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

ΔSL:=d2dx2+A(x)A(x)ddx,x+,

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

ΔGW:=d2dx12+d2dx22+A(x2)A(x2)ddx2,(x1,x2)×+.

We define and study the multiplier operators TmSL and TmGW associated with the operators ΔSL and ΔGW, next, we introduce and study the extremal functions fη,h,SL and fη,h,GW. The special cases f0,h,SL and f0,h,GW are the solutions of a Tikhonov problems.

We present the numerical results associated with f0,h,SL and f0,h,GW in two versions. The first is in two dimensions, related to the operator ΔSL, and the second in three dimensions, related to the operator ΔGW.

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) inffHK{T(f)hH2},

where hH is given. If there exists fhHK 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) inffHK{ηfHK2+T(f)hH2},

is always solvable for all η>0 and we obtain a method for determine the extremal function fη,hHK 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,hfhasη0+,

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

ΔSL:=d2dx2+AA(x)ddx,x+,

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)

SL(f)(λ):=0φλSL(x)f(x)A(x)dx,λ+,

where φλSL 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 SL (see [10, 15, 16, 17, 18, 19, 22, 23]).

We define the Paley-Wiener type space 𝒫sSL, s>0, associated with the SL-transform SL, as

𝒫sSL:=SL1(χsL2(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 mL(ν). We define the SL-multiplier operators TmSL for fL2(μ), by

TmSL(f):=SL1(mSL(f)).

Let mL(ν). The main goal of the paper is to study the Tikhonov regularization problem

inff𝒫sSL{ηf𝒫sSL2+hTmSL(f)L2(μ)2},

where hL2(μ) and η>0. First this problem has a unique solution (see [12]) denoted by fη,h,SL and is given by

fη,h,SL(y):=(ηI+TmSL,TmSL)1TmSL,(h)(y),y+,

where I is the unit operator and TmSL,:L2(μ)𝒫sSL is the adjoint of TmSL.

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

(i) TmSL(fη,h,SL)(y)=+χs(λ)φλSL(y)|m(λ)|2SL(h)(λ)η+|m(λ)|2dν(λ),

(ii) TmSL(fη,h,SL)(y)=fη,TmSL(h),SL(y),

(iii) limη0+TmSL(fη,h,SL)SsSL(h)L2(μ)=0,

(iv) limη0+TmSL(fη,h,SL)(y)=SsSL(h)(y), y+,
where SsSL is the partial sum operator associated with the SL-transform SL.

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

ΔGW:=d2dx12+ΔSL|x2,(x1,x2)×+.

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

dμ(x1,x2):=dx1dμ(x2),dν(λ1,λ2):=12πdλ1dν(λ2).

The generalized Weinstein transform GW (GW-transform) is defined for fL1(μ) by

GW(f)(λ1,λ2):=𝕂φλ1,λ2GW(x1,x2)f(x1,x2)dμ(x1,x2),(λ1,λ2)𝕂,

where φλ1,λ2GW(x1,x2)=eiλ1x1φλ2(x2) is the generalized Weinstein kernel (GW-kernel). This transform satisfies a Plancherel and an inversion formula.

Let mL(ν). The generalized Weinstein multiplier operators TmGW (GW-multiplier operators), are defined for fL2(μ) by

TmGW(f):=GW1(mGW(f)).

We define the Paley-Wiener type space 𝒫sGW, s>0, associated with the GW-transform GW, as

𝒫sGW:=GW1(χsL2(ν)),

where

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

Let mL(ν). For any hL2(μ) and for any η>0, the Tikhonov regularization problem

inff𝒫sGW{ηf𝒫sGW2+hTmGW(f)L2(μ)2},

has a unique solution denoted also by fη,h,GW and is given by

fη,h,GW(y1,y2):=(ηI+TmGW,TmGW)1TmGW,(h)(y1,y2),(y1,y2)𝕂,

where TmGW,:L2(μ)𝒫sGW is the adjoint of TmGW.

Using the properties of the GW-transform GW, the extremal function fη,h,GW satisfies the following properties.

(i) TmGW(fη,h,GW)(y1,y2)=

=𝕂χs(λ1,λ2)φλ1,λ2GW(y1,y2)|m(λ1,λ2)|2GW(h)(λ1,λ2)η+|m(λ1,λ2)|2dν(λ1,λ2).

(ii) TmGW(fη,h,GW)(y1,y2)=fη,TmGW(h),GW(y1,y2).

(iii) limη0+TmGW(fη,h,GW)SsGW(h)L2(μ)=0.

(iv) limη0+TmGW(fη,h,GW)(y1,y2)=SsGW(h)(y1,y2), (y1,y2)𝕂,
where SsGW is the partial sum operator associated with the GW-transform GW.

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

ΔB:=d2dx2+1xddx,

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

ΔW:=d2dx12+d2dx22+1x2ddx2.

The paper is organized as follows. In Section 2 we recall some results about the SL-operator ΔSL and the SL-transform SL. In Section 3 we study two Tikhonov regularization problems associated with the SL-operator ΔSL and the GW-operator ΔGW, 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 ΔSL defined on + by

ΔSL:=d2dx2+A(x)A(x)ddx,

where

A(x)=x2α+1B(x),α>1/2,

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

(i) A is increasing and limxA(x)=.

(ii) AA is decreasing and limxA(x)A(x)=2ρ0.

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

A(x)A(x)=2ρ+eδxD(x), if ρ>0,
A(x)A(x)=2α+1x+eδxD(x), if ρ=0,

where D is an infinitely differentiable function on +, 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, the equation

{ΔSL(u)=(λ2+ρ2)uu(0)=1,u(0)=0

admits a unique solution, denoted by φλSL, with the following properties:

for x+, the function λφλSL(x) is analytic on ;

for λ, the function xφλSL(x) is even and infinitely differentiable on .

(II) For nonzero λ, the equation

ΔSL(u)=(λ2+ρ2)u,

has a solution Φλ satisfying

Φλ(x)=eiλxA(x)V(x,λ),

with

limxV(x,λ)=1.

Consequently there exists a function (spectral function) λc(λ), such that

φλSL(x)=c(λ)Φλ(x)+c(λ)Φλ(x),x+,

for nonzero λ.

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

k1|λ|2α+1|c(λ)|2k2|λ|2α+1,

for all λ such that Imλ0 and |λ|k.

(III) The SL-function φλSL(x); λ,x+, possesses the following property

(3) |φλSL(x)|1.

Notation. We denote by

μ the measure defined on + by dμ(x):=A(x)dx; and by Lp(μ), p[1,], the space of measurable functions f on +, such that

fLp(μ):=[+|f(x)|pdμ(x)]1/p<,p[1,),
fL(μ):= esssupx+|f(x)|<;

ν the measure defined on + by dν(λ):=dλ2π|c(λ)|2; and by Lp(ν), p[1,], the space of measurable functions f on +, such that fLp(ν)<.

The SL-transform is the Fourier transform associated with the operator ΔSL and is defined for fL1(μ) by

SL(f)(λ):=+φλSL(x)f(x)dμ(x),λ+.

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

Theorem 1.
  • (i)

    L1L-boundedness for SL. For all fL1(μ), SL(f)L(ν) and

    SL(f)L(ν)fL1(μ).
  • (ii)

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

    fL2(μ)=SL(f)L2(ν).
  • (iii)

    Inversion theorem for SL. Let fL1(μ), such that SL(f)L1(ν). Then

    f(x)=+φλSL(x)SL(f)(λ)dν(λ),a.e.x+.

Let s>0 and χs be the function defined by

χs(λ):=χ(0,1/s)(λ),λ+,

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

We define the Paley-Wiener type space 𝒫sSL, as

𝒫sSL:=SL1(χsL2(ν)).

We see that any element f𝒫sSL is represented uniquely by a function FL2(ν) in the form

f=SL1(χsF).

The space 𝒫sSL equipped with the norm

f𝒫sSL:=FL2(ν)=[+|F(λ)|2dν(λ)]1/2.
Theorem 2.

The space 𝒫sSL satisfies

SL(𝒫sSL)L1L2(ν),

and has the reproducing kernel

Ks(x,y)=+χs(λ)φλSL(x)φλSL(y)dν(λ).
Proof.

Let f𝒫sSL. The inclusion follows from the inequality

SL(f)L1(ν)Asf𝒫sSL,

where

As:=[+χs(λ)dν(λ)]1/2.

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

SL(Ks(.,y))(λ)=χs(λ)φλSL(y),y+.

By (3), we get

Ks(.,y)𝒫sSL=[+χs(λ)|φλSL(y)|2dν(λ)]1/2As<.

Moreover,

f,Ks(.,y)𝒫sSL=+SL(f)(λ)φλSL(y)dν(λ)=f(y).

This completes the proof of the theorem. ∎

Let mL(ν). The SL-multiplier operators TmSL, are defined for fL2(μ) by

(4) TmSL(f):=SL1(mSL(f)).

Let mL(ν). By Theorem 1 (ii), the operators TmSL are bounded from L2(μ) into L2(μ), and

(5) TmSL(f)L2(μ)mL(ν)fL2(μ).

Let mL(ν). By (5), the SL-multiplier operators TmSL are bounded from 𝒫sSL into L2(μ), and

TmSL(f)L2(μ)mL(ν)f𝒫sSL.

For example, the partial sum operator SsSL defined by

SsSL(f):=SL1(χsSL(f)),

is a SL-multiplier operator and satisfies SsSL(f)L2(μ)f𝒫sSL.

Let η>0. We denote by .,.η,𝒫sSL the inner product defined on the space 𝒫sSL by

f,gη,𝒫sSL:=ηf,g𝒫sSL+TmSL(f),TmSL(g)L2(μ).

Let η>0 and let mL(ν). The space 𝒫sSL equipped with the norm .η,𝒫sSL has the reproducing kernel

Ks,η(x,y)=+χs(λ)φλSL(x)φλSL(y)η+|m(λ)|2dν(λ).

Therefore, we have the functional equation

(6) (ηI+TmSL,TmSL)Ks,η(.,y)=Ks(.,y),y+,

where TmSL,:L2(μ)𝒫sSL is the adjoint of TmSL.

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 hL2(μ) and for any η>0, the Tikhonov regularization problem

inff𝒫sSL{ηf𝒫sSL2+hTmSL(f)L2(μ)2}

has a unique solution (see [12]) denoted also by fη,h,SL and is given by

(7) fη,h,SL(y):=(ηI+TmSL,TmSL)1TmSL,(h)(y),y+.

This function possesses the following integral representation.

Theorem 3.

Let mL(ν). Then for any hL2(μ) and for any η>0, we have

  • (i)

    fη,h,SL(y)=+χs(λ)φλSL(y)m(λ)¯SL(h)(λ)η+|m(λ)|2dν(λ).

  • (ii)

    fη,h,SL𝒫sSL12ηhL2(μ).

Proof.

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

fη,h,SL(y) = (ηI+TmSL,TmSL)1TmSL,(h),Ks(.,y)𝒫sSL
= TmSL,(h),(ηI+TmSL,TmSL)1Ks(.,y)𝒫sSL
= TmSL,(h),Ks,η(.,y)𝒫sSL.

Hence

fη,h,SL(y)=h,TmSL(Ks,η(.,y))L2(μ).

By (3), the function λχs(λ)φλSL(y)η+|m(λ)|2 belongs to L1L2(ν). Then from Theorem 1 (ii), it follows that Ks,η(.,y) belongs to L2(μ), and

(8) SL(Ks,η(.,y))(λ)=χs(λ)φλSL(y)η+|m(λ)|2,y+.

By Theorem 1 (ii) and (8), we have

fη,h,SL(y) = +SL(h)(λ)m(λ)SL(Ks,η(.,y))(λ)¯dν(λ)
= +χs(λ)φλSL(y)m(λ)¯SL(h)(λ)η+|m(λ)|2dν(λ).

(ii) The function

λχs(λ)m(λ)¯SL(h)(λ)η+|m(λ)|2,

belongs to L1L2(ν). Then by (i), it follows that fη,h,SL belongs to L2(μ), and

(9) SL(fη,h,SL)(λ)=χs(λ)m(λ)¯SL(h)(λ)η+|m(λ)|2.

Since [η+|m(λ)|2]24η|m(λ)|2, we obtain

fη,h,SL𝒫sSL2 = +|m(λ)|2|SL(h)(λ)|2[η+|m(λ)|2]2dν(λ)
14η+|SL(h)(λ)|2dν(λ)=14ηhL2(μ)2.

The theorem is proved. ∎

In the following we establish some properties for the extremal function fη,h,SL.

Theorem 4.

Let mL(ν). For any hL2(μ) and for any η>0, we have

  • (i)

    TmSL(fη,h,SL)(y)=+χs(λ)φλSL(y)|m(λ)|2SL(h)(λ)η+|m(λ)|2dν(λ).

  • (ii)

    TmSL(fη,h,SL)(y)=fη,TmSL(h)(y).

  • (iii)

    limη0+TmSL(fη,h,SL)SsSL(h)L2(μ)=0.

  • (iv)

    limη0+TmSL(fη,h,SL)(y)=SsSL(h)(y), y+.

Proof.

By (4) and (9), we have

TmSL(fη,h,SL)(y)=SL1(χs(λ)|m(λ)|2SL(h)(λ)η+|m(λ)|2)(y).

The function

λχs(λ)|m(λ)|2SL(h)(λ)η+|m(λ)|2

belongs to L1L2(ν). Then by Theorem 1 (iii), we obtain (i).

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

From (i), we have

SL(TmSL(fη,h,SL)SsSL(h))(λ)=ηχs(λ)SL(h)(λ)η+|m(λ)|2.

Consequently,

TmSL(fη,h,SL)SsSL(h)L2(μ)2=+η2χs(λ)|SL(h)(λ)|2[η+|m(λ)|2]2dν(λ).

Using the dominated convergence theorem and the fact that

η2χs(λ)|SL(h)(λ)|2[η+|m(λ)|2]2|SL(h)(λ)|2,

we deduce (iii).

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

TmSL(fη,h,SL)(y)SsSL(h)(y)=η+φλSL(y)χs(λ)SL(h)(λ)η+|m(λ)|2dν(λ).

Using the dominated convergence theorem and the fact that

ηχs(λ)|SL(f)(λ)|η+|m(λ)|2χs(λ)|SL(h)(λ)|,

we obtain (iv). ∎

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

ΔGW:=d2dx12+d2dx22+A(x2)A(x2)ddx2=d2dx12+ΔSL|x2,(x1,x2)×+.

For any (λ1,λ2)𝕂:=×+, the system

ΔGW(u)(x1,x2)=(λ22+ρ2)u(x1,x2),
2ux12(x1,x2)=λ12u(x1,x2),
u(0,0)=1,ux2(0,0)=0,ux1(0,0)=iλ1.

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

φλ1,λ2GW(x1,x2)=eiλ1x1φλ2(x2).

For (x1,x2),(λ1,λ2)𝕂, the kernel φλ1,λ2GW(x1,x2) satisfies

|φλ1,λ2GW(x1,x2)|1.

Notation. We denote by

μ the measure defined on 𝕂 by dμ(x1,x2):=dx1dμ(x2); and by Lp(μ), p[1,], the space of measurable functions f on 𝕂, such that fLp(μ)<.

ν the measure defined on 𝕂 by dν(λ1,λ2):=12πdλ1dν(λ2); and by Lp(ν), p[1,], the space of measurable functions f on +, such that fLp(ν)<.

The generalized Weinstein transform is the Fourier transform associated with the operator ΔGW and is defined for fL1(μ) by

GW(f)(λ1,λ2):=𝕂φλ1,λ2GW(x1,x2)f(x1,x2)dμ(x1,x2),(λ1,λ2)𝕂.

This transform satisfies the following properties.

Theorem 5.
  • (i)

    L1L-boundedness for GW. For all fL1(μ), GW(f)L(ν) and

    GW(f)L(ν)fL1(μ).
  • (ii)

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

    fL2(μ)=GW(f)L2(ν).
  • (iii)

    Inversion theorem for GW. Let fL1(μ), such that GW(f)L1(ν). Then

    f(x)=𝕂φλ1,λ2GW(x1,x2)GW(f)(λ1,λ2)dν(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 𝒫sGW, as

𝒫sGW:=GW1(χsL2(ν)).

We see that any element f𝒫sGW is represented uniquely by a function FL2(ν) in the form

f=GW1(χsF).

The space 𝒫sGW equipped with the norm

f𝒫sGW:=FL2(ν)=[𝕂|F(λ1,λ2)|2dν(λ1,λ2)]1/2.

The space 𝒫sGW satisfies

GW(𝒫sGW)L1L2(ν),

and has the reproducing kernel

Ks((x1,x2),(y1,y2))=𝕂χs(λ1,λ2)φλ1,λ2GW(x1,x2))φGWλ1,λ2(y1,y2)dν(λ1,λ2).

Let mL(ν). The GW-multiplier operators TmGW, are defined for fL2(μ) by

TmGW(f):=GW1(mGW(f)).

Let mL(ν). The operators TmGW are bounded from L2(μ) into L2(μ), and

TmGW(f)L2(μ)mL(ν)fL2(μ).

Let mL(ν). The GW-multiplier operators TmGW are bounded from 𝒫sGW into L2(μ), and

TmGW(f)L2(μ)mL(ν)f𝒫sGW.

For example, the partial sum operator SsGW defined by

SsGW(f):=GW1(χsGW(f)),

is a GW-multiplier operator and satisfies SsGW(f)L2(μ)f𝒫sGW.

For any hL2(μ) and for any η>0, the Tikhonov regularization problem

inff𝒫sGW{ηf𝒫sGW2+hTmGW(f)L2(μ)2}

has a unique solution (see [12]) denoted by fη,h,GW and is given by

fη,h,GW(y1,y2):=(ηI+TmGW,TmGW)1TmGW,(h)(y1,y2),(y1,y2)𝕂,

where TmGW,:L2(μ)𝒫sGW is the adjoint of TmGW.

This function possesses the following properties.

Theorem 6.

Let mL(ν). For any hL2(μ) and for any η>0, we have

  • (i)

    fη,h,GW(y1,y2)=𝕂χs(λ1,λ2)φλ1,λ2GW(y1,y2)m(λ1,λ2)¯GW(h)(λ1,λ2)η+|m(λ1,λ2)|2dν(λ1,λ2).

  • (ii)

    TmGW(fη,h,SL)(y1,y2)=
    =𝕂χs(λ1,λ2)φλ1,λ2GW(y1,y2)|m(λ1,λ2)|2GW(h)(λ1,λ2)η+|m(λ1,λ2)|2dν(λ1,λ2).

  • (iii)

    TmGW(fη,h,SL)(y1,y2)=fη,TmGW(h),GW(y1,y2).

  • (iv)

    limη0+TmGW(fη,h,GW)SsGW(h)L2(μ)=0.

  • (v)

    limη0+TmGW(fη,h,GW)(y1,y2)=SsGW(h)(y1,y2), (y1,y2)𝕂.

4. Numerical results for the limit case η0+

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

inff𝒫sB{hTmB(f)L2(μ)2},

where hL2(μ). The solution of this problem will be denoted by f0,h,B. And the second application concerning the solution of the Tikhonov problem

inff𝒫sW{hTmW(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:=d2dx2+1xddx.

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

(10) j0(x)=1π0πcos(xsint))dt=n=0(1)n22n(n!)2x2n.

Hence

B(h)(λ):=+j0(λx)h(x)xdx,λ+.

In the following we choose h(x)=ex2 and m(λ)=etλ2, t>0. Then

B(h)(λ)=12eλ24.

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

fη,h,B(y)=1201/sj0(λy)eλ24ηetλ2+etλ2λdλ,

and

TmB(fη,h,B)(y)=1201/sj0(λy)eλ24ηe2tλ2+1λdλ.

Next, taking η0+ yields

f0,h,B(y)=1201/sj0(λy)e(t14)λ2λdλ,

and

TmB(f0,h,B)(y)=1201/sj0(λy)eλ24λdλ.

From (10) we deduce that

(11) f0,h,B(y)=12π01/s0πλcos(λysinτ)e(t14)λ2dτdλ,

and

(12) TmB(f0,h,B)(y)=12π01/s0πλcos(λysinτ)eλ24dτdλ.

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
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Figure 2. s=12
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Figure 3. s=13
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Figure 4. s=14
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Figure 5. s=15
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Figure 6. s=110

In Fig. 6Fig. 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
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Figure 8. s=12
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Figure 9. s=15
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Figure 10. s=17
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Figure 11. s=150
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Figure 12. s=1100

In Fig. 12Fig. 12, we display the plot of f0,h,B(y) for y[10,10], t=107 and s=1,12,15,17,150,1100.

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

In Fig. 18Fig. 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. 6Fig. 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. 12Fig. 12), the stability of f0,h,B(y) is quickly reached and its maximum is maintained over a specific range of s. Fig. 18Fig. 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 η0+ using computers.

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

ΔW:=d2dx12+d2dx22+1x2ddx2.

In this case ρ=0 and φλ1,λ2W(x1,x2)=eiλ1x1j0(λ2x2). Hence

W(h)(λ1,λ2):=𝕂eiλ1x1j0(λ2x2)h(x1,x2)x2dx1dx2,(λ1,λ2)𝕂.

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

W(h)(λ1,λ2)=π2e14(λ12+λ22).

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

fη,h,W(y1,y2)=14π1/s1/s01/seiλ1y1j0(λ2y2)e14(λ12+λ22)ηet(λ12+λ22)+et(λ12+λ22)λ2dλ1dλ2,

and

TmW(fη,h,W)(y1,y2))=14π1/s1/s1/s0eiλ1y1j0(λ2y2)e14(λ12+λ22)ηe2t(λ12+λ22)+1λ2dλ1dλ2.

Next, taking η0+ yields

f0,h,W(y1,y2) = 14π1/s1/s01/seiλ1y1j0(λ2y2)e(t14)(λ12+λ22)λ2dλ1dλ2
= f0,h,1(y1).f0,h,2(y2),

where

f0,h,1(y1)=12π1/s1/seiλ1y1e(t14)λ12dλ1

and

f0,h,2(y2)=1201/sj0(λ2y2)e(t14)λ22λ2dλ2.

Furthermore

TmW(f0,h,W)(y1,y2) = 14π1/s1/s01/seiλ1y1j0(λ2y2)e14(λ12+λ22)λ2dλ1dλ2
= TmWf0,h,1(y1).TmWf0,h,2(y2),

where

TmW(f0,h,1)(y1)=12π1/s1/seiλ1y1e14λ12dλ1

and

TmW(f0,h,2)(y2)=1201/sj0(λ2y2)e14λ22λ2dλ2.

From (11) and (12) we deduce that

f0,h,2(y2)=12π01/s0πλcos(λ2y2sinτ)e(t14)λ22dτdλ2,

and

TmW(f0,h,2)(y2)=12π01/s0πλ2cos(λ2y2sinτ)eλ224dτdλ2.

We calculate f0,h,W(y1,y2) and TmWf0,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
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Figure 20. s=12
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Figure 21. s=13
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Figure 22. s=14
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Figure 23. s=15
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Figure 24. s=110

In Fig. 24Fig. 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.

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

In Fig. 30Fig. 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. 24Fig. 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. 30Fig. 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 η0+ using computers.

Acknowledgements.

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

References