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M2AN. MATHEMATICAL MODELLING AND NUMERICAL ANALYSIS

- MODÉLISATION MATHÉMATIQUE ET ANALYSE NUMÉRIQUE

F RANZ -J ÜRGEN D ELVOS W ALTER S CHEMPP

Convergence of approximate splines via pseudo-inverses

M2AN. Mathematical modelling and numerical analysis - Modéli- sation mathématique et analyse numérique, tome 21, no2 (1987), p. 261-267

<http://www.numdam.org/item?id=M2AN_1987__21_2_261_0>

© AFCET, 1987, tous droits réservés.

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MODÉLISATION MATHÉMATIQUE ET ANALYSÉ NUMÉRIQUE

(Vol. 21, n° 2, 1987, p. 261 à 267)

CONVERGENCE OF APPROXIMATE SPLINES VIA PSEUDO-INVERSES (*)

by Franz-Jürgen DELVOS (X) and Walter SCHEMPP (*)

Communicated by P. J. LAURENT

Dedicated to the memory of Professor Dr. Ulrich Tippenhauer

Abstract. — The notion o f pseudo-inverse has been proved to be an efficient tooi in the functional analytic theory of splines [1, 2, 3, 4, 5, 6, 7, 9]. In this paper we apply the concept of pseudo-inverse to de fine abstract approximate interpolating splines and extend thereby the polynomial approximate splines introduced by I. J. Schoenberg [8]. Moreovery we establish a

limit characterization for abstract interpolating splines which generalizes a corresponding resuit of Schoenberg for natural polynomial splines.

Résumé. — La notion de pseudo-inverse a montré son efficacité comme outil dans la théorie fonctionnelle analytique des splines [1, 2, 3, 4, 5, 6, 7, 9]. Dans cet article nous appliquons le concept de pseudo-inverse pour définir un concept abstrait de splines d'interpolation et étendons de cette façon les splines polynomiaux approchés introduits par L J. Schoenberg [8]. En outre, nous établissons une caractérisation limite pour des splines abstraites d'interpolation qui généralise le résultat correspondant de Schoenberg pour les splines polynomiaux naturels.

INTRODUCTION

Let //, Hu H2 be real or complex Hubert spaces and

be surjective bounded linear operators. Let N(T) and N(S) be the kernels of T and 5. If the uniqueness condition

N(T)HN{S)= {0}

is valid and T(N(S)) is closed there is a unique abstract interpolating spline CT in H associated with y € H2 satisfying

= m i n { || Tx\\ : x e h, Sx - y} [7] .

(*) Received in February 1986.

C) Lehrstuhl fur Mathematik I, Univcrsitàt Sicccn, D-5900 Siegen, R.F.A.

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262 F.-J. DELVOS, W. SCHEMPP

Suppose that Um, m e N is an increasing séquence of closed linear subspaces of H satisfying

S(Um) = ff2 , meN.

Using the calculus of operator pseudo-inverse we will show that for any y e H2 there is a unique am e Um satisfying

svm = y >

\\Tvm\\ - m i n {\\Tu\\:ueUm,Su = y} .

The element am will be called a.-£/m-approximate spline (relative to T, S, y).

For the special case óf natural poiynomiai splines (T = Dn, S = bXl x • • • x 8Xfc, n fz-k) Schoenberg [8] proved the existence of irm- approximate splines for any m^k where rnm is the linear space of polynomials of degree less or equal m. He derived an interesting limit relation for the natural polynomial splines via the irm-approximate splines.

We will show that a corresponding limit relation remains valid for abstract interpolating splines. As an application we will dérive a limit characteriza- tion of periodic polynomial splines by trigonométrie approximate splines.

1. APPROXIMATE SPLINES

First we will recall the basic properties of the pseudo-inverse of a bounded linear operator A from a Hubert space H into a Hubert space G such that the range R(A) o f A is closed.

The pseudo-inverse A + of A is the unique bounded linear operator from G into H satisfying the Moore-Penrose équations

AA+ A =A , A+ AA+ = A + (AA+)* =AA+, (A+ A)* =A+ A .

Thus, AA + is the orthogonal projector on R (A ) and A + A is the orthogonal projector on the orthogonal complement of N (A ) :

AA+ =PR(A), A A =

If A is surjective the pseudo-inverse of A is given by A+ =A*(AA*)-1 .

It was shown in [7] that H is a Hubert space with respect to the Golomb- Weinberger-Sard scalar product associated with 71, 5 :

(x,v)= {TxtTy)+(Sx,Sy) (x,yeH).

We dénote by ||jt || = (x, x)m the associated norm which is equivalent to the original norm of H [7]. We assume for the sequel that H carries the

M2' AN Modélisation mathématique et Analyse numérique Mathematical Modelling and Numerical Analysis

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Golomb-Weinberger-Sard scalar product. Let Pm dénote the unique ortho- gonal projector in H with range Um :

R(Pm) = Um.

THEOREM 1 : Suppose y e H2. Then am = (SPmy y

is the Um-approximate spline relative to y, T, S, Le., am is the unique element in Um satisfying

\\Tum\\ =min {||rM|| : u e Um9 Su = y} . Proof: Since SPm is surjective we have

(sp

m

y =p

m

s*(sp

m

s*y

1

(i)

which implies

Taking into account

(SPm)(SPmy = 55+ = idff2 (2) we get

m

^s(sp

m

y

y

= sp

m

(sp

m

y

y

,

i.e.,

s<*m = y • Next assume

ueUm, Su = y . Then

u~<rmeN(S)

and we obtain by using the Moore-Penrose équations and the structure of the Golomb-Weinberger-Sard scalar product

||rM||2 = ||r<rm||2 + \\T(u - am)\\2 + {Tam, T(u - am)) + {T(u - am), Tam)

= ||ram||2+ \\u-am\\2 + (am,u-am)+ (u-am,am)

= \\Tam\\2+\\u-am\\2

m)+ SPm am, u-am)+(u- am, (5Pm)+ SPm am)

«il

, (SPmy S (u - «rm» + ((SPmy S(u - aM), am) ,

= | | r am| |2+ | |M- aO T| |2

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264 F.-J. DELVOS, W. SCHEMPP

Le., we have shown

| | rM| |2= ||7Vm||2+||«-<xm||2. This complètes the proof of theoreml.

Remark : Recall that the operator (SPm)+ is the restricted pseudo-inverse of 5 with respect to Um [2, 3].

Schoenberg's polynomial approximate splines are obtained by choosing

T = dn/dxn,

S = SXi x • * • x 8^ (a ^ x i < x2 •< • • • < xk ^b, k> n) ,

Here ^ " [ a , b] dénotes the Sobolev space of order n.

Our next example is associated with periodic polynomial splines of degree 2 n — 1 which are obtained by specifying

T = dn/dx*,

(0 ^ xx < x2 < • • • < x2 fc +1 < 2 ir, A: ^ 0 ) . Here W2iT dénotes the periodic Sobolev space of order n :

W$v= {f e W2»[0,2ir]:Z)>/(0) = JDV(2ir) (ƒ = 0, ..., « - 1)}

Let

dénote the class of trigonométrie polynomials of degree m. It is a well known result that for any (yly ...,3?2jt + i ) C2k + 1 there is a unique trigonométrie polynomial Tk € Tk such that

Thus, theorem 1 is applicable and we obtain the following

COROLLARY 1.1: For any vector (yv ..., y2k + i) ^ere is a unique trigonométrie polynomial Tm e rm satisfying

2V \D"Tm(x)\2dxm f*" \D"T(x)\2dx o Jo

M2 AN Modélisation mathématique et Analyse numérique Mathematical Modelling and Numerical Analysis

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2. THE LIMIT RELATION

Our next objective is to dérive a limit characterization of the abstract interpolation spline cr = 5+ y in terms of the approximate splines crm = (SPm)+ y. For this purpose we need the following extremal property of am.

THEOREM 2 : The approximate spline crm is the unique element in Um satisfying

||<r-CTm|| = m i n { | | a - w | | : w e Um, Su = y} . Proof: We proceed as in the proof of Theorem 1. Suppose that

u e Um , Su = Sa = y . Then

<j-ueN(S) and taking into account

we get

+ (7Vr,r(«-<r))+(r(«-a),ra)

= | | r a | |2+ \\u - o-||2 + (a,u - a ) + (M - cr,a) , i.e., we have

| | 7 K | |2= | | r a | |2+ | | C T - M | |2 (M e Um, Su = y) .

Now an application of Theorem 1 complètes the proof of Theorem 2.

For the sequel we will assume that the union of the sets Um, meN,

is a dense subspace of H. Then we have the limit relation

lim | | * - Pm* | | = 0 (xeH). (3)

m-> oo

THEOREM 3 : Let a be the abstract interpolating spline relative to T, S} and y and let am be the V^-approximate spline relative to T, S, y. Then the error estimate

||a-«rm|| ë (1+ ||(5P1)+ 5||)||a-Pma|| (4)

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266 F.-J. DELVOS, W. SCHEMPP

is valid. In particular, we have

Urn || o- - orm || = 0 . (5)

+ oo

Proof: Since Um, m e N, is an increasüig séquence of subspaces we have in view of (1)

r S(fT-Pma)eUm. Moreover, we obtain from (2)

Svm = SPm <x + SiSP.T S(v - Pm a )

r S(a-P

m

cr)

= SPm<T + S(<J-Pm<T), i.e., we have

Svm = y , vmm. Now an application of theorem2 yields

i.e., we have

?è W* - Pm<r\\ + WiSPO* S{* - Pm<r)\\

er i ^

Thus, Theorem3 follows from the relation (3).

The relation (5) represents a limit characterization of the abstract interpolating spline er by the approximate splines am, m eN. For the special case of natural polynomial splines we obtain Schoenberg's limit characteriza- tion of the natural spline o- via the 7rm-approximate splines am, m e N [8]. It should be noted that Theorem3 yields an explicit error estimate. For further applications of pseudo-inverses to convergence of abstract splines we refer to [6].

We conclude with applying Theorem 3 to periodic polynomial splines.

COROLLARY 3.1 : The séquence Tm, / n e N , o f trigonométrie approximate splines converges in the Sobolev norm of W^ to the periodic polynomial spline a of degree 2 n — 1.

Proof: Since the trigonométrie polynomials form a dense subspace of W$TT Theorem 3 is applicable.

M2 AN Modélisation mathématique et Analyse numérique Mathematical ModelHng and Numerical Analysis

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CONVERGENCE OF APPROXIMATE SPLINES 267

REFERENCES

[1] R. E. CHANG, The generalized inverse and interpolation theory, in « Recent Applications of Generalized inverses» (S. L. Campbell, Ed.), Pitman, New York, 1983.

[2] F.-J. DELVOS, Splines and pseudo-inverses, RAIRO Anal. Numer. 12 (1978), 313-324.

[3] F.-J. DELVOS, Pseudoinversen und Splines in Hilbertràumen, Habilitationsschrift, Universitât Siegen 1979.

[4] F.-J. DELVOS and W. SCHEMPP, Optimal approximation and the method o f least squares, J. Approx. Theory 33 (1981), 214-223.

[5] C. W. GROETSCH, Generalized inverses and generalized splines, Numer. Funct.

Optim. 2 (1980), 93-97.

[6] S. IZUMINO, Convergence of generalized inverses and spline projectors, J.

Approx. Theory 38 (1983), 269-278.

[7] P. LAURENT, Approximation et optimisation, Paris, Herrmann 1972.

[8] I. J. SCHOENBERG, Splines as limits of polynomials, Linear Algebra and its Applications 52153 (1983), 617-628.

[9] M. TASCHE, A unified approach to interpolation methods, J. Intégral Equations 4 (1982), 55-75.

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