A Structural Theorem of the Generalized Spline Functions 1

Similar documents
A best approximation property of the generalized spline functions

On the efficiency of some optimal quadrature formulas attached to some given quadrature formulas

Subclasses of starlike functions associated with some hyperbola 1

A CLASS OF EVEN DEGREE SPLINES OBTAINED THROUGH A MINIMUM CONDITION

(g, h, M) convex sets. The problem of the best approximation

Approximation of the attractor of a countable iterated function system 1

INEQUALITIES FOR THE NORM AND THE NUMERICAL RADIUS OF LINEAR OPERATORS IN HILBERT SPACES

Fixed point theorems for Ćirić type generalized contractions defined on cyclic representations

WEAK CONVERGENCE OF RESOLVENTS OF MAXIMAL MONOTONE OPERATORS AND MOSCO CONVERGENCE

Projection Theorem 1

SOME INEQUALITIES FOR (α, β)-normal OPERATORS IN HILBERT SPACES. S.S. Dragomir and M.S. Moslehian. 1. Introduction

COMMON FIXED POINT THEOREMS FOR MULTIVALUED OPERATORS ON COMPLETE METRIC SPACES

Seminar on Fixed Point Theory Cluj-Napoca, Volume 1, 2000, nodeacj/journal.htm

EQUICONTINUITY AND SINGULARITIES OF FAMILIES OF MONOMIAL MAPPINGS

ON THE CONVERGENCE OF THE ISHIKAWA ITERATION IN THE CLASS OF QUASI CONTRACTIVE OPERATORS. 1. Introduction

EXISTENCE OF STRONG SOLUTIONS OF FULLY NONLINEAR ELLIPTIC EQUATIONS

SOME PROPERTIES PRESERVED BY WEAK NEARNESS. Adriana Buică

FIXED POINT THEORY FOR MULTIVALUED OPERATORS ON A SET WITH TWO METRICS

SOME DUALITY THEOREMS FOR LINEAR-FRACTIONAL PROGRAMMING HAVING THE COEFFICIENTS IN A SUBFIELD K OF REAL NUMBERS

ABSTRACT AND CONCRETE GRONWALL LEMMAS

Best proximity problems for Ćirić type multivalued operators satisfying a cyclic condition

Abstract Monotone Operators Representable by Abstract Convex Functions

On (M, N)-convex functions

On the diophantine equations of type a x + b y = c z

NOTE ON A FIXED POINT THEOREM

INDICATIVE PROPOSITIONS

Journal of Inequalities in Pure and Applied Mathematics

An estimation of a generalized divided difference in uniformly convex spaces

CHARACTERIZATION OF (QUASI)CONVEX SET-VALUED MAPS

GEOMETRIC PROPERTIES OF SOME ALGEBRAIC CURVES. x = x =

a) Articole publicate în reviste din fluxul ştiinţific internaţional principal:

STATISTICAL METHODS FOR PROCESSING OF BIOSIGNALS

On a bivariate interpolation formula

Sang-baek Lee*, Jae-hyeong Bae**, and Won-gil Park***

PROFESSOR PETRU BLAGA AT HIS 60 TH ANNIVERSARY

GBS operators of Schurer-Stancu type

Alfred O. Bosede NOOR ITERATIONS ASSOCIATED WITH ZAMFIRESCU MAPPINGS IN UNIFORMLY CONVEX BANACH SPACES

Homework If the inverse T 1 of a closed linear operator exists, show that T 1 is a closed linear operator.

Theorem (4.11). Let M be a closed subspace of a Hilbert space H. For any x, y E, the parallelogram law applied to x/2 and y/2 gives.

SOME PROPERTIES ON THE CLOSED SUBSETS IN BANACH SPACES

CHAPTER 7. Connectedness

CARISTI TYPE OPERATORS AND APPLICATIONS

arxiv: v1 [math.oc] 22 Sep 2016

A NOTE ON LINEAR FUNCTIONAL NORMS

Complemented Subspaces in the Normed Spaces

EXTRACTING FUZZY IF-THEN RULE BY USING THE INFORMATION MATRIX TECHNIQUE WITH QUASI-TRIANGULAR FUZZY NUMBERS

FIXED POINT THEOREMS FOR NONSELF SINGLE-VALUED ALMOST CONTRACTIONS

Strongly unique best simulations approximation in linear 2-normed spaces

Existence and data dependence for multivalued weakly Ćirić-contractive operators

The best generalised inverse of the linear operator in normed linear space

Steepest descent approximations in Banach space 1

REAL RENORMINGS ON COMPLEX BANACH SPACES

Kannan mappings vs. Caristi mappings: An easy example

NONTRIVIAL SOLUTIONS TO INTEGRAL AND DIFFERENTIAL EQUATIONS

The combined Shepard-Lidstone bivariate operator

A SYNOPSIS OF HILBERT SPACE THEORY

Continuous family of eigenvalues concentrating in a small neighborhood at the right of the origin for a class of discrete boundary value problems

3 Orthogonality and Fourier series

The equivalence between a standard H-cone of functions on a saturated set and Exc U

A GENERALIZATION OF JENSEN EQUATION FOR SET-VALUED MAPS

On Linear Operators with Closed Range

Theory of PDE Homework 2

Direction of Movement of the Element of Minimal Norm in a Moving Convex Set

STARLIKE MAPPINGS OF ORDER α ON THE UNIT BALL IN COMPLEX BANACH SPACES

UNIQUENESS ALGEBRAIC CONDITIONS IN THE STUDY OF SECOND ORDER DIFFERENTIAL SYSTEMS. Let us consider the following second order differential system:

NONLINEAR FREDHOLM ALTERNATIVE FOR THE p-laplacian UNDER NONHOMOGENEOUS NEUMANN BOUNDARY CONDITION

ON SOME RESULTS ON LINEAR ORTHOGONALITY SPACES

ON LINEAR RECURRENCES WITH POSITIVE VARIABLE COEFFICIENTS IN BANACH SPACES

ON THE EIGENVALUE PROBLEM FOR A GENERALIZED HEMIVARIATIONAL INEQUALITY

BEST APPROXIMATIONS AND ORTHOGONALITIES IN 2k-INNER PRODUCT SPACES. Seong Sik Kim* and Mircea Crâşmăreanu. 1. Introduction

A NOTE ON MULTIVALUED MEIR-KEELER TYPE OPERATORS

A FIXED POINT PROOF OF THE CONVERGENCE OF A NEWTON-TYPE METHOD

Research Article Iterative Approximation of a Common Zero of a Countably Infinite Family of m-accretive Operators in Banach Spaces

SPECTRAL PROPERTIES OF THE LAPLACIAN ON BOUNDED DOMAINS

Remarks on the Spectrum of Bounded and Normal Operators on Hilbert Spaces

Compact operators on Banach spaces

ON PERIODIC SOLUTIONS TO SOME LAGRANGIAN SYSTEM WITH TWO DEGREES OF FREEDOM

ON THE HYPERBANACH SPACES. P. Raja. S.M. Vaezpour. 1. Introduction

TWO MAPPINGS RELATED TO SEMI-INNER PRODUCTS AND THEIR APPLICATIONS IN GEOMETRY OF NORMED LINEAR SPACES. S.S. Dragomir and J.J.

Strong Convergence Theorem by a Hybrid Extragradient-like Approximation Method for Variational Inequalities and Fixed Point Problems

Chapter 1. Optimality Conditions: Unconstrained Optimization. 1.1 Differentiable Problems

This is a submission to one of journals of TMRG: BJMA/AFA EXTENSION OF THE REFINED JENSEN S OPERATOR INEQUALITY WITH CONDITION ON SPECTRA

FIXED POINTS AND CONTINUITY OF ALMOST CONTRACTIONS

Solution of a polylocal problem using Tchebychev polynomials

Fall TMA4145 Linear Methods. Exercise set 10

arxiv: v1 [math.ca] 28 Apr 2013

Tiziana Cardinali Francesco Portigiani Paola Rubbioni. 1. Introduction

On nonexpansive and accretive operators in Banach spaces

A maximum principle for optimal control system with endpoint constraints

IE 521 Convex Optimization Homework #1 Solution

ETNA Kent State University

A MAXIMUM PRINCIPLE FOR A MULTIOBJECTIVE OPTIMAL CONTROL PROBLEM

Exceptional Family of Elements and Solvability of Mixed Variational Inequality Problems

A fixed point theorem for multivalued mappings

Stability of Noor Iteration for a General Class of Functions in Banach Spaces

SOME INEQUALITIES FOR (α, β)-normal OPERATORS IN HILBERT SPACES. 1. Introduction

The equivalence of Picard, Mann and Ishikawa iterations dealing with quasi-contractive operators

Viscosity approximation method for m-accretive mapping and variational inequality in Banach space

Proof that ker(t) is a Subspace of R n

A CHARACTERIZATION OF STRICT LOCAL MINIMIZERS OF ORDER ONE FOR STATIC MINMAX PROBLEMS IN THE PARAMETRIC CONSTRAINT CASE

Transcription:

General Mathematics Vol. 17, No. 2 (2009), 135 143 A Structural Theorem of the Generalized Spline Functions 1 Adrian Branga Abstract In the introduction of this paper is presented the definition of the generalized spline functions as solutions of a variational problem and are shown some theorems regarding to the existence and uniqueness. The main result of this article consist in a structural theorem of the generalized spline functions based on the properties of the spaces, operator and interpolatory set involved. 2000 Mathematics Subject Classification: 41A15, 41A65, 41A50 1 Introduction Definition 1. Let E 1 be a real linear space, (E 2,. 2 ) a normed real linear space, T : E 1 E 2 an operator and U E 1 a non-empty set. The problem of finding the elements s U which satisfy (1) T (s) 2 = inf u U T (u) 2, is called the general spline interpolation problem, corresponding to the set U. 1 Received 4 September, 2008 Accepted for publication (in revised form) 20 November, 2008 135

136 Adrian Branga A solution of this problem, provided that exists, is named general spline interpolation element, corresponding to the set U. The set U is called interpolatory set. In the sequel we assume that E 1 is a real linear space, (E 2, (.,.) 2,. 2 ) is a real Hilbert space, T : E 1 E 2 is a linear operator and U E 1 is a non-empty set. Theorem 1. (Existence Theorem) If U is a convex set and T (U) is a closed set, then the general spline interpolation problem (1) (corresponding to U) has at least a solution. The proof is shown in the papers [1, 3]. For every element s U we define the set (2) U(s) := U s. Lemma 1. For every element s U the set U(s) is non-empty (0 E1 U(s)). The result follows directly from the relation (2). Theorem 2. (Uniqueness Theorem) If U is a convex set, T (U) is a closed set and exists an element s U solution of the general spline interpolation problem (1) (corresponding to U), such that U(s) is linear subspace of E 1, then the following statements are true i) For any elements s 1, s 2 U solutions of the general spline interpolation problem (1) (corresponding to U) we have (3) s 1 s 2 Ker(T ) U(s); ii) The element s U is the unique solution of the general spline interpolation problem (1) (corresponding to U) if and only if (4) Ker(T ) U(s) = {0 E1 }.

A Structural Theorem of the Generalized Spline Functions 137 A proof is presented in the papers [1, 2]. Lemma 2. For every element s U the following statements are true i) T (U(s)) is non-empty set (0 E2 T (U(s))); ii) T(U) = T(s) + T(U(s)); iii) If U(s) is linear subspace of E 1, then T (U(s)) is linear subspace of E 2. For a proof see the paper [1]. Lemma 3. For every element s U the set (T (U(s))) has the following properties i) (T (U(s))) is non-empty set (0 E2 (T (U(s))) ); ii) (T (U(s))) is linear subspace of E 2 ; iii) (T (U(s))) is closed set; iv) (T (U(s))) (T (U(s))) = {0 E2 }. A proof is shown in the paper [1]. 2 Main result Theorem 3. An element s U, such that U(s) is linear subspace of E 1, is solution of the general spline interpolation problem (1) (corresponding to U) if and only if the following equality is true (5) T (U) (T (U(s))) = {T (s)}.

138 Adrian Branga Proof. Let s U be an element, such that U(s) is linear subspace of E 1. 1) Suppose that s is solution of the general spline interpolation problem (1) (corresponding to U) and show that the equality (5) is true. Since s U it is obvious that (6) T (s) T (U). Let λ [0, 1] be an arbitrary number and T (u 1 ), T (u 2 ) T (U) be arbitrary elements (u 1, u 2 U). From Lemma 2 ii) results that there are the elements T (ũ 1 ), T (ũ 2 ) T (U(s)) (ũ 1, ũ 2 U(s)) so that T (u 1 ) = T (s)+ T (ũ 1 ), T (u 2 ) = T (s) + T (ũ 2 ). Consequently, we have (1 λ)t (u 1 ) + λt (u 2 ) = (1 λ)(t (s) + T (ũ 1 )) + λ(t (s) + T (ũ 2 )) = = T (s) + ((1 λ)t (ũ 1 ) + λt (ũ 2 )). Because U(s) is linear subspace of E 1, applying Lemma 2 iii), results that T (U(s)) is linear subspace of E 2, hence (1 λ)t (ũ 1 ) + λt (ũ 2 ) T (U(s)). Therefore, we have (1 λ)t (u 1 ) + λt (u 2 ) T (s) + T (U(s)) and using Lemma 2 ii) we obtain (1 λ)t (u 1 ) + λt (u 2 ) T (U), i.e. T (U) is a convex set. Since s U is solution of the general spline interpolation problem (1) (corresponding to U) it follows that T (s) 2 = inf u U T (u) 2 and seeing the equality {T (u) u U} = {t t T (U)} it obtains (7) T (s) 2 = inf t 2. t T (U) Let t T (U) be an arbitrary element (u U).

A Structural Theorem of the Generalized Spline Functions 139 We consider a certain α (0, 1) and define the element (8) t = (1 α)t (s) + αt. Because α (0, 1), T (s), t T (U) and taking into account that T (U) is a convex set, from the relation (8) results (9) t T (U). Therefore, from the relations (7), (9) we deduce T (s) 2 t 2 and considering the equality (8) we find T (s) 2 (1 α)t (s) + αt 2, which is equivalent to (10) T (s) 2 2 (1 α)t (s) + αt 2 2. Using the properties of the inner product it obtains (11) (1 α)t (s) + αt 2 2 = T (s) + α(t T (s)) 2 2 = = T (s) 2 2 + 2α(T (s), t T (s)) 2 + α 2 t T (s) 2 2. Substituting the equality (11) in the relation (10) it follows that T (s) 2 2 T (s) 2 2 + 2α(T (s), t T (s)) 2 + α 2 t T (s) 2 2, i.e. 2α(T (s), t T (s)) 2 + α 2 t T (s) 2 2 0 and dividing by 2α (0, 2) we obtain (12) (T (s), t T (s)) 2 + α 2 t T (s) 2 2 0.

140 Adrian Branga Because α (0, 1) was chosen arbitrarily it follows that the inequality (12) holds ( ) α (0, 1) and passing to the limit for α 0 it obtains (T (s), t T (s)) 2 0. As the element t T (U) was chosen arbitrarily we deduce that the previous relation is true ( ) t T (U), i.e. (13) (T (s), t T (s)) 2 0, ( ) t T (U). Let show that in the relation (13) we have only equality. Suppose that ( ) t 0 T (U) such that (14) (T (s), t 0 T (s)) 2 > 0. Using the properties of the inner product, from the relation (14) we find (15) (T (s), T (s) t 0 ) 2 < 0. Because t 0 T (U) it results that T (s) t 0 T (s) T (U) and considering Lemma 2 ii) it obtains T (s) t 0 T (U(s)). But, U(s) being linear subspace of E 1, applying Lemma 2 iii) we deduce that T (U(s)) is linear subspace of E 2, hence T (U(s)) = T (U(s)). Consequently, T (s) t 0 T (U(s)) and using Lemma 2 ii) we find T (s) t 0 T (U) T (s), i.e. (16) ( ) t 1 T (U) such that T (s) t 0 = t 1 T (s). From the relations (15) and (16) it follows that there is an element t 1 T (U) so that (T (s), t 1 T (s)) 2 < 0, which is in contradiction with the relation (13). Therefore, the relation (13) is equivalent to (17) (T (s), t T (s)) 2 = 0, ( ) t T (U). Let t T (U(s)) be an arbitrary element.

A Structural Theorem of the Generalized Spline Functions 141 Applying Lemma 2 ii) we obtain that t T (U) T (s), so there is an element t T (U) such that t = t T (s). Using the relation (17) we deduce (T (s), t) 2 = 0. As the element t T (U(s)) was chosen arbitrarily we find that the previous relation is true ( ) t T (U(s)), hence (18) T (s) (T (U(s))). Consequently, from the relations (6) and (18) it follows that (19) T (s) T (U) (T (U(s))). Let show that T (s) is the unique element from T (U) (T (U(s))). Suppose that ( ) g T (U) (T (U(s))), with g T (s). Using the properties of the inner product it obtains (20) g T (s) 2 2 = (g T (s), g T (s)) 2 = (g T (s), g) 2 (g T (s), T (s)) 2. Because g T (U) we deduce that g T (s) T (U) T (s) and applying Lemma 2 ii) we find g T (s) T (U(s)). Taking into account that g (T (U(s))), T (s) (T (U(s))) it results (21) (g T (s), g) 2 = 0 respectively (22) (g T (s), T (s)) 2 = 0. Substituting the equalities (21), (22) in the relation (20) we obtain g T (s) 2 2 = 0, i.e. g = T (s), which is in contradiction with the assumption made before.

142 Adrian Branga Therefore, T (s) is the unique element from T (U) (T (U(s))), hence T (U) (T (U(s))) = {T (s)}. 2) Suppose that the equality (5) is true and show that s is solution of the general spline interpolation problem (1) (corresponding to U). Let t T (U) be an arbitrary element. Applying Lemma 2 ii) we deduce that there is an element t T (U(s)) such that t = T (s) + t. Taking into account that T (s) (T (U(s))) we find which is equivalent to (T (s), t) 2 = 0, (23) (T (s), t T (s)) 2 = 0. Using the properties of the inner product, considering the relation (23) and taking into account the properties of the norm, it follows that t 2 2 = T (s) + (t T (s)) 2 2 = = T (s) 2 2 + 2(T (s), t T (s)) 2 + t T (s) 2 2 = = T (s) 2 2 + t T (s) 2 2 T (s) 2 2, with equality if and only if t T (s) 2 2 = 0, i.e. t = T (s). The previous relation implies with equality if and only if t = T (s). T (s) 2 t 2, As the element t T (U) was chosen arbitrarily we obtain that the previous inequality is true ( ) t T (U), i.e. (24) T (s) 2 t 2, ( ) t T (U) and the equality is attained in the element t = T (s), which is equivalent to T (s) 2 = inf t 2. t T (U) Consequently, s is solution of the general spline interpolation problem (1) (corresponding to U).

A Structural Theorem of the Generalized Spline Functions 143 References [1] A. Branga, Contribuţii la Teoria Funcţiilor spline, Teză de Doctorat, Universitatea Babeş-Bolyai, Cluj-Napoca, 2002. [2] Gh. Micula, Funcţii spline şi aplicaţii, Editura Tehnică, Bucureşti, 1978. [3] Gh. Micula, S. Micula, Handbook of splines, Kluwer Acad. Publ., Dordrecht-Boston-London, 1999. Adrian Branga University Lucian Blaga of Sibiu Department of Mathematics Dr. I. Raţiu 5-7, Sibiu 550012, Romania e-mail: adrian branga@yahoo.com