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ANNALES MATHÉMATIQUES

BLAISE PASCAL

Ming Gen Cui, Huan Min Yao, Huan Ping Liu The Affine Frame in p-adic Analysis

Volume 10, no2 (2003), p. 297-303.

<http://ambp.cedram.org/item?id=AMBP_2003__10_2_297_0>

©Annales mathématiques Blaise Pascal, 2003, tous droits réservés.

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Centre de diffusion des revues académiques de mathématiques

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The Affine Frame in p-adic Analysis

Ming Gen Cui Huan Min Yao Huan Ping Liu

Abstract

In this paper, we will introduce the concept of affine frame in wavelet analysis to the field of p-adic number, hence provide new mathematic tools for application of p-adic analysis.

1 Introduction

The concept of affine frame was introduced to wavelet analysis at first in reference [2]. And the theory of affine frame was studied in reference [3] and [4] further. In this paper, we introduce the concept of affine frame in wavelet analysis to the field of p-adic number as the discrete formula of wavelet transform. Before now, we have introduced the wavelet transform to the field of p-adic analysis([1]). General knowledge on p-adic analysis see [6].

It is known that if x = prPn

k=0xkp−k ∈ R+∪ {0}, x0 6= 0. 0 ≤ xk ≤ p−1, k = 1,2,· · · ,then there is another expression for x.

x=pr(

n−1

X

k=0

xkp−k+ (xn−1)p−n+ (p−1)

X

k=n+1

p−k) (1.1) We don’t adopt this expression. LetMR be the set of numbers in the form of (1.1). An mapping ρ was introduced in reference [5], which ρ : Qp → R+∪ {0}, forx=p−rP

x=0xkpk, x06= 0, 0≤p−1, k= 1,2,· · · ρ(x) =p−r−l

X

k=0

xkp−k (1.2)

ForaR, bR ∈R+∪ {0}, mapping (1.2) follows that

bR −aR =µ([ap, bp]), ap−1(aR), bp−1(bR)

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M.G. Cui, H.M. Yao and H.P. Liu

and then we have the following lemma.

Lemma 1.1:Letf(xp)∈L2(Qp)andfR(xR)def= f(ρ(xp)), xp∈Qp, , xR = ρ(xp)then

Z bp ap

f(xp)dxp= Z bR

aR

fR(xR)dxR, where aR =ρ(ap), bR =ρ(bp).

Remark: µ

ap, bp]} is defined as the infimum of measure of all the disjoint discs covering

Bri(ai) for interval[ap, bp],and for complex-valued functionf, the integral of f is defined by

Z

[ap,bp]

fdxpdef= inf{

Bri(ai)}

X

i

f(ai)µ Bri(ai) .

2 The Frame in L

2

(Q

p

)

Letf, h∈L2(Qp).The following we will discuss conditions of{hm,n}becomes to the frame ofL2(Qp).Here, the so-called frame defined as: ∃A, B >0such that

Akfk2L2(Qp) ≤X

m,n

|(f, hmn)|2L2(Qp) ≤Bkfk2L2(Qp)

where

kfk2L2(Qp) = Z

Qp

|f|2dxp

(f, hmn)L2(Qp) = Z

Qp

f hmndxp

It is known that if {hmn} is the frame of L2(Qp), then the function f ∈ L2(Qp)can be express as

f(xp) =X

m,n

(f, hmn)L2(Qp)hmn(xp) =X

m,n

(f, hmn)L2(Qp)hmn (2.1)

here hmn = S−1hmnis the dual frame of hmn,and S : L2(Qp) → L2(Qp) is the frame operator.

Sf =X

m,n

(f, hmn)L2(Qp)hmn

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Theorem2.1. Letf, h∈L2(Qp)be complex-value function, andh(0) = 0, xR =ρ(xp), xp∈Qp\M, hereM =ρ−1(MR), and measure of setM be equal to 0. Selectb0=pr(b0), r(b0)∈Z, a0=pr(a0), r(a0)∈Z. If

(1) ∃A, B >0such that forω6= 0 A≤G(ω)def= X

m∈Z

bh1( ω

am0 )

2≤B,

(2) suppbh1⊂[−2b1

0,2b1

0]

then (

hmn(xp)def= am/20 h α(m)n (xp)−xp a−m0

!)

n,m∈Z

is a frame ofL2(Qp), where α(m)n (xp) =

ρ−1(xR+a−m0 nb0) +xp , xR+a−m0 nb0>0 xp , xR+a−m0 nb0≤0 the signb denotes the Fourier transform

fb(w) = Z

R

f(x)e−2πiωxdx andh1is defined from(2.3).

Proof. From the definition ofαn(m)(xp), we have (Sf, f)L2(

Qp) = X

m,n∈Z

(f, hmn)L2(Qp)

2

= X

m,n∈Z

am0 Z

Qp\M

f(xp)h

n(m)(xp)−xp a−m0

) dxp

2

= X

m,n∈Z

am0 Z

R+∪{0}

fR(xR)h1

xR+a−m0 nb0 a−m0

dxR

2

(2.2)

where xR =ρ(xp), xp∈Qp\M, fR(xR) =f(ρ−1(xR)), h1(xR) =

h(ρ−1xR), xR >0

h(0), xR ≤0 (2.3)

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M.G. Cui, H.M. Yao and H.P. Liu

Let

fR+(xR) =

fR(xR), xR ≥0 0, xR <0 Thus, from(2.2), the following equalities hold

X

m,n∈Z

(f, hmn)L2(Qp)

2

= X

m,n∈Z

am0 Z

R

fR+(xR)h1 xR+a−m0 nb0 a−m0

dxR

2

= X

m,n∈Z

a−m0 Z

R

fcR+(ω)hb1( ω

am0 )exp(2πia−m0 nb0ω)dω

2

= X

m,n∈Z

a−m0

Z am2b0

0

am2b0 0

fbR+(ω)bh1( ω

am0 )exp(2πia−m0 nb0ω)dω

2

(2.4)

In the last equality, we usedsupphb1⊂[−a2bm0

0,a2bm0

0]. But

1 am0/b0

Z am0 2b0

am0 2b0

fcR+(ω)hb1( ω

am0 ) exp 2πia−m0 nb0ω dω

is the Fourier coefficient of the function fcR+(ω)hb1( ω

am0 ). Denotes this coeffi- cient byc−n. By the P arseval equality, we have

X

n∈Z

cn

2= 1

a2m0 /b20 X

n∈Z

Z am0 2b0

am0 2b0

fcR+(ω)hb1( ω

am0 ) exp 2πia−m0 nb0ω dω

2

= b0 am0

Z am0 2b0

am0 2b0

fcR+(ω)hb1( ω am0 )

2

dω (2.5)

By (2.4), we have

X

m,n∈Z

(f, hmn)L2(

Qp)

2

= 1 b0

X

m∈Z

Z am0 2b0

am0 2b0

fcR+(ω)hb1( ω am0 )

2

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= 1 b0

Z

R

|fcR+(ω)|2|hb1( ω

am0 )|2dω (2.6)

Here

G(ω) = X

m∈Z

hb1( ω am0 )

2

(2.7)

Finally, by the condition of theorem 0< A≤ |G(ω)|2 ≤B and formula (2.6), we have

X

m,n∈Z

|(f, hmn)L2(

Qp)|2=

≥ 1 b0AR

R|fbR+(ω)|2

≤ 1 b0BR

R|fb+

R(ω)|2dω But

Z

R

|fbR+(ω)|2dω= Z

R

|fR+(xR)|2dxR = Z

R+∪{0}

|fR(xR)|2dxR = Z

Qp

|f(xp)|2dxp

=kfk2L2(Qp)

Hence, the theorem follows.

3 Dual frame h

mn

It is known that if {hmn}mn construct a frame of L2(Qp), then expression (2.1) is valid. From (2.6), we have

(Sf, f)L2(Qp) = 1 b0

Z

R

|fbR+(ω)|2G(ω)dω

= 1

b0 Z

R

fcR+G

(xR)f+R(xR)dxR

= 1

b0 Z

R+∪{0}

(fbR+G)(xR)fR(xR)dxR

= 1

b0 Z

Qp

fc+

RG

ρ(xp)

f(xp)dxp (3.1)

where xp = ρ−1(xR), xR ∈ R+∪ {0}, and “∨" is the sign of Fourier inverse transform. Here, we use lemma A.

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M.G. Cui, H.M. Yao and H.P. Liu

(3.1) can be rewritten as (Sf, f)L2(Qp) = 1

b0

( ˆfR+G) ρ(xp)

, f(xp)

L2(Qp)

(3.2)

Sincef is an arbitrary function inQp, Sf

(xp) = 1 b0

R+G

ρ(xp)

(3.3)

or forx∈R+∪ {0}, we conclude that (Sf)R(xR) = 1

b0

R+G

(xR), (Sf)R =S(f◦ρ−1) (3.4) On the basis of formula (3.4), we can extend the domain of function(Sf)R(xR) onto R. Therefore

(Sf)R(ω) = 1

b0fcR+(ω)G(ω), ω∈R+∪ {0} (3.5) Replacingf byS−1f in the formula (3.5), we have

fcRR) = 1

b0(S\−1f)+R(ω)G(ω) Thus

(S\−1f)+

RR) = b0cfR(ω) G(ω) or

(S−1f)+R(xR) =b0n cfR G

o

(xR)

ForxR ≥0, we have

(S−1f)R(xR) =b0n cfR G

o

(xR) or

(S−1f)(xp) =b0 cfR G

ρ(xp)

So for fR(xR), xR ≥0,(S−1f)(xp) =b0[fR∗(G−1)] is valid. Finally, We have

hmn(xp) =b0[(hmn)R∗(G−1)](ρ(xp)), where the sign∗ denotes convolution.

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References

[1] M.G. Cui. Note on the wavelet transform in the fieldqpof p-adic numbers.

Appl. and Computational hormonic Analgsis, 13:162–168, 2002.

[2] I. Daubechies, A. Grossman, and Y. Meyer. Painless nonorthogonal ex- pansion. J. Math. Phys., 27:1271–1283, 1986.

[3] E. Ch. Heil and F. Walnut. Continuous and discrete wavelet transforms.

SIAM Review, 31:628–666, 1989.

[4] B. Lian, K. Liu, and S.-T. Yau. Mirror principle I. Asian J. Math., 4:729–763, 1997.

[5] S.V.Kozyrev. Wavelet theory asp-adic spectral analysis.Izv. Russ. Akad.

Nauk, Ser. Math., 66:149–158, 2002.

[6] V.S.Vladimirov, I.V.Volovich, and E.I.Zelenov.p-adic analysis and Math- ematical Physics. World Scientific, 38 -112, 1994.

Ming Gen Cui Huan Min Yao

Harbin Institute of Technology Harbin Normal University Department of Mathematics Department of Information

Wen Hua Xi Road Science

Weihai, Shandong He Xing Road

P.R. CHINA Harbin, Heilongjiang

[email protected] P.R. CHINA

[email protected]

Huan Ping Liu

Harbin Normal University Department of Information

Science He Xing Road

Harbin, Heilongjiang P.R. CHINA

[email protected]

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