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Deficient splines wavelets

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COHERENT STATES, WAVELETS AND APPLICATIONS

Satellite G24-UCL, July, 2002 Deficient splines wavelets

F. Bastin, P. Laubin University of Li`ege, Belgium

1

Introduction

Splines are intensively used in different domains (numerical analysis, approximation theory,. . . ) It is also well known that wavelets which are spline functions have been constructed some years ago; let us quote the works of Chui and Wang, Mallat, Meyer ([2], [6],[7]).

In some problems of numerical analysis (see for example [3], [8]), deficient splines are prefered to classical splines. Then a natural question arises in the context of wavelets: is it possible to construct bases wavelets which are splines of that kind? This problem is treated in a very general aspect in the papers [4], [5].

Here we present a constructive and direct way to obtain a mutiresolution analysis generated by deficient splines which are piecewise polynomials of degree 5, regularity 3, and have a compact support. Then, by a natural procedure, we obtain wavelets which are also functions of that type.

2

The results

Let us denote V0 the following set of quintic splines

V0 := {f ∈ L2(R) : f |[k,k+1]= Pk(5), k ∈ Z and f ∈ C3(R)}.

Looking for f ∈ V0 with support [0, 3] (smaller interval does not give anything), we are lead to a

homogenous linear system of 18 unknowns and 16 equations; this make us think that two scaling functions will be needed to generate V0.

Proposition 2.1 A function f with support [0, 3] belongs to V0 if and only if

f (x) =        nx4+ ax5 if x ∈ [0, 1] bx5+ cx4+ dx3+ ex2+ f x + g if x ∈ [1, 2] h(3 − x)4+ j(3 − x)5 if x ∈ [2, 3] 0 if x < 0 or x > 3 with n = −45c − 103 d a = 157 c + 458d b = −1975c − 45019d e = −−18 5 c − 135 d f = 185 c +2110d g = −2725c −2950d h = −c − 13d j = 4675c +45091d Theorem 2.2 The following functions ϕa and ϕs

ϕa(x) =        x4− 1115x5 if x ∈ [0, 1] −98(x − 32) + 3(x −32)3−3815(x −32)5 if x ∈ [1, 2] −(3 − x)4+11 15(3 − x)5 if x ∈ [2, 3] 0 if x < 0 or x > 3

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ϕs(x) =        x43 5x5 if x ∈ [0, 1] 57 80− 32(x −32)2+ (x −32)4 if x ∈ [1, 2] (3 − x)4− 35(3 − x)5 if x ∈ [2, 3] 0 if x < 0 or x > 3

are respectively antisymmetric and symmetric with respect to 32 and the family {ϕa(. − k), k ∈ Z} ∪ {ϕs(. − k), k ∈ Z}

constitutes a Riesz basis of V0.

Here is a picture of ϕs, ϕa. 0.5 1 1.5 2 2.5 3 0.2 0.4 0.6 0.8 1 0.5 1 1.5 2 2.5 3 -0.4 -0.2 0.2 0.4

The result is obtained using Fourier techniques for the computations.

To get the Riesz condition, we first show that each of the families {ϕa(. − k), k ∈ Z} and {ϕs(. −

k), k ∈ Z} satisfies this condition. Then, using the fact that the L2(R)-norm of functions of the linear hull of the union of the families can be written as the L2([0, 1])-norm of functions which belongs to a linear space of finite dimension, and the fact that, separately, the families satisfies the Riesz condition, we get the result.

To obtain that these families generate V0, we just solve the equations obtained when we write

down the problem.

Now, we construct multiresolution analysis. For every j ∈ Z we define

Vj = {f ∈ L2(R) : f (2−j.) ∈ V0}.

Proposition 2.3 We have Vj ⊂ Vj+1 for every j and

\ j∈Z Vj = {0}, [ j∈Z Vj = L2(R).

Moreover, the functions ϕa, ϕs satisfy the following scaling relation

  c ϕs(2ξ) c ϕa(2ξ)   = M0(ξ)   c ϕs(ξ) c ϕa(ξ)  

where M0(ξ) is the matrix (called filter matrix)

M0(ξ) = e−3iξ/2 64   51 cos( ξ 2) + 13 cos( 3ξ 2) −9i(sin( ξ 2) + sin( 3ξ 2))

i(11 sin(3ξ2) + 21 sin(ξ2)) −7 cos(3ξ2) + 9 cos(ξ2))   .

And finally, using standard procedure, we get wavelets. We denote W0 the orthogonal complement

of V0 in V1.

First we define the matrix W (ξ) as follows 

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with ωa(ξ) = +∞ X l=−∞ |ϕca(ξ + 2lπ)|2= 23247 − 21362 cos ξ − 385 cos(2ξ) 311850 ωs(ξ) = +∞ X l=−∞ |ϕcs(ξ + 2lπ)|2 = 14445 + 7678 cos ξ + 53 cos(2ξ) 34650 ωm(ξ) = +∞ X l=−∞ c ϕs(ξ + 2lπ)ϕca(ξ + 2lπ) = − i 51975sin ξ (6910 + 193 cos ξ).

Proposition 2.4 A function f belongs to W0 if and only if there exists p, q ∈ L2loc, 2π− periodic such

that b f (2ξ) = p(ξ)cϕs(ξ) + q(ξ)ϕca(ξ) and M0(ξ)W (ξ)  p(ξ) q(ξ)  + M0(ξ + π)W (ξ + π)  p(ξ + π) q(ξ + π)  = 0 a.e. We explicitely solved this matrix equation and find

Proposition 2.5 there exist symmetric and antisymmetric solutions with support in [0, 5]. We use the notations

ψs(2ξ) = ps(ξ)cϕs(ξ) + qs(ξ)ϕca(ξ)

ψa(2ξ) = pa(ξ)ϕcs(ξ) + qa(ξ)ϕca(ξ).

We have (with natural definition of M1)

c ψs(2ξ) c ψa(2ξ) ! = M1(ξ)  c ϕs(ξ) c ϕa(ξ)  .

Here are ψs, ψa (up to a multiplicative constant)

1 2 3 4 5 -200 -100 100 200 1 2 3 4 5 -400 -200 200 400

Proposition 2.6 The family

{ψa(. − k) : k ∈ Z} ∪ {ψs(. − k) : k ∈ Z}

form a Riesz basis of W0.

To obtain this result, we proceed as follows, using essentially techniques of Goodman and Lee. Define Wψ(ξ) =  ωψs(ξ) ωψs,ψa(ξ) ωψs,ψa(ξ) ωψa(ξ) 

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where ωψa(ξ) = +∞ X l=−∞ |cψa(ξ + 2lπ)|2, ωψs(ξ) = +∞ X l=−∞ |cψs(ξ + 2lπ)|2, ωψs,ψa(ξ) = +∞ X l=−∞ c ψs(ξ + 2lπ)cψa(ξ + 2lπ).

The Riesz condition is satisfied if and only if there are A, B > 0 such that A ≤ λ1(ξ), λ2(ξ) ≤ B

where λi(ξ) are the eigenvalues of Wψ(ξ).

The functions form a basis if and only if for every ξ, the matrix  M0(ξ) M0(ξ + π) M1(ξ) M1(ξ + π)   W (ξ) 0 0 W (ξ + π)  is not singular.

The properties above are easily obtained using the three relations

W (2ξ) = M0(ξ)W (ξ)M0∗(ξ) + M0(ξ + π)W (ξ + π)M0∗(ξ + π)

0 = M1(ξ)W (ξ)M0∗(ξ) + M1(ξ + π)W (ξ + π)M0∗(ξ + π)

Wψ(2ξ) = M1(ξ)W (ξ)M1∗(ξ) + M1(ξ + π)W (ξ + π)M1∗(ξ + π)

which are consequences of the previous constructions and properties of multiresolution analysis and functions in W0.

Theorem 2.7 It follows that the functions

2j/2ψs(2jx − k), 2j/2ψa(2jx − k) (j, k ∈ Z)

form a Riesz basis of compactly supported deficient splines of L2(R) with symmetry properties.

To conclude, let us mention a result of Gilson, Faure, Laubin ([3]) concerning an application of splines (deficient splines) in approximation theory of singular functions.

For q ≥ 1, let SN

3,q the space of classical cubic splines on the interval [0, 1] with respect to the

subdivision (j/N )q, j = 0, . . . , N .

Proposition 2.8 If [α0, α1] ⊂ R with α0 > −1/2 and q(1 + 2α0) > 8, then there exists C > 0 such

that inf u∈SN 3,q ku − xαkL2(]0,1[) ≤ C N4

for every N ∈ N and α ∈ [α0, α1].

There is an extension of this result to DEFICIENT SPLINES of odd degree and to Sobolev spaces.

References

[1] F. Bastin and P. Laubin, Quintic deficient spline wavelets, to appear (2002) in a volume of the Bulletin de la Soci´et´e Royale des Sciences de Li`ege.

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[3] O. Gilson, O. Faure, P. Laubin, Quasi-optimal convergence using interpolation by non-uniform deficient splines, submitted for publication

[4] T.N.T. Goodman, S.L. Lee, Wavelest of multiplicity r, Trans. Amer. Math. Soc. 342, 1, 1994, 307-324

[5] T.N.T. Goodman, S.L. Lee, W.S. Tang, Wavelets in wandering subspaces, Trans. Amer. Math. Soc., 338, 2, 1993, 639-654

[6] S. Mallat, Multiresolution approximations and wavelet orthonormal bases of L2(R), Trans. Amer. Math. Soc., 315(1), 1989, 69-88.

[7] Y. Meyer, Ondelettes et op´erateurs, I,II,III, Hermann, Paris, 1990.

[8] S.S. Rana, Dubey Y.P., Best error bounds of deficient quintic splines interpolation, Indian J. Pure Appl. Math., 28, 1997, 1337-1344

Address F. Bastin

University of Li`ege, Institute of Mathematics, B37, 4000 Li`ege, Belgium

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