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A Chebyshev set is a subset of a normed linear space that admits unique best approximations. In 1853, the Russian mathematician Chebyshev asked the question: "can we represent any continuous function defined on [a,b] by a polynomial, of degree at most n, in such a way that the maximum error at any point in [a,b] is controlled?" Since then, the mathematicians have searched : why such a polynomial should exist? If it does, can we hope to construct it? If it exists, is it also unique? What happens if we change the measure of error? The aim of this book is to study finite dimensional Chebyshev…mehr

Produktbeschreibung
A Chebyshev set is a subset of a normed linear space that admits unique best approximations. In 1853, the Russian mathematician Chebyshev asked the question: "can we represent any continuous function defined on [a,b] by a polynomial, of degree at most n, in such a way that the maximum error at any point in [a,b] is controlled?" Since then, the mathematicians have searched : why such a polynomial should exist? If it does, can we hope to construct it? If it exists, is it also unique? What happens if we change the measure of error? The aim of this book is to study finite dimensional Chebyshev subspaces of all classical Banach Spaces. In addition, you can find a valuable review for extreme points which are not found in books or articles. The main topics that are included in this book: Normed linear and Banach spaces, convexity, bounded linear operators, Hilbert spaces, topological vector spaces, Hahn-Banach theorems, reflexivity, w-topology and w -topology, extreme points and sets, best approximation and proximinal sets, Chebyshev subspaces, metric projection, uniqueness and Characterization of best approximation, existence of Chebyshev subspaces and Chebyshev Subspaces of C[a, b].
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Autorenporträt
Mohammed Al Ghafri is an Omani mathematician whose major work is on approximation theory. He received MSc from Sultan Qaboos University in 2016 & BSc from Sohar College of Applied Science in 2008. He has 9 years of teaching experience. His interest areas: functional analysis, Chebyshev subspace, number theory, etc.