Top Banner
Toksoy and Sandıkçı Journal of Inequalities and Applications (2015) 2015:87 DOI 10.1186/s13660-015-0609-4 RESEARCH Open Access On function spaces with fractional Fourier transform in weighted Lebesgue spaces Erdem Toksoy and Ay¸ se Sandıkçı * Dedicated to Professor Ravi P Agarwal. * Correspondence: [email protected] Department of Mathematics, Faculty of Arts and Sciences, Ondokuz Mayıs University, Samsun, Turkey Abstract Let w and ω be weight functions on R d . In this work, we define A w,ω α,p (R d ) to be the vector space of f L 1 w (R d ) such that the fractional Fourier transform F α f belongs to L p ω (R d ) for 1 p < . We endow this space with the sum norm f A w,ω α,p = f 1,w + F α f p,ω and show that A w,ω α,p (R d ) becomes a Banach space and invariant under time-frequency shifts. Further we show that the mapping y T y f is continuous from R d into A w,ω α,p (R d ), the mapping z M z f is continuous from R d into A w,ω α,p (R d ) and A w,ω α,p (R d ) is a Banach module over L 1 w (R d ) with convolution operation. At the end of this work, we discuss inclusion properties of these spaces. Keywords: fractional Fourier transform; convolution; Banach module 1 Introduction In this work, for any function f : R d C, the translation and modulation operator are defined as T x f (t )= f (t x) and M w f (t )= e iwt f (t ) for all y, w R d , respectively. Also we write the Lebesgue space (L p (R d ), · p ), for p < . Let w be a weight function on R d , that is, a measurable and locally bounded function w satisfying w(x) and w(x + y) w(x)w(y) for all x, y R d . We define, for p < , L p w ( R d ) = f |fw L p ( R d ) . It is well known that L p w (R d ) is a Banach space under the norm f p,w = fw p . Let w and w are two weight functions. We say that w w if there exists c > , such that w (x) cw (x) for all x R d [, ]. The Fourier transform ˆ f (or F f ) of f L (R) is given by ˆ f (w)= π +f (t )e iwt dt . The fractional Fourier transform is a generalization of the Fourier transform with a pa- rameter α and can be interpreted as a rotation by an angle α in the time-frequency plane. The fractional Fourier transform with angle α of a function f is defined by F α f (u)= +K α (u, t )f (t ) dt , © 2015 Toksoy and Sandıkçı; licensee Springer. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited.
10

On function spaces with fractional Fourier transform in ...

Apr 27, 2023

Download

Documents

Khang Minh
Welcome message from author
This document is posted to help you gain knowledge. Please leave a comment to let me know what you think about it! Share it to your friends and learn new things together.
Transcript
Page 1: On function spaces with fractional Fourier transform in ...

Toksoy and Sandıkçı Journal of Inequalities and Applications (2015) 2015:87 DOI 10.1186/s13660-015-0609-4

R E S E A R C H Open Access

On function spaces with fractional Fouriertransform in weighted Lebesgue spacesErdem Toksoy and Ayse Sandıkçı*

Dedicated to Professor Ravi P Agarwal.

*Correspondence:[email protected] of Mathematics,Faculty of Arts and Sciences,Ondokuz Mayıs University, Samsun,Turkey

AbstractLet w and ω be weight functions on R

d . In this work, we define Aw,ωα,p (Rd) to be the

vector space of f ∈ L1w(Rd) such that the fractional Fourier transform Fα f belongs to

Lpω(Rd) for 1 ≤ p <∞. We endow this space with the sum norm ‖f‖Aw,ωα,p= ‖f‖1,w +

‖Fα f‖p,ω and show that Aw,ωα,p (Rd) becomes a Banach space and invariant under

time-frequency shifts. Further we show that the mapping y → Tyf is continuous fromR

d into Aw,ωα,p (Rd), the mapping z → Mzf is continuous from R

d into Aw,ωα,p (Rd) and

Aw,ωα,p (Rd) is a Banach module over L1w(R

d) with � convolution operation. At the end ofthis work, we discuss inclusion properties of these spaces.

Keywords: fractional Fourier transform; convolution; Banach module

1 IntroductionIn this work, for any function f : Rd → C, the translation and modulation operator aredefined as Txf (t) = f (t – x) and Mwf (t) = eiwtf (t) for all y, w ∈ R

d , respectively. Also wewrite the Lebesgue space (Lp(Rd),‖ · ‖p), for ≤ p < ∞. Let w be a weight function on R

d ,that is, a measurable and locally bounded function w satisfying w(x) ≥ and w(x + y) ≤w(x)w(y) for all x, y ∈ R

d . We define, for ≤ p < ∞,

Lpw(R

d) ={

f |fw ∈ Lp(R

d)}.

It is well known that Lpw(Rd) is a Banach space under the norm ‖f ‖p,w = ‖fw‖p.

Let w and w are two weight functions. We say that w ≺ w if there exists c > , suchthat w(x) ≤ cw(x) for all x ∈R

d [, ].The Fourier transform f (or F f ) of f ∈ L(R) is given by

f (w) =√π

∫ +∞

–∞f (t)e–iwt dt.

The fractional Fourier transform is a generalization of the Fourier transform with a pa-rameter α and can be interpreted as a rotation by an angle α in the time-frequency plane.The fractional Fourier transform with angle α of a function f is defined by

Fαf (u) =∫ +∞

–∞Kα(u, t)f (t) dt,

© 2015 Toksoy and Sandıkçı; licensee Springer. This is an Open Access article distributed under the terms of the Creative CommonsAttribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproductionin any medium, provided the original work is properly credited.

Page 2: On function spaces with fractional Fourier transform in ...

Toksoy and Sandıkçı Journal of Inequalities and Applications (2015) 2015:87 Page 2 of 10

where

Kα(u, t) =

⎧⎪⎪⎨

⎪⎪⎩

√–i cotα

πei( u+t

) cotα–iut cosecα , if α is not multiple of π ,δ(t – u), if α = kπ , k ∈ Z,δ(t + u), if α = (k + )π , k ∈ Z,

and δ is a Dirac delta function. The fractional Fourier transform with α = π corresponds

to the Fourier transform [–].The fractional Fourier transform can be extended to higher dimensions as []:

(Fα,...,αn f )(u, . . . , un)

=∫ +∞

–∞· · ·

∫ +∞

–∞Kα,...,αn (u, . . . , un; t, . . . , tn)f (t, . . . , tn) dt · · · dtn,

or shortly

Fαf (u) =∫ +∞

–∞· · ·

∫ +∞

–∞Kα(u, t)f (t) dt,

where

Kα(u, t) = Kα,...,αn (u, . . . , un; t, . . . , tn) = Kα (u, t)Kα (u, t) · · ·Kαn (un, tn).

In this work we define the function spaces with fractional Fourier transform in weightedLebesgue spaces and discuss some properties of these spaces.

2 On function spaces with fractional Fourier transform in weighted Lebesguespaces

Definition Let w and ω be weight functions on Rd and ≤ p < ∞. The space Aw,ω

α,p (Rd)consist of all f ∈ L

w(Rd) such that Fαf ∈ Lpω(Rd). The norm on the vector space Aw,ω

α,p (Rd)is

‖f ‖Aw,ωα,p = ‖f ‖,w + ‖Fαf ‖p,ω.

Theorem (Aw,ωα,p (Rd),‖ · ‖Aw,ω

α,p ) is a Banach space for ≤ p < ∞.

Proof Let (fn)n∈N is a Cauchy sequence in Aw,ωα,p (Rd). Thus (fn)n∈N and (Fαfn)n∈N are Cauchy

sequences in Lw(Rd) and Lp

ω(Rd), respectively. Since Lw(Rd) and Lp

ω(Rd) are Banach spaces,there exist f ∈ L

w(Rd) and g ∈ Lpω(Rd) such that ‖fn – f ‖,w → , ‖Fαfn – g‖p,ω → and

hence ‖fn – f ‖ → and ‖Fαfn – g‖p → . Then (Fαfn)n∈N has a subsequence (Fαfnk )nk∈Nthat converges pointwise to g almost everywhere. Also it is easy to see that ‖fnk – f ‖ → .Then we have

∣∣Fαf (u) – g(u)

∣∣ ≤ ∣

∣Fα(fnk – f )(u)∣∣ +

∣∣Fαfnk (u) – g(u)

∣∣

≤d∏

j=

∣∣∣∣

√ – i cotαj

π

∣∣∣∣

Page 3: On function spaces with fractional Fourier transform in ...

Toksoy and Sandıkçı Journal of Inequalities and Applications (2015) 2015:87 Page 3 of 10

×∫

Rd

∣∣(fnk – f )(t)∣∣∣∣e

∑dj= ( i

(uj+tj) cotαj–iujtj cosecαj)∣∣dt

+∣∣Fαfnk (u) – g(u)

∣∣

=d∏

j=

∣∣∣∣

√ – i cotαj

π

∣∣∣∣‖fnk – f ‖ +

∣∣Fαfnk (u) – g(u)

∣∣.

From this inequality, we obtain Fαf = g almost everywhere. Thus ‖fn – f ‖Aw,ωα,p

→ andf ∈ Aw,ω

α,p (Rd). Hence (Aw,ωα,p (Rd),‖ · ‖Aw,ω

α,p ) is a Banach space. �

The following proposition is generalization of the one-dimensional and two-dimen-sional versions. The proof of this proposition is very similar to the proofs of one-dimensional and two-dimensional versions in [, , , ], and we omit the details.

Proposition Let α = (α,α, . . . ,αd), where αi = kπ for each index i with ≤ i ≤ d andk ∈ Z. Then

() Fα(Tyf )(u) = e∑d

j= ( i y

j sinαj cosαj–iujyj sinαj)Fαf (u – y cosα, . . . , ud – yd cosαd) ()

for all f ∈ L(Rd) and y ∈Rd ;

() Fα(Mvf )(u) = e∑d

j= (– i v

j sinαj cosαj+iujvj cosαj)Fαf (u – v sinα, . . . , ud – vd sinαd)

for all f ∈ L(Rd) and v ∈Rd .

Theorem Let α = (α,α, . . . ,αd), where αi = kπ for each index i with ≤ i ≤ d andk ∈ Z.

() Let ≤ p < ∞, w and ω be weight functions on Rd . Then the space Aw,ω

α,p (Rd) istranslation invariant.

() Let ω be a bounded weight function on Rd . Then the mapping y → Tyf of Rd into

Aw,ωα,p (Rd) is continuous.

Proof () Let f ∈ Aw,ωα,p (Rd). Then f ∈ L

w(Rd) and Fαf ∈ Lpω(Rd). It is well known that the

space Lw(Rd) is translation invariant and holds ‖Tyf ‖,w ≤ w(y)‖f ‖,w for all y ∈ R

d [].Let b = (y cosα, . . . , yd cosαd). By using the equality (), we get

∥∥Fα(Tyf )∥∥

p,ω =(∫

Rd

∣∣Fα(Tyf )(u)∣∣p

ωp(u) du)

p

=(∫

Rd

∣∣Fαf (u – y cosα, . . . , ud – yd cosαd)∣∣p

× ∣∣e

∑dj= ( i

yj sinαj cosαj–iujyj sinαj)∣∣pωp(u) du

) p

≤(∫

Rd

∣∣Fαf (u – b)∣∣p

ωp(u – b)ωp(b) du)

p

= ω(b)‖Fαf ‖p,ω

Page 4: On function spaces with fractional Fourier transform in ...

Toksoy and Sandıkçı Journal of Inequalities and Applications (2015) 2015:87 Page 4 of 10

for all y ∈Rd . Hence, we have

‖Tyf ‖Aw,ωα,p ≤ w(y)‖f ‖,w + ω(b)‖Fαf ‖p,ω < ∞.

This means that Aw,ωα,p (Rd) is translation invariant.

() Let f ∈ Aw,ωα,p (Rd). We will show that if limn→∞ yn = for any sequence (yn)n∈N ⊂ R

d ,then limn→∞ Tyn f = f , which will complete the proof. It is well known that the mappingy → Tyf is continuous from R

d into Lw(Rd) (see []). Thus, we have

‖Tyn f – f ‖,w → ()

as n → ∞. Also,

∥∥Fα(Tyn f – f )∥∥

p,ω =∥∥Fα(Tyn f ) – Fαf

∥∥p,ω

=∥∥e

∑dj= ( i

(yjn)

sinαj cosαj–iujy

jn sinαj)T(y

n cosα,...,ydn cosαd)(Fαf ) – Fαf

∥∥p,ω

≤ ∥∥(

T(yn cosα,...,yd

n cosαd)(Fαf ) – Fαf)∥∥

p,ω

+∥∥(

e∑d

j= ( i (yj

n)

sinαj cosαj–iujyjn sinαj) –

)Fαf

∥∥p,ω.

Since Fαf ∈ Lpω(Rd), the mapping y → Ty(Fαf ) is continuous from R

d into Lpω(Rd) for

all y ∈ Rd []. Then we obtain ‖T(y

n cosα,...,ydn cosαd)(Fαf ) – Fαf ‖p,ω → as n → ∞. Now

let hyn (u) = |e∑d

j= ( i (yj

n)

sinαj cosαj–iujyjn sinαj) – ||Fαf (u)|. Since limn→∞ yn = and ω is a

bounded weight function on Rd , we see that limn→∞ hp

yn (u)ωp(u) = for all u ∈ Rd . Also,

since

hyn (u) =∣∣e

∑dj= ( i

(yjn)

sinαj cosαj–iujy

jn sinαj) –

∣∣∣∣Fαf (u)∣∣ ≤

∣∣Fαf (u)∣∣

and Fαf ∈ Lpω(Rd), we can write hp

yn (u)ωp(u) ≤ p|Fαf (u)|pωp(u). Thus, by the Lebesguedominated convergence theorem,

∥∥(

e∑d

j= ( i (yj

n)

sinαj cosαj–iujyjn sinαj) –

)Fαf

∥∥

p,ω →

as limn→∞ yn = . Hence,

‖Tyn f – f ‖Aw,ωα,p → ()

as n → ∞. Combining () and (),

‖Tyn f – f ‖Aw,ωα,p = ‖Tyn f – f ‖,w +

∥∥Fα(Tyn f – f )∥∥

p,ω →

as n → ∞. This is the desired result. �

Theorem Let α = (α,α, . . . ,αd), where αi = kπ for each index i with ≤ i ≤ d andk ∈ Z.

Page 5: On function spaces with fractional Fourier transform in ...

Toksoy and Sandıkçı Journal of Inequalities and Applications (2015) 2015:87 Page 5 of 10

() Let ≤ p < ∞, w and ω be weight functions on Rd . Then Aw,ω

α,p (Rd) is invariant undermodulations.

() Let ω be a bounded weight function on Rd . Then the mapping z → Mzf is continuous

from Rd into Aw,ω

α,p (Rd).

Proof () Let f ∈ Aw,ωα,p (Rd). Then f ∈ L

w(Rd) and Fαf ∈ Lpω(Rd). It is easy to see that

‖Mηf ‖,w = ‖f ‖,w and Mηf ∈ Lw(Rd). Let c = (η sinα, . . . ,ηd sinαd) ∈R

d . Thus by Propo-sition , we have

∥∥Fα(Mηf )

∥∥

p,ω =(∫

Rd

∣∣Fα(Mηf )(u)

∣∣p

ωp(u) du)

p

=(∫

Rd

∣∣Fαf (u – η sinα, . . . , ud – ηd sinαd)∣∣p

× ∣∣e∑d

j= (– i η

j sinαj cosαj+iujηj cosαj)∣∣pωp(u) du

) p

≤(∫

Rd

∣∣Fαf (u – c)

∣∣p

ωp(u – c)ωp(c) du)

p

= ω(c)‖Fαf ‖p,ω

for all η ∈ Rd . Hence, we get

‖Mηf ‖Aw,ωα,p ≤ ‖f ‖,w + ω(c)‖Fαf ‖p,ω < ∞.

() The proof technique of this part is the same as that of Theorem (). So, for the sakeof brevity, we will not prove it. �

The following definition is an extension of the convolution in [, ] of two functionsto n dimensions.

Definition Let α = (α,α, . . . ,αd), where αi = kπ for each index i with ≤ i ≤ d andk ∈ Z. Then the convolution of two functions f , g ∈ L(Rd) is the function f �g defined by

(f �g)(x) =∫

Rdf (y)g(x – y)e

∑dj= iyj(yj–xj) cotαj dy.

It is easy to see that f �g belongs to L(Rd) by Fubini’s theorem.

Theorem Let α = (α,α, . . . ,αd), where αi = kπ for each index i with ≤ i ≤ d and k ∈ Z,and f , g ∈ L(Rd). Then

Fα(f �g)(u) =

[ d∏

j=

√π

– i cotαj

]

e∑d

j= – i u

j cotαjFαf (u)Fαg(u),

where Fαf and Fαg are the fractional Fourier transforms of functions f and g , respec-tively.

Page 6: On function spaces with fractional Fourier transform in ...

Toksoy and Sandıkçı Journal of Inequalities and Applications (2015) 2015:87 Page 6 of 10

Proof Let α = (α,α, . . . ,αd), where αi = kπ for each index i with ≤ i ≤ d and k ∈ Z, andf , g ∈ L(Rd). We can write from the definition of the fractional Fourier transform

Fα(f �g)(u) =

[ d∏

j=

√ – i cotαj

π

]∫

Rd(f �g)(t)e

∑dj= ( i

(uj +t

j ) cotαj–iujtj cosecαj) dt

=

[ d∏

j=

√ – i cotαj

π

]∫

Rd

Rdf (y)g(t – y)e

∑dj= iyj(yj–tj) cotαj

× e∑d

j= ( i (u

j +tj ) cotαj–iujtj cosecαj) dt dy.

We make the substitution t – y = k and obtain

Fα(f �g)(u) =

[ d∏

j=

√ – i cotαj

π

]∫

Rd

(∫

Rdf (y)e

∑dj= ( i

(uj +y

j ) cotαj–iujyj cosecαj) dy)

× g(k)e∑d

j= ( i k

j cotαj–iujkj cosecαj) dk

=

[ d∏

j=

√π

– i cotαj

]

e∑d

j= – i u

j cotαj

[ d∏

j=

√ – i cotαj

π

]

×∫

Rd

(∫

Rdf (y)e

∑dj= ( i

(uj +y

j ) cotαj–iujyj cosecαj) dy)

× g(k)e∑d

j= ( i (k

j +uj ) cotαj–iujkj cosecαj) dk

=

[ d∏

j=

√π

– i cotαj

]

e∑d

j= – i u

j cotαj

[ d∏

j=

√ – i cotαj

π

]

×∫

RdFαf (u)g(k)e

∑dj= ( i

(kj +u

j ) cotαj–iujkj cosecαj) dk

=

[ d∏

j=

√π

– i cotαj

]

e∑d

j= – i u

j cotαjFαf (u)Fαg(u).�

Theorem Let α = (α,α, . . . ,αd), where αi = kπ for each index i with ≤ i ≤ d and k ∈ Z.L

w(Rd) is a Banach algebra under � convolution.

Proof It is well known that Lw(Rd) is a Banach space []. Let f , g ∈ L

w(Rd), then we have

‖f �g‖,w =∫

Rd|f �g|w(x) dy

=∫

Rd

∣∣∣∣

Rdf (y)g(x – y)e

∑dj= iyj(yj–xj) cotαj dy

∣∣∣∣w(x) dx

≤∫

Rd

(∫

Rd

∣∣g(x – y)

∣∣w(x – y) dx

)∣∣f (y)

∣∣w(y) dy

= ‖g‖,w

Rd

∣∣f (y)

∣∣w(y) dy

= ‖g‖,w‖f ‖,w. ()

It is easy to show that the other conditions of the Banach algebra are satisfied. �

Page 7: On function spaces with fractional Fourier transform in ...

Toksoy and Sandıkçı Journal of Inequalities and Applications (2015) 2015:87 Page 7 of 10

Theorem Let α = (α,α, . . . ,αd), where αi = kπ for each index i with ≤ i ≤ d and k ∈ Z.Aw,ω

α,p (Rd) is a Banach �-convolution module over Lw(Rd).

Proof It is well known that Aw,ωα,p (Rd) is a Banach space by Theorem . Let f ∈ Aw,ω

α,p (Rd)and g ∈ L

w(Rd). By using the inequality (), we get

∥∥Fα(f �g)∥∥

p,ω =

∥∥∥∥∥

[ d∏

j=

√π

– i cotαj

]

e∑d

j= – i u

j cotαjFαf (u)Fαg(u)

∥∥∥∥∥

p,ω

=∣∣∣∣

d∏

j=

√π

– i cotαj

∣∣∣∣

(∫

Rd

∣∣Fαf (u)

∣∣p∣∣Fαg(u)

∣∣p

ωp(u) du)

p

=∣∣∣∣

d∏

j=

√π

– i cotαj

∣∣∣∣

(∫

Rd

∣∣Fαf (u)∣∣p

∣∣∣∣∣

d∏

j=

√ – i cotαj

π

∣∣∣∣∣

p

×∣∣∣∣

Rdg(t)e

∑dj= ( i

(uj +t

j ) cotαj–iujtj cosecαj) dt∣∣∣∣

p

ωp(u) du

) p

≤(∫

Rd

∣∣Fαf (u)∣∣p

(∫

Rd

∣∣g(t)∣∣dt

)p

ωp(u) du)

p

= ‖g‖

(∫

Rd

∣∣Fαf (u)

∣∣p

ωp(u) du)

p

≤ ‖g‖,w‖Fαf ‖p,ω. ()

Combining () and (), we obtain

‖f �g‖Aw,ωα,p = ‖f �g‖,w +

∥∥Fα(f �g)

∥∥

p,ω

≤ ‖g‖,w‖f ‖,w + ‖g‖,w‖Fαf ‖p,ω

= ‖f ‖Aw,ωα,p ‖g‖,w.

This is the desired result. It is easy to see that the other conditions of the module aresatisfied. �

3 Inclusion properties of the space Aw,ωα,p (Rd)

Proposition For every = f ∈ Aw,α,p(Rd) there exists c(f ) > such that

c(f )w(x) ≤ ‖Txf ‖Aw,α,p

≤ w(x)‖f ‖Aw,α,p

.

Proof Let = f ∈ Aw,α,p(Rd). By [], there exists c(f ) > such that

c(f )w(x) ≤ ‖Txf ‖,w ≤ w(x)‖f ‖,w. ()

By using () and the equality ‖Fα(Txf )‖p = ‖Fαf ‖p, we obtain

c(f )w(x) ≤ ‖Txf ‖,w ≤ ‖Txf ‖,w +∥∥Fα(Txf )

∥∥

p

≤ w(x)‖f ‖,w + ‖Fαf ‖p

Page 8: On function spaces with fractional Fourier transform in ...

Toksoy and Sandıkçı Journal of Inequalities and Applications (2015) 2015:87 Page 8 of 10

≤ w(x)‖f ‖,w + w(x)‖Fαf ‖p

= w(x)‖f ‖Aw,α,p

for all f ∈ Aw,α,p(Rd). �

Lemma Let w, w, ω and ω be weight functions on Rd . If Aw,ω

α,p (Rd) ⊂ Aw,ωα,p (Rd),

then Aw,ωα,p (Rd) is a Banach space under the norm ‖|f ‖| = ‖f ‖Aw,ω

α,p+ ‖f ‖Aw,ω

α,p.

Proof Let (fn)n∈N is a Cauchy sequence in (Aw,ωα,p (Rd),‖| · ‖|). Then (fn)n∈N is a Cauchy

sequence in (Aw,ωα,p (Rd),‖ · ‖Aw,ω

α,p) and (Aw,ω

α,p (Rd),‖ · ‖Aw,ωα,p

). As these spaces are Ba-nach spaces, there exist f ∈ Aw,ω

α,p (Rd) and g ∈ Aw,ωα,p (Rd) such that ‖fn – f ‖Aw,ω

α,p→

, ‖fn – g‖Aw,ωα,p

→ . Using the inequalities ‖ · ‖ ≤ ‖ · ‖,w ≤ ‖ · ‖Aw,ωα,p

and ‖ · ‖ ≤‖ · ‖,w ≤ ‖ · ‖Aw,ω

α,p, we obtain ‖fn – f ‖ → and ‖fn – g‖ → . Also ‖f – g‖ ≤ ‖fn – f ‖ +

‖fn – g‖, we have f = g . Hence ‖|fn – f ‖| → and f ∈ Aw,ωα,p (Rd). That means (Aw,ω

α,p (Rd),‖| · ‖|) is a Banach space. �

Theorem Let w and w be weight functions on Rd . Then Aw,

α,p (Rd) ⊂ Aw,α,p (Rd) if and

only if w ≺ w.

Proof Suppose that w ≺ w. Thus there exists c > such that w(x) ≤ cw(x) for all x ∈R

d . Also let f ∈ Aw,α,p (Rd). Then we write

‖f ‖,w ≤ c‖f ‖,w < ∞.

Hence we have

‖f ‖Aw,α,p

= ‖f ‖,w + ‖Fαf ‖p ≤ c‖f ‖,w + c‖Fαf ‖p = c‖f ‖Aw,α,p

.

Therefore, Aw,α,p (Rd) ⊂ Aw,

α,p (Rd).Conversely, suppose that Aw,

α,p (Rd) ⊂ Aw,α,p (Rd). For every f ∈ Aw,

α,p (Rd), we have f ∈Aw,

α,p (Rd). By Proposition , there are constants c, c, c, c > such that

cw(x) ≤ ‖Txf ‖Aw,α,p

≤ cw(x) ()

and

cw(x) ≤ ‖Txf ‖Aw,α,p

≤ cw(x) ()

for all x ∈ Rd . It is well known from Lemma that the space Aw,

α,p (Rd) is a Banach spaceunder the norm ‖|f ‖|, f ∈ Aw,

α,p (Rd). Then by the closed graph theorem the norms ‖ · ‖Aw,α,p

and ‖ · ‖Aw,α,p

are equivalent on Aw,α,p (Rd). So, there exists c > such that ‖f ‖Aw,

α,p≤ ‖f ‖Aw,

α,p

for all f ∈ Aw,α,p (Rd). Moreover, as Txf ∈ Aw,

α,p (Rd), we have

‖Txf ‖Aw,α,p

≤ c‖Txf ‖Aw,α,p

. ()

Page 9: On function spaces with fractional Fourier transform in ...

Toksoy and Sandıkçı Journal of Inequalities and Applications (2015) 2015:87 Page 9 of 10

Then, combining (), (), and (), we obtain

cw(x) ≤ ‖Txf ‖Aw,α,p

≤ c‖Txf ‖Aw,α,p

≤ ccw(x).

Thus, w(x) ≤ ccc

w(x). Let ccc

= k. Then we find w(x) ≤ kw(x) for all x ∈Rd . �

Proposition Let w, w, ω and ω be weight functions on Rd . If w ≺ w and ω ≺ ω,

then Aw,ωα,p (Rd) ⊂ Aw,ω

α,p (Rd).

Proof Assume that w ≺ w and ω ≺ ω. Then there exist c, c > such that w(x) ≤cw(x) and ω(x) ≤ cω(x) for all x ∈ R

d . Let f ∈ Aw,ωα,p (Rd). As f ∈ L

w (Rd) and Fαf ∈Lp

ω (Rd), we have ‖f ‖,w ≤ c‖f ‖,w < ∞ and ‖Fαf ‖p,ω ≤ c‖Fαf ‖p,ω < ∞. Hence, weobtain f ∈ Aw,ω

α,p (Rd), and then Aw,ωα,p (Rd) ⊂ Aw,ω

α,p (Rd). �

4 DualityLet the mapping � : Aw,ω

α,p (Rd) → Lw(Rd) × Lp

ω(Rd) be defined by �(f ) = (f ,Fαf ) for ≤p < ∞ and let H = �(Aw,ω

α,p (Rd)). Then

∥∥�(f )∥∥ =

∥∥(f ,Fαf )∥∥ = ‖f ‖,w + ‖Fαf ‖p,ω

is a norm on H for all f ∈ Aw,ωα,p (Rd). Moreover, we define a set K as

K ={

(ϕ,ψ) :((ϕ,ψ) ∈ L∞

w–(R

d) × Lp′ω–

(R

d)),

Rdf (x)ϕ(x) dx +

RdFαf (y)ψ(y) dy = for all (f ,Fαf ) ∈ H

},

where p +

p′ = .The following proposition is proved by the duality theorem, Theorem . in [].

Proposition Let ≤ p < ∞, and w and ω be weight functions on Rd . The dual space of

Aw,ωα,p (Rd) is isomorphic to L∞

w– (Rd) × Lp′ω– (Rd)/K where

p + p′ = .

Competing interestsThe authors declare that they have no competing interests.

Authors’ contributionsAll authors contributed equally to the writing of this paper. All authors read and approved the final manuscript.

Received: 13 October 2014 Accepted: 24 February 2015

References1. Feichtinger, HG, Gürkanlı, AT: On a family of weighted convolution algebras. Int. J. Math. Sci. 13, 517-526 (1990)2. Reiter, H: Classical Harmonic Analysis and Locally Compact Group. Oxford University Press, Oxford (1968)3. Namias, V: The fractional order of Fourier transform and its application in quantum mechanics. IMA J. Appl. Math. 25,

241-265 (1980)4. Ozaktas, HM, Kutay, MA, Zalevsky, Z: The Fractional Fourier Transform with Applications in Optics and Signal

Processing. Wiley, Chichester (2001)5. Almeida, LB: The fractional Fourier transform and time-frequency representations. IEEE Trans. Signal Process. 42,

3084-3091 (1994)6. Zayed, AI: On the relationship between the Fourier and fractional Fourier transforms. IEEE Signal Process. Lett. 3,

310-311 (1996)

Page 10: On function spaces with fractional Fourier transform in ...

Toksoy and Sandıkçı Journal of Inequalities and Applications (2015) 2015:87 Page 10 of 10

7. Almeida, LB: Product and convolution theorems for the fractional Fourier transform. IEEE Signal Process. Lett. 4(1),15-17 (1997)

8. Zayed, AI: Fractional Fourier transform of generalized function. Integral Transforms Spec. Funct. 7, 299-312 (1998)9. Bultheel, A, Martinez, H: A shattered survey of the fractional Fourier transform. Report TW337, Department of

Computer Science, K.U. Leuven (2002)10. Sahin, A, Ozaktas, HM, Mendlovic, D: Optical implementations of two-dimensional fractional Fourier transforms and

linear canonical transforms with arbitrary parameters. Appl. Opt. 37(11), 2130-2141 (1998)11. Sharma, VD: Operational calculus on generalized two-dimensional fractional Fourier transform. Int. J. Eng. Innov.

Technol. 3(2), 253-256 (2013)12. Fischer, RH, Gürkanlı, AT, Liu, TS: On a family of weighted spaces. Math. Slovaca 46(1), 71-82 (1996)13. Singh, AK, Saxena, R: On convolution and product theorems for FRFT. Wirel. Pers. Commun. 65, 189-201 (2012)14. Zayed, AI: A convolution and product theorem for the fractional Fourier transform. IEEE Signal Process. Lett. 5,

101-103 (1998)15. Liu, T, Rooij, AV: Sums and intersections of normed linear spaces. Math. Nachr. 42, 29-42 (1969)