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R E S E A R C H

Open Access

Wavelet transforms on Gelfand-Shilov

spaces and concrete examples

Naohiro Fukuda

1

, Tamotu Kinoshita

2*

and Kazuhisa Yoshino

2

*Correspondence:

[email protected]

2Institute of Mathematics, Tsukuba

University, Tsukuba, Ibaraki 305-8571, Japan

Full list of author information is available at the end of the article

Abstract

In this paper, we study the continuity properties of wavelet transforms in the Gelfand-Shilov spaces with the use of a vanishing moment condition. Moreover, we also compute the Fourier transforms and the wavelet transforms of concrete functions in the Gelfand-Shilov spaces.

MSC: 42C10; 46F05; 65T60

Keywords: wavelet transform; Gelfand-Shilov space; continuity properties

1 Introduction

In recent years, the wavelet transform has been shown to be a successful tool in signal pro-cessing applications such as data compression and fast computations. The wavelet trans-form offL(R) with respect to the analyzed waveletψL(R) satisfying the admissible condition:=

R| ˆψ(ξ)|/|ξ|<∞is defined by

Wψf(a,b) = 

R

f(xa,b(x)dx,

where

ψa,b(x) =

xb

a

(a> ,bR)

(see [, ] for example). The inverse wavelet transform ofFL(R+×R) with respect to the analyzed waveletψL(R) is defined by

MψF(x) = 

R+

R

F(a,ba,b(x)

db da

a (xR).

For the time-frequency analysis, we are concerned with better localization in both time and frequency spaces from a point of view of the uncertainty principle. For the well-balanced localization, it would be suitable to consider the Schwartz spaceSregarded as the space of functions which have arbitrary polynomial decay and whose Fourier trans-forms also have arbitrary polynomial decay (see []). For instance, the typical Mexican hat wavelet belongs to spaces of more rapidly decreasing and more regular functions inS. In

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this article we focus on Gelfand-Shilov spaces of functions which have sub-exponential de-cay and whose Fourier transforms also have sub-exponential dede-cay. For positive constants μ,νandhsuch thatμ+ν≥, we define the Banach Gelfand-Shilov space

ν,h(R) =

fS;xα∂xβf(x)L(R)Chα+βα!νβ!μfor allα,βN

with the norm

fSμ

ν,h(R)=α,βsupN

β

xf(x)L(R)

hα+βα!νβ!μ ,

and the (non-Banach) Gelfand-Shilov space ν(R)

ν(R) =ind lim

h>S μ ν,h(R)

with the inductive limit topology. The Gelfand-Shilov spaces were originally introduced in [] and []. As well explained in [] and [], the Gelfand-Shilov spaces are better adapted to the study of the problems of partial differential equations for which the solutions sub-exponentially decay at infinity.

Remark . Restricting functions with Fourier transforms supported in the right half-plane, we may also define the Banach progressive Gelfand-Shilov space

Sμ,+ ν,h(R) =

fSν,μh(R);suppfˆ⊂[,∞) ,

and the (non-Banach) progressive Gelfand-Shilov space

Sμ,+ ν (R) =

fSνμ(R);suppfˆ⊂[,∞) .

Such spaces can be considered in dealing with analytic signals as the Hardy spaceH(R) (see []). If the analyzed waveletψ belongs to the progressive Gelfand-Shilov space,ψˆ smoothly tends to zero and also has vanishing moments. For example, the Bessel wavelet ψ(x) defined byψ(ξˆ ) =e–ξ–ξ–forξ>  andψ(ξˆ ) =  forξ belongs toS,+

(R). Actually, we know thatψ(x) =π√

–ixK( √

 –ix), whereKis the first modified Bessel function of the second kind (see []).

For the discrete wavelet case requiring strong additional conditions, the Meyer wavelets or the Gevrey wavelets constructed as in [] belong to the Gelfand-Shilov spaces. As for the continuous wavelet transform requiring only the admissible condition, there are many possibilities to choose the analyzed wavelet. Boundedness results in a generalized Sobolev space, Besov space and Lizorkin-Triebel space are given in []. As forψ

ν(R) andψ

Sμ,+

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2 Results

To state our results, we also introduce the following lemma.

Lemma . There exist C> and h> such that

eh|x|/νf

L(R)+e

h|ξ|/μfˆ

L(R)C

if and only if fSν,μh(R).

For the proof refer to [, ], etc. Taking Lemma . into account, we denote another Banach Gelfand-Shilov space combining with the infinite vanishing moment condition

f(ξ)| ≤Ceh|ξ|–/δ,

Sμ,δν,h(R) =fS;eh|x|/νfL(R)+ehmax{|ξ|

/μ,|ξ|–/δ}ˆ

fL(R)<∞ .

We remark thatSν,μh(R) corresponds toSμ,δν,h(R) withδ=∞, i.e.,

Sμ,∞ν,h (R) =fS;eh|x|/νfL(R)+eh|ξ| /μˆ

fL(R)<∞ .

Remark . In particular, when fˆ(ξ) is just equal toeh|ξ|–/δ

, it belongs to the Gevrey space of orderδ+ . So,νcan be taken asνδ+ .

Remark . We easily obtainehmax{|ξ|/μ,|ξ|–/δ}eh(|ξ|/μ+|ξ|–/δ). On the other hand, the weight can be estimated from below as

ehmax{|ξ|/μ,|ξ|–/δ}≥eh(|ξ|/μ+|ξ|–/δ–)≥ceh(|ξ|/μ+|ξ|–/δ). ()

Therefore, we find thateh(|ξ|/μ+|ξ|–/δfL(R)ehmax{|ξ|

/μ,|ξ|–/δ}ˆ

fL(R).

Then we prove the following.

Theorem . Letμ,ν,h,handδbe positive constants such thatμ+ν≥,h<h.Define that d(λ) =λ(λ– )–+/λ.Then,for the wavelet transform Wψwith the waveletψSμ,δν,h(R),

the following estimates hold:

forfS∞,∞ν,h (R)

(i) e

h|b/(a+)|/ν

a/+  Wψf

L(RR)

Ceh|x|/νfL(R) ifν> ,

(i) eh–/ν|b/(a+)|/νWψfL(R+×R)≤Ce

h|x|/νf

L(R) if <ν≤,

forfSμ,∞∞,h(R)

(ii) a

/ehd(δ/μ+)/μa–/(μ+δ)

a+  Wψf

L(RR)

Ceh|ξ|/μfˆL(R) ifμ> ,

(ii) a–/eh–/μd(δ/μ+)/μa–/(μ+δ)WψfL(R+×R)≤Ce

h|ξ|/μˆf L(R)

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forfSμ,δ∞,h(R)

(iii) a

/ehd(δ/μ+)/μ(max{a,a–})/(μ+δ)

a+  Wψf

L(RR) ≤Cehmax{|ξ|/μ,|ξ|–/δ}fˆL(R) ifμ> ,

(iii) a–/eh–/μd(δ/μ+)/μ(max{a,a–})/(μ+δ)WψfL(R+×R)

Cehmax{|ξ|/μ,|ξ|–/δ}fˆL(R) if <μ≤.

Remark . We find that d(λ) is strictly greater than  for λ>  sinced(λ) = –(λ– )–+/λλ–log– ), andd(λ) has the maximum at the pointλ=  and lim

λ→+d(λ) =

limλ→∞d(λ) = .

Remark . This work is motivated by [] wheref andψ are allowed to take each dif-ferent value of parameters ν, μ and have infinite vanishing moments, more precisely vanishing moments of arbitrary polynomial order. Therefore, we have restricted our-selves to the case of f and ψ under the common parameters ν, μ, and have derived the above estimates with δ (concerning vanishing moments of sub-exponential order). For instance, eh(|b|/(ν+μ–)+(max{a,a–})/(ν+μ–))W

ψfL∞ is estimated by [] with ρ=s=μ, ρ =ν, τ =τ=ν+μ–  andt= ν+μ–  (in the case off andψ under the com-mon parameters ν andμ). If one considers small a>  and takesν =δ+  (see Re-mark .), a similar estimate as (ii) holds since (max{a,a–})/(ν+μ–)(max{a,a–})/(μ+δ)

a–/(μ+δ). Thanks to the additional condition of sub-exponential order, (i) for small

a>  can become better sinceμ+ν≥ and |b|/(ν+μ–)=|b|/(ν+(μ+ν–))≤ |b|/ν ∼ |b/ (a+ )|/ν.

Considering the study of the continuity properties in [, ] and [], we introduce spaces of functions inaandbwhich correspond to the Gelfand-Shilov spaces of functions inx

andξ sincea∼/|ξ|andbxafter wavelet transforms. Therefore, we shall define the following weighted L(R+×R) space which is a subspace ofL(R+×R) as far ashis positive:

Vν,μ,δh(RR) =

FL(RR);ehmax{|b/(a+)|

/ν,a/μ,a–/δ}

FL(R+×R)<∞ .

We remark that ifμ=∞,

Vν,∞,δh (R+×R) =FL(R+×R);ehmax{|b/(a+)|/ν,a–/δ}FL(R+×R)<∞ .

By (i) and (ii), we have

eha|b//(a+)|+ /ν +

a/ehd(δ/μ+)/μa–/(μ+δ) a+ 

Wψf

L(RR)

Ceh|x|/νfL(R)+eh|ξ| /μˆ

fL(R)

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The weight function can be estimated from below as

eh|b/(a+)|/ν

a/+  +

a/ehd(δ/μ+)/μa–/(μ+δ)

a+  ≥ce

hmax{|b/(a+)|/ν,a–/(μ+δ)}

,

here we used Remark . also to eliminate the terma/. Therefore, by Theorem ., we can also get the following continuity properties.

Corollary . Letμ,ν,h andδbe constants such thatμ> ,ν> ,h> andδ> .Then,

for the waveletψSν,μ,δh(R),the wavelet transform Sν,μ,∞h (R)fWψfVν,∞,μ+δh (R+×R)

is continuous.In particular,when f also satisfies the infinite vanishing moment condition,

the wavelet transform S∞,μ,δh(R)fWψfV∞,μ+δ,μ+δh (RR)is continuous.

In Section  we shall discuss the optimality of our boundedness results in Gelfand-Shilov spaces.

3 Proof of Theorem 2.4

At first, we introduce the following lemma.

Lemma . It holds that forα,β≥

α/θ+β/θ≥

⎧ ⎨ ⎩

–/θ+β)/θ if <θ,

(α+β)/θ+ ( – /θ)min{α/θ,β/θ} ifθ> .

Remark . The latter inequality is given in [] and [], which also shows multiplication algebras for the Gevrey-modulation spaces.

Proof of Lemma. We shall suppose thatαβ>  since the proof is trivial whenα=  orβ= . Puttingγ :=α/β(≥), we may show

γ/θ+ ≥

⎧ ⎨ ⎩

–/θ+ )/θ if  <θ,

(γ + )/θ+  – /θ ifθ> .

This follows from

min

γ≥

γ/θ+  (γ+ )/θ

= –/θ if  <θ≤,

and

min

γ≥

γ/θ+  – (γ+ )/θ =  – /θ ifθ> .

In the proofs of theorems, · denotes theLnorm on R or R+×R. We shall consider the following cases.

•Case ofν>  anda≥) From the definition of the wavelet transform we get

eh|b/max{,a}|/νWψf(a,b)≤

Ceh|x|/νf a/

R

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Lemma . withα=|b/ax/a|,β=|x/a|gives

|x|/ν+xb

a

/ν– b

max{,a} /ν

=b

ax a /ν+x

a /ν–b

a

/ν+|x|/ν

 –

a /ν

b

ax a +x

a

/ν+ – /νminb

ax a /ν,x

a

/ν–b

a /ν

+|x|/ν

 –

a /ν

≥ – /νminb

ax a /ν,x

a

/ν+|x|/ν

 –

a /ν,

here we used (|b/ax/a|+|x/a|)/ν≥ |b/a|/ν. Therefore, puttingD:={xR;|b/ax/a|<

|x/a|}, we have

eh|b/max{,a}|/νWψf(a,b)≤

Ceh|x|/νf

a/

D

eh(–/ν)|b/ax/a|/νdx

+Ce

h|x|/ν

f a/

R\D

eh(–/ν)|x/a|/νdx

≤Ca/eh|x|/νf

R

eh(–/ν)|x|/νdx

Ca/eh|x|/νf.

•Case ofν>  and  <a< ) Lemma . withα=|bx|,β=|x|gives

|x|/ν+xb

a

/ν– b

max{,a} /ν

=|bx|/ν+|x|/ν–|b|/ν+|bx|/ν a /ν– 

≥|bx|+|x|/ν+ – /νmin|bx|/ν,|x|/ν –|b|/ν+|bx|/ν a /ν– 

≥ – /νmin|bx|/ν,|x|/ν +|bx|/ν a /ν– 

,

here we used (|bx|+|x|)/ν≥ |b|/ν. Therefore, putting

I:=xR;|bx|<  ,

we find that

I

eh|bx|/ν{|/a|/ν–}dx=

b+

b–

eh|(bx)/a|/ν{–a/ν}dx

=a /a

–/a

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for  <a<  and have

eh|b/max{,a}|/νWψf(a,b)

Ceh|x| /ν

f a/

I

eh|bx|/ν{|/a|/ν–}dx

+Ce

h|x|/ν

f a/

R\I

eh{(–/ν)min{|bx|/ν,|x|/ν}+|/a|/ν–}dx

Mha/eh|x|

/ν

f

+Mheh|x|/νf

R

eh(–/ν)min{|bx|/ν,|x|/ν}dx

Ceh|x|/νf,

here we used a/ eh{|/a| /ν–}

Mhfor  <a< .

Thus, sincemax{,a} ≤a+  andmax{,a/} ∼a/+ , it follows that

eha|b//(a+)|+ /νWψf

Ceh|x|/νf.

•Case of  <ν≤ anda≥) Forh>h> , we get

eh–/ν|b/max{,a}|/νWψf(a,b)

Ceh|x| /ν

f a/

×

–∞e

–(hh){|x|/ν+|(xb)/a|/ν}–h{|x|/ν+|(xb)/a|/ν––/ν|b/max{,a}|/ν}

dx.

Lemma . withα=|b/ax/a|,β=|x/a|gives

|x|/ν+xb

a

/ν– –/ν b

max{,a} /ν

=b

ax a /ν+x

a

/ν– –/νb

a

/ν+|x|/ν

 –

a /ν

≥–/νb

ax a +x

a

/ν– –/νb

a

/ν+|x|/ν

 –

a /ν

≥ |x|/ν

 –

a /ν.

Therefore, we have

eh–/ν|b/max{,a}|/νWψf(a,b)≤

Ceh|x|/ν

f a/

–∞e

–(hh){|x|/ν+|(xb)/a|/ν}dx

Ceh|x| /ν

f a/

–∞e

–(hh)|x|/νdx

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•Case of  <ν≤ and  <a< ) Lemma . withα=|bx|,β=|x|gives

|x|/ν+xb

a

/ν– –/ν b

max{,a} /ν

=|bx|/ν+|x|/ν– –/ν|b|/ν+|bx|/ν a /ν– 

≥–/ν|bx|+|x|/ν– –/ν|b|/ν+|bx|/ν a /ν– 

≥ |bx|/ν a /ν– 

.

Therefore, we have

eh–/ν|b/max{,a}|/νWψf(a,b)≤

Ceh|x|/νf

a/

–∞e

–(hh){|x|/ν+|(xb)/a|/ν}

dx

Ceh|x| /ν

f a/

–∞e

–(hh)|(xb)/a|/ν

dx

Ceh|x|/νf.

Thus, sincemax{,a} ≤a+ , it follows that

eh–/ν|b/(a+)|/νWψfCeh|x|

/ν

f.

•Case ofμ> ) Letμ:=μ/(μ+δ). By Parseval’s theorem, the wavelet transform can be rewritten as

Wψf(a,b) =

a

R

ˆ

f(ξ)eibξψˆ(aξ)dξ. ()

Since

ehmax{||/μ,|aξ|–/δ}≥eh(|aξ|/μ+||–/δ–)≥ceh(|aξ|/μ+||–/δ)

similarly as (), we see that

eibξψ(ˆ )≤Ceh(||/μ+||–/δ).

Hence, we get

eh{d(δ/μ+)(+/a)μ}/μWψf(a,b)

Ca/eh|ξ|/μfˆ

–∞e

h{|ξ|/μ+|aξ|/μ+|aξ|–/δ–{d(δ/μ+)(+/a)μ}/μ}

.

Lemma . withα=|ξ|,β=||+||–μ/δgives

|ξ|/μ+||/μ+ 

||/δ –

d(δ/μ+ )

 +

a μ/μ

≥ |ξ|/μ+

||+ 

||μ/δ

/μ –

d(δ/μ+ )

 +

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|ξ|+||+ 

||μ/δ

/μ

+ – /μmin

|ξ|/μ,

||+ 

||μ/δ

/μ

d(δ/μ+ )

 +

a μ/μ

≥ – /μmin

|ξ|/μ,

||+ 

||μ/δ

/μ ,

here we used

min

ξR

|ξ|+||+ 

||μ/δ

=d

δ μ+ 

 +

a μ

.

Therefore, putting

D:=ξR;|ξ|/μ<||+||–μ/δ/μ ,

we have

eh{d(δ/μ+)(+/a)μ}/μWψf(a,b)

Ca/eh|ξ|/μfˆ

D

eh(–/μ)|ξ|/μdξ

+Ca/eh|ξ|/μfˆ

R\D

eh(–/μ)(|aξ|+|aξ|μ/δ)/μdξ

≤ ⎧ ⎨ ⎩

Ca/eh|ξ|/μfˆReh(–/μ)|ξ|/μdξ ifa≥,

Ceh|ξ|/μfˆ

a/

Reh(–

/μ)|ξ|/μ

if  <a< 

Cmaxa/,a–/ eh|ξ|/μfˆ.

Thus, since

eh{d(δ/μ+)(+/a)μ}/μeh{d(δ/μ+)aμ}/μ=ehd(δ/μ+)/μa–/(μ+δ)

andmax{a/,a–/}=a–/max{a, } ∼a–/( +a), it follows that

a/ehd(δ/μ+) +a/μa–/(μ+δ)Wψf

Ceh|ξ|/μfˆ.

•Case ofμ>  with the condition|ˆf(ξ)| ≤Ceh|ξ|–/δ

) Letδ:=δ/(μ+δ). By () we get

eh{d(δ/μ+)(+a)μ(+//δ)δ}/μWψf(a,b)

Ca/eh(|ξ|/μ+|ξ|–/δ)fˆ

×

–∞e

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Lemma . withα=|ξ|+|ξ|–μ/δ,β=|aξ|+|aξ|–μ/δgives

|ξ|/μ+ 

|ξ|/δ +||

/μ+

||/δ –

d(δ/μ+ )( +a)μ

 + 

aμ/δ

δ/μ

|ξ|+ 

|ξ|μ/δ

/μ +

||+ 

||μ/δ

/μ –

d(δ/μ+ )( +a)μ

 + 

aμ/δ

δ/μ

|ξ|+ 

|ξ|μ/δ +||+ 

||μ/δ

/μ

+ – /μmin

|ξ|+ 

|ξ|μ/δ

/μ ,

||+ 

||μ/δ

/μ

d(δ/μ+ )( +a)μ

 + 

aμ/δ

δ/μ

≥ – /μmin

|ξ|+ 

|ξ|μ/δ

/μ ,

||+ 

||μ/δ

/μ ,

here we used

min

ξR

|ξ|+ 

|ξ|μ/δ +||+ 

||μ/δ

=d

δ μ+ 

( +a)μ

 + 

aμ/δ

δ .

Therefore, putting

D:=ξR;|ξ|+|ξ|–μ/δ/μ<||+||–μ/δ/μ ,

we have

eh{d(δ/μ+)(+a)μ(+//δ)δ}/μWψf(a,b)

Ca/eh(|ξ|/μ+|ξ|–/δ)fˆ

D

eh(–/μ)(|ξ|+|ξ|–μ/δ)/μdξ

+Ca/eh(|ξ|/μ+|ξ|–/δ)fˆ

R\D

eh(–/μ)(||+||–μ/δ)/μdξ

≤ ⎧ ⎨ ⎩

Ca/eh(|ξ|/μ+|ξ|–/δ)fˆ Reh(–

/ν)|ξ|/μ

ifa≥,

Ceh(|ξ|/μ+|ξ|–/δf a/

Re

h(–/ν)|ξ|/μ

if  <a< 

Cmaxa/,a–/ eh(|ξ|/μ+|ξ|–/δ)fˆ.

Thus, since

( +a)μ

 + 

aμ/δ

δ

max

a,

a μ

, ()

and

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it follows that

a/ehd(δ/μ+) +/μ(max{a a,a–})/(μ+δ)WψfCeh(|ξ|

/μ+|ξ|–/δ)ˆ

f.

•Case of  <μ≤) Letk=max{/μ– , }– /δ. Forh>h> , we get

eh–/μ{d(δ/μ+)(+/a)μ}/μWψf(a,b)

Ca/eh|ξ|/μfˆ

×

–∞e

–(hh){|ξ|/μ+|aξ|/μ+|aξ|–/δ}

×eh{|ξ|/μ+|aξ|/μ+|aξ|–/δ––/μ{d(δ/μ+)(+/a)μ}/μ}.

We note that ifμ= , i.e.,  <μ< , there existsL>  such that

||+ 

||μ/δ

/μ

= 

||/δ

||+μ/δ+ /μ

≤ ⎧ ⎨ ⎩

||/δ((||+μ/δ)/μ+ /μ+L||/μ–) if|| ≥, 

||/δ((||+μ/δ)/μ+ /μ+L||) if  <||< 

≤ 

||/δ

||+μ/δ/μ+ /μ+L||max{/μ–,}

=||/μ+ 

||/δ +L||

k. ()

Ifμ= , () also holds withL= . Lemma . withα=|ξ|,β=||+ /||μ/δgives

|ξ|/μ+||/μ+ 

||/δ –  –/μ

d(δ/μ+ )

 +

a μ/μ

≥ |ξ|/μ+

||+ 

||μ/δ

/μ

L||k– –/μ

d(δ/μ+ )

 +

a μ/μ

≥–/μ

|ξ|+||+ 

||μ/δ

/μ

L||k– –/μ

d(δ/μ+ )

 +

a μ/μ

= –L||k,

here we used

min

ξR

|ξ|+||+ 

||μ/δ

=d(δ/μ+ )

 +

a μ

.

There existR≥ >r>  independent ofa>  such that

Lh||khh||/μ+||–/δ for|| ≥Ror||<r,

since –/δ<k=max{/μ– , }– /δ< /μ. Therefore, putting

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we have

eh–/μ{d(δ/μ+)(+/a)μ}/μWψf(a,b)

Ca/eh|ξ|/μfˆ

R

e–(hh)(|ξ|/μ+||/μ+|aξ|–/δ)+Lh||kdξ

Ca/eh|ξ|/μfˆ

R\I

e–(hh)|ξ|/μdξ

+Ca/eh|ξ|/μfˆ

I

e–(hh)(|ξ|/μ+||/μ+|aξ|–/δ)+Lh||kdξ

Ca/eh|ξ|/μfˆ

R

e–(hh)|ξ|/μdξ

+Ca/eh|ξ|/μfˆ

R

e–(hh)|ξ|/μ+Lhmax{Rk,rk}

Ca/eh|ξ|/μfˆ.

Thus, it follows that

a–/eh–/μd(δ/μ+)/μa–/(μ+δ)Wψfa–/eh

–/μ{d(δ/μ+)(+/a)μ}/μ

Wψf

Ceh|ξ|/μfˆ.

•Case of  <μ≤ with the condition|ˆf(ξ)| ≤Ceh|ξ|–/δ

) Forh>h> , we get

eh–/μ{d(δ/μ+)(+a)μ(+//δ)δ}/μWψf(a,b)

Ca/eh(|ξ|/μ+|ξ|–/δ)fˆ

×

–∞e

–(hh){|ξ|/μ+|ξ|–/δ+|aξ|/μ+|aξ|–/δ}

×eh{|ξ|/μ+|ξ|–/δ+||/μ+||–/δ––/μ{d(δ/μ+)(+a)μ(+//δ)δ}/μ}dξ.

By () Lemma . withα=|ξ|+ /|ξ|μ/δ,β=||+ /||μ/δgives

|ξ|/μ+|ξ|–/δ+||/μ+ 

||/δ –  –/μ

d(δ/μ+ )( +a)μ

 + 

aμ/δ

δ/μ

|ξ|+ 

|ξ|μ/δ

/μ +

||+ 

||μ/δ

/μ

L|ξ|k+||k

– –/μ

d(δ/μ+ )( +a)μ

 + 

aμ/δ

δ/μ

≥–/μ

|ξ|+ 

|ξ|μ/δ +||+ 

||μ/δ

/μ

L|ξ|k+||k

– –/μ

d(δ/μ+ )( +a)μ

 + 

aμ/δ

δ/μ

(13)

here we used

min

ξR

|ξ|+ 

|ξ|μ/δ +||+ 

||μ/δ

=d(δ/μ+ )( +a)μ

 + 

aμ/δ

δ .

There existR,R˜≥ >r,r˜>  independent ofa>  such that

Lh||khh||/μ+||–/δ for||>Ror||<r,

and forε>  satisfyingh>h+ε>h>  (e.g.,ε= (hh)/)

Lh|ξ|khhε|ξ|/μ+|ξ|–/δ for|ξ|>R˜ or|ξ|<˜r,

since –/δ<k=max{/μ– , }– /δ< /μ. Therefore, putting

I:=ξR;r/a≤ |ξ|<R/a and J:=ξR;r˜≤ |ξ|<R˜ ,

we have

eh–/μ{d(δ/μ+)(+a)μ(+//δ)δ}/μWψf(a,b)

Ca/eh(|ξ|/μ+|ξ|–/δ)fˆ

×

R

e–(hh)(|ξ|/μ+|ξ|–/δ+|aξ|/μ+||–/δ)+Lh(|ξ|k+|aξ|k)

Ca/eh(|ξ|/μ+|ξ|–/δ)fˆ

R\(IJ)

e–ε(|ξ|/μ+|ξ|–/δ)

+

I\J

e–ε(|ξ|/μ+|ξ|–/δ)–(hh)(|aξ|/μ+||–/δ)+Lh|aξ|kdξ

+

J\I

e–(hh)(|ξ|/μ+|ξ|–/δ)+Lh|ξ|kdξ

+

IJ

e–(hh)(|ξ|/μ+|ξ|–/δ+|aξ|/μ+|aξ|–/δ)+Lh(|ξ|k+||k)dξ

Ca/eh(|ξ|/μ+|ξ|–/δ)fˆ

R

e–ε(|ξ|/μ+|ξ|–/δ)

+

R

e–ε(|ξ|/μ+|ξ|–/δ)+Lhmax{Rk,rk}

+

R

e–(hh)(|ξ|/μ+|ξ|–/δ)+Lhmax{ ˜Rkrk}

+

R

e–(hh)(|ξ|/μ+|ξ|–/δ)+Lhmax{Rk,R˜k,rkrk}

Ca/eh(|ξ|/μ+|ξ|–/δ)fˆ.

Thus, by () it follows that forh>h> ,

a–/eh–/μd(δ/μ+)/μ(max{a,a–})/(μ+δ)Wψf

a–/eh–/μ{d(δ/μ+)(+a)μ(+//δ)δ}/μWψfCeh(|ξ|

/μ+|ξ|–/δ)ˆ

f.

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4 Concrete examples

In this section, we introduce concrete examples according to whether the order of vanish-ing moments is finite or infinite.

Case of finite vanishing moments) Let us consider the function and the wavelet

f(x) =sech(hx), ψ(x) = d

dxsech(hx).

In particular, whenh=π, it holds thatfˆ(ξ) =f(ξ), and we also see thatψ(ξˆ ) =iξf(ξ) andψS,∞,h(R) with  <h<h. By the change of variablest=ehax, we have the wavelet

transform

Wψf(a,b) =

a

R

ψ(x)f(ax+b)dx

= –h

a

R

ehxehx

(ehx+ehx) ·

eh(ax+b)+eh(ax+b)dx

= – 

ehbC

ψa

t/a– 

(t/a+ )·

dt

ta–a(t+e–hb) ,

where

=

R

| ˆψ(ξ)|

|ξ| (= log).

Using the Hölder inequalityA+B(p–)p–/pA/pB–/pwith

 < 

 +hh <p±:=  ±hmaxh{,a} <

 –hh <∞ forsgnb=± respectively,

we obtain the estimate (from above)

Wψf(a,b)

≤ 

ehbCψa

 

t/a+ ·

dt

ta–a · p±

(p±–)–/p±t/p±e–hb(–/p±)

=(p±– )

–/p±ehb(–/p±)

p±Cψa

 

t/a+ ·

dt

ta–a+p±

Chehb(–/p±)

a

 

t/a+ ·

dt

t–a± h

hmax{,a}

Chehb(–/p±) √

a

   + ·

dt

t–a±hmaxh{,a}

+

 

t/a+ ·

dt

t–a± h

hmax{,a}

=Che

hb(–/p±)

a

  a±

h

hmax{,a}

+ 

 a

h

hmax{,a}

=Che

hb(–/p±)

a

a

 – ( ha hmax{,a}) ≤Cha/eh

|b|/max{,a}

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here we used the fact that

 –  a±

h

hmax{,a}< ,  +

 a±

h

hmax{,a}> .

Then (i)and (ii)in Theorem . become

(i) eh|b/(a+)|WψfL(R+×R)Ceh|x|fL(R),

(ii) a–/ehWψfL(R+×R)Ceh|ξ|fˆL(R).

From estimate () it is possible that this example is the near critical case of (i)and (ii) since|b/(a+ )| ∼ |b|/max{,a}.

Remark . If we consider the typical example of the Mexican hat wavelet

ψ(x) =  π/√

 –xex/, ψˆ(ξ) = 

π π/√ξ

e–ξ/,

we see thatψS/,∞/,h(R) with  <h<h= /. In particular, whenf(x) =ex/

S/,∞/,h (R), the wavelet transform is computed as

Wψf(a,b) =

√π/a/(a–  –b)

(a+ )/

eb/(a+).

Then (i)in Theorem . becomes

(i) eh–|b/(a+)|WψfL(R+×R)≤Ce

h|x| fL(R).

The exponent –b/(a+ ) is not a critical case of (i)with  <h<h=

sinceh–|b/(a+ )|b/(a+ ). Therefore, we gave the new waveletψ(x) = d

dxsech(hx)∈S

,∞

,h(R) with

 <h<h=π.

Case of infinite vanishing moments) Firstly we prove the following.

Proposition . The inverse Fourier transform of e–ξ–tξ–is given by

F–e–ξ–tξ– (x) = √

 ∞

n= (–t)n

n! F

 –n

 ,  , –

x 

, ()

whereF(a,b,z)is the confluent hypergeometric function of the first kind.

Remark . The change of variables also yields

F–e–ξ/–tξ– (x) =

π

e–ξ/–tξ–cosxξdξ

=√ π

e–ξ–(t/

√ )ξ–

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=√F–e–ξ–(t/

√ )ξ–

(√x)

= ∞

n=

(–√t)n

n! F

 –n

 ,  , –

x 

.

Proof of Proposition. Let us put

I(t,x) :=F–e–ξ–tξ–(x) =

π

e–ξ–tξ–cosxξdξ.

DifferentiatingI(t,x) inx, we have

∂xI(t,x) = –

π

e–ξ–tξ–ξsinxξdξ,

xI(t,x) = –

π

e–ξ–tξ–ξcosxξdξ.

On the other hand, differentiatingIint, we also have

∂tI(t,x) = –

πt

e–ξ–tξ–ξ–cosxξdξ.

Moreover, the integration by parts yields

∂tI(t,x) = –

πt

–

etξ– e–ξξcosxξdξ

=

πt

–

e–ξ–tξ– – ξcosxξxξsinxξ dξ.

Thus, we see thatI(t,x) satisfies the partial differential equation

∂tI(t,x) = t–

I(t,x) +

xI(t,x) +

x

∂xI(t,x)

. ()

We may suppose thatx≥ sinceI(t,x) =

π

∞  e

–ξtξ–

cosxξdξ is an even function inx. Now we consider the pointx= √–y(y≤) and get forJ(t,y) :=I(t, √–y)

∂yJ(t,y) =

–

y(∂xI)(t,  √

y), yJ(t,y) = –

y

xI(t, √–y) – 

y∂yJ(t,y).

Therefore, by the change of variablesx= √–y, it holds that

∂tJ(t,y) = t–

J(t,y) –y∂

yJ(t,y) +

y–  

∂yJ(t,y)

.

To solve this partial differential equation, we shall use the method of separation of vari-ables. By puttingJ(t,y) =∞n=Ln(t)Kn(y), we obtain

t∂tLn(t)

Ln(t)

=–y∂

yKn(y) – (y)∂yKn(y) +Kn(y)

Kn(y)

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We immediately see thatLn(t) =tλnLn(). It is known that

I(t, ) =

π

e–ξ–tξ–

=√ e –t ≡√   +(–) ! t+(–) ! t+· · · . ()

We note that

I(t, ) =J(t, ) = ∞

n=

Ln(t)Kn() =

n=

Ln(t),

here we may takeKn() =  for allnNby choosing the suitableLn(t). Hence we see that

λn=n and

Ln(t) =tnLn() =

 (–)n

n! t

n.

Meanwhile, the eigenvalue problem

y∂yKn(y) –

 –y

∂yKn(y) +

 Kn(y) =

n

Kn(y)

withKn() =  has

Kn(y) =F

 –n

 ,  ,y

.

Thus it follows that

J(t,y) = ∞

n=

Ln(t)Kn(y) =

n=  √  (–)n

n! t

n

F

 –n

 ,  ,y

,

which gives

I(t,x) =√ 

n=

tn(–)

n

n! F

 –n

 ,  , – x  . ()

We knew that I(t,x) is an even function in advance and supposed that x≥. The last representation also implies thatI(t,x) is an even function inx. So, () holds for allxR.

We have derived () by solving the partial differential equation. To avoid confusion, let us denote the solution represented as in () byI˜(t,x). It remains to show the uniqueness of

˜

I(t,x) =√ 

n=tn(–) n

n! F( –n

 ,  , –

x

) andI(t,x) =

π

∞  e–ξ

tξ–

cosxξdξ except the case oft= . Instead ofI(t,x), we consider for (s,x)∈(,∞)×R

I(s,x)=I(√s,x)=

π

(18)

for the differentiation with respect tos. Then, by Stirling’s formula, we obtain

sm∂xjI(s,x)≤

π

e–ξ/·e–ξ–m·e–ξ/ξj/

Csup

η≥e

ηm·sup

μ≥e –μ/μj/

Cem

m s

m

·ej/jj/

Crsm+jm!(j!)/ ≤Crsm+jm!j!.

This implies that I(s,x) is analytic for (s,x) ∈ [s,∞) × R with arbitrarily fixed

s> . Therefore, we see that I(t,x) =

π

∞  e–ξ

tξ–

cosxξdξ is analytic for (t,x)∈

(,∞)×R.

Remark . ProbablyI(t,x) would be analytic also att= . ButI(s,x) (=I(√s,x)) loses the analyticity ats= . Indeed, we find thatI(√s, ) =√

e –√s=

{ + (–)

!

s+(–)!s+· · · }.

The Taylor expansion around a pointt=T>  gives

I(t,x)

=

π

e–ξ–tξ–cosxξdξ

=

n≥,k≥

an,k(tT)nxk,

sinceI(t,x) is an even function inx. By () we also get another Taylor expansion

˜

I(t,x) =√ 

n=

(tT) +T n(–)

n

n! F

 –n

 ,  , –

x

=

n≥,k≥ ˜

an,k(tT)nxk.

ThenU(t,x) :=I(t,x) –I˜(t,x) =n≥,k≥un,k(tT)nxksatisfies

∂tU(t,x) = t–

U(t,x) +

xU(t,x) +

x

∂xU(t,x)

,

and by ()

U(t, )≡.

Therefore, we getun,=  for alln≥ and

n≥,k≥

nun,kt(tT)n–xk=

n≥,k≥

(k+ )un,k+ (k+ )un,k+ (tT)nxk, ()

here we used that

xI=

n≥,k≥

k(k– )un,k(tT)nxk–=

n≥,k≥

(k+ )(k+ )un,k+(tT)nxk.

Moreover, the left-hand side of () is changed into

n≥,k≥

nun,kt(tT)n–xk=

n≥,k≥

(19)

Thus, it holds that

nun,k+ (n+ )un+,kT= (k+ )

un,k+ (k+ )un,k+ .

Hence, whenun,=  for alln≥, we find thatun,=  for alln≥, and recursivelyun,k= 

for alln≥ andk≥. So, we have

U(t,x) =

n≥,k≥

un,k(tT)nxk≡.

This concludes that I(t,x) (=

π

∞  e–ξ

tξ–

cosxξdξ) must coincide with ˜I(t,x) (= 

√ 

n=tn(–) n

n! F( –n

 ,  , –

x

)) for (t,x)∈(,∞)×R.

As an application of Proposition ., we can compute the Fourier transform and the wavelet transform of concrete functions in the Gelfand-Shilov spaces. So, now let us take

ˆ

ψ(ξ) =fˆ(ξ) =e–ξ–ξ–. We see thatψ,f S/,/

/,h (R) for someh>  sincee–ξ

givesμ= / and the Gevrey functione–ξ– givesδ= / andν= / by the Paley-Wiener theorem. Then by () it follows that

Wψf(a,b) = 

a

e–(+a)ξ–(+a–)ξ–cosbξdξ

= 

a ( +a)

e–ω–(+a–)(+a)ω–cos√ b

 +aωdω

=

a ( +a)

–∞e

–ω–(a+/a)ω–

ei

b

+aωdω

=

πa ( +a)

F–e–ω–(a+/a)ω– b  +a

.

By the Paley-Wiener theorem, we find that for someρ> 

Wψf(a,b)≤Ce–ρ|b/ √

+a|/

Ce–ρ|b/(+a)|/.

This implies that the order (i) in Theorem . is almost optimal with respect toaandb. Using Proposition . witht=  andt=a+ /a, we have the following.

Theorem . Letψˆ(ξ) =fˆ(ξ) =e–ξ–ξ–forξ= and= forξ= .Then

ψ(x) =f(x) =√ 

n= (–)n

n! F

 –n

 ,  , –

x 

S/,/,/h (R)

for some h> ,and the wavelet transform is given by

Wψf(a,b) =

π

a ( +a)

n=

{–(a+ /a)}n

n! F

 –n

 ,  , –

b ( +a)

,

(20)

Remark . Especially whenb= , we also find

Wψf(a, )=

π

a ( +a)

e–(a+a). ()

Then (iii)in Theorem . becomes

a–/ehmax{a,a–}WψfL(RR)≤Ce

hmax{|ξ|,|ξ|–}ˆf L(R).

() implies thatmax{a,a–}in (iii)cannot be improved anymore sinceh and

hmaxa,a– ∼

a+

a

.

Remark . As introduced in Remark ., the Bessel waveletψ(x) satisfiesψˆ(ξ) =e–ξ–ξ– forξ>  andψˆ(ξ) =  forξ≤ belongs toS,+(R). Hence, we also see that

ψ(x) = 

π√ –ixK( √

 –ix) + 

π√ +ixK( √

 +ix)

satisfiesψˆ(ξ) =e–|ξ|–|ξ|–forξ=  andψˆ(ξ) =  forξ=  belongs toS(R) andS,,h(R) for someh> .

5 Conclusions

In this paper, we consider the Banach spaces of Gelfand-Shilov functions satisfying van-ishing moment conditions and study the wavelet transforms. Our contributions are as follows:

() We derived sharp estimates of the wavelet transforms which are useful for the time-frequency analysis, and stated the continuity properties of the wavelet transforms in Gelfand-Shilov spaces as a corollary.

() We computed the Fourier transforms and the wavelet transforms of concrete functions in the Gelfand-Shilov spaces. These examples show the optimality of estimates in Theorem ..

Appendix

Concerned with the inverse wavelet transform, we also get the following.

Theorem A. Letμ,ν,h,handδbe positive constants such thatμ+ν≥,h<h.Define that d(λ) =λ(λ– )–+/λ.Then,for the inverse wavelet transform M

ψ with the wavelet ψSμ,δν,h(R),the following estimates hold:for FVν,μ,δh(R+×R)

(iv) ehd(ν/μ+)|x|/(μ+ν)MψFL(R)

Ceh{|b/max{,a}|/ν+a/μ+a–/δ}FL(R+×R) ifν> ,

(iv) eh–/νd(ν/μ+)|x|/(μ+ν)MψFL(R)

(21)

(v) |ξ|

/ehd(δ/μ+)/μ(max{|ξ|,|ξ|–})/(μ+δ)

|ξ|+  F[MψF]

L(R)

eh{|b/max{,a}|/ν+a/μ+a–/δ}FL(R+×R) ifμ> ,

(v) eh–/μd(δ/μ+)/μ(max{|ξ|,|ξ|–})/(μ+δ)F[MψF]L(R)

Ceh{|b/max{,a}|/ν+a/μ+a–/δ}FL(R+×R) if <μ≤.

The weight function of (iv) and (v) can be estimated as

eh{|b/max{,a}|/ν+a/μ+a–/δ}≤ehmax{|b/(a+)|/ν,a/μ,a–/δ},

and estimated from below as

ehd(ν/μ+)|x|/(μ+ν)≥ceh|x|/(μ+ν),

and

|ξ|/ehd(δ/μ+)/μ(max{|ξ|,|ξ|–})/(μ+δ)

|ξ|+  ≥

ceh{|ξ|/(μ+δ)+|ξ|–/(μ+δ)} |ξ|/+|ξ|–/ ≥

c

e

h{|ξ|/(μ+δ)+|ξ|–/(μ+δ)}

in the same way with (). Therefore, by Theorem A., we can also get the following conti-nuity property.

Corollary A. Letμ,ν,h andδbe constants such thatμ> ,ν> ,h> andδ> .Then,

for the wavelet ψSμ,δν,h(R),the inverse wavelet transform Vν,μ,δh(RR)FMψF

Sμ+δ,μ+δμ+ν,h (R)is continuous.

We shall only give a sketch of the proof of Theorem A..

•Case ofν> ) From the definition of the inverse wavelet transform we get

ehd(ν/μ+)|x|/(μ+ν)MψF(x)

Ceh{|b/max{,a}|/ν+a/μ+a–/δ}F

×

R+

R

a–/eh{|b/max{,a}|/ν+a/μ+a–/δ+|(xb)/a|/νd(ν/μ+)|x|/(μ+ν)}db da.

We shall use the Hölder inequalityA+B≥(Ap)/p(Bq)/qwithp=μ/ν+ ,q=ν/μ+ . If

a≥, Lemma . withα=|x/ab/a|,β=|b/a|gives

maxb{,a}

/ν+a/μ+a–/δ+xb

a /ν–d

ν μ+ 

|x|/(μ+ν)

≥ – /νminx

ab a /ν,b

a

/ν+x

a

/ν+a/μ–d

ν μ+ 

|x|/(μ+ν)+a–/δ

≥ – /νminx

ab a /ν,b

a

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