110
Refer to caption
Figure 29. s=150
Refer to caption
Figure 30. s=1100

In Fig. 30–Fig. 30, we display the plot of TmW⁢(f0,h∗,W)⁢(y1,y2) for (y1,y2)∈[−10,10]×[0,10] and s=1,12,13,110,150,1100.

Remark 8.

We notice from Figures Fig. 24–Fig. 24 that for a small value of s and when t is fixed at 1, the stability of the function f0,h∗,W⁢(y1,y2) 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 η→0+ using computers.

Acknowledgements.

The authors are deeply grateful to the referees for their constructive comments and valuable suggestions.

References