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Norms in product spaces which preserve approximation properties

Published online by Cambridge University Press:  14 November 2011

Carlos Benítez
Affiliation:
Departamento de Matemáticas, Universidad de Extremadura, 06071 Badajoz, Spain
Manuel Fernández
Affiliation:
Departamento de Matemáticas, Universidad de Extremadura, 06071 Badajoz, Spain

Synopsis

Let E1 and E2 be real normed linear spaces such that the dimension of any of them is at least 2. We prove that the norms in E1 × E2 which verify a simple property of monotonicity with regard to the initial norms in E1 and E2 are the only norms in E1 × E2 which preserve best linear approximations, in the sense that ifykLk is best approximation to xk from the linear subspace Lk, (k = 1,2), then (y1, y2) is best approximation to (x1, x2) from L1 × L2.

Type
Research Article
Copyright
Copyright © Royal Society of Edinburgh 1987

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